JOURNAL OF NATURAL RESOURCES ›› 2013, Vol. 28 ›› Issue (10): 1765-1777.doi: 10.11849/zrzyxb.2013.10.011

• Resources Research Methods • Previous Articles     Next Articles

The Applicability Assessment of Hydrological Models with Different Resolution and Database in the Huaihe River Basin, China

GAO Chao1,4, LIU Qing3,4, SU Bu-da2, ZHAI Jian-qing2, HU Chun-sheng4   

  1. 1. Climate Change and Water Resource Center of Jiang-Huai Basin, Anhui Normal University, Wuhu 241000, China;
    2. National Climate Center, China Meteorological Administration, Beijing 100081, China;
    3. Anhui Key Laboratory of Natural Disaster Process and Prevention, Wuhu 241003, China;
    4. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241000, China
  • Received:2012-10-11 Revised:2013-05-07 Online:2013-10-20 Published:2013-10-20

Abstract: In this paper,the applicability of three hydrological models, including artificial neural network (ANN) model, Hydrologiska Byråns Vattenbalansavdelning-D (HBV-D) model and Soil and Water Integrated Model (SWIM), are examined at different temporalspatial scales and databases in the Huaihe River basin which is above the Bengbu hydrological gauging station. It is found that ANN model only needs monthly data to build rainfall-runoff relationship and can obtain well simulation results, but HBV-D and SWIM models require data on daily scale such as daily precipitation, daily temperature and daily runoff. SWIM model even requires crop management data, nutrient data, soil erosion data etc. In addition, on spatial scale, the applicability of ANN model is adequate to large-scale basin, SWIM model may only be suitable for small-scale basin with an area of less than 10000 km2, and HBV-D model can apply to a basin of about 10000 km2. Furthermore, according to simulation results, ANN model can get better result for overall hydrological simulation, but it is not suitable for the hydrological and water resources research under climate change. Although their Nash-Sutcliffe coefficients are less than ANN model, the physically based distributed hydrological model, HBV-D model and the SWIM model are good tools to study impacts of climate change, which is significantly controlled by model structure.

Key words: hydrology and water resources, hydrological model, the Huaihe River Basin, hydrological scale

CLC Number: 

  • P333.9