Scholarlink

<p>This study evaluates the effectiveness of the DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, hydraulic Conductivity) model, integrated with Geographic Information Systems (GIS), in assessing groundwater vulnerability to nitrate (NO₃⁻) contamination in the urban arid region of El Oued, southeast Algeria. The primary research question investigates how urban sewerage networks influence groundwater quality in rapidly urbanizing arid areas. A novel aspect of this study is the application of the DRASTIC model for the first time in El Oued to quantify the impact of sewerage infrastructure introduced post-2011, validated through extensive field measurements of nitrate concentrations. Over 58 groundwater samples were analyzed across the study area, revealing a significant reduction in vulnerability from 100% high-risk in 2011 to 16% in 2022, with average nitrate concentrations decreasing from 40.87 ± 24.87 ppm (range: 1.50–97.19 ppm) to 10 ± 5.95 ppm (range: 0.26–24.20 ppm). Net recharge also declined from 720 mm in 2011 to less than 50 mm in 2022. These findings underscore the efficacy of GIS-based DRASTIC modeling in processing large spatial datasets. However, limitations include the reliance on standard DRASTIC weights without local calibration and potential confounding factors like climate variability. The results provide actionable insights for urban water management, supporting policymakers in mitigating nitrate contamination through improved sewerage infrastructure.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evaluating groundwater adaptation to sewage systems in urban arid areas: evidence from Oued Souf, Algeria

  • 期刊论文

  • 发表日期：

    2025年11月25日

查看全文
  • Khetta Salah Eddine,
  • Abdelmonem Miloudi,
  • Abderrahmane Khechekhouche,
  • Mehdi Jahangiri,
  • Zair Nadjet,
  • Nabil Mega,
  • Salim Khechana,
  • Boualem Remini

摘要

This study evaluates the effectiveness of the DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, hydraulic Conductivity) model, integrated with Geographic Information Systems (GIS), in assessing groundwater vulnerability to nitrate (NO₃⁻) contamination in the urban arid region of El Oued, southeast Algeria. The primary research question investigates how urban sewerage networks influence groundwater quality in rapidly urbanizing arid areas. A novel aspect of this study is the application of the DRASTIC model for the first time in El Oued to quantify the impact of sewerage infrastructure introduced post-2011, validated through extensive field measurements of nitrate concentrations. Over 58 groundwater samples were analyzed across the study area, revealing a significant reduction in vulnerability from 100% high-risk in 2011 to 16% in 2022, with average nitrate concentrations decreasing from 40.87 ± 24.87 ppm (range: 1.50–97.19 ppm) to 10 ± 5.95 ppm (range: 0.26–24.20 ppm). Net recharge also declined from 720 mm in 2011 to less than 50 mm in 2022. These findings underscore the efficacy of GIS-based DRASTIC modeling in processing large spatial datasets. However, limitations include the reliance on standard DRASTIC weights without local calibration and potential confounding factors like climate variability. The results provide actionable insights for urban water management, supporting policymakers in mitigating nitrate contamination through improved sewerage infrastructure.