Misrepresentation and amendment of soil moisture in conceptual hydrological modelling

JOURNAL OF HYDROLOGY

卷:535

Article

Zhuo, Lu¹  Han, Dawei¹ 

[1] Univ Bristol, Dept Civil Engn, WEMRC, 93-95 Woodland Rd, Bristol BS8 1US, Avon, England

关键词: Satellite soil moisture observations;    Holding excess runoff;    Soil moisture deficit (SMD);    Soil Moisture Deficit to Saturation (SMDS);    Xinanjiang (XAJ);    Soil Moisture and Ocean Salinity (SMOS);   

DOI  :  10.1016/j.jhydrol.2016.02.033

来源: Elsevier

【 摘 要 】

Although many conceptual models are very effective in simulating river runoff, their soil moisture schemes are generally not realistic in comparison with the reality (i.e., getting the right answers for the wrong reasons). This study reveals two significant misrepresentations in those models through a case study using the Xinanjiang model which is representative of many well-known conceptual hydrological models. The first is the setting of the upper limit of its soil moisture at the field capacity, due to the 'holding excess runoff concept (i.e., runoff begins on repletion of its storage to the field capacity). The second is neglect of capillary rise of water movement. A new scheme is therefore proposed to overcome those two issues. The amended model is as effective as its original form in flow modelling, but represents more logically realistic soil water processes. The purpose of the study is to enable the hydrological model to get the right answers for the right reasons. Therefore, the new model structure has a better capability in potentially assimilating soil moisture observations to enhance its real-time flood forecasting accuracy. The new scheme is evaluated in the Pontiac catchment of the USA through a comparison with satellite observed soil moisture. The correlation between the XAJ and the observed soil moisture is enhanced significantly from 0.64 to 0.70. In addition, a new soil moisture term called SMDS (Soil Moisture Deficit to Saturation) is proposed to complement the conventional SMD (Soil Moisture Deficit). (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

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