农业水文模型在评估Côte科特迪瓦一个未测量的盆地水库的水可用性中的贡献:以bouak的Loka水库为例

K. Anoh, K. Konan, S. Eblin, Ange Victorine Atcho, K. Kouassi
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引用次数: 4

摘要

科特迪瓦第二大城市布瓦克在2018年经历了持续四个月的缺水,原因是供应该市三分之二用水的洛卡水库干涸。Loka水库面临的挑战是,它位于一个未测量的盆地,尽管经常出现获得饮用水的问题,但很少进行水文研究。为了更好地了解导致大坝暂时干涸的现象,所采用的方法是基于SWAT的农业水文建模,使用附近流域的分区技术。采用Nash-Sutcliffe系数(NS)、决定系数(R2)和偏倚百分比(PBIAS) 3个统计指标和逐月序列的水文目测值来评价模型的性能。校正和验证的NS和R2均≥0.6,校正和验证的PBIAS分别为-11.2和-3.8。洛卡盆地的水文模型显示了一些作者已经报道的气候变化和人类活动的影响。因此,虽然水库的水量估计每年减少384,604立方米,但需水量每年增加122,033立方米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of Agro-Hydrological Modeling in the Evaluation of Water Availability of an Ungauged Basin Reservoir in Côte d’Ivoire: Case of the Loka Reservoir in Bouaké
The city of Bouake, the second biggest city of Cote d’Ivoire, experienced a water shortage in 2018 that lasted four months due to the drying up of the Loka reservoir, which supplies two-thirds of the city. The challenge of the Loka reservoir is that it is located in an ungauged basin where very few hydrological studies have been carried out, despite the recurrent problems of access to drinking water. In the purpose to better understand the phenomena that caused this temporary drying of the dam, the methodology implemented was based on agro-hydrological modeling with SWAT using a regionalization technique of a nearby watershed. The model performance was assessed using three statistical indices (the Nash-Sutcliffe coefficient (NS), the coefficient of determination (R2) and the percentage of bias (PBIAS)) and the visual appreciation of hydrographs for monthly series. The statistical indices appear satisfactory with a NS and R2 ≥ 0.6 both for calibration and validation, and a PBIAS of -11.2 and -3.8 respectively for calibration and validation. The hydrological modeling of Loka basin has shown the impact of climate change already reported by some authors as well as anthropization. Thus, while the reservoir records a decrease in its water volume estimated at 384,604 m3 each year, the water demand undergoes an increase of 122,033 m3 per year.
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