1∶250 000 contour was used to generate 0. 0012°（ 4. 32 s） of grid DEM of the basin,to simulate flow line of slope surface and gradient line,automatically draw valley line,and count catchment area at slope surf...1∶250 000 contour was used to generate 0. 0012°（ 4. 32 s） of grid DEM of the basin,to simulate flow line of slope surface and gradient line,automatically draw valley line,and count catchment area at slope surface point. We organized data at the sections with 100 m of interval to simulate water system,establish coding system of river network,and build associated point with slope surface system. ＂ Hillside hydrology＂ theory simulated subsurface flow between surface water and groundwater,and used catchment water at slope surface point,gradient,valley line and depletion curve to study soil moisture distribution in the basin.展开更多
气候条件的变化对水资源影响十分显著,为探讨中朝俄界河图们江流域水资源与气候条件变化的关系,以布尔哈通河流域为研究区,用土地利用数据、数字高程模型数据、土壤类型数据、水文数据和气象数据构建了适用流域的SWAT(Soil and water as...气候条件的变化对水资源影响十分显著,为探讨中朝俄界河图们江流域水资源与气候条件变化的关系,以布尔哈通河流域为研究区,用土地利用数据、数字高程模型数据、土壤类型数据、水文数据和气象数据构建了适用流域的SWAT(Soil and water assessment tool)模型。模型以1995~2015年为基准期,对布尔哈通河流域基准期内逐月平均径流进行模拟,假设全球变化背景下25种气候变化情景,模拟出各气候变化情景下月平均径流的变化,进而得出布尔哈通河流域水资源与气候变化的响应关系。结果表明,SWAT模型的模拟精度高于评价标准,适用于布尔哈通河流域径流模拟;模拟分析得出,气温与年径流变化负相关,降水与年径流变化正相关,降水是影响布尔哈通河流域径流变化的主要因素。建议相关部门重点对6~8月降温较大的强降雨天气进行动态监测,流域内可能出现春旱和秋旱,对3~5月和9月天气的监测也需加强。展开更多
文摘1∶250 000 contour was used to generate 0. 0012°（ 4. 32 s） of grid DEM of the basin,to simulate flow line of slope surface and gradient line,automatically draw valley line,and count catchment area at slope surface point. We organized data at the sections with 100 m of interval to simulate water system,establish coding system of river network,and build associated point with slope surface system. ＂ Hillside hydrology＂ theory simulated subsurface flow between surface water and groundwater,and used catchment water at slope surface point,gradient,valley line and depletion curve to study soil moisture distribution in the basin.
文摘气候条件的变化对水资源影响十分显著,为探讨中朝俄界河图们江流域水资源与气候条件变化的关系,以布尔哈通河流域为研究区,用土地利用数据、数字高程模型数据、土壤类型数据、水文数据和气象数据构建了适用流域的SWAT(Soil and water assessment tool)模型。模型以1995~2015年为基准期,对布尔哈通河流域基准期内逐月平均径流进行模拟,假设全球变化背景下25种气候变化情景,模拟出各气候变化情景下月平均径流的变化,进而得出布尔哈通河流域水资源与气候变化的响应关系。结果表明,SWAT模型的模拟精度高于评价标准,适用于布尔哈通河流域径流模拟;模拟分析得出,气温与年径流变化负相关,降水与年径流变化正相关,降水是影响布尔哈通河流域径流变化的主要因素。建议相关部门重点对6~8月降温较大的强降雨天气进行动态监测,流域内可能出现春旱和秋旱,对3~5月和9月天气的监测也需加强。
