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

基于遥感的径流估算理论与实验研究，美国和印度货币奖

• 批准号: 8905173
• 负责人: Homer Hiser
• 金额: $ 10.19万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-04-01 至 1993-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8905173&HistoricalAwards=false
• 关键词: Theoretical; Experimental; Studies; Run; Off

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

描述：该提案支持由佛罗里达科勒尔盖布尔斯迈阿密大学的H.W.Hiser博士和T.N.Veziroglu博士以及印度孟买印度理工学院的M.G.斯里尼瓦斯博士和G.T.Marathe博士共同开展的一个项目。他们计划利用遥感系统开发的数据对径流估计进行理论和实验研究。水量估算研究的可靠性取决于对降雨量的估算的准确性，以及在加入一条干流之前的水量损失。地面数字化雷达系统和地球同步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美国国家海洋和大气局获得的地球同步卫星数据开发一个分水岭模型，作为模型的降雨数据。佛罗里达州现有的降雨数据将用于遥感降雨量数据的地面真实情况。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。陆地卫星数据将从美国和印度的地球同步卫星上获得。范围：这项研究力求：通过利用遥感数据，考虑降水量、蒸散量和入渗量，以及作为时间函数的位置、土地覆盖、地貌和排水形式，建立一个估计径流水量的改进模型；根据在印度收集的观测数据验证模型计算；改进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试验和研究的基础上，开发可靠的流域径流模型，应该会产生一个适用性更广的模型，从而在世界各地实现更高效、更安全的径流管理。对雨水径流的正确估计对于人均用水量最高的美国和拥有世界上最大和高密度人口之一的印度来说非常重要。资金：这个项目得到了迈阿密大学8905173财年的两笔赠款的支持：90财年23,003美元外加8,235美元的印度货币91财年24,276美元外加9,118美元的印度货币92财年25,235美元外加10,000美元的印度货币INT8922266，孟买：90财年100,965美元(印度货币)