Unbalanced price changes across regions cause consumption inequalities within a large country.With consumer demand system model,this paper estimated the dynamic changes of the true-cost-of-living index(TCLI)and consum...Unbalanced price changes across regions cause consumption inequalities within a large country.With consumer demand system model,this paper estimated the dynamic changes of the true-cost-of-living index(TCLI)and consumption inequalities in China.Results indicate urban households experienced a rising TCLI from 2002 to 2014,among which,Liaoning increased the most and Guangdong the least.Beijing’s TCLI was the highest and Sichuan the lowest over the same period.Since 2008,the unbalanced rise of consumer price has gradually diminished,and gaps between real and nominal consumption inequalities have narrowed.However,real consumption inequalities continue to rise,and low-income groups are affected the most by inflation.展开更多
Tourism resources that span provincial boundaries in China play a pivotal role in regional development,yet effective governance poses persistent challenges.This study addresses this issue by constructing a comprehensi...Tourism resources that span provincial boundaries in China play a pivotal role in regional development,yet effective governance poses persistent challenges.This study addresses this issue by constructing a comprehensive database of transboundary natural tourism resources(TNTR)through amalgamation of diverse data sources.Utilizing the Getis-Ord Gi^(*),kernel density estimation,and geographical detectors,we scrutinize the spatial patterns of TNTR,focusing on both named and unnamed entities,while exploring the influencing factors.Our findings reveal 7883 identified TNTR in China,with mountain tourism resources emerging as the predominant type.Among provinces,Hunan boasts the highest count,while Shanghai exhibits the lowest.Southern China demonstrates a pronounced clustering trend in TNTR distribution,with the spatial arrangement of biological landscapes appearing more random compared to geological and water landscapes.Western China,characterized by intricate terrain,exhibits fewer TNTR,concurrently unveiling a significant presence of unnamed natural tourism resources.Crucially,administrative segmentation influences TNTR development,generating disparities in regional goals,developmental stages and intensities,and management approaches.In response to these variations,we advocate for strengthening the naming of the unnamed transboundary tourism resources,constructing a geographic database of TNTR for government and establishing a collaborative management mechanism based on TNTR database.Our research contributes to elucidating the intricate landscape of TNTR,offering insights for tailored governance strategies in the realm of cross-provincial tourism resource management.展开更多
The regulation and spatial differences of urban runoffs are of great concern in contemporary hydrological research.However,owing to a shortage of basic data sources and restrictions on urban hydrological simulation fu...The regulation and spatial differences of urban runoffs are of great concern in contemporary hydrological research.However,owing to a shortage of basic data sources and restrictions on urban hydrological simulation functions,simulating and investigating the regulation mechanism behind rainfall-runoff processes remain significantly challenging.In this study,the Time Variant Gain Model(TVGM),a hydrological nonlinear system model,was extrapolated to the hydrodynamic model of an urban drainage network system by integrating it with the widely used Stormwater Management Model(SWMM)to adequately simulate urban runoff events while considering various underlying surfaces and runoff routing modes,such as surface,drainage network and river runoff,in urban regions(i.e.,TVGM-SWMM).Moreover,runoff events were characterized using the following four runoff regime metrics:runoff coefficient,capture ratio of annual runoff volume,standardized flood timescale,and the ratio of occurrence time differences between flow and rainfall peak to event duration(peak flow delay time).The characteristics and spatial differences of urban runoff regulations were investigated,and the key impact factors and their relative contributions were identified using multivariate statistical analyses.Four communities were selected as our study areas,consisting of communities from Beijing,Shenzhen,Wuhan,and Chongqing.Our results showed that the TVGM-SWMM performed considerably better than SWMM alone.The comprehensive simulation accuracy of 60%of the events(12/20)improved by 4-86%,with the bias improving the most,followed by the efficiency coefficient.Barring the runoff coefficient,significant spatial differences were identified at the patch scale for the runoff regime metrics,with differences of 0.43,0.22,and 0.16(p<0.05).The key impact factors were the pipe length(r=0.51)in the drainage network system and the forest area ratios(r=0.56),sponge measures(r=0.52),grassland(r=0.48),and impervious surface(r=0.46)in the underlying surfaces.The contributions of the drainage network system and the underlying surfaces were 4.27%and 37.83%,respectively.Regulation in the Beijing community,dominated by grassland regulation,delayed and reduced the peak flow and total runoff volume.In the Shenzhen community,sharp and thin runoff events were mainly generated by impervious surfaces and were not adequately regulated.Forest regulation was the dominant regulation type in the Wuhan community,which reduced the total runoff volume and delayed the peak flow.Waterbody regulation was the primary regulation type in the Chongqing community,which reduced the total runoff volume and peak flow.This study aims to introduce a comprehensive theoretical and technical assessment of the hydrological effects of urbanization and the performance of sponge city construction and provide a reference for urban hydrological model improvements in China.展开更多
By taking the panel data of China mainland from 1996 to 2010 for an example, this paper used ESDA, gravity center and standard deviation ellipse to analyze the spatial differences, combined with the impulse response f...By taking the panel data of China mainland from 1996 to 2010 for an example, this paper used ESDA, gravity center and standard deviation ellipse to analyze the spatial differences, combined with the impulse response function to propose the infl uence mechanism of spatial evolution. The results showed that the provincial tourism economy generally showed a random spatial distribution and the spatial differences had narrowed from 1996 to 2010. The differences of tourism development in east China are the largest, and differences of the middle China are the smallest. The gravity center of Chinese provincial tourism has shifted to the northwest, the HH district concentrated in the Yangtze River Delta and its surroundings, the LL district concentrated in west Chinese. The high-value areas of city tourism economy are broadly distributed in the right of line "Heihe–Tengchong", mainly concentrated in four plates. Compared with spatial differences of provincial tourism economy, those of city tourism economy were more signifi cant. Regional tourism resources and social economic factors are the two major factors that infl uence spatial differences of tourism economy, the objective rule and policy and institution also have a great impact on regional tourism development differences. Special events may have a certain impact on the pattern of the original; however, it cannot change the spatial pattern completely.展开更多
