Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/esp.3501 |
Selecting best mapping strategies for storm runoff modeling in a mountainous semi-arid area | |
Sanchez-Moreno, Juan Francisco1; Jetten, Victor1; Mannaerts, Chris M.2; Tavares, Jacques de Pina3 | |
通讯作者 | Sanchez-Moreno, Juan Francisco |
来源期刊 | EARTH SURFACE PROCESSES AND LANDFORMS
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ISSN | 0197-9337 |
EISSN | 1096-9837 |
出版年 | 2014 |
卷号 | 39期号:8页码:1030-1048 |
英文摘要 | Accurate runoff and soil erosion modeling is constrained by data availability, particularly for physically based models such as OpenLISEM that are data demanding, as the processes are calculated on a cell-by-cell basis. The first decision when using such models is to select mapping units that best reflect the spatial variability of the soil and hydraulic properties in the catchment. In environments with limited data, available maps are usually generic, with large units that may lump together the values of the soil properties, affecting the spatial patterns of the predictions and output values in the outlet. Conversely, the output results may be equally acceptable, following the principle of equifinality. To studyhow the mapping method selected affects the model outputs, four types of input maps with different degrees of complexity were created: average values allocated to general soil map units (ASG1), average values allocated to detailed map units (ASG2), values interpolated by ordinary kriging (OK) and interpolated by kriging with external drift (KED). The study area was Ribeira Seca, a 90 km2 catchment located in Santiago Island, Cape Verde (West Africa), a semi-arid country subject to scarce but extreme rainfall during the short tropical summer monsoon. To evaluate the influence of rainfall on runoff and erosion, two storm events with different intensity and duration were considered. OK and KED inputs produced similar results, with the latter being closer to the observed hydrographs. The highest soil losses were obtained with KED (43 ton ha-1 for the strongest event). To improve the results of soil loss predictions, higher accurate spatial information on the processes is needed; however, spatial information of input soil properties alone is not enough in complex landscapes. The results demonstrate the importance of selecting the appropriate mapping strategy to obtain reliable runoff and erosion estimates. Copyright (c) 2013 John Wiley & Sons, Ltd. |
英文关键词 | mapping strategy hydraulic conductivity spatial variability runoff modeling OpenLISEM Cape Verde |
类型 | Article |
语种 | 英语 |
国家 | Netherlands ; Cape Verde |
收录类别 | SCI-E |
WOS记录号 | WOS:000337606400003 |
WOS关键词 | SATURATED HYDRAULIC CONDUCTIVITY ; EROSION MODEL ; SOIL-EROSION ; SPATIAL VARIABILITY ; CATCHMENT SCALE ; CHAIN METHOD ; PREDICTION ; ROUGHNESS ; SIZE ; INFILTROMETER |
WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary |
WOS研究方向 | Physical Geography ; Geology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/181598 |
作者单位 | 1.Univ Twente, Dept Earth Syst Anal, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands; 2.Univ Twente, Dept ofWater Resources, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands; 3.Natl Inst Agrarian Res Cape Verde, Praia, Cape Verde |
推荐引用方式 GB/T 7714 | Sanchez-Moreno, Juan Francisco,Jetten, Victor,Mannaerts, Chris M.,et al. Selecting best mapping strategies for storm runoff modeling in a mountainous semi-arid area[J],2014,39(8):1030-1048. |
APA | Sanchez-Moreno, Juan Francisco,Jetten, Victor,Mannaerts, Chris M.,&Tavares, Jacques de Pina.(2014).Selecting best mapping strategies for storm runoff modeling in a mountainous semi-arid area.EARTH SURFACE PROCESSES AND LANDFORMS,39(8),1030-1048. |
MLA | Sanchez-Moreno, Juan Francisco,et al."Selecting best mapping strategies for storm runoff modeling in a mountainous semi-arid area".EARTH SURFACE PROCESSES AND LANDFORMS 39.8(2014):1030-1048. |
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