摘要
许多内陆水体存在季节性变化,了解这种地表水资源的季节性行为对区域甚至全球尺度的水文和生态演变具有重要意义。本研究利用Landsat TM/ETM+/OLI等多源遥感影像解译提取了宁夏平原1996—2020年近25年的枯水期和丰水期的湿地水体数据。通过对丰、枯水期湿地数据进行面积统计对比和空间叠加分析,量化分析湿地水体资源在气候变化背景下的季节性变化特征和模式。以1个月和3个月时间尺度标准化降水蒸发指数(Standardized Precipitation Evapotranspiration Index,SPEI)作为旱涝指数,结合对应的湿地水体面积季节性变化值,通过曲线拟合、相关分析和显著性检验,定量分析湿地水体对季节性气候干旱胁迫的响应。结果表明:(1)1996—2020年间研究区内丰、枯水期湿地水体面积最大变化值为404.84km2(2018年),最小面积变化值为9.1km2(2000年),近25年丰、枯水期湿地面积平均变化163.17km2。(2)从整体上看,1个月尺度和3个月尺度的SPEI的丰、枯水期变化值多年均值分别为0.565和1.403。(3)湿地水体面积变化与1个月尺度的SPEI变化值之间的相关性较低,而与3个月尺度的SPEI的变化值呈显著正相关性,其线性回归判定系数R2=0.828 2(p<0.01),多项式回归判定系数R2=0.852 7(p<0.01)。水文气候变化是内陆干旱区地表水资源季节性演变的主要影响因素之一。
Many inland water bodies exhibit seasonal variation, and understanding the seasonal behavior of such surface water resources has important implications for hydrological and ecological evolution at regional and even terrestrial scales. The wetland water data of the Ningxia Plain during the dry and wet periods from 1996 to 2002 were extracted from Landsat TM/ETM+/OLI and other multi-source remote sensing images. Through area statistical comparison and spatial overlay analysis of wet and dry season wetland data, the seasonal change characteristics and patterns of wetland water resources under the background of climate change are quantitatively analyzed. The response of wetland water bodies to seasonal climatic drought stress is quantified by curve fitting, correlation analysis and significance test using the 1-month and 3-month time-scale SPEI as the drought and flood indices, and the corresponding seasonal wetland area change values. The results show that:(1) From 1996 to 2020, the maximum change value of wetland area between wet and dry seasons in the study area was 404.84 km~2, and the minimum area change value was 9.1 km~2. The average change of wetland area between wet and dry seasons was 163.17 km~2.(2) On the whole, the multi-year mean values of SPEI’s variation between wet and dry seasons on the 1-month and 3-month scales were 0.565 and 1.40.(3) The correlation between the wetland area change value and the SPEI change value on the 1-month scale was low, but it had a significant positive correlation with the SPEI change value on the 3-month scale, which had a linear regression coefficient of determination R2= 0.828 2(p <0.01) and had a polynomial regression coefficient of determination R2=0.852 7(p<0.01). Hydroclimatic change is one of the main factors affecting the seasonal evolution of surface water resources in land arid regions.
作者
邹业斌
柴明堂
杨娟
冯东溥
舒瑞
何文文
ZOU Ye-bin;CHAI Ming-tang;YANG Juan;FENG Dong-pu;SHU Rui;HE Wen-wen(School of Civil and Hydraulic Engineering,Ningxia University,Yinchuan Ningxia 750021,China;Key Laboratory of the Internet of Water and Digital Water Governance of the Yellow River,Ningxia University,Yinchuan Ningxia 750021,China;School of Public Administration,China University of Geosciences,Wuhan Hubei 430074,China;Ningxia Natural Resources Survey and Investigation Institute,Yinchuan Ningxia 750002,China;Hunan Third Institute of Surveying and Mapping,Changsha Hunan 410000,China)
出处
《河北省科学院学报》
CAS
2023年第1期47-57,共11页
Journal of The Hebei Academy of Sciences
基金
宁夏自然科学基金项目(2021AAC03060)
宁夏自然科学基金项目(2022AAC03052)
宁夏高等学校一流学科建设项目(NXYLXK2021A03)。
