Yingcong Wang , Duanrui Wang , Xinying Shi , Zongming Wang , Kaishan Song , Dehua Mao
{"title":"中国沿海养殖池塘分布及排水变化对近海水质的影响","authors":"Yingcong Wang , Duanrui Wang , Xinying Shi , Zongming Wang , Kaishan Song , Dehua Mao","doi":"10.1016/j.jag.2025.104858","DOIUrl":null,"url":null,"abstract":"<div><div>Coastal aquaculture ponds (CAPs) play a key role in ensuring global food security. However, their rapid expansion and seasonal drainage have triggered severe offshore water quality deterioration, posing substantial challenges to coastal sustainability in China. Therefore, accurately characterizing CAPs drainage dynamics and analyzing their impacts on offshore water quality are practically significant. In this study, we conducted the first national-scale assessment of CAPs drainage dynamics from 2017 to 2022 by utilizing time-series Harmonized Landsat and Sentinel-2 imagery combined with Sentinel-1 SAR data. We further quantitatively assessed the impacts of CAPs distribution and drainage periods on offshore water quality characterized by six parameters. CAPs drainage period exhibited temporal variations across China’s coastline. Interannual analysis of drainage patterns (2017–2022) exhibited significant delays, with an average of 12 and 29 days at the start and end of drainage periods, respectively. These temporal shifts were accompanied by a 19-day mean increase in drainage duration. Moreover, regions with degraded offshore water quality exhibited a high density of CAPs distribution. CAPs area and Chlorophyll-a concentration exhibited a significant positive correlation, which gradually increased as offshore distance decreased. Moreover, offshore water quality parameters exhibited notable peaks during the drainage periods, with the peak timing synchronized with interannual drainage dynamics, while water quality showed minimal fluctuations near the non-drained aquaculture ponds. The research findings could benefit coastal ecosystem governance and the sustainable development of marine fisheries, thereby promoting marine fishery enhancement and safeguarding marine ecological security.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"143 ","pages":"Article 104858"},"PeriodicalIF":8.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impacts of coastal aquaculture pond distribution and drainage variations on offshore water quality in China\",\"authors\":\"Yingcong Wang , Duanrui Wang , Xinying Shi , Zongming Wang , Kaishan Song , Dehua Mao\",\"doi\":\"10.1016/j.jag.2025.104858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coastal aquaculture ponds (CAPs) play a key role in ensuring global food security. However, their rapid expansion and seasonal drainage have triggered severe offshore water quality deterioration, posing substantial challenges to coastal sustainability in China. Therefore, accurately characterizing CAPs drainage dynamics and analyzing their impacts on offshore water quality are practically significant. In this study, we conducted the first national-scale assessment of CAPs drainage dynamics from 2017 to 2022 by utilizing time-series Harmonized Landsat and Sentinel-2 imagery combined with Sentinel-1 SAR data. We further quantitatively assessed the impacts of CAPs distribution and drainage periods on offshore water quality characterized by six parameters. CAPs drainage period exhibited temporal variations across China’s coastline. Interannual analysis of drainage patterns (2017–2022) exhibited significant delays, with an average of 12 and 29 days at the start and end of drainage periods, respectively. These temporal shifts were accompanied by a 19-day mean increase in drainage duration. Moreover, regions with degraded offshore water quality exhibited a high density of CAPs distribution. CAPs area and Chlorophyll-a concentration exhibited a significant positive correlation, which gradually increased as offshore distance decreased. Moreover, offshore water quality parameters exhibited notable peaks during the drainage periods, with the peak timing synchronized with interannual drainage dynamics, while water quality showed minimal fluctuations near the non-drained aquaculture ponds. The research findings could benefit coastal ecosystem governance and the sustainable development of marine fisheries, thereby promoting marine fishery enhancement and safeguarding marine ecological security.</div></div>\",\"PeriodicalId\":73423,\"journal\":{\"name\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"volume\":\"143 \",\"pages\":\"Article 104858\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1569843225005059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569843225005059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Impacts of coastal aquaculture pond distribution and drainage variations on offshore water quality in China
Coastal aquaculture ponds (CAPs) play a key role in ensuring global food security. However, their rapid expansion and seasonal drainage have triggered severe offshore water quality deterioration, posing substantial challenges to coastal sustainability in China. Therefore, accurately characterizing CAPs drainage dynamics and analyzing their impacts on offshore water quality are practically significant. In this study, we conducted the first national-scale assessment of CAPs drainage dynamics from 2017 to 2022 by utilizing time-series Harmonized Landsat and Sentinel-2 imagery combined with Sentinel-1 SAR data. We further quantitatively assessed the impacts of CAPs distribution and drainage periods on offshore water quality characterized by six parameters. CAPs drainage period exhibited temporal variations across China’s coastline. Interannual analysis of drainage patterns (2017–2022) exhibited significant delays, with an average of 12 and 29 days at the start and end of drainage periods, respectively. These temporal shifts were accompanied by a 19-day mean increase in drainage duration. Moreover, regions with degraded offshore water quality exhibited a high density of CAPs distribution. CAPs area and Chlorophyll-a concentration exhibited a significant positive correlation, which gradually increased as offshore distance decreased. Moreover, offshore water quality parameters exhibited notable peaks during the drainage periods, with the peak timing synchronized with interannual drainage dynamics, while water quality showed minimal fluctuations near the non-drained aquaculture ponds. The research findings could benefit coastal ecosystem governance and the sustainable development of marine fisheries, thereby promoting marine fishery enhancement and safeguarding marine ecological security.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.