Department of Hydrology, University of Zululand, Kwa Dlangezwa, 3886, South Africa.
Department of Hydrology, University of Zululand, Kwa Dlangezwa, 3886, South Africa.
Chemosphere. 2022 Nov;307(Pt 4):136121. doi: 10.1016/j.chemosphere.2022.136121. Epub 2022 Aug 19.
Urbanization has accelerated changes in the quantity and stability of the water resources in the uMhlathuze watershed of KwaZulu-Natal. This study applied the use of GIS and remote sensing to demarcate groundwater potential recharge zones in the uMhlathuze catchment using AHP approach and Catastrophe theory by assigning weights to 10 parameters with their sub-criteria and the results were validated against groundwater quality data. It was discovered that 22.92% and 26.38% of the catchment is encompassed by 'Low' groundwater potential recharge zones, 0.37% and 0.08% by 'Very low' groundwater potential recharge zones, 9.42% and 10.26% by 'Good' groundwater potential recharge zones, 66.87% and 63.19% by 'Moderate', and 0.42% and 0.09% by 'Very good' for AHP and Catastrophe theory respectively. The resultant map demonstrated that recharge potential of groundwater is lowest in mountainous regions coupled with hard rock geology of low transmissivity, whereas the highest potential prevails in lower slopes and plains with more permeable soil. The findings of the validation revealed that the lowest and highest total dissolved solid, nitrate and groundwater level overlaps with the 'Good and Very good' and 'Low and Very low' groundwater potential recharge zones respectively. From the collective findings of this study, it is inferred that the convergence and use of GIS and remote sensing for delineating the groundwater potential recharge zones are effective. The study further recommends that this method can be applied in research/projects involving the implementation of artificial groundwater recharge structures for better groundwater planning and governance.
城市化加速了夸祖鲁-纳塔尔省乌姆赫兰兹流域水资源数量和稳定性的变化。本研究应用 GIS 和遥感技术,采用层次分析法(AHP)和突变理论,通过为 10 个参数及其子准则分配权重,划定了乌姆赫兰兹流域的地下水潜在补给区,并利用地下水水质数据对结果进行了验证。结果发现,集水区的 22.92%和 26.38%属于“低”地下水潜在补给区,0.37%和 0.08%属于“极低”地下水潜在补给区,9.42%和 10.26%属于“良好”地下水潜在补给区,66.87%和 63.19%属于“中等”,AHP 和突变理论分别有 0.42%和 0.09%属于“极好”。生成的地图表明,山区和硬岩地质的低透水性导致地下水补给潜力最低,而较低的坡度和平原具有更高的补给潜力,土壤渗透性更强。验证结果表明,总溶解固体、硝酸盐和地下水位最低和最高的区域分别与“良好”和“极好”以及“低”和“极低”地下水潜在补给区重叠。综合本研究的结果可以推断,GIS 和遥感在划定地下水潜在补给区方面的结合和应用是有效的。研究进一步建议,该方法可应用于涉及人工地下水补给结构实施的研究/项目,以更好地进行地下水规划和管理。