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Determining the Minimum Suitable Number of Water Quality Indicators to Improve the EWQI Water Quality Assessment Model in Baojixia Irrigation District, Northwest China

  • Dawei Mu,
  • Jianhua Wu,
  • Xiaomei Kou,
  • Yong Wang

摘要

Selecting a suitable number of parameters for water quality assessment can make the assessment cost-effective. The current investigation involved the collection of 64 groundwater samples from the Baojixia irrigation district located in China. These samples were then analyzed for 17 water quality parameters. Two minimum entropy water quality index (EWQImin) models were proposed by selecting the key parameters from the analyzed water quality parameters through principal component analysis (PCA) and multiple linear regression analysis (MLR), correspondingly. Then, the two proposed EWQImin models were utilized to evaluate the water quality within the study area. The findings revealed that the EWQImin−MLR model, which comprised 5 key parameters (total dissolved solids (TDS), sodium (Na+), nitrate (NO3), total hardness (TH), and fluorine (F), exhibited better performance in groundwater quality evaluation. This model demonstrated a higher coefficient of determination (R2 = 0.953, P < 0.001), coupled with lower values of Root Mean Square Error (RMSE, 4.948) and Percentage Error (PE, 5.823%) when compared to the EWQImin−PCA model consisting of 6 key parameters including TDS, Na+, TH, chloride (Cl), nitrite (NO2) and chemical oxygen demand (CODMn). Furthermore, the groundwater quality in the Baojixia irrigation district was considered a moderate quality category, with the eastern region displaying poorer water quality in comparison to the western area. The comparison of EWQImin and EWQI indicated that the developed EWQImin model was a suitable and effective method as its performance in evaluating groundwater quality within the Baojixia irrigation district is excellent. The results of this research have significant implications for the effective management of groundwater and the promotion of sustainable development of water resources in future investigations.