Based on the connotation and process of innovation-driven development, we have developed a comprehensive evaluation system containing 20 indicators in five aspects, including innovation factors, innovation subjects, i...Based on the connotation and process of innovation-driven development, we have developed a comprehensive evaluation system containing 20 indicators in five aspects, including innovation factors, innovation subjects, innovation environments, innovation outputs, and development performance, to measure the levels of innovation-driven development in Sichuan province. Selecting 21 cities and prefectures in Sichuan province as research objects, we evaluated and measured the innovation-driven development levels of each city and prefecture using the entropy weight method(EWM). According to the evaluation results, the 21 cities and prefectures were divided into four categories depending on their levels of innovation-driven development: advanced-level, high-level, medium-level, and low-level. The results show that there are obvious spatial differences in terms of innovation-driven development levels among cities and prefectures in Sichuan province. Specifically, Chengdu, Mianyang, Panzhihua, and Deyang cities rank among the top four cities because of their advanced and high levels of innovation-driven development, while other cities and prefectures are at the medium and low levels. We also analyzed the innovation-driven development policies and practices of cities and prefectures in Sichuan province, to provide guidance for implementing innovation-driven development strategies in the cities and prefectures in the future.展开更多
Submesoscale processes in marginal seas usually have complex generating mechanisms,highly dependent on the local background flow and forcing.This numerical study investigates the spatial and seasonal differences of su...Submesoscale processes in marginal seas usually have complex generating mechanisms,highly dependent on the local background flow and forcing.This numerical study investigates the spatial and seasonal differences of submesoscale activities in the upper ocean of the South China Sea(SCS)and the different dynamical regimes for sub-regions.The spatial and seasonal variations of vertical vorticity,horizontal convergence,lateral buoyancy gradient,and strain rate are analyzed to compare the submesoscale phenomenon within four sub-regions,the northern region near the Luzon Strait(R1),the middle ocean basin(R2),the western SCS(R3),and the southern SCS(R4).The results suggest that the SCS submesoscale processes are highly heterogeneous in space,with different seasonalities in each sub-region.The submesoscale activities in the northern sub-regions(R1,R2)are active in winter but weak in summer,while there appears an almost seasonal anti-phase in the western region(R3)compared to R1 and R2.Interestingly,no clear seasonality of submesoscale features is shown in the southern region(R4).Further analysis of Ertel potential vorticity reveals different generating mechanisms of submesoscale processes in different sub-regions.Correlation analyses also show the vertical extent of vertical velocity and the role of monsoon in generating submesoscale activities in the upper ocean of sub-regions.All these results suggest that the sub-regions have different regimes for submesoscale processes,e.g.,Kuroshio intrusion(R1),monsoon modulation(R2),frontal effects(R3),topography wakes(R4).展开更多
Since the beginning of the 21st century,various crisis events have occurred frequently,inflicting substantial impacts on the tourism sector,which has garnered considerable scholarly and policy attention.Nevertheless,l...Since the beginning of the 21st century,various crisis events have occurred frequently,inflicting substantial impacts on the tourism sector,which has garnered considerable scholarly and policy attention.Nevertheless,limited research has systematically explored tourism resilience at the urban scale,and there is a paucity of studies comparing regional differences in tourism resilience under distinct crisis scenarios and their underlying causes.Thus,this study focuses on the Yangtze River Delta and the Pearl River Delta,employing Martin’s regional economic resilience measurement method.It assesses the tourism resilience of the two regions under the impact of the 2008 financial crisis and the COVID-19 pandemic,subsequently visualizing the data results using ArcGIS software.The study also endeavors to unveil potential causes for disparities in urban tourism resilience.The main conclusions are as follows:Firstly,regions with higher economic development exhibit relatively weaker tourism resilience during economic crises,yet demonstrate comparatively stronger resilience during public crises.Secondly,distinct differentiations exist both between and within the Yangtze River Delta and the Pearl River Delta,primarily stemming from variations such as geographical positioning,tourism resource endowments,and industrial and economic structures,both regionally and within individual cities.Thirdly,the determination of regional tourism resilience is intricate and cannot be restricted to a single dimension;multidimensional indicators better encapsulate the essence of regional tourism resilience.展开更多
Ecological security assessment and early warning research possess the attributes of spatiality, non-linearity and randomicity, so we must process much spatial information. Spatial analysis and data management are the ...Ecological security assessment and early warning research possess the attributes of spatiality, non-linearity and randomicity, so we must process much spatial information. Spatial analysis and data management are the advantages of GIS, which can define distribution trend and spatial relations of environmental factors, and show ecological security pattern graphically. Spatial differences of ecological security assessment based on GIS are discussed in this paper, of which the middle and lower reaches of the Liaohe River is taken as a study case. First, to work out pressure-state-response (P-S-R) assessment indicators system, and investigate in person and gather information; second, to digitize the watershed; third, to quantize and calculate by the fuzzy method; last, to construct GIS grid database, and expound spatial differences of ecological security by GIS interpolation and assembly analysis.展开更多
Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of rest...Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of restructuring types of rural settlements.This paper,taking Ezhou City of Hubei Province,China as the case study area,developed a potential inter-settlement network through considering settlements as nodes,and inter-settlement interactions induced by the spatial disparity of public facilities as edges,divided towns in Ezhou City into three zones based on community structure at the town level,and then identified four types of rural settlements in light of the characteristics of cluster patterns and centrality at the patch level.The results show that the inter-settlement network in Ezhou City presents apparent disparities in terms of community structure,cluster patterns and centrality.In community analysis,high inter-community and intra-community interactions are concentrated in well-developed areas in the north and east,while weak interactions between communities occur in the southern areas dominated by traditional agricultural production.Accordingly,three zones are divided such as the urban-leading zone,urban-rural integration zone and rural-leading zone.For the network centrality and cluster patterns,high-level rural settlements are mainly distributed in the urban-leading zone,followed by the urban-rural integration zone and the rural-leading zone.Moreover,the lump cluster pattern is observed in each zone,but the chain pattern and dispersed pattern largely occur in the rural-leading zone.At same time,four types of rural settlements are identified,namely urbanized settlements,central settlements,grassroots settlements and relocated settlements.The corresponding plans are discussed in different zones regarding urbanization,integration and characteristics to provide meaningful insights for policymakers to guide SRRS.This study would contribute to our understanding of the impact of social network involved in daily life on rural settlement reconstruction,and expect to provide theoretical and methodological support for rural sustainable development in practice.展开更多
Ecological security is the foundation and guarantee of sustainable development,and its importance is increasingly widely recognized and valued by the world.The Yangtze River Basin is an important ecological security b...Ecological security is the foundation and guarantee of sustainable development,and its importance is increasingly widely recognized and valued by the world.The Yangtze River Basin is an important ecological security barrier in China and the Wanjiang City Belt(WCB)along the Yangtze River is directly related to the ecological security pattern of the entire basin.Based on the Driver-Pressure-State-Impact-Response(DPSIR)model and a geographical information system(GIS)platform,an ecosystem security evaluation index system was constructed to measure and evaluate the evolution of ecosystem security in the WCB,China.Results showed that:1)From 2000 to 2018,the overall level of ecological security in the study area was in a state of either early warning or medium warning,but the level of ecological security in each prefecture-level city was significantly different.2)From the perspective of the evolution of the ecosystem,the value of its comprehensive evaluation index dropped from 4.255 in 2000 to 3.885 in 2018.From the perspective of subsystems,the value of Pressure comprehensive evaluation index is much higher than that of other subsystems,indicating that during the rapid development of the social economy,the pressure on the natural environment tended to rise,and triggered changes in the State and Response subsystems.3)The coefficient of variation(CV)of the Driver was much higher than other factors influencing the ecological security system.There are large differences in the economic development and ecological evolution of the cities in the WCB.This study has improved the theoretical research on regional ecological security,and has certain practical guiding significance for building a beautiful,green and sustainable China and promoting global ecological security.展开更多
Ecosystem Services(ES)are common-pool resources that can be valued by people’s willingness to pay(WTP).In contrast to place-based WTP research at the community-level,the stakeholders tend to be geographically diverse...Ecosystem Services(ES)are common-pool resources that can be valued by people’s willingness to pay(WTP).In contrast to place-based WTP research at the community-level,the stakeholders tend to be geographically diverse,and the benefits are not spatially apparent on the national level.Aiming to find the geographical diversity of the WTP for ES at the large scale,this study implemented an online survey of more than 25,000 samples to detect the WTP of Chinese people for water conservation,soil retention,carbon fixation,pollution decomposition,biodiversity conservation,and aesthetic existence of the Tibetan Plateau.The results showed the top limit of payments was 1,080.95 CNY/year/capita on average,and people would like to pay 172.40 CNY/year/capita for water conservation,which is the highest among the six ES.The percent of people“Aged 16–35”,“Government agency staff”and“Know WTP”influenced payments at provincial level.On an individual level,people’s knowledge and attitudes directly drove the payment amounts,as well as their ecosystem management decisions.Consequently,geographical diversity of the payment for ES exists in China,and in contrast to the objective social structure and spatial accessibility of ES,people’s knowledge and attitudes were the main driving forces of this geographical diversity.These findings suggest that a bottom-up adaptive governance approach is encouraged for managing common pool resources in developing countries.展开更多
Rural areas are multifunctional and often have production,living,and ecological functions.The high-quality and balanced development of these three functions is key to sustainable rural development(SRD).Thus,the evalua...Rural areas are multifunctional and often have production,living,and ecological functions.The high-quality and balanced development of these three functions is key to sustainable rural development(SRD).Thus,the evaluation of SRD based on rural multifunctionality is of immense significance.This study clarifies the rela‐tionship between multifunctionality and sustainable rural development.An evaluation index system with six sub-components was established for calculating the SRD.In addition,we included 129 counties from the Sich‐uan Province in our case study,and used this index system to analyze the characteristics of rural multifunc‐tionality for evaluating the SRD.The results showed indisputable evidence of multifunctional development.At the county level,rural multifunctionality faces the challenge of insufficient and uneven development,particu‐larly in production functions.Significant spatial differences existed in rural multifunctional development,and the suburban counties generally performed better.Moreover,a mutually reinforcing relationship between pro‐duction,living,and ecological functions was established;however,there was still a significant gap in realizing SRD.Our results emphasize the necessity of a differentiated SRD strategy that should be formulated and imple‐mented based on rural multifunctionality differentiation rules.Our study offers useful guidance for realizing rural multifunctional and sustainable development.展开更多
