scholarly journals A new approach to increase land reclamation rate in coal mining subsidence area: A case study of Guqiao Coal Mine, China

2021 ◽  
Author(s):  
Gensheng LI ◽  
Jianxuan Shang ◽  
Zhenqi Hu ◽  
Dongzhu Yuan ◽  
Pengyu Li ◽  
...  
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Land Reclamation ◽  
Water Area ◽  
Land Area ◽  
Reclaimed Land ◽  
Land Protection ◽  
Mining Areas ◽  
Concurrent Mining And Reclamation ◽  
Coal Mining Subsidence

Underground coal mining will inevitably cause land ponding in high groundwater table, which will affect the land sustainable development. However, the traditional reclamation (TR) is poor in land rate. Thus, finding a suitable reclamation approach is crucial to alleviate the conflicts between coal exploitation and land protection. In this paper, taking Guqiao Coal Mine of China was seriously affected by mining-induced ponding as an example. Firstly, dynamic distribution of surface subsidence and land damage from 2007 to 2017 was revealed base on concurrent mining and reclamation (CMR). Second, the land-water layout of five reclamation schemes (no reclamation, TR, CMR I, CMR II and CMR III) were simulated. Then, and the dynamic filling elevation model and filling thickness model were constructed. Finally, the sequence of earthwork allocation was optimized. The results revealed that: 1) reclaimed land area: CMR III > CMR II > CMR I > TR > no reclamation; 2) The digging depth is directly proportional to earthwork volume and land area, and inversely proportional to water area, but with increase of digging depth, the increase in the reclaimed land area relatively slowed down; 3) CMRs had reclaimed 426.31~637.82 ha and 259.62~471.13 ha more than the no reclamation and TR respectively. Compared with the no reclamation and TR, CMRs can increase the proportion of reclaimed land by 33.77~50.52% and 20.57~37.32% respectively. The research results provide a reference to increase the reclamation rate of mining areas in the high phreatic table.

The Geological Environment Governance of the Coal Gangue and Coal Mining Subsidence Water Area Caused by Mining in Wangzhuang Coal Mine

2014 ◽  
Vol 955-959 ◽  
pp. 1732-1736
Author(s):  
Wen Bo Wang ◽  
Zhen Hong Guo ◽  
Ming Nan Ji ◽  
Jun Long Xue ◽  
Liang Zhang
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Water Area ◽  
Coal Gangue ◽  
Comprehensive Treatment ◽  
Ecological Management ◽  
Engineering Technology ◽  
Subsidence Basin ◽  
Basin Water ◽  
Coal Mining Subsidence

Combining the governance situation of the main coal gangue heap in Shanxi LuAn group, aiming at different geographical conditions and governance effect of subsidence basin water area caused by coal gangue heap and coal mining at WangZhuang coal mine, based on the concept of ecological management in mines, the paper probes into the geological environmental engineering technology of subsidence basin water area caused by coal gangue heap and coal mining. Then the article analyzes the comprehensive benefits and puts forward to the problems existing in the comprehensive treatment engineering of coal gangue heap and the corresponding solutions.

scholarly journals DETECTING THE AREA DAMAGE DUE TO COAL MINING ACTIVITIES USING LANDSAT MULTITEMPORAL (Case Study: Kutai Kartanegara, East Kalimantan)

2018 ◽  
Vol 14 (2) ◽  
pp. 151
Author(s):  
NFn Suwarsono ◽  
Nanik Suryo Haryani ◽  
Indah Prasasti ◽  
Hana Listi Fitriana ◽  
M. Priyatna ◽  
...  
Keyword(s):  
Change Detection ◽  
Coal Mining ◽  
Coal Mine ◽  
Vegetation Index ◽  
Detection Method ◽  
Land Reclamation ◽  
Environmental Damage ◽  
Mining Activities ◽  
Landsat Data ◽  
East Kalimantan

Coal is one of the most mining commodities to date, especially to supply both national and international energy needs. Coal mining activities that are not well managed will have an impact on the occurrence of environmental damage. This research tried to utilize the multitemporal Landsat data to analyze the land damage caused by coal mining activities. The research took place at several coal mine sites in East Kalimantan Province. The method developed in this research is the method of change detection. The study tried to know the land damage caused by mining activities using NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), NDWI (Normalized Difference Water Index) and GEMI (Global Environment Monitoring Index) parameter based change detection method. The results showed that coal mine area along with the damage that occurred in it can be detected from multitemporal Landsat data using NDSI value-based change detection method. The area damage due to coal mining activities  can be classified into high, moderate, and low classes based on the mean and standard deviation of NDSI changes (ΔNDSI). The results of this study are expected to be used to support government efforts and mining managers in post-mining land reclamation activities.

scholarly journals CONCEPTIONS OF LAND RECLAMATION IN THE POLISH OPENCAST MINING

1997 ◽  
Vol 1 ◽  
pp. 26
Author(s):  
Tadeusz Chrzan ◽  
Henryk Greinert
Keyword(s):  
Coal Mining ◽  
Brown Coal ◽  
Agricultural Land ◽  
Land Reclamation ◽  
Surface Mining ◽  
Cultivated Plants ◽  
Opencast Mining ◽  
Direct Introduction ◽  
Mining Areas ◽  
Humus Soil

In the paper the influence of surface mining on the environment is presented. The sizes of mining areas and depression funnels has been shown. Also are presented the amount of cover materials and the quantity of water pumped out from the mines in five regions of brown coal mining in Poland.Various conceptions of land reclamation are discussed, from the method of pioneer vegetation in the years of 1950 - 1970, trough selective excavation of the humus soil in the years 1970 - 1980, to conception of the direct introduction of the final type of vegetation.In the lost part of the paper three models of agricultural land remediation are discussed, as well as the yields of the cultivated plants on recultivated former mining areas.

