| DEM在湖泊水文变化研究中的应用进展 |
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| 引用本文： | 罗竹,刘凯,张春亢,邓心远,马荣华,宋春桥.DEM在湖泊水文变化研究中的应用进展[J].地球信息科学,2020,22(7):1510-1521. |
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| 作者姓名： | 罗竹 刘凯 张春亢 邓心远 马荣华 宋春桥 |
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| 作者单位： | 1.贵州大学矿业学院,贵阳 550025;2.中国科学院南京地理与湖泊研究所 中国科学院流域地理学重点实验室,南京 210008;3.南京信息工程大学遥感与测绘工程学院,南京 210044 |
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| 基金项目： | 中国科学院战略性先导科技专项子课题(XDA23100102);国家自然科学基金项目(41801321);国家重点研发计划重点专项课题(2018YFD1100101);国家自然科学基金项目(41701464) |
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| 摘 要： | 在全球变化背景下,湖泊水文的动态变化不仅是评估和预测气候与环境变化的重要指示剂,同时对社会可持续发展、水资源的开发与利用、生态文明建设等产生重要影响。湖泊水文的动态变化受到湖滨及湖底地形的控制,数字高程模型（DEM）成为湖泊水文研究的重要数据源。随着遥测技术的发展,高分辨率、区域/全球大尺度DEM数据的获取手段快速发展、数据源不断丰富,DEM对推动湖泊水文动态研究进展起到了关键作用。本文首先基于Web of Science平台对DEM在湖泊水文动态研究中的相关文献进行了分析,阐述了该主题现有研究在发文时间、发文数量增减态势、研究区域与热点地区、文献所涉及的DEM数据等方面的特点。接着,围绕着DEM在湖泊水文动态的研究中4个主要方向：湖泊水域变化、湖泊水位变化、湖泊水量变化、湖泊水文灾害情势,重点总结：DEM与其他遥感观测平台、实地观测及模型模拟等多源数据的融合策略,数字地形分析与水文学分析、遥感影像分析等方法的集成策略,以及DEM数据不确定性等对湖泊水文变化研究的影响。最后,本文论述了目前DEM在湖泊水文研究中存在的关键问题,并结合技术发展趋势和研究热点问题,提出了可能的解决路径和未来的研究前景。
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| 关 键 词： | DEM 湖泊水文 动态变化 气候变化 湖盆地形 湖泊水域 湖泊水位 湖泊水量 |
| 收稿时间： | 2019-09-23 |
Progress of the DEM Application for Studying Lake Hydrologic Dynamics |
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| LUO Zhu,LIU Kai,ZHANG Chunkang,DENG Xinyuan,MA Ronghua,SONG Chunqiao.Progress of the DEM Application for Studying Lake Hydrologic Dynamics[J].Geo-information Science,2020,22(7):1510-1521. |
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| Authors: | LUO Zhu LIU Kai ZHANG Chunkang DENG Xinyuan MA Ronghua SONG Chunqiao |
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| Institution: | 1. Mining College, Guizhou University, Guiyang 550025, China;2. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;3. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China |
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| Abstract: | The dynamics of lake hydrology is not only an important indicator for assessing and predicting climate change, but also poses important impacts on the sustainable development of regional society, the utilization of water resources, and the construction of ecological civilization. The changes of lakes are controlled by the topography of lakeside and underwater bathymetry. Hence, the topographic information is essential to quantify the lake variations. With the development of remote sensing technology, the methods for high-resolution data acquisition at large scale have been improved largely. Currently, DEM has been widely used in the studies of lake hydrology. This study collected the related literatures based on Web of Science platform, with a quantitative analysis in terms of published time, study area and adopted datasets. Then, the research literature can be categorized in four main fields including: Lake water extent change, lake water level change, lake water volume change and lake hydrological disaster. To take full advantages of DEM, three aspects of efforts should be further paid, specifically in (1) integrating DEM with multiple other sources including remote sensing images, satellite altimetry and hydrological observations, (2) developing state-of-artdata fusion strategy by integrating digital terrain analysis and hydrological analysis, and (3) improving the performances of DEM data in resolution and accuracy for lake hydrology study. Finally, this paper discusses the key problems of DEM in lake hydrology research, and puts forward possible solutions and research prospective based on the development trend of technology and hot issues. |
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| Keywords: | DEM lake hydrology dynamic change climate change lake bathymetry lake water areas lake water level lake water storage |
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