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结合统计分析和基于地理信息系统的方法对喀麦隆雅温得饮用水井的卫生边界进行建模。

Combining statistical analyses and GIS-based approach for modeling the sanitary boundary of drinking water wells in Yaoundé, Cameroon.

作者信息

Teikeu A William, Edna Buhnyuy Visiy, Njeudjang Kasi, Assembe Stephane Patrick, Aretouyap Zakari, Njandjock Nouck Philippe

机构信息

Department of Environmental Engineering, National Advanced School of Public Works, P.O. Box 510, Yaounde, Cameroon.

Department of Quality Industrial Safety and Environment, Faculty of Mines and Petroleum Industries, University of Maroua, 46, Maroua, Cameroon.

出版信息

Heliyon. 2024 Aug 23;10(17):e36765. doi: 10.1016/j.heliyon.2024.e36765. eCollection 2024 Sep 15.

Abstract

In slums and urban areas with unplanned housing such as in the city of Yaounde, Cameroon, poor water quality and inadequate sanitation pose significant health risks. The absence of locally-defined sanitary boundaries, tailored to hydrogeological conditions, hinders effective zoning and land use planning, exacerbating environmental degradation and health hazards. In this study, the sanitary boundary between drinking water wells and sources of pollution in the city of Yaoundé was defined using statistical analysis techniques and Geographic Information Systems (GIS). The Groundwater Quality Index (GWQI) and certain significant parameters affecting water quality notably the transmissivity of the aquifer and well depth were used to establish the sanitary boundary equation which was then interpolated in a GIS environment to obtain the sanitary boundary map of the study area. The linear equation deduced from the significant factors was defined to map the health boundaries between wells and pollution sources for a nominal value of the GWQI (GWQI = 25). Of the 112 wells analysed, 37 % had an excellent GWQI, 16 % were good while the remaining 47 % were poor. Statistical analysis showed a strong correlation between the GWQI and significant factors of groundwater pollution, such as the distance between well and pit latrines (r = -0.753), the aquifer transmissivity of the formation (r = 0.671) and the depth of the wells (r = - 0.855) but no correlation with elevation (r = 0.017) and well age (r = 0.090). Linear regression analysis confirmed the association of the GWQI with the main factors of pollution (p ≤ 0.05). A coefficient of determination of R = 0.85 was obtained when validating the linear regression plot based on independent data between measured and predicted GWQI. The sanitary boundary map shows that the wells in our study area should be located between 39 m and 370 m, with an average value of 215 m. New regulations on the distance between well and pit latrines are essential to prevent groundwater pollution.

摘要

在喀麦隆雅温得市等存在规划外住房的贫民窟和城市地区,水质差和卫生条件不足构成了重大的健康风险。缺乏根据水文地质条件确定的当地卫生边界,阻碍了有效的分区和土地利用规划,加剧了环境退化和健康危害。在本研究中,利用统计分析技术和地理信息系统(GIS)确定了雅温得市饮用水井与污染源之间的卫生边界。地下水质量指数(GWQI)以及影响水质的某些重要参数,特别是含水层的 transmissivity 和井深,被用于建立卫生边界方程,然后在GIS环境中进行插值以获得研究区域的卫生边界图。从重要因素推导得出的线性方程被定义为绘制GWQI标称值(GWQI = 25)时水井与污染源之间的健康边界。在分析的112口水井中,37%的GWQI极佳,16%良好,其余47%较差。统计分析表明,GWQI与地下水污染的重要因素之间存在很强的相关性,例如水井与坑式厕所之间的距离(r = -0.753)、地层的含水层 transmissivity(r = 0.671)和水井深度(r = -0.855),但与海拔(r = 0.017)和水井使用年限(r = 0.090)无关。线性回归分析证实了GWQI与主要污染因素之间的关联(p≤0.05)。基于测量和预测的GWQI之间的独立数据验证线性回归图时,得到的决定系数R = 0.85。卫生边界图显示,我们研究区域内的水井应位于39米至370米之间,平均值为215米。关于水井与坑式厕所之间距离的新规定对于防止地下水污染至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab68/11402761/385ac904cab4/ga1.jpg

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