Geological Environmental Impact Assessment of Mining Subsidence Area Based on Multilayer Fuzzy Synthetic Evaluation

2014 ◽  
Vol 1010-1012 ◽  
pp. 254-258 ◽  
Author(s):  
Jia Xing Xu ◽  
Hua Zhao ◽  
Gang Li
Keyword(s):  
Coal Mining ◽  
Land Reclamation ◽  
Mining Subsidence ◽  
Geological Environment ◽  
Fuzzy Synthetic Evaluation ◽  
Subsidence Area ◽  
Coal Mining Subsidence ◽  
Landscape Ecological ◽  
Different Levels ◽  
Synthetic Evaluation

Multilayer fuzzy synthetic evaluation is an effective method of the qualitative analysis into the quantitative analysis, and can reflect the different levels of objective things factors, avoiding the difficult to assign weights due to excessive factors. Geological environment of Jiawang coal mining subsidence area in Xuzhou was evaluated with an indices system based on multilayer fuzzy synthetic evaluation. Through evaluation, the serious damage region of geological mining of Jiawang mining subsidence area is 1918.966 hm2, and the more serious damage region is 2524.088 hm2, and the less affected area is 1366.971 hm2. The results showed that the geological environment of Jiawang mining subsidence damage is more serious. The farmland was destroyed seriously, and water due to land collapse was quite serious, which was difficult to land reclamation. It is believed that this work may provide scientific reference for land reclamation and landscape ecological restoration of coal mining subsidence area.

Present Situation of Research on Coal Mining Subsidence under Highway in China

2013 ◽  
Vol 664 ◽  
pp. 954-959
Author(s):  
Wei Nan Deng ◽  
Hua Xing Zhang
Keyword(s):  
Coal Mining ◽  
Present Situation ◽  
Mining Subsidence ◽  
Future Research ◽  
Research Directions ◽  
Mining Areas ◽  
Key Points ◽  
Safety Design ◽  
Future Research Directions ◽  
Coal Mining Subsidence

Research on coal mining subsidence under highway can be divided into two fields: research on the problems caused by coal mining under highway and research on the problems caused by highway construction above mined-out area of coal mine.The issues about safety，design and engineering are the key points restricting the safety and the construction of highway in coal mining areas. The paper completely summarized and analysed the present situation of research on coal mining subsidence under highway and the special characteristics comparing with the general building and the railway. In order to ensure the safety of existing highways and highways in planning in coal mining areas, according to the deficiency of current research, this paper put forward the future research directions of coal mining subsidence under highway.

scholarly journals Remote-Sensing Evaluation and Temporal and Spatial Change Detection of Ecological Environment Quality in Coal-Mining Areas

2022 ◽  
Vol 14 (2) ◽  
pp. 345
Author(s):  
Xinran Nie ◽  
Zhenqi Hu ◽  
Mengying Ruan ◽  
Qi Zhu ◽  
Huang Sun
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Large Scale ◽  
Coal Dust ◽  
Ecological Environment ◽  
Ecological Index ◽  
Mining Areas ◽  
Environment Quality ◽  
Temporal And Spatial

The large-scale development and utilization of coal resources have brought great challenges to the ecological environment of coal-mining areas. Therefore, this paper has used scientific and effective methods to monitor and evaluate whether changes in ecological environment quality in coal-mining areas are helpful to alleviate the contradiction between human and nature and realize the sustainable development of such coal-mining areas. Firstly, in order to quantify the degree of coal dust pollution in coal-mining areas, an index-based coal dust index (ICDI) is proposed. Secondly, based on the pressure-state-response (PSR) framework, a new coal-mine ecological index (CMEI) was established by using the principal component analysis (PCA) method. Finally, the coal-mine ecological index (CMEI) was used to evaluate and detect the temporal and spatial changes of the ecological environment quality of the Ningwu Coalfield from 1987 to 2021. The research shows that ICDI has a strong ability to extract coal dust with an overall accuracy of over 96% and a Kappa coefficient of over 0.9. As a normalized difference index, ICDI can better quantify the pollution degree of coal dust. The effectiveness of CMEI was evaluated by four methods: sample image-based, classification-based, correlation-based, and distance-based. From 1987 to 2021, the ecological environment quality of Ningwu Coalfield was improved, and the mean of CMEI increased by 0.1189. The percentages of improvement and degradation of ecological environment quality were 71.85% and 27.01%, respectively. The areas with obvious degradation were mainly concentrated in coal-mining areas and built-up areas. The ecological environment quality of Pingshuo Coal Mine, Shuonan Coal Mine, Xuangang Coal Mine, and Lanxian Coal Mine also showed improvement. The results of Moran’s Index show that CMEI has a strong positive spatial correlation, and its spatial distribution is clustered rather than random. Coal-mining areas and built-up areas showed low–low clustering (LL), while other areas showed high–high clustering (HH). The utilization and popularization of CMEI provides an important reference for decision makers to formulate ecological protection policies and implement regional coordinated development strategies.

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