The Hailar River, a first-grade tributary of the Erguna River that borders China and Russia, is the main water source for the local industry and agriculture. However, because there are only 11 flow gauging stations an...The Hailar River, a first-grade tributary of the Erguna River that borders China and Russia, is the main water source for the local industry and agriculture. However, because there are only 11 flow gauging stations and those stations cannot monitor all runoff paths, it is hard to directly use the existing flow data to estimate the annual runoffs from all subbasins of interest although such estimation is needed for utilization and protection of the water resources in the Hailar River. Thus, this study implemented an indirect approach (i.e., regional regression model) by correlating annual runoff with annual rainfall and water surface evaporation as well as hydrologic characteristics of the 11 subbasins monitored by the gauging stations. The study used 51 years (from 1956 to 2006) data. The results indicated a significant correlation (R2 > 0.87) between annual runoff and the selected subbasin characteristics and showed the model to be robust because the predicted runoffs for the validation period are compatible with the corresponding observed values. In addition, this model was used to estimate the annual runoffs for the subbasins that are not monitored by the 11 flow gauging stations, which adds new information to existing literature.展开更多
At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating s...At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating sites and estimation of runoff depth can be a significant step for storing runoff for agricultural activities and groundwater recharge.The main purposes of this study are use of GIS(geographic information system)ability for identifying of potential runoff generating sites,and thus identifying high priority areas for groundwater recharge in the Gharehchay River watershed in the north of Hamedan province,Iran.Potential runoff generating sites were identified by using watershed features same as slope,land use and hydrological soil groups.Afterward,CN I(Curve Number I)technique,which is one of the eight derivations of the NRCS-CN(natural resources conservation services curve number)method,was utilized to calculate rainfall-runoff depth in the study region.Finally,map layers were ranked in order of highest priority to lowest priority,based on the criteria of each dataset,and high priority areas for groundwater recharge were identified by integrating potential runoff map,runoff depth and depth to groundwater maps.Spatial analysis revealed that 51%of the study region has a high priority for groundwater recharge.展开更多
文摘The Hailar River, a first-grade tributary of the Erguna River that borders China and Russia, is the main water source for the local industry and agriculture. However, because there are only 11 flow gauging stations and those stations cannot monitor all runoff paths, it is hard to directly use the existing flow data to estimate the annual runoffs from all subbasins of interest although such estimation is needed for utilization and protection of the water resources in the Hailar River. Thus, this study implemented an indirect approach (i.e., regional regression model) by correlating annual runoff with annual rainfall and water surface evaporation as well as hydrologic characteristics of the 11 subbasins monitored by the gauging stations. The study used 51 years (from 1956 to 2006) data. The results indicated a significant correlation (R2 > 0.87) between annual runoff and the selected subbasin characteristics and showed the model to be robust because the predicted runoffs for the validation period are compatible with the corresponding observed values. In addition, this model was used to estimate the annual runoffs for the subbasins that are not monitored by the 11 flow gauging stations, which adds new information to existing literature.
文摘At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating sites and estimation of runoff depth can be a significant step for storing runoff for agricultural activities and groundwater recharge.The main purposes of this study are use of GIS(geographic information system)ability for identifying of potential runoff generating sites,and thus identifying high priority areas for groundwater recharge in the Gharehchay River watershed in the north of Hamedan province,Iran.Potential runoff generating sites were identified by using watershed features same as slope,land use and hydrological soil groups.Afterward,CN I(Curve Number I)technique,which is one of the eight derivations of the NRCS-CN(natural resources conservation services curve number)method,was utilized to calculate rainfall-runoff depth in the study region.Finally,map layers were ranked in order of highest priority to lowest priority,based on the criteria of each dataset,and high priority areas for groundwater recharge were identified by integrating potential runoff map,runoff depth and depth to groundwater maps.Spatial analysis revealed that 51%of the study region has a high priority for groundwater recharge.
