Water quality analysis using the CCME-WQI method with time series analysis in a water supply reservoir

Abstract

The quality of the drinking water source reservoirs has always been a research hotspot. However, few studies focused on the water quality of reservoirs over a relatively long period with time series analysis. In this paper, based on water quality and hydrological data from 2010 to 2020, considering 8 water quality parameters, CCME-WQI with time series analysis was used to explore the interannual and seasonal changes in water quality in the Weishui Reservoir. Furthermore, the main factors affecting water quality were discussed through correlation analysis. ARIMA model is used to predict water quality in the future. The results show that the water quality was seriously polluted from 2012 to 2013. After 2018, the water quality gradually improved and stabilized. In addition, the water quality is affected by inflow, showing the characteristics of poor water quality in summer and winter. The key parameters affecting water quality are TN and TP, which are almost 2 times higher than the grade II standard of water quality standard. Through the ARIMA model, it is predicted that CCME-WQI is maintained at 80.46 indicating that the water quality will be stable in the future.

Suitability assessment of a volcanic endorheic lake for aquaculture

“…CCME-WQI is the most sensitive water quality indexation method that responds to water quality dynamics with few or many test parameters, both with and without bacteriological parameters [9] The minimum number of parameters taken into account is four, and the number of monitoring carried out is a minimum of four times, but the decision regarding parameter choice rests with the user [10]. The use of CCME-WQI includes analyzing changes in water quality in the Weishui reservoir [11], and determining the physical carrying capacity for aquaculture in Lake Volta [12]. The CCME-WQI equations are:…”

Integration of GIS and Water-Quality Index for Preliminary Assessment of Groundwater Suitability for Human Consumption and Irrigation in Semi-Arid Region

“…Groundwater pollution poses a significant challenge to ensuring the quality and sustainability of water resources in semi-arid regions, where it is the primary source of water for both drinking and irrigation purposes [1][2][3][4]. The scarcity and pollution of surface water bodies make groundwater a vital component of securing water supply safety [5][6][7].…”

Principal Component Analysis and the Water Quality Index—A Powerful Tool for Surface Water Quality Assessment: A Case Study on Struma River Catchment, Bulgaria

“…Different modifications of WQI have been introduced by the researchers, and comparisons of the different modifications exist in the scientific literature [21,22]. The Canadian Council of Ministers of the Environment (CCME) WQI is currently one of the most widely used, not only in all the provinces of Canada but in many countries worldwide [23][24][25][26], as it is one of the main recommended indices for assessing the quality of drinking water by the United Nations Environment Programme Global Environment Monitoring System (GEMS)/Water Programme [27]. Although there are many WQIs available worldwide, none is universally accepted due to the difference in climate and land use.…”