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Proceedings Paper

Development of a distributed agricultural drought prediction model based on TOPMODEL and GIS
Author(s): Jingwen Xu; Wanchang Zhang; Changquan Wang; Xuemei Zhu; Jiongfeng Chen
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Paper Abstract

Drought disasters occur frequently in eastern China and are typical in China and even in the world. Severe droughts seriously affect the agricultural production, social and economic development, ecology and human life. In this paper, a new agricultural drought prediction model was developed based on GIS technology and TOPMODEL, which is a physically based watershed hydrological model that simulates the variable-source-area concept of stream-flow generation and has been widely used to study a variety of research areas. In this study, the original TOPMODEL was extended to be a distributed hydrological model. The watershed is divided into a number of regular grids, corresponding to the grids of DEM, and each grid is viewed as a sub-basin. So the surface runoff production was calculated at each grid. The runoff at each grid is routed along the stream flow direction to the main watershed outlet respectively at different velocity depending on the slop of this grid and watershed-average routing velocity. The soil moisture is predicted using the new distributed hydrological model. Finally, drought prediction is conducted by combining the predicted soil moisture and drought indices. The new model was tested in Linyi watershed, Shandong province, China. The results show that the model performs well in agricultural drought prediction.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910K (10 July 2009); doi: 10.1117/12.836758
Show Author Affiliations
Jingwen Xu, Sichuan Agricultural Univ. (China)
Institute of Atmospheric Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Wanchang Zhang, Institute of Atmospheric Physics (China)
Changquan Wang, Sichuan Agricultural Univ. (China)
Xuemei Zhu, Sichuan Agricultural Univ. (China)
Jiongfeng Chen, Institute of Atmospheric Physics (China)

Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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