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首页> 外文期刊>The Science of the Total Environment >Assessing vegetation recovery in reclaimed opencast mines of the Teruel coalfield (Spain) using Landsat time series and boosted regression trees
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Assessing vegetation recovery in reclaimed opencast mines of the Teruel coalfield (Spain) using Landsat time series and boosted regression trees

机译:使用Landsat时间序列和增强回归树评估特鲁埃尔煤田(西班牙)的露天矿的植被恢复

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摘要

Opencast mining is an activity that caters to many economic sectors; however, it has a large impact on society and the environment. After mining, the major concern is to restore the previous land cover, which was generally a natural vegetation cover. Establishing permanent vegetation cover can restore landscape connectivity and previous ecosystem functions, enhance aesthetic values and prevent off-side effects associated with post-mining landscapes. Opencast mining reclamation deals with these issues with several strategies that aim to develop a vegetation cover after mining activity has stopped. However, not all reclamation actions are effective, and assessing their efficiency by monitoring vegetation development at reclaimed sites is a time-consuming task because it usually involves extensive field work. In this study, we present a semi-automatic approach based on analysing satellite data (Landsat) time series and using a machine learning technique to identify suitable conditions for vegetation development at reclaimed opencast mines. We analysed the Teruel coalfield (Aragon, central-eastern Spain). This area is a representative Mediterranean-Continental region that is of particular interest due the diversity of reclamation actions that have been applied and the increase in drier conditions during the last decades. Conditions were described with topography derived variables, technical reclamation features and drought-occurrence variables as potential explanatory factors. The implemented approach allowed us to identify the main abiotic filters for vegetation of this geographic region: the water availability and soil retention (both controlled by the topographic slope), and the proximity to seed sources. The analysis evidenced the negative influence of drought occurrence on vegetation development, and different responses were found depending on the timescale at which drought is calculated. Our results indicate that the reclamation landform model is the main key factor influencing vegetation development. A model such as the smooth berm-slope increases water availability and controls soil erosion, and hence, improves vegetation development. In addition, we found that further than 500-600 m from the mine, the effect of seed source declines dramatically. Therefore, all these issues should be considered in future reclamation designs in a Mediterranean-Continental environment. Our methodology could be adapted to other geographic regions where spatial environmental data are available.
机译:露天采矿是一项针对许多经济部门的活动。但是,它对社会和环境有很大的影响。开采后,主要的问题是恢复以前的土地覆被,该土地覆被通常是天然植被。建立永久性的植被覆盖层可以恢复景观的连通性和以前的生态系统功能,增强美学价值并防止与采后景观相关的不利影响。露天采矿开垦以几种策略处理这些问题,旨在在采矿活动停止后发展植被覆盖。然而,并非所有的填海行动都是有效的,并且通过监视填海场的植被发育来评估其效率是一项耗时的工作,因为它通常涉及大量的野外工作。在这项研究中,我们提出了一种基于卫星数据(Landsat)时间序列的半自动方法,并使用机器学习技术来确定露天矿开采植被的合适条件。我们分析了特鲁埃尔(Teruel)煤田(阿拉贡,西班牙中东部)。由于过去几十年中已采取的开垦行动的多样性和干燥条件的增加,该地区是地中海沿岸地区的代表,这一地区特别受关注。用地形派生变量,技术开垦特征和干旱发生变量作为潜在的解释因素来描述条件。实施的方法使我们能够确定该地理区域植被的主要非生物过滤器:水的可利用性和土壤保持力(均由地形坡度控制)以及与种子源的接近性。分析表明干旱对植被发育有负面影响,根据计算干旱的时间尺度,发现了不同的响应。我们的结果表明,开垦地貌模型是影响植被发育的主要关键因素。诸如光滑的斜坡坡度之类的模型可增加水的可利用性并控制土壤侵蚀,从而改善植被发育。此外,我们发现距矿井500-600 m以外的地方,种子源的影响急剧下降。因此,在地中海-大陆环境下的未来填海设计中应考虑所有这些问题。我们的方法可以适用于可获得空间环境数据的其他地理区域。

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