摘要
利用遥感大数据平台GEE(Google Earth Engine)和GIS(Geographic Information System)技术,结合1984—2018年水文和气象等资料,对黄河三角洲地区岸线变迁的时间序列变化进行趋势分析,并研究河口岸段面积与年输沙量、年径流量、黄河三角洲年降水量的关系。分析结果表明,1984—2018年黄河三角洲总面积呈先增长后逐渐减少的趋势,转折点发生在1998年;莱州湾岸段和人工岸段面积因固岸工程的建设基本维持稳定;刁口河岸段面积呈下降趋势,主要由于黄河改道后失去水沙补给,同时受到海水动力作用侵蚀显著;河口岸段面积受输沙量、径流量和降水量影响,存在“后效”影响,面积呈增长趋势,但随着水沙补给的减少增长速度逐渐变缓。总体来说,入海泥沙量、径流量和降水量是影响黄河三角洲面积的重要因素,但随着人工海岸的增多以及源头水沙量减少等因素,黄河三角洲面积受非自然因素的影响越来越大。
Using remote sensing big data platform GEE(Google Earth Engine)and GIS(Geographic Information System)technology,combined with hydrological and meteorological data,this paper analyzes the time series change of the shore line in the Yellow River Delta region,and studies the relationship between the estuary area and annual sediment discharge,runoff and precipitation of the Yellow River Delta.The results show that the total area of the Yellow River Delta increased and then decreased gradually from 1984 to 2018,and the turning point occurred in 1998.The area of Laizhou Bay shore section and artificial shore section is basically stable due to the construction of solid shore project.The area of the Diaokou River shore section shows a downward trend,Which is mainly due to the loss of water and sand recharge after the yellow river re-route,and the erosion by the dynamic action of the sea water is significant.But as the supply of water and sand decreases,the rate of growth slows down.In general,the sediment discharge,runoff and precipitation into the sea are important factors affecting the area of the Yellow River Delta,but with the increase of artificial coast and the decrease of water and sand at the source,the area of the Yellow River Delta is more and more affected by unnatural factors.
作者
苏志明
孙永福
宋玉鹏
缪栋杰
宋丙辉
杜星
SU Zhi-ming;SUN Yong-fu;SONG Yu-peng;MIAO Dong-jie;SONG Bing-hui;DU Xing(First Institute of Oceangraphy,Ministry of Natural Resources,Qingdao 266061,China;National Deep Sea Center,Qingdao 266237,China;Marine Geology and Environment Laboratory Process,Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266235,China;School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China)
出处
《海洋科学进展》
CAS
CSCD
北大核心
2022年第1期90-101,共12页
Advances in Marine Science
基金
国家自然科学基金项目——考虑波致液化度影响的新型海底粉土力学强度预测模型研究(42007274)
山东省自然科学基金项目——波浪作用下海底沉积物内部孔压响应模拟试验技术研究(ZR2020QD073)。
