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.

Highlights

  • Nowadays, the water quality of drinking water source areas affects public health and regional economic development directly

  • The pollutant concentration at the water intake exceeded the standard from 0.120 h to 9.872 h after the accident, which indicated that the water there was seriously polluted by the accident during the period and could serve as a source of drinking water

  • The results indicated that the early warning and forecasting system is feasible and scientific for the early warning and forecasting of water quality safety in the Three Gorges ReservoirArea (TGRA) area

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Summary

Introduction

The water quality of drinking water source areas affects public health and regional economic development directly. Area (TGRA) extends over 600 km, where 17 cities with more than 1700 industrial enterprises are located and thousands of commercial boats transport every year [5,6,7]. Such conditions place drinking water source areas in the TGRA at serious risk of being polluted. Warning and forecasting of water quality safety are very important for drinking water source areas, and the TGRA has become a hot spot in recent years [8,9,10]. Developing an early warning and forecasting system is significant to realize the visual early warnings and to forecaste water quality safety and provide decision support for the administrators of drinking water safety, water environment protection, and emergency response

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