Early Warning and Forecasting System of Water Quality Safety for Drinking Water Source Areas in Three Gorges Reservoir Area, China

Abstract

Nowadays, the effects of water pollution accidents on water quality safety and regional residents' living have attracted worldwide attention. Therefore, the objective of this research is to propose an early warning and forecasting model and develop a visual system of water quality safety for drinking water source areas in the Three Gorges Reservoir Area under accident conditions. Based on an Instantaneous Point Source Two-dimensional Water Quality Model and the security requirements of water quality, an early warning and forecasting model was presented, and then the system was advanced by a MATLAB platform. In addition, a hypothetical case was also carried out for the Fenghuangshan drinking water source area. Within 0.040 h to 0.096 h after the accident, the water quality could meet the standard, and the warning level was primary and intermediate, sequentially. From 0.096 h to 11.960 h after the accident, the pollutant concentration exceeded the standard, under which conditions advanced warning started. Then the intermediate and primary warnings restarted in sequence until the pollutant concentration decreased to the background value. Therefore, the proposed model could accurately predict the spatial-temporal change trend of pollutant concentration, and the developed system could efficiently realize early warnings and the forecasting of water quality safety.

Metagenomics Study of Bacterial Communities from Yamuna River water of city of Taj, Agra

“…There are many metagenomic researches done on polluted water sample to identify the bacterial contamination (Ding et al 2017; Saleem et al 2018; Samson et al 2019; Behera et al 2020). This study of metagenomic sequencing of water sample from Yamuna River revealed different organisms for the evaluation of microbial diversity and abundance.…”

Integrated water risk early warning framework of the semi-arid transitional zone based on the water environmental carrying capacity (WECC)

“…The establishment of a global environmental monitoring system called ''early warning'' was introduced in the environmental field (Yuan, 1987). Nevertheless, most related studies were concentrated on the forecasting of floods (Plate, 2008), early warning of water shortage and water resource carrying status (Yu et al, 2020;Shi and Zhang, 2021), and prediction of water quality and pollutant (Ding et al, 2017;Jin et al, 2019;Imani et al, 2021), whereas very few paid attention to the comprehensive early warning of the water environmental system risk. Although the WECC does not have a uniform definition, it is a broad concept related to the environmental properties of water, and it focuses on the mechanisms of interaction in human (socioeconomic)-water environmental systems (Zhou et al, 2019).…”

Early Warning Method for Regional Water Resources Carrying Capacity Based on the Logical Curve and Aggregate Warning Index

“…Therefore, monitoring and detecting warning signs of changes in drinking water quality variables play an essential role in ensuring high-quality drinking water and avoiding health-related problems [18]. Many methods, such as data mining [19], instantaneous point source two-dimensional water quality modeling [20], the driving force-pressure-state-influence-response (DPSIR) model [21], the entropy-weight method [22], and the system dynamics (SD) model [23], have been used to predict temporal and spatial variability and trends and to model average pollutant concentration levels and peak values in primary urban drinking water sources.…”