Assessment of the potential for restoration of the environmental state of the natural ecosystems disturbed by development of geo-resources based on satellite data

S. Ostapenko, S. Mesyats
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Abstract

The factors of environmental state restoration of the natural ecosystems disturbed as the result of mining mineral deposits were investigated using the case study of the phytocenosis formed on the enclosing dam of the apatite-nepheline ore processing waste storage in the Khibiny group of deposits according to the technology developed in the Mining Institute of the Kola Scientific Center of the Russian Academy of Sciences for the restoration of disturbed lands through creation of a biologically active environment without deposition of a fertile layer. Based on the data of satellite observations of the monitoring sites during the vegetation period, the impact of relief as well as the heat and moisture availability on the state of the emerging vegetation cover was studied using gradient transects of different exposures along the height of the enclosing dam slope. The spatial resolution of the satellite images was harmonized using the enhanced pan-sharpening procedure with the minimum characteristic size of the dam slope elements and the representativeness of the data obtained when assessing the vegetation cover condition using the vegetation index and the moisture stress index was ensured. Generalization was made of the relationship between the parameters characterizing the vegetation cover state and abiotic factors of its formation using a neural network model. Two artificial neural networks were trained to predict the vegetation and the plant moisture stress indices using the data set obtained from processing of visible, infrared and thermal spectral channels of satellite images of the monitoring sites. The neural network model shows that the vegetation index of the emerging vegetation cover is antibate to the plant moisture stress index - the dominant factor in restoration of the environmental state of the investigated site, and to the surface temperature of the enclosing dam of the tailing dump. Dependence of the predicted moisture stress of the phytocenosis formed ontop the enclosing dam slope on the elevation and exposure was used to assess the potential of its restoration to the forest succession stage corresponding to the phytocenosis of the surrounding natural environment. Zoning of the tailing dump according to the potential for restoration of the environmental state was performed in order to support the decision-making process when planning environmental protection measures.
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根据卫星数据评估受地质资源开发影响的自然生态系统的环境恢复潜力
根据俄罗斯科学院科拉科学中心矿业研究所开发的技术,通过在不沉积肥沃层的情况下创造生 物活性环境来恢复受干扰土地,通过对 Khibiny 矿床群磷灰石-霞石矿石加工废料贮存围坝上 形成的植物群落进行案例研究,对因开采矿床而受干扰的自然生态系统的环境状态恢复因素 进行了调查。根据植被期对监测点的卫星观测数据,利用沿围坝斜坡高度的不同暴露程度的梯度横断面,研究了地势以及热量和水分供应对新植被覆盖状况的影响。卫星图像的空间分辨率通过增强的平移锐化程序与坝坡要素的最小特征尺寸进行了协调,在使用植被指数和水分压力指数评估植被覆盖状况时,确保了所获数据的代表性。利用神经网络模型对表征植被覆盖状态的参数与其形成的非生物因素之间的关系进行了归纳。利用对监测点卫星图像的可见光、红外和热光谱通道进行处理后获得的数据集,对两个人工神经网络进行了训练,以预测植被指数和植物水分胁迫指数。神经网络模型显示,新植被覆盖的植被指数与植物水分胁迫指数(恢复调查地点环境状况的主要因素)以及尾矿堆场围坝的表面温度相关。围坝斜坡上形成的植物群落的预测湿度压力与海拔和暴露程度的关系被用来评估其恢复到与周围自然环境植物群落相应的森林演替阶段的潜力。根据环境状态的恢复潜力对尾矿堆进行分区,以便在规划环境保护措施时为决策过程提供支持。
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