Using sulfur and oxygen isotopes to analyze the source of sulfate associated with the Eastern Route of the South-to-North Water Diversion Project in China

التفاصيل البيبلوغرافية
العنوان: Using sulfur and oxygen isotopes to analyze the source of sulfate associated with the Eastern Route of the South-to-North Water Diversion Project in China
المؤلفون: Jian-Ren Zhou, Wenlong Xie, Jing Zhao, Kaili Qiao, Tiantian Song, Weijun Tian, Liang Wang, Zhaoyang Du, Meile Chu
بيانات النشر: Authorea, Inc., 2020.
سنة النشر: 2020
مصطلحات موضوعية: Hydrology, Evaporite, business.industry, chemistry.chemical_element, Water supply, Sewage, Sulfur, Isotopes of oxygen, chemistry.chemical_compound, chemistry, Environmental science, Sulfate, business, China, Dissolution
الوصف: Since the Eastern Route of the South-to-North Water Diversion Project (SNWD-ERP) officially began operation, it was found that the concentrations of sulfate rapidly increased after water transfer from Jiangsu Province to Shandong Province, especially in Nansi Lake (NSL). The direct and original sources of sulfate in NSL and its surrounding inflowing rivers were investigated by analyzing the hydrochemical properties of the water bodies and sulfur and oxygen isotope compositions of dissolved sulfate during nondiversion and diversion water periods. During the diversion water period, the largest direct source of high SO42- concentrations in NSL was evaporite dissolution, accounting for 52.18% of the total contribution. In contrast, during the nondiversion water period, the maximum contribution of SO42- came from inflowing river inputs. To ensure the safety of the water supply of the SNWD-ERP, some measures must be taken to decrease the sulfate inputs from inflowing rivers, such as formulating strict discharge standards to reduce the direct discharge of sewage into the inflowing rivers around NSL.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d3048ae71868818ec928465f5c76249a
https://doi.org/10.22541/au.160037755.52790128
حقوق: OPEN
رقم الأكسشن: edsair.doi...........d3048ae71868818ec928465f5c76249a
قاعدة البيانات: OpenAIRE