{"title":"东江流域土地利用变化及其产流产沙影响的时序遥感研究","authors":"H. Ma, J. Qiu, Y. Wang","doi":"10.1109/piers55526.2022.9792765","DOIUrl":null,"url":null,"abstract":"Land use and land cover (LULC) is an important factor affecting runoff and sediment yield of watershed. Dongjiang River is the main source of drink water for Hong Kong and cities in the Pearl River Delta Area, which experienced a rapid urbanization and blooming economy growth. Studying the land use changes using time series remote sensing and their influences on runoff and sediment yield in watershed-scale can provide valuable information for the formulation of land use plans in Dongjiang Watershed. This study constructed a SWAT (Soil and Water Assessment Tool) model of the Dongjiang River basin and analyzed the LULC changes from 2001 to 2012 using MODIS land use data products (MCD12Q1). The influence of LULC changes on the runoff and sediment yield in the Dongjiang basin was analyzed by simulating the runoff and sediment yield under different LULC scenarios. Our results show that the main types of land use in the Dongjiang River basin were evergreen woodland, grassland and agricultural land from 2001 to 2012, accounting for more than 80% of the total area of the basin. During the period of study, the evergreen forest land increased by 14.46%, while grassland, agricultural land and mixed forest decreased by 4.78%, 4.54% and 3.97%, respectively. These changes led to an increase of 0.22 mm in the average monthly runoff in the basin, which reached by 2.39 mm in flood season (April-September). At the same time range, the average monthly sediment yield decreased by 0.79 t/ha with a more significant decreasing by 6.29 t/ha in flood season (From April to September). Our results indicate that long term conversions of grassland, agricultural land and mixed forest to evergreen woodland in watershed will lead to the increasing runoff and decrease of sediments of river, which is important for catchment-scale resource planning and environmental management.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time Series Remote Sensing of Land Use Changes and Influences on Runoff and Sediment Yield in Dongjiang River Basin, China\",\"authors\":\"H. Ma, J. Qiu, Y. Wang\",\"doi\":\"10.1109/piers55526.2022.9792765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Land use and land cover (LULC) is an important factor affecting runoff and sediment yield of watershed. Dongjiang River is the main source of drink water for Hong Kong and cities in the Pearl River Delta Area, which experienced a rapid urbanization and blooming economy growth. Studying the land use changes using time series remote sensing and their influences on runoff and sediment yield in watershed-scale can provide valuable information for the formulation of land use plans in Dongjiang Watershed. This study constructed a SWAT (Soil and Water Assessment Tool) model of the Dongjiang River basin and analyzed the LULC changes from 2001 to 2012 using MODIS land use data products (MCD12Q1). The influence of LULC changes on the runoff and sediment yield in the Dongjiang basin was analyzed by simulating the runoff and sediment yield under different LULC scenarios. Our results show that the main types of land use in the Dongjiang River basin were evergreen woodland, grassland and agricultural land from 2001 to 2012, accounting for more than 80% of the total area of the basin. During the period of study, the evergreen forest land increased by 14.46%, while grassland, agricultural land and mixed forest decreased by 4.78%, 4.54% and 3.97%, respectively. These changes led to an increase of 0.22 mm in the average monthly runoff in the basin, which reached by 2.39 mm in flood season (April-September). At the same time range, the average monthly sediment yield decreased by 0.79 t/ha with a more significant decreasing by 6.29 t/ha in flood season (From April to September). Our results indicate that long term conversions of grassland, agricultural land and mixed forest to evergreen woodland in watershed will lead to the increasing runoff and decrease of sediments of river, which is important for catchment-scale resource planning and environmental management.\",\"PeriodicalId\":422383,\"journal\":{\"name\":\"2022 Photonics & Electromagnetics Research Symposium (PIERS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Photonics & Electromagnetics Research Symposium (PIERS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/piers55526.2022.9792765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/piers55526.2022.9792765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
土地利用和土地覆被是影响流域产流产沙的重要因素。东江是香港及珠江三角洲城市的主要饮用水源,而珠江三角洲地区正经历着快速的城市化和蓬勃的经济增长。利用时间序列遥感技术研究东江流域土地利用变化及其对流域产流产沙的影响,可为东江流域土地利用规划的制定提供有价值的信息。利用MODIS土地利用数据产品(MCD12Q1),构建了东江流域SWAT (Soil and Water Assessment Tool)模型,分析了2001 - 2012年东江流域土地利用价值变化。通过模拟不同情景下的径流产沙量,分析了东江流域径流产沙量变化对径流产沙量的影响。结果表明:2001 - 2012年东江流域土地利用类型以常绿林地、草地和农用地为主,占流域总面积的80%以上;研究期间,常绿林地面积增加14.46%,草地、农用地和混交林面积分别减少4.78%、4.54%和3.97%。这些变化导致流域月平均径流量增加0.22 mm,汛期(4 - 9月)增加2.39 mm。同期,月平均产沙量减少0.79 t/ha,汛期(4 - 9月)减少幅度更大,为6.29 t/ha。研究结果表明,流域内草地、农用地和混交林向常绿林地的长期转变将导致河流径流量的增加和沉积物的减少,这对流域尺度的资源规划和环境管理具有重要意义。
Time Series Remote Sensing of Land Use Changes and Influences on Runoff and Sediment Yield in Dongjiang River Basin, China
Land use and land cover (LULC) is an important factor affecting runoff and sediment yield of watershed. Dongjiang River is the main source of drink water for Hong Kong and cities in the Pearl River Delta Area, which experienced a rapid urbanization and blooming economy growth. Studying the land use changes using time series remote sensing and their influences on runoff and sediment yield in watershed-scale can provide valuable information for the formulation of land use plans in Dongjiang Watershed. This study constructed a SWAT (Soil and Water Assessment Tool) model of the Dongjiang River basin and analyzed the LULC changes from 2001 to 2012 using MODIS land use data products (MCD12Q1). The influence of LULC changes on the runoff and sediment yield in the Dongjiang basin was analyzed by simulating the runoff and sediment yield under different LULC scenarios. Our results show that the main types of land use in the Dongjiang River basin were evergreen woodland, grassland and agricultural land from 2001 to 2012, accounting for more than 80% of the total area of the basin. During the period of study, the evergreen forest land increased by 14.46%, while grassland, agricultural land and mixed forest decreased by 4.78%, 4.54% and 3.97%, respectively. These changes led to an increase of 0.22 mm in the average monthly runoff in the basin, which reached by 2.39 mm in flood season (April-September). At the same time range, the average monthly sediment yield decreased by 0.79 t/ha with a more significant decreasing by 6.29 t/ha in flood season (From April to September). Our results indicate that long term conversions of grassland, agricultural land and mixed forest to evergreen woodland in watershed will lead to the increasing runoff and decrease of sediments of river, which is important for catchment-scale resource planning and environmental management.