Water Quality Index (WQI) model was utilised to evaluate the physicochemical parameters of groundwater quality at the effluent discharge and administration areas of a waste treatment facility (WTF) in Shama Municipality in Ghana. Borehole water samples were collected once a week for six months and...
Spatiotemporal variation evaluation of water quality in middle and lower Han River, China Article Open access 19 August 2022 Water quality assessment of east Tiaoxi River, China, based on a comprehensive water quality index model and Monte-Carlo simulation Article Open access 16 June 2022 Intr...
and random variables were set as Pifor each evaluation index to establish a Monte Carlo-CWQIwater quality evaluation model. The methods of establishing the comprehensive pollution index and Monte Carlo simulation are introduced in “The comprehensive pollution index method” and “Monte...
Predicting a water quality index (WQI) is important because it serves as an important metric for assessing the overall health and safety of water bodies. Our paper develops a new hybrid model for predicting the WQI. The study uses a combination of a convolutional neural network (CNN), clockwor...
Groundwater quality deterioration has attracted widespread concern in China. In this research, the water quality index (WQI) and a positive matrix factorization (PMF) model were used to assess groundwater quality and identify pollution sources in the Ye River area of northern China. Research found...
Water risk index in Cloud for Sustainability water data model (WaterRiskIndex) 發行項 2024/08/14 2 位參與者 意見反應 本文內容 Traits Attributes The overall water risk that measures all water-related risks, by aggregating all selected indicators from the Physical Quantity,...
water quality index, (iii) to establish an estimation model of the water quality index (WQI) based on the spectral index (RI, DI, NDI), to develop sensitive wave bands and a Support Vector Regression Model (SVR) for dry areas, and (iv) to estimate the accuracy of the model relative ...
the Huntai basin for an example,it analyzes the process of pollutants production,interception,being into river as well as degradation,which are the basis to ensure parameters of model.The results show that the proposed model can provide basis for water quality simulation at the large scale basin....
and intercept of the corresponding regression line), Nash Sutcliffe efficiency (NSE), index of agreement (d), root mean square error (RMSE; alongside the ratio of RMSE and standard deviation of measured data, RSR), percent bias (PBIAS), and several graphical PMs to evaluate model performance...
Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin. Jpn Environ Model Softw 22(4):464–475 Article Google Scholar Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa D, Anthemidis A, Sofo...