[HTML][HTML] Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches
SAA El-Magd, IS Ismael, MAS El-Sabri… - … Science and Pollution …, 2023 - ncbi.nlm.nih.gov
The demands upon the arid area for water supply pose threats to both the quantity and
quality of social and economic activities. Thus, a widely used machine learning model,
namely the support vector machines (SVM) integrated with water quality indices (WQI), was
used to assess the groundwater quality. The predictive ability of the SVM model was
assessed using a field dataset for groundwater from Abu-Sweir and Abu-Hammad, Ismalia,
Egypt. Multiple water quality parameters were chosen as independent variables to build the …
quality of social and economic activities. Thus, a widely used machine learning model,
namely the support vector machines (SVM) integrated with water quality indices (WQI), was
used to assess the groundwater quality. The predictive ability of the SVM model was
assessed using a field dataset for groundwater from Abu-Sweir and Abu-Hammad, Ismalia,
Egypt. Multiple water quality parameters were chosen as independent variables to build the …
Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches
SA Abu El-Magd, IS Ismael, MAS El-Sabri… - … Science and Pollution …, 2023 - Springer
The demands upon the arid area for water supply pose threats to both the quantity and
quality of social and economic activities. Thus, a widely used machine learning model,
namely the support vector machines (SVM) integrated with water quality indices (WQI), was
used to assess the groundwater quality. The predictive ability of the SVM model was
assessed using a field dataset for groundwater from Abu-Sweir and Abu-Hammad, Ismalia,
Egypt. Multiple water quality parameters were chosen as independent variables to build the …
quality of social and economic activities. Thus, a widely used machine learning model,
namely the support vector machines (SVM) integrated with water quality indices (WQI), was
used to assess the groundwater quality. The predictive ability of the SVM model was
assessed using a field dataset for groundwater from Abu-Sweir and Abu-Hammad, Ismalia,
Egypt. Multiple water quality parameters were chosen as independent variables to build the …
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