期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 652, 期 -, 页码 455-470出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2018.10.113
关键词
Coastal area of Qingdao; Total nitrogen; Total maximum allocated load; Water quality; Jurisdictions; Coastal pollution control
资金
- National Key R&D Program of China [2016YFC1402101]
- Ministry of Science and Technology of the People's Republic of China [2015CB452905]
- Natural Science Foundation of China [41676062]
- NSFC-Shandong Joint Fund for Marine Ecology and Environmental Sciences [U1606404]
This study aims to provide a quantitative basis for the precision emission reduction of land-based total nitrogen (TN) pollutants in Qingdao, China. The total maximum allocated load (TMAL) of TN pollutants within jurisdictions in Qingdao was calculated by using a 3D hydrodynamic-water quality model and a linear programming model. The TMAL includes emission TMAL, point-source and nonpoint source TMAL, TMAL removed by municipal sewage treatment system (MSTS), and soil-retained and water-retained TMAL, which were calculated after the division of source units, establishment of the land-based TN load matrix, simulation of the concentration response matrix, setting of a dissolved inorganic nitrogen (DIN) concentration control standard in the Qingdao coastal area, and calculation of TMAL. In the reliability analysis, a concentration under TMAL was considered to indicate satisfactory water quality criteria (relative standard deviation = 17%, Kappa = 0.55). The results showed that the emission TMAL density of nitrogen pollutants in source units was 1.8 ton/km(2)/a. Nonpoint and point source-produced TMAL densities were 17.0 ton/km(2)/a and 5.2 ton/km(2)/a, respectively. MSTS-removed TMAL density was 12.2 ton/km(2)/a. Soil-and water-retained TMAL were 4.0 ton/km(2)/a and 0.7 ton/km(2)/a, respectively. The summed F-(D)* proportions of 10 districts were, in descending order, Huangdao (22%), Laoshan (21%), Jimo (18%), Shibei (13%), Licang (7%), Pingdu (7%), Jiaozhou (4%), Shinan (3%), Laixi (3%) and Chengyan (2%). (C) 2018 Elsevier B.V. All rights reserved.
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