Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model
With the gradual prominence of global water shortage and other problems, evaluating and predicting the impact of land use change on regional water conservation function is of great reference significance for carrying out national spatial planning and environmental protection, and realizing land inte...
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PeerJ Inc.
2024-11-01
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| author | Pengtao Niu Zhan Wang Jing Wang Yi Cao Peihao Peng |
| author_facet | Pengtao Niu Zhan Wang Jing Wang Yi Cao Peihao Peng |
| author_sort | Pengtao Niu |
| collection | DOAJ |
| description | With the gradual prominence of global water shortage and other problems, evaluating and predicting the impact of land use change on regional water conservation function is of great reference significance for carrying out national spatial planning and environmental protection, and realizing land intelligent management. We first analyzed 8,416 remote sensing images in the upper reaches of the Hanjiang River Basin (URHRB) by GEE platform and obtained the land use and land cover (LULC) results of fours periods. Through our field investigation, the accuracy of remote sensing image interpretation is obviously higher than that of other comprehensive LULC classification results. Then, through the coupling of InVEST-PLUS model, not only the results of URHRB water conservation from 1990 to 2020 were calculated and the accuracy was assessed, but also the LULC results and water conservation of URHRB under different development scenarios in 2030 were predicted. The results showed as follows: From 1990 to 2020, the forest area of URHRB increased by 7152.23 km2, while the area of cropland, shrub and grassland decreased by 3220.35 km2, 1414.72 km2 and 3385.39 km2, respectively. The InVEST model reliably quantifies the water yield and water conservation of URHRB. In the past 30 years, the total amount of water-saving in China has shown a trend of increasing first and then decreasing. From the perspective of vegetation types, URHRB forest land is the main body of water conservation, with an average annual water conservation depth of 653.87 mm and an average annual water conservation of 472.10×108 m3. Under the ecological protection scenario of the URHRB in 2030, the maximum water conservation in the basin is 574.92×108 m3, but compared with the water conservation in 2010, there is still a gap of 116.28×108 m3. Therefore, through the visualization analysis of the LULC changes of URHRB and water conservation function, it is found that the land and resources department should pay attention to the LULC changes of water sources and adjust the territorial spatial planning in time to cope with the huge water conservation gap in the future. |
| format | Article |
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| institution | OA Journals |
| issn | 2167-8359 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj-art-03af1fd7c73b4bd08e9d080ec09361342025-08-20T02:03:15ZengPeerJ Inc.PeerJ2167-83592024-11-0112e1844110.7717/peerj.18441Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS modelPengtao Niu0Zhan Wang1Jing Wang2Yi Cao3Peihao Peng4College of Geography and Planning, Chengdu University of Technology, Chengdu, Sichuan, ChinaSchool of Surveying Engineering and Environment, Henan Polytechnic Institute, Nanyang, Henan, ChinaCollege of Geography and Planning, Chengdu University of Technology, Chengdu, Sichuan, ChinaSinopec Northwest China Petroleum Bureau, Urumqi, Xinjiang, ChinaCollege of Geography and Planning, Chengdu University of Technology, Chengdu, Sichuan, ChinaWith the gradual prominence of global water shortage and other problems, evaluating and predicting the impact of land use change on regional water conservation function is of great reference significance for carrying out national spatial planning and environmental protection, and realizing land intelligent management. We first analyzed 8,416 remote sensing images in the upper reaches of the Hanjiang River Basin (URHRB) by GEE platform and obtained the land use and land cover (LULC) results of fours periods. Through our field investigation, the accuracy of remote sensing image interpretation is obviously higher than that of other comprehensive LULC classification results. Then, through the coupling of InVEST-PLUS model, not only the results of URHRB water conservation from 1990 to 2020 were calculated and the accuracy was assessed, but also the LULC results and water conservation of URHRB under different development scenarios in 2030 were predicted. The results showed as follows: From 1990 to 2020, the forest area of URHRB increased by 7152.23 km2, while the area of cropland, shrub and grassland decreased by 3220.35 km2, 1414.72 km2 and 3385.39 km2, respectively. The InVEST model reliably quantifies the water yield and water conservation of URHRB. In the past 30 years, the total amount of water-saving in China has shown a trend of increasing first and then decreasing. From the perspective of vegetation types, URHRB forest land is the main body of water conservation, with an average annual water conservation depth of 653.87 mm and an average annual water conservation of 472.10×108 m3. Under the ecological protection scenario of the URHRB in 2030, the maximum water conservation in the basin is 574.92×108 m3, but compared with the water conservation in 2010, there is still a gap of 116.28×108 m3. Therefore, through the visualization analysis of the LULC changes of URHRB and water conservation function, it is found that the land and resources department should pay attention to the LULC changes of water sources and adjust the territorial spatial planning in time to cope with the huge water conservation gap in the future.https://peerj.com/articles/18441.pdfGEELULCInVESTWater conservationMulti-scenario forecastingPLUS |
| spellingShingle | Pengtao Niu Zhan Wang Jing Wang Yi Cao Peihao Peng Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model PeerJ GEE LULC InVEST Water conservation Multi-scenario forecasting PLUS |
| title | Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model |
| title_full | Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model |
| title_fullStr | Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model |
| title_full_unstemmed | Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model |
| title_short | Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model |
| title_sort | estimation and prediction of water conservation in the upper reaches of the hanjiang river basin based on invest plus model |
| topic | GEE LULC InVEST Water conservation Multi-scenario forecasting PLUS |
| url | https://peerj.com/articles/18441.pdf |
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