Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China
Study region: Dongting Lake, Southern China. Study focus: Lakes play a crucial role in Sustainable Development Goal (SDG) 6, which focuses on water-related ecosystems. Here, we devised a methodology to estimate Dongting Lake water storage and analyze their dynamic changes for monitoring SDG 6.6.1 fr...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S221458182400524X |
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| author | Huanhua Peng Zihan Tang Zhiming Chen Yating Wu Yuan Yuan Qian Shi Lelin Li Hao Chen |
| author_facet | Huanhua Peng Zihan Tang Zhiming Chen Yating Wu Yuan Yuan Qian Shi Lelin Li Hao Chen |
| author_sort | Huanhua Peng |
| collection | DOAJ |
| description | Study region: Dongting Lake, Southern China. Study focus: Lakes play a crucial role in Sustainable Development Goal (SDG) 6, which focuses on water-related ecosystems. Here, we devised a methodology to estimate Dongting Lake water storage and analyze their dynamic changes for monitoring SDG 6.6.1 from 2001 to 2020. This study not only provide a geospatial perspective for monitoring water storage for SDG 6.6.1 under the climate oscillations and human impacts in a large floodplain lake but also provide an important scientific basis for improving the optimal allocation of water resources of the Dongting Lake area. New hydrological insights: Remote sensing data are preferable for establishing water storage models during dry seasons, whereas water level is more reliable during wet seasons. Over the past 20 years, average annual water storage in the lake regions has displayed relatively stable fluctuations with an upward trend since 2015. During the wet season, East Dongting Lake has the largest storage capacity, while most of the water resources are concentrated in South Dongting Lake during the dry season. The water storage deviation reached up to 20 %, with a notable negative deviation of more than 10 % during 2011–2015 caused by a severe drought. Related to the stable operation of the Three Gorges Project and the conservation policy initiated by the Chinese government, Dongting Lake is in a stable and recovery period. |
| format | Article |
| id | doaj-art-8edc669165914287993b1de7df015810 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-8edc669165914287993b1de7df0158102025-01-22T05:42:21ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102175Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, ChinaHuanhua Peng0Zihan Tang1Zhiming Chen2Yating Wu3Yuan Yuan4Qian Shi5Lelin Li6Hao Chen7Institute for Local Sustainable Development Goals, Hunan University of Science and Technology, Xiangtan 411201, China; School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; Corresponding authors at: Institute for Local Sustainable Development Goals, Hunan University of Science and Technology, Xiangtan 411201, China.School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Mathematics and Computational Science, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaInstitute for Local Sustainable Development Goals, Hunan University of Science and Technology, Xiangtan 411201, China; School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaInstitute for Local Sustainable Development Goals, Hunan University of Science and Technology, Xiangtan 411201, China; School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; Corresponding authors at: Institute for Local Sustainable Development Goals, Hunan University of Science and Technology, Xiangtan 411201, China.Study region: Dongting Lake, Southern China. Study focus: Lakes play a crucial role in Sustainable Development Goal (SDG) 6, which focuses on water-related ecosystems. Here, we devised a methodology to estimate Dongting Lake water storage and analyze their dynamic changes for monitoring SDG 6.6.1 from 2001 to 2020. This study not only provide a geospatial perspective for monitoring water storage for SDG 6.6.1 under the climate oscillations and human impacts in a large floodplain lake but also provide an important scientific basis for improving the optimal allocation of water resources of the Dongting Lake area. New hydrological insights: Remote sensing data are preferable for establishing water storage models during dry seasons, whereas water level is more reliable during wet seasons. Over the past 20 years, average annual water storage in the lake regions has displayed relatively stable fluctuations with an upward trend since 2015. During the wet season, East Dongting Lake has the largest storage capacity, while most of the water resources are concentrated in South Dongting Lake during the dry season. The water storage deviation reached up to 20 %, with a notable negative deviation of more than 10 % during 2011–2015 caused by a severe drought. Related to the stable operation of the Three Gorges Project and the conservation policy initiated by the Chinese government, Dongting Lake is in a stable and recovery period.http://www.sciencedirect.com/science/article/pii/S221458182400524XWater storageRemote sensingEcological protectionSDG 6Dongting Lake |
| spellingShingle | Huanhua Peng Zihan Tang Zhiming Chen Yating Wu Yuan Yuan Qian Shi Lelin Li Hao Chen Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China Journal of Hydrology: Regional Studies Water storage Remote sensing Ecological protection SDG 6 Dongting Lake |
| title | Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China |
| title_full | Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China |
| title_fullStr | Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China |
| title_full_unstemmed | Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China |
| title_short | Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China |
| title_sort | geospatial perspective for monitoring sdg 6 6 1 based on spatial and temporal analysis of lake water storage variations in dongting lake china |
| topic | Water storage Remote sensing Ecological protection SDG 6 Dongting Lake |
| url | http://www.sciencedirect.com/science/article/pii/S221458182400524X |
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