Assessment and modeling of surface water quality for drinking and irrigation purposes using water quality indices and GIS techniques in the Inaouene watershed, Morocco

被引:0
作者
Marouane Laaraj
Lahcen Benaabidate
Valerie Mesnage
Ikram Lahmidi
机构
[1] University of Sidi Mohammed Ben Abdellah,Laboratory of Functional Ecology and Environment Engineering
[2] University of Rouen-Normandy,Laboratory of Continental and Coastal Morphodynamic (M2C)
[3] University of Sidi Mohammed Ben Abdellah,Laboratory of Intelligent System, Georesources and Renewable Energies
来源
Modeling Earth Systems and Environment | 2024年 / 10卷
关键词
Inaouene watershed; Idriss 1st dam; Hydrochemistry; WQI; IWQI; PCA;
D O I
暂无
中图分类号
学科分类号
摘要
Water scarcity and environmental degradation are among the primary challenges in arid and semi-arid regions, such as Morocco. This study aimed to assess the quality of surface waters in Inaouene, considering their potential use for human consumption and irrigation, by incorporating water quality indices into a Geographic Information System. To achieve this, water samples were collected during the wet seasons, followed by the examination of 26 physico-chemical and bacteriological parameters. The results revealed spatial variations in the parameters studied compared to the standards established by the World Health Organization. Water quality upstream of the watershed is influenced by urban and industrial discharges, while it improves downstream due to dilution by other tributaries. The chemical analysis uncovered various facies within the watershed. In the east, it exhibits a chlorinated-sodium nature, transitioning to chlorinated-sulfate and calcic-magnesian facies. In the west, it corresponds to bicarbonate calcic and magnesian facies. According to the analysis of the Water Quality Index, the waters have been divided into two categories, one corresponding to the sample Ech1, indicating poor water quality, while the remaining stations have good water quality. The Irrigation Water Quality Index was employed to evaluate the quality of water designated for irrigation through the analysis of various parameters. The results indicated that most of the samples displayed low restriction. However, sample Ech1 was classified as having severe restriction. Using a combination of different indices is proving effective in providing accurate information on the water quality of Oued Inaouene in northern Morocco.
引用
收藏
页码:2349 / 2374
页数:25
相关论文
共 287 条
[1]  
Abbasnia A(2018)Groundwater quality assessment for irrigation purposes based on irrigation water quality index and its zoning with GIS in the villages of Chabahar, Sistan and Baluchistan, Iran Data Br 19 623-631
[2]  
Radfard M(2022)Hydrochemical characteristics and identification of groundwater pollution sources in tropical savanna Environ Sci Pollut Res 29 37384-37398
[3]  
Mahvi AH(2012)Assessment of Water Quality Index of River Godavari at Rajahmundry J Environ Res Technol 2 161-167
[4]  
Nabizadeh R(2022)Assessing surface water quality for irrigation purposes in some dams of Asir Region, Saudi Arabia using multi-statistical modeling approaches Water 14 1439-21406
[5]  
Yousefi M(2020)Comprehensive integrated index-based geochemistry and hydrochemical analyses of groundwater resources for multiple consumptions under coastal conditions Environ Sci Pollut Res Int 27 21386-319
[6]  
Soleimani H(2022)A multivariate non-parametric approach for estimating probability of exceeding the local natural background level of arsenic in the aquifers of Calabria region (Southern Italy) Sci Total Environ 806 299-352
[7]  
Alimohammadi M(2000)Integrated geographical assessment of environmental condition in water catchments: linking landscape ecology, environmental modelling and GIS J Environ Manag 59 341-343
[8]  
Abdulsalam A(2021)Assessment of soil salinity indexes using electrical conductivity sensors Sci Hortic 285 339-134
[9]  
Ramli MF(2021)Assessment of groundwater quality for irrigation in the arid regions using irrigation water quality index (IWQI) and GIS Zoning maps: case study from Abu Dhabi Emirate, UAE Groundw Sustain Dev 14 3510-134
[10]  
Jamil NR(2021)Multicriteria-analysis of deep groundwater quality using WQI and fuzzy logic tool in GIS: a case study of Kebilli region, SW Tunisia J Afr Earth Sci 180 2815-451