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Understanding post-mining landforms: Utilising pre-mine geomorphology to improve rehabilitation outcomes

机译:了解采矿后的地貌:利用矿山前的地貌学来改善恢复成果

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Post-mining landscapes are required to geomorphically and ecologically integrate with the surrounding undisturbed environment. To understand the pre- and post-mining landscape, models can be used to guide rehabilitation strategies. This is particularly important where an absence exists of pre-mine (predisturbance) data regarding the landscape system. In particular, geomorphic evolution may be simulated with tools such as land form evolution models (LEMs). In this study, we use the CAESAR-Lisflood LEM to assess how a pre-mine landscape may evolve over 1000 years and compare it to the evolution of a catchment representing a rehabilitated post-mining landscape. Environmental conditions such as rainfall, vegetation cover, and surface particle size characteristics were varied through a series of model simulations to determine their impact on the different land forms. We compared the outputs of the model simulations - specifically, sediment loads, denudation rates, and extent, depth, and distribution of gullies - from the undisturbed, pre-mine landform and the disturbed, post mine landform. Under all scenarios simulated, much greater erosion occurred on the post-mine landform, producing sediment yields and denudation rates that were higher than the undisturbed pre-mine landform by up to an order of magnitude. The results showed that the presence/absence of vegetation and variations in rainfall amount and intensity could influence erosion rates, sediment yields, and gully depths between the two primary scenarios. However, the parameters that most influenced landscape evolution over centennial time scales were the particle size classes used to represent the surface conditions in the simulations, and the topographic characteristics of the catchments on the pre- and post-mine landforms. The model outputs reinforce the expectation that a pre-mining landscape will experience less erosion and sediment transport than a post-mining landscape. Crown Copyright (C) 2018 Published by Elsevier B.V. All rights reserved.
机译:采矿后的景观需要与周围不受干扰的环境进行地貌和生态整合。为了了解采矿前后的情况,可以使用模型来指导康复策略。在缺少有关景观系统的预开采(预扰动)数据的情况下,这一点尤其重要。特别是,可以使用诸如地貌演化模型(LEM)之类的工具来模拟地貌演化。在这项研究中,我们使用CAESAR-Lisflood LEM评估了1000年前的矿山前地貌如何演变,并将其与代表恢复后的矿山地貌的集水区的演变进行了比较。通过一系列模型模拟来确定诸如降雨,植被覆盖和表面粒径特征等环境条件,以确定其对不同土地形态的影响。我们比较了模型模拟的输出,特别是来自未扰动的矿山前地貌和受干扰的矿山后地貌的沉积物负荷,剥蚀率以及范围,深度和沟壑分布。在所有模拟的情况下,矿山后的地形发生的侵蚀要大得多,产生的泥沙产量和剥蚀率比未受干扰的矿山前的地形高出一个数量级。结果表明,两种主要情景之间植被的存在与否以及降雨量和强度的变化都可能影响侵蚀率,沉积物产量和沟渠深度。但是,对百年时间尺度上的景观演变影响最大的参数是用于表示模拟中的地表条件的粒度类别,以及矿山开采前和开采后地形的集水区地形特征。该模型的输出强化了以下期望:采前景观将比采后景观遭受更少的侵蚀和泥沙输送。官方版权(C)2018,由Elsevier B.V.保留所有权利。

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