In this paper, we shall be concerned with the numerical solution of parabolic equations in one space variable and the time variable t. We expand Taylor series to derive a higher-order approximation for U<sub>t&l...In this paper, we shall be concerned with the numerical solution of parabolic equations in one space variable and the time variable t. We expand Taylor series to derive a higher-order approximation for U<sub>t</sub>. We begin with the simplest model problem, for heat conduction in a uniform medium. For this model problem, an explicit difference method is very straightforward in use, and the analysis of its error is easily accomplished by the use of a maximum principle. As we shall show, however, the numerical solution becomes unstable unless the time step is severely restricted, so we shall go on to consider other, more elaborate, numerical methods which can avoid such a restriction. The additional complication in the numerical calculation is more than offset by the smaller number of time steps needed. We then extend the methods to problems with more general boundary conditions, then to more general linear parabolic equations. Finally, we shall discuss the more difficult problem of the solution of nonlinear equations.展开更多
Due to sectoral interactions in the economy,the overall green efficiency(GE)of China’s industrial system relies heavily on fundamental sectors that contribute substantial energy to the supply chain production of othe...Due to sectoral interactions in the economy,the overall green efficiency(GE)of China’s industrial system relies heavily on fundamental sectors that contribute substantial energy to the supply chain production of other sectors but shows low sectoral GE.For the three fundamental sectors in China’s industrial systems,namely the smelting and pressing of nonferrous metals(SPNFM),the processing of petroleum,coking,and nuclear fuel(PPCNF);and the manufacturing of nonmetallic mineral products(MNMMP),we employed a three-stage data envelopment analysis(DEA)model to measure GE in the fundamental sectors in 30 provinces from 2010 to 2015.We then adopted a stochastic frontier analysis(SFA)model to evaluate the influence of technological innovation(TI),industrial agglomeration(IA),environmental regulation(ER),and intraindustry competition(IC).The results showed that GE in the three fundamental sectors varied spatially.Specifically,TI promoted GE in MNMMP,but the effect was not obvious in the SPNFM and PPCNF sectors.Moreover,ER had positive impacts on GE in the fundamental sectors.The effects of IA and IC on GE in the fundamental sectors varied in direction and strength.After eliminating the impacts of environmental effects and statistical noise,the real GE in the three fundamental sectors varied significantly compared to the comprehensive GE.Policy opportunities for enhancing GE in the fundamental sectors mainly lie in region-specific policy and regulations that avoid a“one-size-fits-all”governance approach.展开更多
The Qinling Mountains,located at the junction of warm temperate and subtropical zones,serve as the boundary between north and south China.Exploring the sensitivity of the response of vegetation there to hydrothermal d...The Qinling Mountains,located at the junction of warm temperate and subtropical zones,serve as the boundary between north and south China.Exploring the sensitivity of the response of vegetation there to hydrothermal dynamics elucidates the dynamics and mechanisms of the main vegetation types in the context of changes in temperature and moisture.Importance should be attached to changes in vegetation in different climate zones.To reveal the sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics,the spatio-temporal variation characteristics of the normalized vegetation index(NDVI)and the standardized precipitation evapotranspiration index(SPEI)on the northern and southern slopes of the Qinling Mountains from 2000 to 2018 are explored using the meteorological data of 32 meteorological stations and the MODIS NDVI datasets.The results show that:1)The overall vegetation coverage of the Qinling Mountains improved significantly from 2000 to 2018.The NDVI rise rate and area ratio on the southern slope were higher than those on the northern slope,and the vegetation on the southern slope improved more than that on the northern slope.The Qinling Mountains showed an insignificant humidification trend.The humidification rate and humidification area of the northern slope were greater than those on the southern slope.2)Vegetation on the northern slope of the Qinling Mountains was more sensitive to hydrothermal dynamics than that on the southern slope.Vegetation was most sensitive to hydrothermal dynamics from March to June on the northern slope,and from March to May(spring)on the southern slope.The vegetation on the northern and southern slopes was mainly affected by hydrothermal dynamics on a scale of 3–7 months,responding weakly to hydrothermal dynamics on a scale of 11–12 months.3)Some 90.34%of NDVI and SPEI was positively correlated in the Qinling Mountains.Spring humidification in most parts of the study area promoted the growth of vegetation all the year round.The sensitivity of vegetation responses to hydrothermal dynamics with increasing altitude increased first and then decreased.Elevations of 800 to 1200 m were the most sensitive range for vegetation response to hydrothermal dynamics.The sensitivity of the vegetation response at elevations of 1200–3000 m decreased with increasing altitude.As regards to vegetation type,grass was most sensitive to hydrothermal dynamics on both the northern and southern slopes of the Qinling Mountains;but most other vegetation types on the northern slope were more sensitive to hydrothermal dynamics than those on the southern slope.展开更多
文摘Unbalanced price changes across regions cause consumption inequalities within a large country.With consumer demand system model,this paper estimated the dynamic changes of the true-cost-of-living index(TCLI)and consumption inequalities in China.Results indicate urban households experienced a rising TCLI from 2002 to 2014,among which,Liaoning increased the most and Guangdong the least.Beijing’s TCLI was the highest and Sichuan the lowest over the same period.Since 2008,the unbalanced rise of consumer price has gradually diminished,and gaps between real and nominal consumption inequalities have narrowed.However,real consumption inequalities continue to rise,and low-income groups are affected the most by inflation.
