Your browser doesn't support javascript.
loading
Dynamics of carbon storage driven by land use/land cover transformation in coal mining areas with a high groundwater table: A case study of Yanzhou Coal Mine, China.
Fu, Yanhua; He, Yanan; Chen, Wenqi; Xiao, Wu; Ren, He; Shi, Yichen; Hu, Zhenqi.
Affiliation
  • Fu Y; School of Economics and Management, Tianjin Chengjian University, Tianjin, 300384, PR China. Electronic address: fuyanhua@tcu.edu.cn.
  • He Y; School of Land Science and Technology, China University of Geosciences, Beijing, Beijing, 100083, PR China. Electronic address: heyanan2222@163.com.
  • Chen W; School of Public Affairs, Zhejiang University, Hangzhou, 310058, PR China. Electronic address: 12122007@zju.edu.cn.
  • Xiao W; School of Public Affairs, Zhejiang University, Hangzhou, 310058, PR China. Electronic address: xiaowuwx@126.com.
  • Ren H; Academy of Eco-civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin, 300387, PR China. Electronic address: renhe9563@163.com.
  • Shi Y; Envirogene Technology (Tianjin) Co., Ltd, Tianjin, 300380, PR China. Electronic address: 1752113430@qq.com.
  • Hu Z; School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, PR China. Electronic address: huzq1963@163.com.
Environ Res ; 247: 118392, 2024 Apr 15.
Article in En | MEDLINE | ID: mdl-38307178
ABSTRACT
Intensive anthropogenic activities have led to drastic changes in land use/land cover (LULC) and impacted the carbon storage in high-groundwater coal basins. In this paper, we conduct a case study on the Yanzhou Coalfield in Shandong Province of China. We further classify waterbodies by using the Google Earth Engine (GEE) to better investigate the process of LULC transformation and the forces driving it in four periods from 1985 to 2020 (i.e., 1985-1995, 1995-2005, 2005-2015, and 2015-2020). We modeled the spatiotemporal dynamics of carbon storage by using InVEST based on the transformation in LULC and its drivers, including mining (M), reclamation (R), urbanization and village relocation (U), and ecological restoration (E). The results indicate that carbon storage had depleted by 19.69 % (321099.06 Mg) owing to intensive transformations in LULC. The area of cropland shrank with the expansion of built-up land and waterbodies, and 56.31 % of the study area underwent transitions in land use in the study period. U was the primary driver of carbon loss while E was the leading driver of carbon gain. While the direct impact of M on carbon loss accounted for only 5.23 % of the total, it affected urbanization and led to village relocation. R led to the recovery of cropland and the reclamation of water for aquaculture, which in turn improved the efficiency of land use. However, it contributed only 2.09 % to the total increase in carbon storage. Numerous complicated and intertwined processes (211) drove the changes in carbon storage in the study area. The work here provides valuable information for decision-makers as well as people involved in reclamation and ecological restoration to better understand the link between carbon storage and the forces influencing it. The results can be used to integrate the goals of carbon sequestration into measures for land management.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Coal Mining Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Environ Res Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Coal Mining Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Environ Res Year: 2024 Type: Article