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| 基于空间信息技术的堰塞湖库容分析方法研究 | |
| 引用本文： | 陈晓玲,陆建忠,蔡晓斌,李辉,殷守敬.基于空间信息技术的堰塞湖库容分析方法研究[J].遥感学报,2008,12(6). |
| 作者姓名： | 陈晓玲 陆建忠 蔡晓斌 李辉 殷守敬 |
| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079;鄱阳潮湿地与流域研究教育部重点实验室(江西师范大学),江西,南昌,330027 2. 武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079 3. 中国地质大学地球科学学院地理系,湖北,武汉,430074 |
| 基金项目： | 国家重点基础研究发展规划(973计划) ， 国家自然科学基金创新研究群体基金 ， 国家自然科学专项基金 ， 上海市重点学科开放课题 ， 测绘遥感信息工程国家重点实验室开放研究基金重点项目 |
| 摘 要： | 快速准确计算堰塞湖库容,对了解地震堰塞湖险情具有重要的意义.利用遥感和地理信息系统等空间信息技术,提出了一种基于像素的三维水面的计算动库容的方法,能准确计算水面为曲面,包括动库容在内的总库容.该方法利用遥感影像提取水体边界线,与DEM求交后可得到带高程的边界点,利用空间插值技术获得三维水面,然后利用库容计算模型求解.同时,在分析该算法计算效率的基础上,提出了基于河流分段的库容计算优化算法,最后通过实验对比分析了该方法的合理性和优越性. |
| 关 键 词： | 堰塞湖 动库容 河流分段 空间信息技术 |
Geomatics-based Method Research on Capacity Calculation of Quake Lake |
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| CHEN Xiao-ling,LU Jian-zhong,CAI Xiao-bin,LI Hui and YIN Shou-jing.Geomatics-based Method Research on Capacity Calculation of Quake Lake[J].Journal of Remote Sensing,2008,12(6). | |
| Authors: | CHEN Xiao-ling LU Jian-zhong CAI Xiao-bin LI Hui and YIN Shou-jing |
| Institution: | State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei Wuhan 430079,China;Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University),Ministry of Education,Jiangxi Nanchang 330027, China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei Wuhan 430079,China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei Wuhan 430079,China;Geography department, China University of Geoscience,Hubei Wuhan,430074,China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei Wuhan 430079,China |
| Abstract: | OnMay 12th, 2008, amagnitude ofRichter8.0 earthquake attackedWenchuan in SichuanProvince, China, which caused fatal death andmillions ofpeople homeless. The landslides caused by earthquake damed some riverways in themountainous areas, forming tensofquake lakes, amongwhich theTangjiashanQuakeLakewas the largestone and the mostdangerous to threaten the downriver residents. Therefore, it is urgent to find solutions to solve the problem of the quake lake forgovernment. Fastand precisely calculation ofquake lakewater capacity is a key issue for solving the threat of it. Traditional capacity calculationmethods, taking thewater surface as a planewith a givenwater leve,l just consider the static capacity inwhich thewater level is required to bemonitored for a long tmi e. Complex hydrodynamicmodel and complicatedmodel inputs, which highly demand the computing resource and are compute-intensive, must be taken into considerationwhen calculating dynamic capacity. It cannot satisfy a fastprocess dealingwith the emergence. In thispaper, a pixel-based curvedwater surfacemethod isproposed to calculate the total capacity including dynamic capacitywith a natural curved water surface, and the technologies ofGeographic Information System (GIS) and remote sensing are integrated in thismethod. The backwater area is extracted from a corrected geometrically SPOT-5 mi age, and then the riverwayDEM is intersected to obtain the boundary ofwaterbody consisting ofa setofpoints. A 3D curvedwater surface, which depicts the large ratio of slope forwater surface in mountainous areas, can be draw out by interpolating these concrete points. Finally, capacity calculation is carried outbased on a calculationmodelafter interpolating the point boundary to a curvedwater surface. Themodel takes the space between the pixels onwater surface and the riverwayDEM as an underside-squared prism. The volume composed of riverway DEM and water surface are divided intomany small prisms to calculate the capacity respectively. The totalwater capacity of the quake lake is obtained by summing up these volumes. Considering the calculation efficiency of thismethod, an mi proved, pixel-based river segmentation algorithm is pro- posed in this study. It is fully considered the rationality ofpixel-based curvedwater surfacemethod and the efficiency of the traditional static capacity calculationmethod. An expermi ent is carried out to mi plement these algorithms. At last, a comparison, among theArcGISmethod, the proposedmethods including the pixelbased curvedwater surfacemethod and the mi proved pixel-based river segmentationmethod, is conducted to prove that the mi proved method ismore acceptable for its calculation speed and accuracy. And itcan be used fordaily operation formonitoring the capacity ofa lake or reser- voir. |
| Keywords: | quake lake dynamic capacity river segmentation geomatics |
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