摘要
                
                    解析土地利用变化对茅尾海水质的贡献度,为推进茅尾海水质改善和开展整治工作提供科学依据和技术支撑。以茅尾海及其入海河流为研究对象,基于GF-2数据、Sentinel-2数据和实测水质数据,综合运用遥感解译、参数反演、马尔科夫转移矩阵、变化趋势分析、Pearson相关性分析和冗余分析,探究了2015—2021年茅尾海土地利用和丰水期水质的变化特征,实现了土地利用变化对水质的贡献度解析。结果表明:2015—2021年茅尾海土地利用转出以水体、林地和池塘养殖为主,分别占转出总面积的38.57%、25.85%、15.23%,转入以海上养殖、建筑用地和林地为主,分别占转入总面积的33.37%、27.07%、14.66%;2015—2021年茅尾海丰水期4种水质参数浓度整体上呈逐年上升趋势,浓度显著变化区域主要分布在河流入海口及海上养殖区;2015—2021年间,建筑用地对茅尾海入海口水质的贡献度均在40%以上,是水质浓度变化主要控制因素;池塘养殖次之,贡献度呈波动递减趋势;海上养殖的贡献度年增长率最高,其面积的改变是影响茅尾海水质变化的重要因素。
                
                In recent years,there has been intense development activity in coastal areas,and the difficulty of developing the marine economy while protecting the marine environment has become more apparent.In this study,the Maowei Sea and the three major inflowing rivers(Maoling,Dalan and Qingjiang)were investigated.Using GF-2(Gaofen-2)data,Sentinel-2 data and 456 water samples from 38 monitoring sites collected in 2015,2018 and 2021,we analyzed the effect of land use change on four sea water quali-ty parameters:chemical oxygen demand(COD),dissolved inorganic nitrogen(DIN),dissolved inorganic phosphorus(DIP),and chlorophyl-a(Chl-a).The correlation of land-based pollution with marine eutrophi-cation was then analyzed using remotely sensed images,the Markov transfer matrix,trend analysis,Pear-son correlation analysis and redundancy analysis.We aimed to provide a scientific basis for advancing wa-ter quality improvement and treatment,and to supply technical support for coordinated land-coastal gover-nance.Results show that:(1)Water bodies(38.57%),woodland(25.85%),and pond aquaculture(15.23%)were the primary land use types lost in the Maowei Sea area during the study period,and the primary gains were in marine aquaculture(33.37%),construction land(27.07%),and woodland(14.66%),which accounted for 75.10%of the total transferred-in area.(2)The concentrations of the four water quality pa-rameters in wet season increased year by year,with significant concentration in river estuaries and marine culture areas.(3)Construction land consistently contributed over 40%to the water quality variations in the Maowei Sea estuary,and was the primary driver of water quality changes.Pond aquaculture ranked as the secondary contributor,although its contribution decreased with the decline in pond aquaculture.The contribution of marine aquaculture displayed the highest annual growth rate,and was a critical factor for water quality dynamics in the Maomao Sea.To improve environmental protection in the Maowei Sea,we should:1)Raise awareness among aquaculture workers about marine ecology.2)Better plan fishing zones,stop illegal farming,control fish density,and treat aquacultural wastewater.3)Enhance integrated water remediation for the Qinjiang and Maoling Rivers and clean up the two rivers by building and up-grading sewage treatment plants and separating storm water from domestic wastewater.4)Set up land-sea monitoring systems to predict and prevent marine disasters.The overall goal is to protect and improve wa-ter quality using comprehensive measures.
    
    
                作者
                    宋志英
                    张寒博
                SONG Zhiying;ZHANG Hanbo(Hebei Vocational College of Political Science and Law,Shijiazhuang 050061,P.R.China;Guangxi Forest Inventory and Planning Institute,Nanning 530011,P.R.China)
     
    
    
                出处
                
                    《水生态学杂志》
                        
                                北大核心
                        
                    
                        2025年第5期113-128,共16页
                    
                
                    Journal of Hydroecology
     
            
                基金
                    国家自然科学基金(41901372)
                    广东省科学院发展专项资金(2022GDASZH-2022010202)。
            
    
                关键词
                    土地利用
                    水质参数反演
                    遥感解译
                    冗余分析
                    贡献度
                    茅尾海
                
                        land use
                        water quality parameter inversion
                        remote sensing interpretation
                        redundancy anal-ysis
                        contribution rate
                        Maowei Sea
                
     
    
    
                作者简介
宋志英,1977年生,男,硕士,讲师,主要研究方向为海洋遥感原理与应用。E-mail:812844237@qq.com;通信作者:张寒博,1996年生,男,硕士,工程师,主要研究方向为遥感水质反演及污染物溯源分析。E-mail:2120191109@glut.edu.cn。