Long-term surface water changes and driving cause in Xiong'an,China:from dense Landsat time series images and synthetic analysis
Long-term surface water changes and driving cause in Xiong'an, China:from dense Landsat time series images and synthetic analysis作者机构:Key Laboratory of Watershed Geographic SciencesNanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing 210008China Department of GeographyUniversity of CaliforniaLos AngelesLos AngelesCA 90095United States School of Earth Sciences and EngineeringHohai UniversityNanjing 211100China Department of Geographic Information ScienceNanjing UniversityNanjing 210023China
出 版 物:《Science Bulletin》 (科学通报(英文版))
年 卷 期:2018年第63卷第11期
页 面:708-716页
核心收录:
学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 07[理学] 08[工学] 0815[工学-水利工程] 0713[理学-生态学]
基 金:funded by the Thousand Young Talents Program in China(Y7QR011001) National Natural Science Foundation of China(41501445,41771366) Program of Provincial Natural Science Foundation of Anhui(1608085QD77) Program of Nanjing Institute of Geography and Limnology(NIGLAS2016TD01) funded by the United States Geological Surveying(USGS)Landsat Science Team Program Grant(G12PC00071)
主 题:Xiong'an New Area Surface water Baiyangdian Lake Remote sensing Climate change Landsat
摘 要:China's government statement recently reported the plan of constructing Xiong'an New Area, which aims to phase out some extra capital functions from Beijing and to explore an innovative urban development mode with the priority in eco-environmental protection. The New Area is located in the semi-arid North China Plain (NCP) and is home to NCP's largest natural freshwater wetland, Baiyangdian Lake. A comprehensive realization of surface water dynamics would be crucial for policy-makers to outline a sustainable environment development strategy for New Area. In this study, we used a total of 245 time slices of cloud-free Landsat images to document the continuous changes of water bodies within Xiong'an City dur- ing 1984-2016 and to provide detailed evidence of water presence and persistency states and changes under the influences of climate change and human actions. Our results reveal that the New Area water body areas varied dramatically during the past 33 years, ranging from 0.44 km^2 in April 1988 to 317.85 km^2 in February 1989. The change of surface water area was not characterized by a monotonically decreasing tendency. The evolution processes can be divided into four sub-stages: the first extreme desiccation in mid-1980s, the wet stage with the most extensive inundation areas and strong inter-annual fluctuations from late-1988 to late 1999, another desiccation stage in early 2000s, and the overall recovering stage between 2007 and 2016. We also mapped the maximum water inundation extents and frequencies of all-season, pre-wet season (February-May) and post-wet season (September-December) for the 33 years and different sub-periods. Although there is good agreement between time series of surface water area evolution in the New Area and station-based precipitation and evaporation variations, multipie lines of evidences reviewed in previous research indicate that the degraded Baiyangdian Lake was also tightly associated with human activities from various aspects, inc