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Application of Developed Grid-GA Distributed Hydrologic Model in Semi-Humid and Semi-Arid Basin

ISSN号：1006-4982
期刊名称：《天津大学学报：英文版》
时间：0
分类：P334.92[天文地球—水文科学;水利工程—水文学及水资源;天文地球—地球物理学] TP311.52[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
作者机构：[1]College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China, [2]National Meteorological Center, China Meteorological Administration, Beijing 100081, China
相关基金：Supported by National Natural Science Foundation of China （No.50479017） and Program for Changjiang Scholars and Innovative Research Team in University （PCSIRT）（No. IRT0717）.

关键词：流域水文模型, 分布式应用, 半干旱地区, 交流电网, 半湿润, 遗传算法, 网格单元, 洪水模拟, distributed hydrologic model, digital elevation model （DEM） Green-Ampt, redistribution, excess infil- tration mechanism, semi-humid and semi-arid basin

中文摘要：

基于的一个格子和 Green-Ampt (Grid-GA ) 散布了 hydrologic 物理模型为洪水模拟被开发并且在半潮湿、半干旱的盆预报。基于从数字举起模型( DEM )和 Green-Ampt 渗入方法提取的每个格子房间的地形学的信息， Grid-GA 模型考虑水内容的再分配，并且由植被和根拦截组成，土壤水分蒸发蒸腾损失总量，经由过量渗入机制的流量产生，流量集中，并且流动路由。土壤潮湿的下坡的再分配明确地在一个格子基础上被计算，并且沿着网络被考虑的河排水在流量路由以内在格子之中浇交换。建议模型和 Xinanjiang 模型在 Luohe 河里被用于上面的 Lushi 盆，黄河的一条支流，与为洪水模拟的 4 716 km2 的一个区域。结果证明两个模型在洪水模拟表演很好并且能被用于洪水在半潮湿、半干旱的区域预报。

英文摘要：

A grid and Green-Ampt based （Grid-GA）distributed hydrologic physical model was developed for flood simulation and forecasting in semi-humid and semi-arid basin. Based on topographical information of each grid cell extracted fi＇om the digital elevation model （DEM） and Green-Ampt infiltration method, the Grid-GA model takes into consideration the redistribution of water content, and consists of vegetation and root interception, evapotranspiration, runoff generation via the excess infiltration mechanism, runoff concentration, and flow routing. The downslope redis- tribution of soil moisture is explicitly calculated on a grid basis, and water exchange among grids within runoff routing along the river drainage networks is taken into consideration. The proposed model and Xin＇anjiang model were ap- plied to the upper Lushi basin in the Luohe River, a tributary of the Yellow River, with an area of 4 716 km2 for flood simulation. Results show that both models perform well in flood simulation and can be used for flood forecasting in semi-humid and semi-arid region.

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