文献类型：期刊文献

中文题名：Parameter selection and model research on remote sensing evaluation for nearshore water quality

英文题名：Parameter selection and model research on remote sensing evaluation for nearshore water quality

作者：Lei Guibin[1];Zhang Ying[1,2];Pan Delu[2];Wang Difeng[2];Fu Dongyang[1]

机构：[1]Guangdong Ocean Univ, Guangdong Prov Key Lab Coastal Ocean Variat & Dis, Zhanjiang 524088, Peoples R China;[2]State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Zhejiang, Peoples R China

年份：2016

卷号：35

期号：1

起止页码：114

中文期刊名：Acta Oceanologica Sinica

外文期刊名：ACTA OCEANOLOGICA SINICA

收录：SCI-EXPANDED(收录号：WOS:000367846500014)、CSTPCD、、CSCD2015_2016、Scopus(收录号：2-s2.0-84953249456)、WOS、CSCD

基金：Foundation item: The Science and Technology Project of Guangdong Province under contract No. 2014A010103030; the Postdoctoral Science Foundation of Zhejiang under contract No. BSH1301015; the Supported by Foundation for Distinguished Young Talents in Higher Education of Guangdong Province No. GDOU2013050233.

语种：英文

中文关键词：main water quality parameters; water quality parameter selection; comprehensive water qualityevaluation model; Leizhou Peninsula nearshore waters

外文关键词：main water quality parameters; water quality parameter selection; comprehensive water quality evaluation model; Leizhou Peninsula nearshore waters

中文摘要：Using remote sensing technology for water quality evaluation is an inevitable trend in marine environmental monitoring. However, fewer categories of water quality parameters can be monitored by remote sensing technology than the 35 specified in GB3097-1997 Marine Water Quality Standard. Therefore, we considered which parameters must be selected by remote sensing and how to model for water quality evaluation using the finite parameters. In this paper, focused on Leizhou Peninsula nearshore waters, we found N, P, COD, PH and DO to be the dominant parameters of water quality by analyzing measured data. Then, mathematical statistics was used to determine that the relationship among the five parameters was COD〉DO〉P〉N〉pH. Finally, five-parameter, fourparameter and three-parameter water quality evaluation models were established and compared. The results showed that COD, DO, P and N were the necessary parameters for remote sensing evaluation of the Leizhou Peninsula nearshore water quality, and the optimal comprehensive water quality evaluation model was the four- parameter model. This work may serve as a reference for monitoring the quality of other marine waters by remote sensing.

外文摘要：Using remote sensing technology for water quality evaluation is an inevitable trend in marine environmental monitoring. However, fewer categories of water quality parameters can be monitored by remote sensing technology than the 35 specified in GB3097-1997 Marine Water Quality Standard. Therefore, we considered which parameters must be selected by remote sensing and how to model for water quality evaluation using the finite parameters. In this paper, focused on Leizhou Peninsula nearshore waters, we found N, P, COD, PH and DO to be the dominant parameters of water quality by analyzing measured data. Then, mathematical statistics was used to determine that the relationship among the five parameters was COD > DO > P > N > pH. Finally, five-parameter, fourparameter and three-parameter water quality evaluation models were established and compared. The results showed that COD, DO, P and N were the necessary parameters for remote sensing evaluation of the Leizhou Peninsula nearshore water quality, and the optimal comprehensive water quality evaluation model was the fourparameter model. This work may serve as a reference for monitoring the quality of other marine waters by remote sensing.