Water Pollution Load Forecasting Model in Rural Tourism Area Based on Wavelet Decomposition

Abstract

Li, J. and Cao, B., 2020. Water pollution load forecasting model in rural tourism area based on wavelet decomposition. 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. 62–66. Coconut Creek (Florida), ISSN 0749-0208.How to embody the difference of the short-term prediction principles of different pollutant discharge units has been the research focus of short-term prediction of pollution load. Therefore, a short-term prediction model of water pollution load based on wavelet decomposition is proposed. In this paper, a short-term forecasting model of water pollution load between administrative unit and rural tourism area is established, which adopts entropy weighting Gini coefficient method to embody the principle of equity short-term forecasting at the administrative unit level and the pollution performance method to embody the principle of efficiency short-term forecasting at the enterprise level. This short-term load forecasting method not only embodies the characteristics of fair and efficient utilization of environmental resources, but also takes into account the coordination of administrative unit in environmental protection and socioeconomic development. Based on the statistical yearbook of a province and the pollution survey data of a city, the model is applied to short-term load forecasting for the situation of large population, concentration of industrial pollution sources, serious shortage of water resources and serious excess of water pollution in this area. The method can be used as a reference for short-term prediction of water pollution load in different pollutant discharge units.