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作 者:周立柱 杨顶田 尹小青[1,2] ZHOU Lizhu;YANG Dingtian;YIN Xiaoqing(Guangdong Key Laboratory of Ocean Remote Sensing,State Key Laboratory of Oceanography in the Tropics,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301,China;State Key Laboratory of Tropical Oceanography(South China Sea Institute of Oceanology,Chinese Academy of Sciences),Guangzhou 510301,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]广东省海洋遥感重点实验室,广州510301 [2]热带海洋环境国家重点实验室(中国科学院南海海洋研究所),广州510301 [3]中国科学院大学,北京100049
出 处:《生态科学》2018年第3期11-20,共10页Ecological Science
基 金:国家自然科学基金项目(U1405234);广东省科技计划项目(2016A050502038);广州市科技计划项目(201508020071)
摘 要:海南新村港和黎安港是海南省重要的渔港和海水养殖区,也是重要的海草保护区,其水环境质量对于社会经济和海洋生态都有重要影响。利用遥感和GIS的方法,结合经验模型估算新村港和黎安港非点源污染的年均负荷量,为水环境管理提供理论依据。使用GIS技术划分汇水区和模拟河网,获得分别流入新村港和黎安港的汇水区范围,结合遥感解译获得的土地利用现状图,进一步使用径流曲线模型(SCS-CN)以及输出系数方法对非点源污染负荷量进行估算。结果表明,新村港化学需氧量(COD)、总氮(TN)、总磷(TP)的年负荷量为565.55吨、89.68吨、9.55吨;黎安港的化学需氧量、总氮、总磷的年负荷量为113.48吨、20.91吨、2.44吨。污染物来源主要是海水养殖、生活污染和降雨径流污染。Xincan Bay and Li'an Bay are important fishing ports and mariculture area in Hainan province,and also an important seagrass protected area.Its water quality has important influence on both social economy and marine ecology.An approach was taken to estimate the non-point source pollution load and obtain the catchment area and classification by integrating Geographic Information System(GIS)and satellite Remote Sensing(RS).GIS technology was used to divide the catchment area and simulate the river network to obtain the watershed area of Xincun Bay and Li'an Bay respectively;the land use status was obtained by remote sensing interpretation;SCS-CN model and the output coefficient method were used to estimate non-point source pollution load.The results showed that the annual load of COD,TN and TP in Xincun Bay was 565.55 tons,89.68 tons and 9.55 tons,and in Li'an Bay it was 113.48 tons,20.91 tons and 2.44 tons,respectively.The non-point source pollution is mainly from aquaculture,domestic effluent.
分 类 号:X834[环境科学与工程—环境工程]
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