Research and application of flood detention modeling for ponds and small reservoirs based on remote sensing data  

作　　者：CAO MingLiang ZHOU HuiCheng ZHANG Chi ZHANG AiJing LI HuiYun YANG Yang 

机构地区：[1]School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China [2]Sichuan Provincial Investigation, Design & Research Institute of Water Conservancy & Hydropower, Chengdu 610072, China

出　　处：《Science China(Technological Sciences)》2011年第8期2138-2144,共7页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 50809010, 50909012, 51079014);the National Key Technology R&D Program during the 11th Five-Year Plan Period of China (Grant No. 2007BAB28B01)

摘　　要：This paper proposes a method of small reservoir flood detention modeling that utilizes data from the American land resources satellite Landsat TM/ETM+. Precipitation and potential evapotranspiration are taken as the control conditions in this method on the basis of basin terrain classification. The objective of this method is to solve the question of a small-scale water conservancy project’s influence on flood forecasting precision, which can be used in the basin with multitudinous small reservoirs in the upstream region and can help estimate non-runoff data for small reservoir runoff. Taking the 20060826 flood as an example, the flood detention quantity of 19 small reservoirs is modeled. The results show that the absolute error of the total flood detention quantity is 0.2×10 4 m 3 , and the relative error is 0.12%. The flood detention quantity of small reservoirs in the entire basin is then modeled using this method, and the primary flood forecasting model is adjusted. After adjustment, the precision is significantly improved, with the relative error decreasing from 31.8% to 10.1%.

关 键 词：remote sensing data small reservoir flood detention modeling 

分 类 号：P338.6[天文地球—水文科学] TV621[水利工程—水文学及水资源]