Soil loss vulnerability: the case study of Aghien lagoon watershed outskirts Abidjan city (Côte d'Ivoire)

A. Dao, Ehouman Serge Koffi, D. Noufé, B. Kamagaté, Lanciné Droh Goné, L. Séguis, J. Perrin
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Abstract

Abstract. Aghien lagoon is a source of fresh water outskirts of Abidjan city in the south of Côte d'Ivoire. For a better understanding of its functioning, we proposed to estimate its main tributaries (Bété and Djibi) soil loss during 2016 and 2017 as part of our research activities in the lagoon watershed in order to evaluate its vulnerability face to soil loss. The methodological approach is based on USLE (Universal Soil Loss Equation) incorporated into GIS (Geographic Information Systems). This equation takes into account five key factors: the erosivity of rainfall, the soil erodibility, the topographic factor integrating slope length and steepness, the cover-management factor and the support practice factor. The combination of these factors made it possible to obtain soil loss maps of the lagoon main tributaries. The analysis of them revealed that soil loss varying mostly between 0 and 250 t ha−1 yr−1 in 2016 and 2017. With regard to the two years, the vulnerability of the lagoon face to soil loss is “low” category. In fact, the soil loss class ranging from 0 to 20 t ha−1 yr−1 occupies more than 60 % of the two sub-basins area in 2016. This trend increased in 2017 with equivalent of 71 % of the area. On the over hand, the “very high” vulnerability ranging from 250 to 1050 t ha−1 yr−1, occupied in 2016, only 0.01 % of the area. In 2017, this category of vulnerability increased in intensity, occupying 0.05 % of it. Ultimately, the increasing observed in 2016 and 2017 seems to be related to annual rainfall of respectively 1553 and 2198 mm. The case study of Aghien lagoon, soil loss vulnerability can be improved by taking account a long time series of rainfall and land use data.
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土壤流失脆弱性:以阿比让市郊Aghien泻湖流域为例(Côte科特迪瓦)
摘要Aghien泻湖是Côte科特迪瓦南部阿比让市郊区的淡水来源。为了更好地了解其功能,作为我们在泻湖流域的研究活动的一部分,我们建议在2016年和2017年期间估计其主要支流(bsamuest和Djibi)的土壤流失量,以评估其面对土壤流失的脆弱性。方法方法是基于USLE(通用土壤流失方程)纳入GIS(地理信息系统)。该方程考虑了五个关键因素:降雨的侵蚀力、土壤的可蚀性、坡度和坡度相结合的地形因子、覆盖管理因子和支护实践因子。这些因素的结合使得获得泻湖主要支流的土壤流失图成为可能。对它们的分析显示,2016年和2017年的土壤流失量主要在0 - 250 t / h - 1 - 1之间变化。就这两年而言,泻湖面对土壤流失的脆弱性属于“低”类别。事实上,2016年,0 ~ 20 tha - 1 yr - 1的土壤流失量占两个子流域面积的60%以上。这一趋势在2017年有所增加,相当于该地区的71%。另一方面,“非常高”脆弱性在250 - 1050吨/年/年之间,2016年仅占0.01%。2017年,这类漏洞强度有所增加,占比为0.05%。最终,2016年和2017年观测到的增加似乎与年降雨量分别为1553和2198 mm有关。以Aghien泻湖为例,考虑到长时间的降雨和土地利用数据,可以改善土壤流失脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proceedings of the International Association of Hydrological Sciences
Proceedings of the International Association of Hydrological Sciences Earth and Planetary Sciences-Earth and Planetary Sciences (all)
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