基金funded by the by the Youth Program of the National Natural Science Foundation of China(Grants No.42001243,and 42201311)the Humanities and Social Science Project of the Ministry of Education,China(Grants No.20YJC630212,and 22YJCZH071)+1 种基金the Youth Program of the Natural Science Foundation of Shandong Province,China(Grants No.ZR2020QD008)Frontier Science Research Support Program,Management College,OUC(Grants No.MCQYZD2305,and MCQYYB2309).
文摘Tourism resources that span provincial boundaries in China play a pivotal role in regional development,yet effective governance poses persistent challenges.This study addresses this issue by constructing a comprehensive database of transboundary natural tourism resources(TNTR)through amalgamation of diverse data sources.Utilizing the Getis-Ord Gi^(*),kernel density estimation,and geographical detectors,we scrutinize the spatial patterns of TNTR,focusing on both named and unnamed entities,while exploring the influencing factors.Our findings reveal 7883 identified TNTR in China,with mountain tourism resources emerging as the predominant type.Among provinces,Hunan boasts the highest count,while Shanghai exhibits the lowest.Southern China demonstrates a pronounced clustering trend in TNTR distribution,with the spatial arrangement of biological landscapes appearing more random compared to geological and water landscapes.Western China,characterized by intricate terrain,exhibits fewer TNTR,concurrently unveiling a significant presence of unnamed natural tourism resources.Crucially,administrative segmentation influences TNTR development,generating disparities in regional goals,developmental stages and intensities,and management approaches.In response to these variations,we advocate for strengthening the naming of the unnamed transboundary tourism resources,constructing a geographic database of TNTR for government and establishing a collaborative management mechanism based on TNTR database.Our research contributes to elucidating the intricate landscape of TNTR,offering insights for tailored governance strategies in the realm of cross-provincial tourism resource management.
基金supported by the Subproject of Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA23040301)the National Natural Science Foundation of China(Grant No.42071041)。
文摘The regulation and spatial differences of urban runoffs are of great concern in contemporary hydrological research.However,owing to a shortage of basic data sources and restrictions on urban hydrological simulation functions,simulating and investigating the regulation mechanism behind rainfall-runoff processes remain significantly challenging.In this study,the Time Variant Gain Model(TVGM),a hydrological nonlinear system model,was extrapolated to the hydrodynamic model of an urban drainage network system by integrating it with the widely used Stormwater Management Model(SWMM)to adequately simulate urban runoff events while considering various underlying surfaces and runoff routing modes,such as surface,drainage network and river runoff,in urban regions(i.e.,TVGM-SWMM).Moreover,runoff events were characterized using the following four runoff regime metrics:runoff coefficient,capture ratio of annual runoff volume,standardized flood timescale,and the ratio of occurrence time differences between flow and rainfall peak to event duration(peak flow delay time).The characteristics and spatial differences of urban runoff regulations were investigated,and the key impact factors and their relative contributions were identified using multivariate statistical analyses.Four communities were selected as our study areas,consisting of communities from Beijing,Shenzhen,Wuhan,and Chongqing.Our results showed that the TVGM-SWMM performed considerably better than SWMM alone.The comprehensive simulation accuracy of 60%of the events(12/20)improved by 4-86%,with the bias improving the most,followed by the efficiency coefficient.Barring the runoff coefficient,significant spatial differences were identified at the patch scale for the runoff regime metrics,with differences of 0.43,0.22,and 0.16(p<0.05).The key impact factors were the pipe length(r=0.51)in the drainage network system and the forest area ratios(r=0.56),sponge measures(r=0.52),grassland(r=0.48),and impervious surface(r=0.46)in the underlying surfaces.The contributions of the drainage network system and the underlying surfaces were 4.27%and 37.83%,respectively.Regulation in the Beijing community,dominated by grassland regulation,delayed and reduced the peak flow and total runoff volume.In the Shenzhen community,sharp and thin runoff events were mainly generated by impervious surfaces and were not adequately regulated.Forest regulation was the dominant regulation type in the Wuhan community,which reduced the total runoff volume and delayed the peak flow.Waterbody regulation was the primary regulation type in the Chongqing community,which reduced the total runoff volume and peak flow.This study aims to introduce a comprehensive theoretical and technical assessment of the hydrological effects of urbanization and the performance of sponge city construction and provide a reference for urban hydrological model improvements in China.
