RSE-based flooding prediction within territories of closed coal mines of Ukraine

遥感学报 Pub Date : 2021-02-09 DOI:10.36023/UJRS.2021.8.1.188

O. Ulytsky, K. Boiko

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引用次数: 2

Abstract

The article highlights the aspects of RSE technologies adaptation during the forward hydrogeological predictions development and for the purposes of the surface flooding zones spreading estimation within coal-mines fields, being flooded. Previously developed numerical geofiltration model allows to return filtration settings of the massif of rocks, that was broken due to coal extraction, and to identify the influence features of the mine workings flooding regime on the general hydrodynamic settings around the flooded mines. As a result of geofiltration modeling the forecast cartographic scheme of groundwater table level position at the final stage of mine workings flooding was obtained. To take into account the influence of surface subsidence over the mine workings on flooding zones distribution, the values of maximum possible vertical surface displacements over the mine workings contours were calculated, based on geological and surveying data. The relief mathematical model was developed with given expected vertical deformations using the GIS-techniques and the original DEM of the territory.The result of the radar satellites images processing is a cartographic model that demonstrates the intensity of uplift movements of the earth surface. Areas of distribution of large-amplitude movements (10-20 mm/year) were determines. As a result, an updated scheme of the forecasted flooded zones was developed.

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乌克兰关闭煤矿区域内基于rse的洪水预测

文章强调了RSE技术在正向水文地质预测开发过程中的适应方面，以及为了地表淹没区在被淹没的煤田内的扩展估计。先前开发的数值地质过滤模型允许返回因煤炭开采而破碎的岩体的过滤设置，并确定矿井工作区水淹状态对水淹矿井周围一般流体动力学设置的影响特征。通过地质过滤建模，得到了矿井注水末期地下水位位置的预测制图方案。为了考虑矿井表面沉降对淹没区分布的影响，根据地质和测量数据计算了矿井轮廓上可能的最大垂直地表位移值。利用GIS技术和该地区的原始DEM，在给定预期垂直变形的情况下开发了地形数学模型。雷达卫星图像处理的结果是一个地图模型，显示了地表隆起运动的强度。确定了大幅度运动（10-20mm/年）的分布区域。因此，制定了预测淹没区的更新方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

遥感学报 Social Sciences-Geography, Planning and Development

CiteScore

3.60

自引率

0.00%

发文量

3200

期刊介绍： The predecessor of Journal of Remote Sensing is Remote Sensing of Environment, which was founded in 1986. It was born in the beginning of China's remote sensing career and is the first remote sensing journal that has grown up with the development of China's remote sensing career. Since its inception, the Journal of Remote Sensing has published a large number of the latest scientific research results in China and the results of nationally-supported research projects in the light of the priorities and needs of China's remote sensing endeavours at different times, playing a great role in the development of remote sensing science and technology and the cultivation of talents in China, and becoming the most influential academic journal in the field of remote sensing and geographic information science in China. As the only national comprehensive academic journal in the field of remote sensing in China, Journal of Remote Sensing is dedicated to reporting the research reports, stage-by-stage research briefs and high-level reviews in the field of remote sensing and its related disciplines with international and domestic advanced level. It focuses on new concepts, results and progress in this field. It covers the basic theories of remote sensing, the development of remote sensing technology and the application of remote sensing in the fields of agriculture, forestry, hydrology, geology, mining, oceanography, mapping and other resource and environmental fields as well as in disaster monitoring, research on geographic information systems (GIS), and the integration of remote sensing with GIS and the Global Navigation Satellite System (GNSS) and its applications.