Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area

Mining activities and urbanisation in high dive mining areas can lead to significant changes in land use types, which in turn affect the carbon sequestration capacity of mining areas. Based on the land use data of Panxie mining area from 2002 to 2021, and used the FLUS (Future Land Use Simulation) m...

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Main Authors: Liangji XU, Zhendong HE, Xiaopeng LIU, Kun ZHANG, Manyi WU
Format: Article
Language:zho
Published: Editorial Department of Coal Science and Technology 2024-01-01
Series:Meitan kexue jishu
Subjects:
Online Access:http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-0439
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author Liangji XU
Zhendong HE
Xiaopeng LIU
Kun ZHANG
Manyi WU
author_facet Liangji XU
Zhendong HE
Xiaopeng LIU
Kun ZHANG
Manyi WU
author_sort Liangji XU
collection DOAJ
description Mining activities and urbanisation in high dive mining areas can lead to significant changes in land use types, which in turn affect the carbon sequestration capacity of mining areas. Based on the land use data of Panxie mining area from 2002 to 2021, and used the FLUS (Future Land Use Simulation) model to predict land use changes in 2028 under two scenarios: natural development and ecological conservation, using mining, socio-economic and climatic data as drivers, and then The historical carbon stocks in the Panshet mine area from 2002 to 2021 and the future carbon stocks in 2028 under different scenarios were calculated by combining the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model, and the spatial and temporal characteristics of the carbon stocks in the Panxie mine area were analysed. The spatial and temporal variability of carbon stocks in the Panxie mine was also analysed. The results show that: ① from 2002 to 2021, land use changes in the Panxai mining area show a continuous decrease in arable land and a continuous increase in wetland and building land, with a decrease of 147.93 km2 in arable land and an increase of 71.01 km2 and 75.76 km2 in wetland and building land, respectively. during this period, the carbon stock in the Panxai mining area decreases from 1.62×105 t, a decrease of 3.83%, with the fastest decrease in carbon reserves from 2018 to 2021. ② The predicted results show that the land use changes in the study area under both scenarios in 2028 are a continuous increase in wetlands and building land, and a continuous decrease in arable land. However, compared to the natural development scenario, the ecological conservation scenario protects and increases the area of arable land in the mine area, while the growth of wetlands and building land slows down. Compared with 2021, the carbon stock in the natural development scenario decreases by 0.74×105 t and the ecological conservation scenario decreases by 0.53×105 t. The results of the study indicate that the decrease in arable land due to sinking water and the expansion of construction land is the main reason for the decrease in carbon stock due to the influence of coal mining subsidence and urban development, and that the adoption of ecological conservation measures can slow down the decrease in carbon stock to a certain extent. Ecological conservation measures can slow down the decline of carbon stocks to a certain extent.
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spelling doaj.art-a362202e4c9a4fcead56020d9799f27a2024-03-14T03:50:44ZzhoEditorial Department of Coal Science and TechnologyMeitan kexue jishu0253-23362024-01-0152135536510.12438/cst.2023-04392023-0439Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining areaLiangji XU0Zhendong HE1Xiaopeng LIU2Kun ZHANG3Manyi WU4State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaMining activities and urbanisation in high dive mining areas can lead to significant changes in land use types, which in turn affect the carbon sequestration capacity of mining areas. Based on the land use data of Panxie mining area from 2002 to 2021, and used the FLUS (Future Land Use Simulation) model to predict land use changes in 2028 under two scenarios: natural development and ecological conservation, using mining, socio-economic and climatic data as drivers, and then The historical carbon stocks in the Panshet mine area from 2002 to 2021 and the future carbon stocks in 2028 under different scenarios were calculated by combining the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model, and the spatial and temporal characteristics of the carbon stocks in the Panxie mine area were analysed. The spatial and temporal variability of carbon stocks in the Panxie mine was also analysed. The results show that: ① from 2002 to 2021, land use changes in the Panxai mining area show a continuous decrease in arable land and a continuous increase in wetland and building land, with a decrease of 147.93 km2 in arable land and an increase of 71.01 km2 and 75.76 km2 in wetland and building land, respectively. during this period, the carbon stock in the Panxai mining area decreases from 1.62×105 t, a decrease of 3.83%, with the fastest decrease in carbon reserves from 2018 to 2021. ② The predicted results show that the land use changes in the study area under both scenarios in 2028 are a continuous increase in wetlands and building land, and a continuous decrease in arable land. However, compared to the natural development scenario, the ecological conservation scenario protects and increases the area of arable land in the mine area, while the growth of wetlands and building land slows down. Compared with 2021, the carbon stock in the natural development scenario decreases by 0.74×105 t and the ecological conservation scenario decreases by 0.53×105 t. The results of the study indicate that the decrease in arable land due to sinking water and the expansion of construction land is the main reason for the decrease in carbon stock due to the influence of coal mining subsidence and urban development, and that the adoption of ecological conservation measures can slow down the decrease in carbon stock to a certain extent. Ecological conservation measures can slow down the decline of carbon stocks to a certain extent.http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-0439high groundwater level mining arealand use changeflus modelinvest modelcarbon storage
spellingShingle Liangji XU
Zhendong HE
Xiaopeng LIU
Kun ZHANG
Manyi WU
Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
Meitan kexue jishu
high groundwater level mining area
land use change
flus model
invest model
carbon storage
title Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
title_full Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
title_fullStr Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
title_full_unstemmed Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
title_short Spatio-temporal variation and prediction of land use and carbon storage in high groundwater level mining area
title_sort spatio temporal variation and prediction of land use and carbon storage in high groundwater level mining area
topic high groundwater level mining area
land use change
flus model
invest model
carbon storage
url http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-0439
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AT zhendonghe spatiotemporalvariationandpredictionoflanduseandcarbonstorageinhighgroundwaterlevelminingarea
AT xiaopengliu spatiotemporalvariationandpredictionoflanduseandcarbonstorageinhighgroundwaterlevelminingarea
AT kunzhang spatiotemporalvariationandpredictionoflanduseandcarbonstorageinhighgroundwaterlevelminingarea
AT manyiwu spatiotemporalvariationandpredictionoflanduseandcarbonstorageinhighgroundwaterlevelminingarea