摘要
基于Google Earth Engine(GEE)平台,以MODIS遥感影像为数据源,通过构建多元特征建立水质反演模型,分析了2006~2018年的南海透明度(SD)、总氮(TN)、叶绿素(Chl-a)、化学需氧量(COD)的空间变化特征,并通过综合营养指数分析了南海富营养化的时空趋势.结果表明:GEE结合多元回归模型能够较好模拟南海水质变化,水质对于MODIS特征的响应程度为SD>COD>TN>Chl-a,多项式拟合水质参数效果最好;南海的SD、TN、Chl-a、COD 4个水质参数时空异质规律明显,SD高值主要分布在菲律宾西部和越南东部的海域,2006~2018年SD逐步降低,2006~2018年间TN高值分布范围逐年扩大,而Chl-a浓度逐步降低,2006~2018年期间COD在逐渐蔓延;通过三维趋势面分析,SD和COD、TN和Chl-a的空间变化趋势相似,而Chl-a则与SD、COD的变化趋势完全相反;2006~2018年,中国南海富营养化程度呈递增趋势,不同国家应当开展区域合作以进行海洋环境治理.
Based on the Google Earth Engine(GEE)platform,this study took MODIS data to build water quality inversion models by constructing multivariate feature.The response degree of water quality to MODIS features was SD>COD>TN>Chl-a,and polynomial fitting of water quality parameters was the best model.The spatial and temporal heterogeneity of the four water quality parameters(SD,TN,Chl-a and COD)in the South China Sea was obviously different.The high SD values were mainly distributed in the western Philippines and eastern Vietnam sea areas,and gradually decreased from 2006 to 2018.During 2006 to 2018,the distribution range of TN high values expanded year by year,while the concentration of Chl-a gradually decreased.COD gradually spread from 2006 to 2018.Through three-dimensional trend surface analysis,the spatial variation trend of SD was similar to those of COD,TN and Chl-a,while the spatial variation trend of Chl-a was completely opposite to those of SD and COD.The eutrophication degree of the South China Sea showed an increasing trend from 2006 to 2018,different countries should carry out regional cooperation to manage the marine environment.
作者
王凤霞
夏卓异
郭雨辉
杨子清
李佳欣
陈崯晓
WANG Feng-xia;XIA Zhuo-yi;GUO Yu-hui;YANG Zi-qing;LI Jia-xin;CHEN Yin-xiao(School of Tourism,Hainan University,Haikou 570203,China;School of Architecture and Urban Engineering,Nanjing University,Nanjing 210093,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2022年第2期826-833,共8页
China Environmental Science
基金
国家重点研发计划(2019YFD0901300)
海南省社会科学界联合会(HNSK(YB)19-09)。
