卫星遥感揭示江淮流域湖泊围网大幅拆除
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1:安徽大学,农业生态大数据分析与应用技术国家地方联合工程研究中心,合肥 230039 ;2:湖北工业大学,河湖健康智慧感知与生态修复教育部重点实验室,武汉 430068 ;3:中国科学院南京地理与湖泊研究所,湖泊与流域水安全全国重点实验室,南京 211135

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国家自然科学基金面上项目(4257012863)和河湖健康智慧感知与生态修复教育部重点实验室开放基金项目(HGKFZ09)联合资助


Satellite remote sensing reveals substantial decrease of enclosure aquaculture in the Yangtze-Huaihe River Basin
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1:National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230039 , P.R.China ;2:Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan 430068 , P.R.China ;3: State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135 , P.R.China

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    摘要:

    湖泊围网养殖是内陆淡水渔业的主要养殖方式之一,为粮食安全、就业和经济增长做出了重要贡献。然而,随着养殖规模和强度的增加,湖泊生态平衡逐渐被破坏。因此,明确湖泊围网的空间分布及其演变特征对湖泊生态保护具有重要意义。相比于实地调查,卫星遥感技术具有大尺度、可追溯性和经济性等优势,是监测湖泊围网的有效方式。本研究基于Sentinel-1 SAR数据和U-Net模型构建了湖泊围网自动监测算法。利用该算法对10个典型围网养殖湖泊的验证数据进行测试,像素准确率均超过80%;同时,基于长时序随机样点的验证结果显示,总体分类精度达到95%以上。此外,本研究将该算法应用于江淮流域围网养殖湖泊监测,获取了2016-2023年江淮流域湖泊围网养殖的时空演变特征。结果表明:江淮流域共有48个湖泊(面积大于10 km2)进行养殖活动,2016-2023年江淮流域湖泊围网养殖面积呈现大幅减少趋势,总面积由2118.72 km2减少至462.94 km2,其中34个(约71%)湖泊已完全拆除围网。研究成果为围网拆除前后湖泊水环境与水生态变化及其成效评估提供了数据支撑,也为湖泊生态环境保护修复与可持续发展措施的制定提供了科学依据。

    Abstract:

    Enclosure aquaculture in lakes is one of the primary types of inland freshwater aquaculture, making significant contributions to food security, employment, and economic growth. However, with the rapid escalation in enclosure aquaculture intensity, there is an observed disruption to the ecological balance of lakes on a gradual basis. It is imperative to develop a profound understanding of the spatiotemporal dynamics of enclosure aquaculture in order to facilitate the preservation and restoration of lake ecosystems. In comparison with field surveys, satellite remote sensing offers a number of advantages, including large-scale coverage, traceability, and cost-effectiveness, thus rendering it the optimal choice for the monitoring of lake enclosure aquaculture. The present study developed an automatic algorithm for monitoring enclosure aquaculture based on Sentinel-1 SAR data and the U-Net model. The efficacy of the proposed algorithm was assessed through a rigorous evaluation process involving the utilization of validation data from ten representative enclosure aquaculture lakes. The evaluation yielded a remarkable extraction accuracy exceeding 80% across all instances, thereby substantiating the algorithms effectiveness. Moreover, the validation results based on long-term random sampling points demonstrated an overall classification accuracy that exceeded 95%.In addition, the algorithm was employed for the monitoring of enclosure aquaculture lakes in the Yangtze-Huaihe River Basin, thereby providing insights into the spatiotemporal evolution of enclosure aquaculture from 2016 to 2023. The results indicated that a total of 48 lakes (larger than 10 km2) in the Yangtze-Huaihe River Basin were engaged in aquaculture activities. From 2016 to 2023, the area of enclosure aquaculture in these lakes underwent a substantial decrease, with the total area diminishing from 2118.72 km2 to 462.94 km2. Of the lakes under consideration, 34 (approximately 71%) had successfully removed their enclosure nets. The findings of the present study offer crucial support for the evaluation of the dynamics of lake water environments and the transformation of aquatic ecosystems both before and after enclosure and the removal of enclosure aquaculture. Moreover, they provide a scientific underpinning for the formulation of measures aimed at the restoration of lake ecosystems, environmental protection, and sustainable development.

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黄林生,翟金龙,孙喆,徐颖,高健,辛逸豪,秦海涛,赵晋陵,阮超,徐亚田,罗菊花.卫星遥感揭示江淮流域湖泊围网大幅拆除.湖泊科学,2025,37(6):2260-2272. DOI:10.18307/2025.0645

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  • 在线发布日期: 2025-11-03
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