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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:党委常委、副校长
其他任职:副校长、党委常委
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:建设工程学院
学科:水文学及水资源. 人工智能. 计算机应用技术. 软件工程
办公地点:综合实验4号楼 411室
联系方式:0411-84708900
电子邮箱:czhang@dlut.edu.cn
Research and application of flood detention modeling for ponds and small reservoirs based on remote sensing data
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论文类型:期刊论文
发表时间:2011-08-01
发表刊物:SCIENCE CHINA-TECHNOLOGICAL SCIENCES
收录刊物:SCIE、EI
卷号:54
期号:8
页面范围:2138-2144
ISSN号:1674-7321
关键字:remote sensing data; small reservoir; flood detention modeling
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 -0.2x10(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%.