Details

Autor(en) / Beteiligte

• Wang, Peng
• Xu, Jing Wen
• Zhao, Jun Fang
• Liu, Shuang

Titel

Soil Moisture Prediction for Huaihe River Basin Using Hydrological Model XXT and TOPMODEL

Ist Teil von

• Applied Mechanics and Materials, 2013-10, Vol.433-435 (Advances in Mechatronics and Control Engineering II), p.1817-1820

Ort / Verlag

Zurich: Trans Tech Publications Ltd

Erscheinungsjahr

2013

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Soil moisture plays an important role in agricultural drought predicting. Hydrological models can be employed to forecast soil moisture. In order to get better predicted soil moisture information, we use two basin hydrological models, i.e. XXT and TOPMODEL, to forecast the soil moisture for Huaihe River watershed. The performance of both the two models was tested in the Linyi watershed with a drainage area of 10040 km2, a tributary of the Huaihe river, China. The results show that the soil moisture simulated by the XXT is more agree with the observed ones than that simulated by TOPMODE compared to the filed observed soil moisture at 10 cm or the mean ones of 10 cm, 20 com, and 40 cm from surface, and that the predicted soil moisture by both the models has the similar trend and temporal change pattern with the observed one. However, both the models need to be improved in soil moisture forecasting in the future work.