Review of Land-Use Impacts on Surface Water Quality in Egypt

El-Zeiny, Ahmed M.

doi:10.1007/s12524-022-01505-y

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Surface waters also indirectly influence agriculture, industry, transportation, and water supply (Wolfram et al, 2021;Remund et al, 2021). Watercourse quality is affected by several elements, including geology (basin lithology), erosion, climatic conditions, and human causes (RamyaPriya and Elango, 2022;El-Zeiny, 2022). Human activities (urbanization, agricultural growth, land drainage, and pollution discharge) have become essential determinants of surface water quality (El-Zeiny, 2022;Akhtar et al, 2021;Hamid et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Watercourse quality is affected by several elements, including geology (basin lithology), erosion, climatic conditions, and human causes (RamyaPriya and Elango, 2022;El-Zeiny, 2022). Human activities (urbanization, agricultural growth, land drainage, and pollution discharge) have become essential determinants of surface water quality (El-Zeiny, 2022;Akhtar et al, 2021;Hamid et al, 2020). Physical, chemical, and biological factors describe surface water quality (Walker et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Surface Water Quality through CCME-WQI and Multivariate Statistical Techniques

Akıner

Chauhan

Singh

2022

Preprint

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The Betwa River Basin, a subbasin of the Yamuna, is the oldest flowing water system in Central India. Factor analysis and principal component analysis (FA/PCA) were multivariate statistical techniques used to extract three and four varimax factors that explained 96.408 and 100.000 percent of the total variance in water quality, respectively. Cluster analysis (CA) categorizes observed items into distinct quality categories based on correlations between stations and years. Point industrial/sewage effluents, non-point runoff from arable land and erosion, and natural source pollution are all factors that contribute to the pollution of the Betwa River, a mineral component of the water. As a result, water quality is threatened or impaired, and conditions often depart from natural or desirable levels at Rajghat, Garrauli, Mohana, and Shahijina stations. According to the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI), the water quality ranking at the Rajghat and Mohana stations corresponds to fair ecological status. However, the Garrauli and Shahijina stations' surface water has marginal water quality status. From 1985 to 2018, the Shahijina had the most considerable load of nutrients and organic matter, as established by the CCME-WQI and by comparing the water quality data. A thorough examination revealed a fluctuating trend in the Betwa River pollution, particularly at all stations. Results indicate that between 1985 and 2018, the only defense mechanism of the river was the auto purification mechanism, which is strongly influenced by the drought, point resource of pollution, and extreme meteorological events that probably cause these fluctuations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Surface Water Quality through CCME-WQI and Multivariate Statistical Techniques

Akıner

Chauhan

Singh

2022

Preprint

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Long-term evaluation of land use/land cover and hydrological drought patterns alteration consequences on river water quality

Rahmani

Fattahi

2023

Environ Dev Sustain

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CA-Markov chain for simulation and prediction of LULC and assessing the status of water pollution in Manzala Lake after recent development

El-Alfy,

Elfanagily,

Zyadah

et al. 2023

J Coast Conserv

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The Egyptian government recently undertook a large-scale national dredging project to improve the properties and productivity of the northern lakes. Manzala Lake has a distinctive ecological system that offers locals a variety of ecological services. This study was occurred using an integrating approach of remote sensing and Markov modeling to determine the land use/cover (LULC) change of Manzala Lake’s components. The physiochemical characteristics of the water were also measured. Six LULC classes namely; water, crops, vegetation, urban areas, bare lands, and, sabkha were detected in and around the lake in three different years (1998, 2010, and 2022). The LULC transition was studied and predicted using the CA-Markov model. The area of surface water, flooded vegetation, sabkha, and urban areas were increased by the year of 2022. The bare lands were declined more comparing with the past periods. The new developments in Manzala Lake made more changes in the LULC of lake ecosystems. Also, it is an indication to exploitation the bare areas around lakes into new urban areas. The obtained results were necessary for the revised management plan. It is essential for managing the lakes’ land resources, and vital to carefully consider the development strategies to determine how these projects will influence on the environment and biodiversity. In addition, to what extent this lake productivity will improve and help in the recovery of Egypt’s national income.

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Review of Land-Use Impacts on Surface Water Quality in Egypt

Cited by 5 publications

References 30 publications

Evaluation of Surface Water Quality through CCME-WQI and Multivariate Statistical Techniques

Evaluation of Surface Water Quality through CCME-WQI and Multivariate Statistical Techniques

Long-term evaluation of land use/land cover and hydrological drought patterns alteration consequences on river water quality

CA-Markov chain for simulation and prediction of LULC and assessing the status of water pollution in Manzala Lake after recent development

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