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受高地下水位影响的采煤区土地利用/土地覆被变化驱动的碳存储动态:以中国兖州煤矿为例。

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.

机构信息

School of Economics and Management, Tianjin Chengjian University, Tianjin, 300384, PR China.

School of Land Science and Technology, China University of Geosciences, Beijing, Beijing, 100083, PR China.

出版信息

Environ Res. 2024 Apr 15;247:118392. doi: 10.1016/j.envres.2024.118392. Epub 2024 Feb 1.

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.

摘要

人为的密集活动导致土地利用/土地覆盖(LULC)发生急剧变化,影响了高地下水位煤田的碳储存。本文以中国山东省的兖州煤田为案例研究区,利用谷歌地球引擎(GEE)对水体进行进一步分类,以更好地调查 1985 年至 2020 年四个时期(即 1985-1995 年、1995-2005 年、2005-2015 年和 2015-2020 年)的 LULC 转化过程及其驱动力。我们利用基于 LULC 及其驱动因素(包括采矿(M)、复垦(R)、城市化和村庄搬迁(U)和生态恢复(E))转化的 INVEST 模型来模拟碳储存的时空动态。结果表明,由于 LULC 的强烈转化,碳储存减少了 19.69%(321099.06 Mg)。耕地面积缩小,建设用地和水体面积扩大,研究区 56.31%的土地在研究期间发生了土地利用转变。U 是碳损失的主要驱动因素,而 E 是碳增益的主要驱动因素。尽管 M 对碳损失的直接影响仅占总损失的 5.23%,但它影响了城市化并导致了村庄搬迁。R 导致了耕地的恢复和水产养殖用水的开垦,从而提高了土地利用效率。然而,它仅占碳储存总增加量的 2.09%。211 个复杂且相互交织的过程驱动了研究区碳储存的变化。这项工作为决策者以及复垦和生态恢复相关人员提供了有价值的信息,以更好地理解碳储存及其影响因素之间的联系。结果可用于将碳封存目标纳入土地管理措施。

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