Anti Tracking Technology of Urban Water Supply Pollution Source Based on Water Quality Monitoring

Abstract

Xue, T.L.; Wang, S.Z.; Han, F., and Sun, D.H., 2020. Anti tracking technology of urban water supply pollution source based on water quality monitoring. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 58–61. Coconut Creek (Florida), ISSN 0749-0208.In view of the poor accuracy and robustness of pollution source tracking in water supply network due to exogenous sudden pollution accidents, this paper proposes the research on anti tracking technology of urban water supply pollution sources based on water quality monitoring. The auxiliary graph theory model of the pipe network is constructed, the shortest flow path between any two nodes is calculated, the pollution matrix is constructed, the minimum coverage monitoring point set under multiple coverage is obtained, the minimum coverage node number is obtained by greedy algorithm, and the optimal layout model of online water quality monitoring points is established. By constructing a simulation-optimized pollution source anti-tracking model, using the PSO-ACO fusion algorithm to search for thresholds, solving the simulation-optimizing pollution source antitracking model, and realizing water supply pollution source antitracking. Experimental results show that the researched pollution source anti-tracking model has high robustness, and can track pollution sources quickly and accurately under adverse factors such as hydraulic errors and experimental errors.