基金Sponsored by Natural Science Fund of China(41271149,41401144)Youth Fund for Humanistic and Social Sciences Programs of the Ministry of Education(14YJC790003)Academic and Technical Leader Introduction Project of Anhui University(J10117700056)
文摘By taking the panel data of China mainland from 1996 to 2010 for an example, this paper used ESDA, gravity center and standard deviation ellipse to analyze the spatial differences, combined with the impulse response function to propose the infl uence mechanism of spatial evolution. The results showed that the provincial tourism economy generally showed a random spatial distribution and the spatial differences had narrowed from 1996 to 2010. The differences of tourism development in east China are the largest, and differences of the middle China are the smallest. The gravity center of Chinese provincial tourism has shifted to the northwest, the HH district concentrated in the Yangtze River Delta and its surroundings, the LL district concentrated in west Chinese. The high-value areas of city tourism economy are broadly distributed in the right of line "Heihe–Tengchong", mainly concentrated in four plates. Compared with spatial differences of provincial tourism economy, those of city tourism economy were more signifi cant. Regional tourism resources and social economic factors are the two major factors that infl uence spatial differences of tourism economy, the objective rule and policy and institution also have a great impact on regional tourism development differences. Special events may have a certain impact on the pattern of the original; however, it cannot change the spatial pattern completely.
文摘Based on the connotation and process of innovation-driven development, we have developed a comprehensive evaluation system containing 20 indicators in five aspects, including innovation factors, innovation subjects, innovation environments, innovation outputs, and development performance, to measure the levels of innovation-driven development in Sichuan province. Selecting 21 cities and prefectures in Sichuan province as research objects, we evaluated and measured the innovation-driven development levels of each city and prefecture using the entropy weight method(EWM). According to the evaluation results, the 21 cities and prefectures were divided into four categories depending on their levels of innovation-driven development: advanced-level, high-level, medium-level, and low-level. The results show that there are obvious spatial differences in terms of innovation-driven development levels among cities and prefectures in Sichuan province. Specifically, Chengdu, Mianyang, Panzhihua, and Deyang cities rank among the top four cities because of their advanced and high levels of innovation-driven development, while other cities and prefectures are at the medium and low levels. We also analyzed the innovation-driven development policies and practices of cities and prefectures in Sichuan province, to provide guidance for implementing innovation-driven development strategies in the cities and prefectures in the future.
基金The National Key Research and Development Program of China under contract No.2017YFA0604104the National Natural Science Foundation of China under contract Nos 42176004,92058201 and 41776040the Fundamental Research Funds for the Central Universities under contract No.B220202050.
文摘Submesoscale processes in marginal seas usually have complex generating mechanisms,highly dependent on the local background flow and forcing.This numerical study investigates the spatial and seasonal differences of submesoscale activities in the upper ocean of the South China Sea(SCS)and the different dynamical regimes for sub-regions.The spatial and seasonal variations of vertical vorticity,horizontal convergence,lateral buoyancy gradient,and strain rate are analyzed to compare the submesoscale phenomenon within four sub-regions,the northern region near the Luzon Strait(R1),the middle ocean basin(R2),the western SCS(R3),and the southern SCS(R4).The results suggest that the SCS submesoscale processes are highly heterogeneous in space,with different seasonalities in each sub-region.The submesoscale activities in the northern sub-regions(R1,R2)are active in winter but weak in summer,while there appears an almost seasonal anti-phase in the western region(R3)compared to R1 and R2.Interestingly,no clear seasonality of submesoscale features is shown in the southern region(R4).Further analysis of Ertel potential vorticity reveals different generating mechanisms of submesoscale processes in different sub-regions.Correlation analyses also show the vertical extent of vertical velocity and the role of monsoon in generating submesoscale activities in the upper ocean of sub-regions.All these results suggest that the sub-regions have different regimes for submesoscale processes,e.g.,Kuroshio intrusion(R1),monsoon modulation(R2),frontal effects(R3),topography wakes(R4).
基金funded by National Natural Science Foundation of China,grant number 42271182.
文摘Since the beginning of the 21st century,various crisis events have occurred frequently,inflicting substantial impacts on the tourism sector,which has garnered considerable scholarly and policy attention.Nevertheless,limited research has systematically explored tourism resilience at the urban scale,and there is a paucity of studies comparing regional differences in tourism resilience under distinct crisis scenarios and their underlying causes.Thus,this study focuses on the Yangtze River Delta and the Pearl River Delta,employing Martin’s regional economic resilience measurement method.It assesses the tourism resilience of the two regions under the impact of the 2008 financial crisis and the COVID-19 pandemic,subsequently visualizing the data results using ArcGIS software.The study also endeavors to unveil potential causes for disparities in urban tourism resilience.The main conclusions are as follows:Firstly,regions with higher economic development exhibit relatively weaker tourism resilience during economic crises,yet demonstrate comparatively stronger resilience during public crises.Secondly,distinct differentiations exist both between and within the Yangtze River Delta and the Pearl River Delta,primarily stemming from variations such as geographical positioning,tourism resource endowments,and industrial and economic structures,both regionally and within individual cities.Thirdly,the determination of regional tourism resilience is intricate and cannot be restricted to a single dimension;multidimensional indicators better encapsulate the essence of regional tourism resilience.
文摘Ecological security assessment and early warning research possess the attributes of spatiality, non-linearity and randomicity, so we must process much spatial information. Spatial analysis and data management are the advantages of GIS, which can define distribution trend and spatial relations of environmental factors, and show ecological security pattern graphically. Spatial differences of ecological security assessment based on GIS are discussed in this paper, of which the middle and lower reaches of the Liaohe River is taken as a study case. First, to work out pressure-state-response (P-S-R) assessment indicators system, and investigate in person and gather information; second, to digitize the watershed; third, to quantize and calculate by the fuzzy method; last, to construct GIS grid database, and expound spatial differences of ecological security by GIS interpolation and assembly analysis.
