School of Environment and Spatial Informatics, China University of Mining and Technology
Engineering Research Center ofMine Ecological Restoration, Ministry of Education
Ningxia Coal Industry Co., Ltd. of CHN ENERGY
School of Public Policy and Management, China University of Mining and Technology

我国是世界最大的煤炭生产国和消费国,开采历史悠久,在许多煤炭产区逐渐形成采选、发电、化工等涉煤产业集聚区。随着涉煤产业快速发展,涉煤场地扩张以及煤基固废排放等造成的土地退化、土壤污染等问题日益严峻,涉煤场地类型识别与分区管控策略的提出是实现区域能源资源-低碳发展-生态保护的关键。研究以宁东煤电基地涉煤产业区为对象:确定宁东煤电基地涉煤产业区特征地物的信息特征与解译标识,提出区域尺度与场地尺度的特征地物提取指标体系,包括煤炭场地、煤电场地、煤化工场地等;基于Landsat遥感影像进行区域尺度场地类型识别,采用土地利用动态度和土地利用转移矩阵分析涉煤产业区时空演变及差异性,2003—2023年煤电场地从无到有、煤炭场地增加了10.68%、煤化工场地则增加了26.33%,宁东煤电基地涉煤产业区煤电化场地呈迅速扩张趋势;基于2023年10m分辨率的Sentinel-2遥感影像进行场地尺度格局分析,得出2023年煤炭场地68.38km2、占比6.88%,空间分布呈现随机性;煤化工场地49.03km2、占比4.93%,呈现显著空间聚集;煤电场地24.28km2、占比2.44%,空间分布相对集中;采用DP-SIR(Driving-Pressure-State-Impact-Response)模型进行生态风险综合评估,涉煤产业区生态风险指数平均为0.602、风险较低,2003—2023年矿区生态风险下降65.66%,生态管控向好趋势明显。提出5种分区管控模式,即生活聚集区、生态维护区、生产监测预警区、损毁修复重建区、其他调控区的分区管控策略。研究为宁东涉煤产业区煤电化场地特征识别提供理论方法支持和基础数据,对煤电化场地治理及区域生态修复具有重要意义。

China is the world's largest producer and consumer of coal, with a long history of extraction. Many coal-produ-cing regions have developed clusters of coal-related industries. With the rapid development of the coal related industry,land degradation and soil pollution caused by the expansion of coal related sites and the discharge of coal based solidwaste have become increasingly severe. The proposal of identification and zoning control strategies for coal related sitetypes is the key to achieving regional energy resources, low-carbon development, and ecological protection. The studytakes the coal-related industrial area of Ningdong Coal Electricity Base as the object: Determine the information character-istics and deciphering identifiers of featured features in Ningdong Coal Electricity Base coal-related industrial area, andput forward the index system for extracting featured features at the regional scale and site scale, including coal sites, coalpower sites, coal chemical sites, ect. At the regional scale, site type identification was conducted using Landsat remotesensing imagery. The analysis of land use dynamics and land use transition matrices was employed to examine the spati-otemporal evolution and differences in coal-related industrial areas. From 2003 to 2023, coal power sites emerged fromnon-existence, with coal mining sites increasing by 10.68% and coal chemical industry sites by 26.33%. The coal-electri-city integration area in the Ningdong Coal Electricity Base coal-related industrial area exhibits a rapid expansion trend. Atthe site scale, pattern analysis was conducted using Sentinel-2 remote sensing imagery with a resolution of 10 meters forthe year 2023. The analysis revealed that coal mining sites covered an area of 68.38 km², accounting for 6.88% of the totalarea, exhibiting a random spatial distribution. In contrast, coal chemical industry sites spanned 49.03 km², representing4.93%, and demonstrated significant spatial aggregation. Coal power sites occupied 24.28 km², making up 2.44%, with arelatively concentrated spatial distribution. Used the DPSIR (Driving-Pressure-State-Impact-Response) model, a compre-hensive ecological risk assessment was conducted for coal-related industrial areas. The average ecological risk index forthese areas was 0.602, indicating a low level of risk, with a 65.66% reduction in risk from 2003 to 2023, reflecting a posit-ive trend in ecological management. Five zoning control models were proposed: “dynamic restoration” modes for residen-tial aggregation areas, ecological maintenance areas, production monitoring and early warning areas, damage restorationand reconstruction areas, and other regulatory areas. This research provides theoretical and methodological support, aswell as foundational data, for the identification of characteristics in coal-electricity integration sites in the Ningdong CoalElectricity Base coal-related industrial zone, which is significant for the governance of coal-electricity integration sites andregional ecological restoration.

国家能源集团宁夏煤业有限责任公司企业项目资助([2023]016)

冯晓彤,冯建权,石智宇,等.宁东涉煤产业区煤电化场地特征与分区管控[J].绿色矿山,2024,2(4):408−423.

FENG Xiaotong,FENG Jianquan,SHI Zhiyu,et al. Characteristics and zoning control of coal-electricity sitesin the Ningdong coal-related industrial zone[J]. Journal of Green Mine,2024,2(4):408−423.