文献类型：期刊文献

英文题名：Source Apportionment Based on Eem-Parafac Combined with Microbial Tracing Model and its Implication in Complex Pollution Area, Wujin District, China

作者：Wang, Zhiping[1]; Peng, Yuanjun[1]; Liu, Lili[2]; Wang, Xu[2]; Teng, Guoliang[1]; Fu, Anqing[1]

机构：[1] School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; [2] State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai, 200237, China

年份：2023

外文期刊名：SSRN

收录：EI(收录号：20230378740)

语种：英文

外文关键词：Agriculture - Fluorescence - Maximum principle - Pollution control - Quality control

摘要：Further improving the quality of surface water is becoming more difficult after the control of main point-sources, especially in the complex pollution area with mixed industrial and agricultural productions, whereas the pollution source apportionment might be the key to quantify different pollution sources and developing some effective measures. In this study, a technical framework for source apportionment based on three-dimensional fluorescence and microbial traceability model is developed. Based on screening of the main environmental factors and their spatiotemporal characteristics, potential pollution sources have been tentatively identified. Then, the pollution sources are further tested based on the analysis of fluorescence excitation-emission matrix (EEM) and the similarity of fluorescence components in surface water and potential pollution sources. At the same time, the correlation between microbial species and pollution sources is constructed by analyzing the spatiotemporal characteristics of microbial composition and the response of main species to environmental factors. Therefore, pollution source apportionment is quantified using PCA-APCS-MLR, Fast Expectation-maximization for Microbial Source Tracking (FEAST), and Bayesian community-wide culture-independent microbial source tracking (SourceTracker). Overall, the results of pollution sources apportionment using these three methods are comparable in some extent, whereas microbial traceability model shows more accurate pollution source identification ability in the complex pollution environments than PCA-APCS-MLR, and better reflects the pollution differences at various points. FEAST exhibits a more sensitive potential in source apportionment and shorter calculation time than SourceTracker, thus might be used to guide the precise regional pollution control. ? 2023, The Authors. All rights reserved.