基于ArcView GIS平台,利用流域水资源规划管理软件工具MIKEBASIN,以西藏达孜县为试验区,采用50×50m格网DEM数据,开展拉萨河流域内的地表水的产汇计算,并进行流域水资源合理配置研究。本文建立了流域供需水的空间分析网络,对各汇流区进行流域模拟分析,研究结果以直观的专题图表显示,为本区的流域水资源管理提供了可视化的研究框架。
Based on ArcView GIS, and using MIKE BASIN toolsets for fiver basin modeling and water resources management, this study takes Dazi County in Tibet a case. Using datasets of 50m × 50m DEM, the paper calculates the ground rainfall-runoff in the study area ( also sub-watershed of Lhasa River), further offers technical support for basin water resources management and dispatching. In the paper, the authors design a spatial network model for water supply-demand analysis and carry out watershed analysis on sub-watersheds. The study results can be displayed through thematic maps, graphs and tables. Through the above work, this paper provides a study framework for fiver basin water resources management. The results show: 1 ) Based on modem hydrological data collecting and modeling technologies, integrated watershed management is an inevitable choice for soil and water conservation, comprehensive treatment planning in sustainable utilization of water resources, and so on. Especially in watersheds of Tibet, the supply-demand contradictions in water resources utilization for agriculture and animal husbandry changed seasonally and dramatically, hence, scientific management of water resources has become a crucial issue. 2) Digital river basin model is established on the basis of DEM, land-use classification data, ground meteorological and hydrological measurement data. 3 ) Integrating GIS with simulation capabilities in MIKE BASIN provides simple and powerful tools for hydrological modeling and management of water resources. Using meteorological data of three meteorological stations (Pangduo, Tangga and Lhasa), the study established a geographic distributive model based on DEM for annual precipitation of Dazi County, for extracting the river network and concentration model of Lhasa River. Furthermore, the methods of hydrological time series analysis and hydrological simulation using MIKE BASIN are also provided in this paper.