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基于 GIS 的采矿诱发灾害(土壤、水和森林)建模与评估概述。

An Overview of GIS-Based Modeling and Assessment of Mining-Induced Hazards: Soil, Water, and Forest.

机构信息

Energy Resources Institute, Pukyong National University, Busan 48513, Korea.

Research Institute of Energy Resources, Seoul National University, Seoul 08826, Korea.

出版信息

Int J Environ Res Public Health. 2017 Nov 27;14(12):1463. doi: 10.3390/ijerph14121463.

DOI:10.3390/ijerph14121463
PMID:29186922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5750882/
Abstract

In this study, current geographic information system (GIS)-based methods and their application for the modeling and assessment of mining-induced hazards were reviewed. Various types of mining-induced hazard, including soil contamination, soil erosion, water pollution, and deforestation were considered in the discussion of the strength and role of GIS as a viable problem-solving tool in relation to mining-induced hazards. The various types of mining-induced hazard were classified into two or three subtopics according to the steps involved in the reclamation procedure, or elements of the hazard of interest. Because GIS is appropriated for the handling of geospatial data in relation to mining-induced hazards, the application and feasibility of exploiting GIS-based modeling and assessment of mining-induced hazards within the mining industry could be expanded further.

摘要

本研究回顾了当前基于地理信息系统(GIS)的方法及其在矿山诱发灾害建模和评估中的应用。在讨论 GIS 作为一种可行的解决矿山诱发灾害问题的工具的优势和作用时,考虑了各种类型的矿山诱发灾害,包括土壤污染、土壤侵蚀、水污染和森林砍伐。根据复垦程序所涉及的步骤或感兴趣的灾害要素,将各种类型的矿山诱发灾害分为两个或三个子主题。由于 GIS 适合处理与矿山诱发灾害相关的地理空间数据,因此可以进一步扩展在采矿业中利用基于 GIS 的矿山诱发灾害建模和评估的应用和可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/264eb56a5709/ijerph-14-01463-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/ba840e1edba7/ijerph-14-01463-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/b3caf1070f42/ijerph-14-01463-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/93bfd120942e/ijerph-14-01463-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/a87fe5f736bd/ijerph-14-01463-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/46bef0b40512/ijerph-14-01463-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/ee825156ca89/ijerph-14-01463-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/810f5873bed2/ijerph-14-01463-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/264eb56a5709/ijerph-14-01463-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/ba840e1edba7/ijerph-14-01463-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/b3caf1070f42/ijerph-14-01463-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/93bfd120942e/ijerph-14-01463-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/a87fe5f736bd/ijerph-14-01463-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/46bef0b40512/ijerph-14-01463-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/ee825156ca89/ijerph-14-01463-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/810f5873bed2/ijerph-14-01463-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/329a/5750882/264eb56a5709/ijerph-14-01463-g008.jpg

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