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浑太森林流域径流过程模拟

蔡研聪1,2,金昌杰1,王安志1**,关德新1,吴家兵1,袁凤辉1   

  1. (1中国科学院沈阳应用生态研究所森林与土壤生态国家重点实验室, 沈阳 110164; 2 中国科学院大学, 100049  北京)
  • 出版日期:2013-10-18 发布日期:2013-10-18

Runoff process in forested basin of Hun River-Taizi River, Northeast China: A simulation study.

CAI Yan-cong1,2, JIN Chang-jie1, WANG An-zhi1, GUAN De-xin1, WU Jia-bing1, YUAN Feng-hui1   

  1. (1State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2Graduate University of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2013-10-18 Published:2013-10-18

摘要:

基于浑河与太子河上游1998—2007年北口前站和南甸峪站水文数据以及清原、新宾和本溪县气象站点同期气象数据,应用DHSVM分布式水文模型模拟浑太流域的水文过程,验证模型的科学适用性,并提供最敏感模型参数的参考值.结果表明:浑河源区月径流模拟的Nash-Suttclife系数(E值)在率定期(1998—2002年)和验证期(2003—2007年)分别达到0.9675和0.8957,较好重现了研究区的月径流过程.太子河上游流域的年、月径流模拟值的E值均大于0.6,说明模型在浑太流域有较好的适用性、率定的参数方案有良好的可靠性.本文为无站点观测资料的流域水文研究建立了一个坚实的框架,并构建了合理的参数方案.
 

Abstract:

Based on the hydrological data from the Beikouqian and Nandianyu stations in the upstream of Hun River and Taizi River as well as the meteorological data from the Qingyuan, Xinbin, and Benxi County stations, Northeast China in 1998-2007, a distributed hydrological model (DHSVM) was applied to simulate the hydrological process in Hun-Tai basin. The scientific applicability of the model was validated, and the reference values of the most sensitive model parameters were provided. The simulated monthly runoff NashSuttclife coefficient (E value) for the source region of Hun River in calibration period (1998-2002) and validation period (2003-2007) was 0.9675 and 0.8957, respectively, which could better reappear the monthly runoff process in this source region. The simulated monthly and annual runoff Evalues for the upstream of Taizi River were greater than 0.6, indicating that this model had good applicability in Hun-Tai basin, and the calibrated parameter scheme had a good reliability. This paper established a solid framework for the hydrological study over ungauged basin, and constructed a reasonable parameter scheme.