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基于压力−状态−响应模型和多源遥感数据的矿区生态风险评价以高头窑煤矿为例

Ecological risk assessment of mining area based on pressure-state-response model and multi-source remote sensing data: A case study of Gaotouyao Coal Mining area

  • 摘要: 矿区生态风险评价旨在评估矿区生产活动对矿区生态系统产生不利影响的可能性及其强度。该评价对于环境问题预测、预防、生态保护策略制定及矿业可持续发展至关重要。现有相关研究所构建的评价指标体系指标获取困难,不利于动态或实时风险评价。本研究以高头窑煤矿为例,采用“压力−状态−响应”模型和多源遥感解译方法,建立了一种矿区生态风险评价框架,其中压力指数包括距采空区距离、沟壑密度等,状态指数包括生态质量、结构和服务功能等,响应指数包括土地复垦规划分布。结果表明,评价层权重为压力0.68、状态0.2、响应0.12,压力指标为主导;实现了10 m分辨率的高头窑矿区生态风险评价,评价结果表明宏观上中部生态风险较高,矿区周边生态风险较低;与单一指标综合比较、与未开采时期的生态服务功能比较以及与实地调查数据比较表明,评价结果与实际情况具有较高的一致性。研究发展的技术框架有助于矿区生态风险的动态或实时评估。

     

    Abstract: The ecological risk assessment of mining areas aims to evaluate the likelihood and intensity of adverse effects of mining activities on the ecosystem of the mining area. This assessment is crucial for predicting environmental issues, prevention, formulating ecological protection strategies, and sustainable development of the mining industry. The existing research has constructed an evaluation index system that is difficult to obtain indicators, which is not conducive to dynamic or real-time risk assessment. This study takes the Gaotouyao mining area as an example, adopts the “Pressure-State-Response” model and multi-source remote sensing interpretation methods to establish an ecological risk assessment framework for mining areas. The pressure index includes distance to goaf, gully density, etc., the state index includes ecological quality, structure, and service functions, etc., and the response index includes the distribution of land reclamation planning. The results show that: The weight of the evaluation layer is pressure 0.68, state 0.2, response 0.12, with pressure indicators being dominant; A 10 m resolution ecological risk assessment of the Gaotouyao mining area has been achieved, and the assessment results indicate that the ecological risk is higher in the central part macroscopically and lower in the surrounding areas of the mining area; Compared with a single indicator synthesis, compared with the ecological service functions of the unmined period, and compared with field survey data, the evaluation results of this paper are highly consistent with the actual situation. The technical framework developed in this paper contributes to the dynamic or real-time assessment of ecological risks in mining areas.

     

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