干旱区生态环境知识资源中心(Arid): Long-term surface water changes and driving cause in Xiong'an, China: from dense Landsat time series images and synthetic analysis

Arid

	Long-term surface water changes and driving cause in Xiong'an, China: from dense Landsat time series images and synthetic analysis
	Song Chunqiao; Ke Linghong; Pan Hang; Zhan Shengan; Liu Kai; Ma Ronghua
来源期刊	Science Bulletin
ISSN	2095-9273
出版年	2018
卷号	63 期号:11 页码:708-716
英文摘要	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 during 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 km2 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, multiple lines of evidences reviewed in previous research indicate that the degraded Baiyangdian Lake was also tightly associated with human activities from various aspects, including dam construction, groundwater extraction, agricultural irrigation, etc. We highlighted the current status of exploring the driving mechanism of surface water changes and existing problems, and then offer recommendations.
英文关键词	Xiong'an New Area Surface water Baiyangdian Lake Remote sensing Climate change Landsat
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6277806
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335973
作者单位	Song Chunqiao, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences;;Department of Geography, University of California, Los Angeles, Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences;;, Nanjing;;Los Angeles, ;;United States 210008;;90095.; Ke Linghong, Department of Geography, University of California, Los Angeles;;School of Earth Sciences and Engineering, Hohai University, ;;, Los Angeles;;Nanjing, United States;; 90095;;211100.; Pan Hang, Department of Geography, University of California, Los Angeles;;Department of Geographic Information Science, Nanjing University, ;;, Los Angeles;;Nanjing, United States;; 90095;;210023.; Zhan Shengan, Department of Geography, University of California, Los Angeles, Los Angeles, United States 90095.; Liu Kai, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China.; Ma Ronghua, Nanjing Institute o...
推荐引用方式 GB/T 7714	Song Chunqiao,Ke Linghong,Pan Hang,et al. Long-term surface water changes and driving cause in Xiong'an, China: from dense Landsat time series images and synthetic analysis[J],2018,63(11):708-716.
APA	Song Chunqiao,Ke Linghong,Pan Hang,Zhan Shengan,Liu Kai,&Ma Ronghua.(2018).Long-term surface water changes and driving cause in Xiong'an, China: from dense Landsat time series images and synthetic analysis.Science Bulletin,63(11),708-716.
MLA	Song Chunqiao,et al."Long-term surface water changes and driving cause in Xiong'an, China: from dense Landsat time series images and synthetic analysis".Science Bulletin 63.11(2018):708-716.