Theoretical and Experimental Studies of Run-Off Estimation Based on Remote Sensing, Award in U.S. and Indian Currencies

本提案支持博士的合作项目。佛罗里达州科勒尔盖布尔斯迈阿密大学的H.W. Hiser和T.N. Veziroglu博士。M.G. Srinivas和G.T. Marathe来自印度孟买的印度理工学院。他们计划利用遥感系统开发的数据，对径流估算进行理论和实验研究。水量估算研究的可靠性取决于降水估算的准确性以及汇入干流之前的水量损失。基于地面的数字化雷达系统和地球静止卫星系统有能力提供更完整和准确的数据。将利用迈阿密大学的数字化雷达系统和从NOAA获得的地球同步卫星数据作为该模型的降雨数据，开发一个流域模型。佛罗里达州现有的降雨数据将用于遥感降雨数据的地面真实性。结果将在印度进行测试。数据将从印度马德拉斯的雷达系统获得。美国和印度的地球同步卫星将提供陆地卫星数据。范围：本研究旨在：利用遥感数据，考虑降水、蒸散发和入渗，以及位置、土地覆盖、土地形态和排水形态随时间的变化，开发一种估算径流水量的改进模型；根据在印度收集的观测数据验证模式计算；完善模型并将其应用于印度选定的地区。在两国在截然不同的条件下进行的试验和研究的基础上开发可靠的流域径流模型，应该产生一种适用性更广的模型，从而在全世界范围内实现更有效和更安全的径流管理。正确估计雨水径流对人均用水量最高的美国和人口密度居世界前列的印度都很重要。资金：该项目由两笔赠款INT 8905173资助给迈阿密大学：90财年23,003美元加8,235美元印度货币；91财年24,276美元加9,118美元印度货币；92财年25,235美元加10,000美元印度货币INT8922266提供给孟买印度理工学院。FY90印度货币100,965美元

Description: This proposal supports a collaborative project by Drs. H.W. Hiser and T.N. Veziroglu of the University of Miami, Coral Gables, Florida and Drs. M.G. Srinivas, and G.T. Marathe of the Indian Institute of Technology of Bombay, India. They plan to conduct a theroetical and experimental study of water run-off estimations using data developed from remote sensing systems. The reliablity of a water estimation study depends on the accuracy of estimates of rainfall and the loss of water before it joins a main stream. Surface-based digitized radar systems and geostationary satellite systems have the capability to provide more complete and accurate data. A watershed model will be developed using digitized radar systems at the University of Miami and geostationary satellite data obtained from NOAA as the rainfall data to the model. Raingage data available in Florida will be used for ground truth of the remote-sensed rainfall data. The results will be tested in India. Data will be obtained from the radar system at Madras, India. Landsat data will be available form both U.S. and Indian geostationary satellites. Scope: The study seeks to: develop an improved model for estimating the run-off water by taking into account precipitation, evapotranspiration and infiltration, as well as the location, land cover, land form and drainage form, as function of time, through utilizing remote sensing data; verify the model calculations against observational data gathered in India; refine the model and apply it to selected regions in India. The development of reliable watershed run-off model based on testing and research in the two countries under vastly different conditions should produce a model of wider applicability leading to more efficient and safer water run-off management around the world. Correct estimation of rain water run-off is of importance to the United States, which has the highest per capita water consumption, and India, which has one of the largest, and high density, populations in the world. Funding: This project is being supported under two grants INT 8905173 to University of Miami: FY90 US$23,003 plus $8,235 in Indian currency FY91 US$24,276 plus $9,118 in Indian currency FY92 US$25,235 plus $10,000 in Indian currency INT8922266 to Indian Institute of Technology, Bombay: FY90 $100,965 in Indian currency