| 茅尾海入海河口池塘养殖污染状况遥感调查 |
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| 引用本文： | 胡义强,杨骥,荆文龙,彭小燕,蓝文陆,彭梦微,张雨萌.茅尾海入海河口池塘养殖污染状况遥感调查[J].测绘通报,2022,0(7):12. |
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| 作者姓名： | 胡义强 杨骥 荆文龙 彭小燕 蓝文陆 彭梦微 张雨萌 |
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| 作者单位： | 1. 广东省科学院广州地理研究所(广东省遥感与地理信息系统应用重点实验室, 广东省地理时空大数据工程实验室), 广东 广州 510070;2. 南方海洋科学与工程广东省实验室(广州), 广东 广州 511458;3. 广西壮族自治区海洋环境监测中心站, 广西 北海 536000;4. 广东工业大学环境生态工程研究院, 广东 广州 510006 |
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| 基金项目： | 广西科技重点研发计划(桂科AB20297037);国家自然科学基金(41976189;41976190);广东省科学院实施创新驱动发展能力建设专项(2019GDASYL-0301001);广东省科技计划项目(2021B1212100006);广东省引进创新创业团队项目(2016ZT06D336);南方海洋科学与工程广东省实验室(广州)(GML2019ZD0301);人才团队引进重大专项(GML2019ZD0301) |
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| 摘 要： | 针对广西茅尾海入海河口池塘养殖污染问题,本文利用无人机多光谱遥感影像和实测水质数据,建立了反映水体营养状态的叶绿素a (Chl-a)、化学需氧量(COD)、悬浮物(SS)、总氮(TN)、总磷(TP)5种水质参数,反演光谱特征及遥感反演模型,并利用湖泊综合营养指数法对水体富营养化状态进行评价。研究结果表明:①Chl-a与蓝、近红外波段相关性显著,COD与红、红边波段相关性显著,SS与红边波段相关性显著,TN与近红外波段相关性显著,TP与蓝、绿波段相关性显著;②在建立的几种水质参数反演模型中,二次多项式函数反演模型综合效果最佳;③池塘养殖区水体富营养指数多集中在60～80,属于中度和重度富营养化程度,且近岸水体富营养化程度大多低于远岸。
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| 关 键 词： | 池塘养殖 无人机 水质参数 遥感反演 营养评价 |
| 收稿时间： | 2021-09-29 |
| 修稿时间： | 2022-05-23 |
Remote sensing investigation on water pollution of pond aquaculture in estuary of Maowei Sea |
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| HU Yiqiang,YANG Ji,JING Wenlong,PENG Xiaoyan,LAN Wenlu,PENG Mengwei,ZHANG Yumeng.Remote sensing investigation on water pollution of pond aquaculture in estuary of Maowei Sea[J].Bulletin of Surveying and Mapping,2022,0(7):12. |
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| Authors: | HU Yiqiang YANG Ji JING Wenlong PENG Xiaoyan LAN Wenlu PENG Mengwei ZHANG Yumeng |
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| Abstract: | Aiming at the pollution of pond breeding in mouth of Mawei Sea in Guangxi, this paper based on unmanned aerial vehicle (UAV) multi-spectral remote sensing images and measured water quality data, establish spectral characteristics and remote sensing inversion model of five water quality parameters, which can reflecting the nutritional state of water bodies: Chlorophyll-A (Chl-A), Chemical Oxygen Demand (COD), Suspended Solid (SS), Total Nitrogen (TN) and Total Phosphorus (TP). Based on the inversion results, we evaluate the eutrophication status of water body. The results show that: ①Chl-A is significantly correlated with Blue and NIR bands, COD is highly correlated with Red and Red Edge bands, SS is highly correlated with Red Edge bands, TN issignificantly correlated with NIR bands, TP is highly correlated with Blue and Green bands. ②Among the established inversion models of water quality parameters, Quadratic polynomial function inversion model has the best fitting effect.③We found that the eutrophication index of water bodies in pond aquaculture area mainly ranged from 60 to 80, belonging to moderate and severe eutrophication degree, and the eutrophication degree of near-shore water bodies was lower than that of far-shore water bodies in spatial distribution. |
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| Keywords: | pond aquaculture UAV water quality parameters remote sensing inversion nutritional evaluation |
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