4.7 Article

Calculation of city total maximum allocated load of total nitrogen for jurisdictions in Qingdao, China: A water quality-based modeling approach

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

  1. National Key R&D Program of China [2016YFC1402101]
  2. Ministry of Science and Technology of the People's Republic of China [2015CB452905]
  3. Natural Science Foundation of China [41676062]
  4. NSFC-Shandong Joint Fund for Marine Ecology and Environmental Sciences [U1606404]

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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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