A spatiotemporal interpolation method for the assessment of pollutant concentrations in the Yangtze River estuary and adjacent areas from 2004 to 2013 | |
Wang, Jiaxin1,2; Hu, Maogui2; Gao, Bingbo3; Fan, Haimei4; Wang, Jinfeng1,2 | |
刊名 | ENVIRONMENTAL POLLUTION |
2019-09-01 | |
卷号 | 252页码:501-510 |
关键词 | ST-PMSN Stratified heterogeneity Water pollution Yangtze river estuary |
ISSN号 | 0269-7491 |
DOI | 10.1016/j.envpol.2019.05.132 |
通讯作者 | Hu, Maogui(humg@lreis.ac.cn) ; Fan, Haimei(fhm@eastsea.gov.cn) |
英文摘要 | Nitrogen is one of the most significant pollutants in the Yangtze River estuary (YRE), China. Reliable estimation of nitrogen concentration in the water is crucial for assessment of the water quality of the estuary. Because ocean fronts exist in the YRE, which divide water masses into different regions, it is necessary to account for the heterogeneity of the water surface when predicting nitrogen concentrations. A new geostatistical method, called spatiotemporal point mean of surface with non-homogeneity (ST-PMSN), is proposed to model the non-stationary spatiotemporal random process of nitrogen concentrations between 2004 and 2013 in the YRE. The method considers the spatiotemporal correlation of surface water nitrogen and uses information from both sides of a boundary for heterogeneous water masses. Comparing with several other interpolating methods, including spatial ordinary kriging (OK), stratified ordinary kriging (SOK), point mean of surface with non-homogeneity (P-MSN), spatiotemporal ordinary kriging (STK), and stratified spatiotemporal ordinary kriging (SSTK), the cross-validation results show that ST-PMSN has the highest accuracy, followed by SSTK, STK, P-MSN, SOK, and OK in descending order. ST-PMSN is therefore demonstrated to be effective in estimating the nitrogen pollutant concentrations in a stratified estuary. According to interpolated nitrogen concentrations in the YRE, water quality has generally deteriorated-with fluctuations-from 2004 to 2013. The average annual reduction in area of water quality of Grades I and II from 2004 to 2013 was 1.10%. At the same time, the average annual increase in area of water quality of Grades III and IV was 0.89% and that of Grade V was 0.21%. The results of this study provide a new and more accurate interpolating method for assessing the pollutant concentration in the marine and offers guidance for more precise classification of water quality in the YRE. (C) 2019 Elsevier Ltd. All rights reserved. |
资助项目 | National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41771434] ; National Key Research and Development Program[2017YFA0604804] ; National Key Research and Development Program[2017ZX10201302] ; National Key Research and Development Program[2017YFC1405002] ; Innovation Project of LREIS[088RA200YA] |
WOS关键词 | TEMPORAL VARIATIONS ; MONITORING SITES ; TOTAL PHOSPHORUS ; NITROGEN ; OPTIMIZATION ; SEA |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:000483005500053 |
资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program ; Innovation Project of LREIS |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/69785] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Hu, Maogui; Fan, Haimei |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China 4.State Ocean Adm, East China Sea Environm Monitoring Ctr, Shanghai 201206, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Jiaxin,Hu, Maogui,Gao, Bingbo,et al. A spatiotemporal interpolation method for the assessment of pollutant concentrations in the Yangtze River estuary and adjacent areas from 2004 to 2013[J]. ENVIRONMENTAL POLLUTION,2019,252:501-510. |
APA | Wang, Jiaxin,Hu, Maogui,Gao, Bingbo,Fan, Haimei,&Wang, Jinfeng.(2019).A spatiotemporal interpolation method for the assessment of pollutant concentrations in the Yangtze River estuary and adjacent areas from 2004 to 2013.ENVIRONMENTAL POLLUTION,252,501-510. |
MLA | Wang, Jiaxin,et al."A spatiotemporal interpolation method for the assessment of pollutant concentrations in the Yangtze River estuary and adjacent areas from 2004 to 2013".ENVIRONMENTAL POLLUTION 252(2019):501-510. |
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