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作 者:王瑞 帅宁 黄帅帅 肖莹 张艳 黄诗乔 刁鑫鹏[4] WANG Rui;SHUAI Ning;HUANG Shuaishuai;XIAO Ying;ZHANG Yan;HUANG Shiqiao;DIAO Xinpeng(School of Resources and Architecture Engineering,Gannan University of Science and Technology,Ganzhou Jiangxi 341000,China;Ganzhou Key Laboratory of Remote Sensing for Resource and Environment,Ganzhou Jiangxi 341000,China;School of Humanities and Law,Gannan University of Science and Technology,Ganzhou Jiangxi 341000,China;School of Environment and Geomatics,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)
机构地区:[1]赣南科技学院资源与建筑工程学院,江西赣州341000 [2]赣州市资源与环境遥感重点实验室,江西赣州341000 [3]赣南科技学院文法学院,江西赣州341000 [4]中国矿业大学环境与测绘学院,江苏徐州221116
出 处:《新疆大学学报(自然科学版中英文)》2024年第3期344-353,共10页Journal of Xinjiang University(Natural Science Edition in Chinese and English)
基 金:国家自然科学基金“UAV/InSAR深度融合采动区地表形变损坏信息提取关键技术研究”(52364018),“采动区断层诱发地表异常形变动态响应机制及预测模型研究”(52104174);宁夏回族自治区重点研发计划“东部煤炭开采沉陷特性机理及适应的预测方法研究”(2022BEG03065)。
摘 要:赣南地区水资源丰富,受人类活动、农业、资源开采等的影响,存在一定水质污染问题.传统多采用单点化验分析水污染,此方法只代表局部和典型情况,而基于多光谱遥感反演水质参数能区域高精度定量反演.以赣南区域部分河段为研究区,利用Landsat8 OLI卫星影像,采用支持向量机方法对水体识别.结合赣南地区实际情况,选取水质参数氨氮、总磷、叶绿素a为研究对象,采用统计回归方法建立遥感波普信息与实测数据间的响应关系模型,反演结果氨氮总体浓度在0.2~0.4 mg/L、总磷0.06~0.18 mg/L、叶绿素a 5.01~6.81μg/L.同时采用决定系数(R2)和平均绝对误差(MAE)进行模型可行性及反演精度验证,反演结果R2分别为0.840、0.745、0.745,MAE分别为0.054、0.049、0.069,反演模型方法可靠,能够准确识别排污口,为保护水资源及防治水体污染提供可靠的技术支撑.The water resources in southern Jiangxi Province are abundant.Under the influence of human activities,agriculture and resource exploitation,there are some problems of water pollution in this area.The traditional single point analysis method is used to analyze water pollution,which only represents local and typical conditions,while the water quality parameter inversion based on multi-temporal remote sensing can be used for regional high-precision quantitative inversion.Based on Landsat8 OLI satellite images,this paper adopts support vector machine(SVM)method to identify water bodies.Based on the actual situation in southern Jiangxi Province,water quality parameters such as ammonia nitrogen,total phosphorus and chlorophyll a were selected as the research objects,and a response relationship model between remote sensing pop information and measured data was established by statistical regression method.The inversion results showed that the total concentration of ammonia nitrogen was 0.2∼0.4 mg/L,total phosphorus was 0.06∼0.18 mg/L,and chlorophyll a was 5.01∼6.81μg/L.Determination coefficient(R2)and mean absolute error(MAE)were used to verify the model feasibility and inversion accuracy.The inversion results R2 were 0.840,0.745 and 0.745,respectively.MAE were 0.054,0.049 and 0.069,respectively.The method of inversion model is reliable and can accurately identify sewage outlets,providing reliable technical support for protecting water resources and preventing water pollution.
分 类 号:P237[天文地球—摄影测量与遥感]
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