基金Under the auspices of the National Natural Science Foundation of China(No.41871301)。
文摘Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of restructuring types of rural settlements.This paper,taking Ezhou City of Hubei Province,China as the case study area,developed a potential inter-settlement network through considering settlements as nodes,and inter-settlement interactions induced by the spatial disparity of public facilities as edges,divided towns in Ezhou City into three zones based on community structure at the town level,and then identified four types of rural settlements in light of the characteristics of cluster patterns and centrality at the patch level.The results show that the inter-settlement network in Ezhou City presents apparent disparities in terms of community structure,cluster patterns and centrality.In community analysis,high inter-community and intra-community interactions are concentrated in well-developed areas in the north and east,while weak interactions between communities occur in the southern areas dominated by traditional agricultural production.Accordingly,three zones are divided such as the urban-leading zone,urban-rural integration zone and rural-leading zone.For the network centrality and cluster patterns,high-level rural settlements are mainly distributed in the urban-leading zone,followed by the urban-rural integration zone and the rural-leading zone.Moreover,the lump cluster pattern is observed in each zone,but the chain pattern and dispersed pattern largely occur in the rural-leading zone.At same time,four types of rural settlements are identified,namely urbanized settlements,central settlements,grassroots settlements and relocated settlements.The corresponding plans are discussed in different zones regarding urbanization,integration and characteristics to provide meaningful insights for policymakers to guide SRRS.This study would contribute to our understanding of the impact of social network involved in daily life on rural settlement reconstruction,and expect to provide theoretical and methodological support for rural sustainable development in practice.
基金Under the auspices of National Natural Science Foundation of China(No.41571124)。
文摘Ecological security is the foundation and guarantee of sustainable development,and its importance is increasingly widely recognized and valued by the world.The Yangtze River Basin is an important ecological security barrier in China and the Wanjiang City Belt(WCB)along the Yangtze River is directly related to the ecological security pattern of the entire basin.Based on the Driver-Pressure-State-Impact-Response(DPSIR)model and a geographical information system(GIS)platform,an ecosystem security evaluation index system was constructed to measure and evaluate the evolution of ecosystem security in the WCB,China.Results showed that:1)From 2000 to 2018,the overall level of ecological security in the study area was in a state of either early warning or medium warning,but the level of ecological security in each prefecture-level city was significantly different.2)From the perspective of the evolution of the ecosystem,the value of its comprehensive evaluation index dropped from 4.255 in 2000 to 3.885 in 2018.From the perspective of subsystems,the value of Pressure comprehensive evaluation index is much higher than that of other subsystems,indicating that during the rapid development of the social economy,the pressure on the natural environment tended to rise,and triggered changes in the State and Response subsystems.3)The coefficient of variation(CV)of the Driver was much higher than other factors influencing the ecological security system.There are large differences in the economic development and ecological evolution of the cities in the WCB.This study has improved the theoretical research on regional ecological security,and has certain practical guiding significance for building a beautiful,green and sustainable China and promoting global ecological security.
基金supported by the Strategic Prior-ity Research Program of Chinese Academy of Sciences(Grant No.XDA20020402)the Second Tibetan Plateau Scientific Expedition and Research Program(Grant No.2019QZKK0405)+1 种基金the National Natu-ral Science Foundation of China(Grant No.41861134038)and the Fundamental Research Funds for the Central Universities of China.
文摘Ecosystem Services(ES)are common-pool resources that can be valued by people’s willingness to pay(WTP).In contrast to place-based WTP research at the community-level,the stakeholders tend to be geographically diverse,and the benefits are not spatially apparent on the national level.Aiming to find the geographical diversity of the WTP for ES at the large scale,this study implemented an online survey of more than 25,000 samples to detect the WTP of Chinese people for water conservation,soil retention,carbon fixation,pollution decomposition,biodiversity conservation,and aesthetic existence of the Tibetan Plateau.The results showed the top limit of payments was 1,080.95 CNY/year/capita on average,and people would like to pay 172.40 CNY/year/capita for water conservation,which is the highest among the six ES.The percent of people“Aged 16–35”,“Government agency staff”and“Know WTP”influenced payments at provincial level.On an individual level,people’s knowledge and attitudes directly drove the payment amounts,as well as their ecosystem management decisions.Consequently,geographical diversity of the payment for ES exists in China,and in contrast to the objective social structure and spatial accessibility of ES,people’s knowledge and attitudes were the main driving forces of this geographical diversity.These findings suggest that a bottom-up adaptive governance approach is encouraged for managing common pool resources in developing countries.
