Influence of soil depth and spatial resolution on the performance of the DHSVM hydrological model in basins with low input data availability

被引：9

作者：

Mendes, Helder de Amorim ^{[1
]}

Cecilio, Roberto Avelino ^{[2
]}

Zanetti, Sidney Sara ^{[2
]}

机构：

[1] Univ Fed Espirito Santo, Dept Ciencia Comp, Alto Univ S-N,CP 16, BR-29500000 Alegre, ES, Brazil

[2] Univ Fed Espirito Santo, Dept Ciencias Florestais & Madeira, Ave Gov Lindemberg 316, BR-29550000 Jeronimo Monteiro, ES, Brazil

来源：

JOURNAL OF SOUTH AMERICAN EARTH SCIENCES | 2021年 / 105卷

关键词：

Streamflow; Runoff; Baseflow; Atlantic rainforest basins; Hydrologic modelling; VEGETATION MODEL; RIVER-BASIN; SWAT MODEL; CALIBRATION; VALIDATION; STREAMFLOW; IMPACTS;

D O I：

10.1016/j.jsames.2020.102993

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The DHSVM model has been applied in several regions and with different objectives such as to simulate the hydrological behavior of watersheds, and to study the impact of climate change and land use on watershed hydrology. Modeling efficiency requires the use of consistent data on topography, soil types, vegetation types, and meteorological data. In this paper, we present studies on the influence of pixel size and the maximum soil depth on the efficiency of the DHSVM model. The study was elaborated considering the sub-basin of Rio Pardo, in the Brazilian Atlantic Forest, under a tropical climate. The results indicate that a reasonable adjustment to the soil depth and the spatial resolution (pixel size) can significantly improve the modeling efficiency. In particular, the results for the Rio Pardo sub-basin show that the maximum soil depth should be close to 30 m and the pixel size should be 100 m considering a daily time step.

引用

页数：9

共 48 条

[1] Global warming increases the frequency of river floods in Europe [J].