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尼尔基水库上游融雪径流模拟及预报
引用本文:马晓婷,梁忠民,李彬权,常文娟.尼尔基水库上游融雪径流模拟及预报[J].水电能源科学,2013,31(6):40-42,191.
作者姓名:马晓婷  梁忠民  李彬权  常文娟
作者单位:河海大学 水文水资源学院, 江苏 南京 210098;河海大学 水文水资源学院, 江苏 南京 210098;河海大学 水文水资源学院, 江苏 南京 210098;河海大学 水文水资源学院, 江苏 南京 210098
基金项目:江苏省普通高校研究生科研创新计划基金资助项目(CXZZ11_0434)
摘    要:准确可靠预报融雪径流对寒区洪旱灾害的监测及水资源管理具有重要意义。根据尼尔基水库上游季节性融雪产流特点,结合蓄满产流理论,考虑寒冷地区冻土的不〖JP2〗透水、蓄水调节、蒸发抑制等作用及冻土融冻期水文特性,构建了耦合度-日融雪模型、径流系数法及新安江模型的分散式融雪径流预报模型,采用1979~〖JP〗1988年的水文气象资料对模型进行了率定,并根据2000~2003年相应资料验证了模型合理性。通过对5个不同时间尺度径流量的模拟与验证结果表明,模型具有较好精度,在研究区具有较强适用性,可为尼尔基水库春、夏两季入库径流预报提供参考。

关 键 词:融雪径流预报模型    度日因子    径流系数法    新安江模型    尼尔基水库

Melting Snow Runoff Simulation and Forecasting in Upper Reaches of Nierji Reservoir Basin
MA Xiaoting,LIANG Zhongmin,LI binquan and CHANG Wenjuan.Melting Snow Runoff Simulation and Forecasting in Upper Reaches of Nierji Reservoir Basin[J].International Journal Hydroelectric Energy,2013,31(6):40-42,191.
Authors:MA Xiaoting  LIANG Zhongmin  LI binquan and CHANG Wenjuan
Affiliation:College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Abstract:In the cold region of Northeast China, accurate forecasting of melting snow runoff has practical value for the flood and drought disaster monitoring and the regional water resources management. In this paper, a semi distributed hydrologic model is developed for Nierji Reservoir basin, which is located at the upstream area of Nen River. The degree day melting snow method, runoff coefficient method for routing and Xinanjiang model are combined in this integrated model according to stored full runoff yield theory, as well as the frozen soil thawing period hydrological characteristics. Hydrometeorological data during 1979~1988 are used to calibrate the model and the corresponding data during 2000~2003 are selected to validate the rationality of the model. The simulation and validation result at 5 different time scale show that the model has good accuracy and stronger applicability, which provides references for the runoff forecasting of the reservoir in the spring and summer seasons.
Keywords:forecast model of melting snow runoff  degree day factor  runoff coefficient method  Xinanjiang model  Nierji Reservoir
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