文摘Rural areas are multifunctional and often have production,living,and ecological functions.The high-quality and balanced development of these three functions is key to sustainable rural development(SRD).Thus,the evaluation of SRD based on rural multifunctionality is of immense significance.This study clarifies the rela‐tionship between multifunctionality and sustainable rural development.An evaluation index system with six sub-components was established for calculating the SRD.In addition,we included 129 counties from the Sich‐uan Province in our case study,and used this index system to analyze the characteristics of rural multifunc‐tionality for evaluating the SRD.The results showed indisputable evidence of multifunctional development.At the county level,rural multifunctionality faces the challenge of insufficient and uneven development,particu‐larly in production functions.Significant spatial differences existed in rural multifunctional development,and the suburban counties generally performed better.Moreover,a mutually reinforcing relationship between pro‐duction,living,and ecological functions was established;however,there was still a significant gap in realizing SRD.Our results emphasize the necessity of a differentiated SRD strategy that should be formulated and imple‐mented based on rural multifunctionality differentiation rules.Our study offers useful guidance for realizing rural multifunctional and sustainable development.
文摘In this paper, we shall be concerned with the numerical solution of parabolic equations in one space variable and the time variable t. We expand Taylor series to derive a higher-order approximation for U<sub>t</sub>. We begin with the simplest model problem, for heat conduction in a uniform medium. For this model problem, an explicit difference method is very straightforward in use, and the analysis of its error is easily accomplished by the use of a maximum principle. As we shall show, however, the numerical solution becomes unstable unless the time step is severely restricted, so we shall go on to consider other, more elaborate, numerical methods which can avoid such a restriction. The additional complication in the numerical calculation is more than offset by the smaller number of time steps needed. We then extend the methods to problems with more general boundary conditions, then to more general linear parabolic equations. Finally, we shall discuss the more difficult problem of the solution of nonlinear equations.
基金This research was financially supported by the National Social Science Fund of China(No.18BJY038)National Natural Science Foundation of China(No.72071220)+1 种基金Heilongjiang Philosophy and Social Science Research Planning Project(No.16GLB09)First Class Academic Discipline Construction Project of Central University of Finance and Economics(No.20190807-8).
文摘Due to sectoral interactions in the economy,the overall green efficiency(GE)of China’s industrial system relies heavily on fundamental sectors that contribute substantial energy to the supply chain production of other sectors but shows low sectoral GE.For the three fundamental sectors in China’s industrial systems,namely the smelting and pressing of nonferrous metals(SPNFM),the processing of petroleum,coking,and nuclear fuel(PPCNF);and the manufacturing of nonmetallic mineral products(MNMMP),we employed a three-stage data envelopment analysis(DEA)model to measure GE in the fundamental sectors in 30 provinces from 2010 to 2015.We then adopted a stochastic frontier analysis(SFA)model to evaluate the influence of technological innovation(TI),industrial agglomeration(IA),environmental regulation(ER),and intraindustry competition(IC).The results showed that GE in the three fundamental sectors varied spatially.Specifically,TI promoted GE in MNMMP,but the effect was not obvious in the SPNFM and PPCNF sectors.Moreover,ER had positive impacts on GE in the fundamental sectors.The effects of IA and IC on GE in the fundamental sectors varied in direction and strength.After eliminating the impacts of environmental effects and statistical noise,the real GE in the three fundamental sectors varied significantly compared to the comprehensive GE.Policy opportunities for enhancing GE in the fundamental sectors mainly lie in region-specific policy and regulations that avoid a“one-size-fits-all”governance approach.
基金Key Research and Development Program of Shaanxi Province,No.2019ZDLSF05-02,No.2020SF-400Shaanxi Province Water Conservancy Science and Technology Project,No.2020slkj-13。
文摘The Qinling Mountains,located at the junction of warm temperate and subtropical zones,serve as the boundary between north and south China.Exploring the sensitivity of the response of vegetation there to hydrothermal dynamics elucidates the dynamics and mechanisms of the main vegetation types in the context of changes in temperature and moisture.Importance should be attached to changes in vegetation in different climate zones.To reveal the sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics,the spatio-temporal variation characteristics of the normalized vegetation index(NDVI)and the standardized precipitation evapotranspiration index(SPEI)on the northern and southern slopes of the Qinling Mountains from 2000 to 2018 are explored using the meteorological data of 32 meteorological stations and the MODIS NDVI datasets.The results show that:1)The overall vegetation coverage of the Qinling Mountains improved significantly from 2000 to 2018.The NDVI rise rate and area ratio on the southern slope were higher than those on the northern slope,and the vegetation on the southern slope improved more than that on the northern slope.The Qinling Mountains showed an insignificant humidification trend.The humidification rate and humidification area of the northern slope were greater than those on the southern slope.2)Vegetation on the northern slope of the Qinling Mountains was more sensitive to hydrothermal dynamics than that on the southern slope.Vegetation was most sensitive to hydrothermal dynamics from March to June on the northern slope,and from March to May(spring)on the southern slope.The vegetation on the northern and southern slopes was mainly affected by hydrothermal dynamics on a scale of 3–7 months,responding weakly to hydrothermal dynamics on a scale of 11–12 months.3)Some 90.34%of NDVI and SPEI was positively correlated in the Qinling Mountains.Spring humidification in most parts of the study area promoted the growth of vegetation all the year round.The sensitivity of vegetation responses to hydrothermal dynamics with increasing altitude increased first and then decreased.Elevations of 800 to 1200 m were the most sensitive range for vegetation response to hydrothermal dynamics.The sensitivity of the vegetation response at elevations of 1200–3000 m decreased with increasing altitude.As regards to vegetation type,grass was most sensitive to hydrothermal dynamics on both the northern and southern slopes of the Qinling Mountains;but most other vegetation types on the northern slope were more sensitive to hydrothermal dynamics than those on the southern slope.
