Vulnerability to the faecal contamination in the Thiaroye shallow aquifer, Dakar, Senegal

Author:

DIAW Mor Talla1,FAYE Seynabou C.1,GAYE Cheikh B.1,NIANG Seydou2,CAMPOS Luiza C.3

Affiliation:

1. Cheikh Anta DIOP University

2. Institut Fondamental d’Afrique Noire, Cheikh Anta DIOP University

3. University College London

Abstract

Abstract In rapidly urbanizing low-income cities where the use of on-site sanitation facilities (septic tanks or latrines) is high, shallow groundwater is often vulnerable to faecal contamination. Here, we develop a multi-criteria modelling of the vulnerability to chemical and bacteriological faecal contamination of an unconfined aquifer of Quaternary sands in the Thiaroye area of Dakar (Senegal) using a model coupling GIS with Analytic Hierarchy Process (AHP). The approach includes the following factors (criteria): density of sanitation facilities, depth of water table, hydraulic conductivity, wetlands, potential recharge areas, population density and wealth inequality. Results show 11% of the study area with very high vulnerability, 20% of the area with high vulnerability and 69% of the area with low vulnerability.The vulnerability of the shallow aquifer was validated with monitoring of faecal contamination indictors (nitrate, E. coli) in groundwater carried out over a three-year period (2017-2019) using a network of 48 wells including dug-wells, piezometers, hand tubewells and boreholes. This validation showed a significant association (R2=0.7) between faecal contamination and the degree of vulnerability. Analysis of the results reveals that failures of on-site sanitation facilities in the area plays an important role in determining the quality of shallow aquifers in urban areas. It is, therefore, necessary to focus more on on-site sanitation facilities that significantly attenuate faecal contamination of shallow aquifers.

Publisher

Research Square Platform LLC

Reference55 articles.

1. GIS and remote sensing coupled with analytical hierarchy process (AHP) for the selection of appropriate sites for landfills: a case study in the province of Ouarzazate, Morocco;Abdelouhed F;Journal of Engineering and Applied Science,2022

2. Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP);Achu AL;Groundwater for Sustainable Development,2020

3. ANSD, (2017) Projection de la population du Sénégal en 2021. Feuille Excel 843 lignes et 25 colonnes. Agence Nationale de Statistique et de la Démographie.

4. Ecological capability qssessment for multiple-use in forest areas using GIS-based multiple criteria decision-making approach;Babaie-Kafaky;American Journal of Environmental Sciences,2009

5. A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan;Babiker IS;Science of The Total Environment,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3