Construction of investigation and monitoring system of coal mining subsidence area based on multi-source data in Shanxi province

doi:10.13474/j.cnki.11-2246.2022.0245

Abstract

Abstract: In order to help improve the supervision system of natural resources, fulfill the requirements of ecological civilization construction, and provide high-quality and efficient land use guarantee services, the investigation and monitoring of coal mining subsidence area is of great significance. Based on multi-source remote sensing data, combining traditional measurement technology and modern remote sensing technology, this paper constructs the investigation and monitoring system of coal mining subsidence area in Shanxi province. The results show that the distribution of coal mining subsidence area in Shanxi province is basically found out, and its total area is 6500km², which is highly overlapped with the distribution of mining area and mined-out area in Shanxi province; and the land use is mainly forest land, cultivated land and grassland; and most of the land damage is light or moderate. 1221 villages which are affected by coal mining subsidence will be relocated, but more than 400 villages are not relocated.

Key words: mining subsidence area, investigation and monitoring, InSAR technology, land use, land destruction

CLC Number:

P237

DU Yuhe, YANG Wenfu. Construction of investigation and monitoring system of coal mining subsidence area based on multi-source data in Shanxi province[J]. Bulletin of Surveying and Mapping, 2022, 0(8): 133-138.

References

[1] 李文华.《中国自然资源通典》介绍[J].自然资源学报,2016,31(11): 1969-1970.
[2] 郝晓阳,杨文府,任斗金,等.山西省采煤沉陷监测治理综合技术研究与应用[J].中国煤炭地质,2020,32(9): 133-141.
[3] 方先知.湖南省矿山地质环境问题成因分析[J].国土资源导刊,2005,2(4): 5-8.
[4] 唐孝辉.山西采煤沉陷区现状、危害及治理[J].生态经济,2016,32(2): 6-9.
[5] CHI Shenshen,WANG Lei,YU Xuexiang,et al.Research on prediction model of mining subsidence in thick unconsolidated layer mining area[J].IEEE Access,2021,9: 23996-24010.
[6] 吴立新,高均海,葛大庆,等.基于D-InSAR的煤矿区开采沉陷遥感监测技术分析[J].地理与地理信息科学,2004,20(2): 22-25.
[7] 张曦.基于无人机摄影测量技术的矿区沉陷监测方法研究[D].邯郸: 河北工程大学,2019.
[8] 刘胜男,陶钧,卢银宏.地面沉降监测多源数据融合分析[J].测绘通报,2020(12): 46-49.
[9] 姚亚辉,张超,孙莹洁,等.基于InSAR监测采煤沉陷区形变特征[J].煤炭技术,2019,38(1): 16-19.
[10] 李映辰,柯樱海,宫辉力,等.DEM对PS-InSAR地面沉降监测的影响[J].测绘科学,2018,43(1): 124-134.
[11] 曹发伟,廖维谷.SBAS技术在矿区地面沉降监测中的应用[J].测绘通报,2021(3): 156-158.
[12] 刘斌,葛大庆,李曼,等.地基InSAR技术及其典型边坡监测应用[J].中国地质调查,2018,5(1): 73-81.
[13] 朱建军,杨泽发,李志伟.InSAR矿区地表三维形变监测与预计研究进展[J].测绘学报,2019,48(2): 135-144.
[14] 高明亮,宫辉力,陈蓓蓓,等.基于InSAR技术的地表三维形变获取方法综述[J].测绘通报,2017(1): 1-4.
[15] 魏长婧,汪云甲,王坚,等.无人机影像提取矿区地裂缝信息技术研究[J].金属矿山,2012(10): 90-92.
[16] 杨文府,王冠杰,李国锋,等.针对无人机倾斜摄影数据的不同处理软件空三加密[J].测绘通报,2020(8): 96-100.
[17] 自然资源部.自然资源部关于印发《自然资源调查监测体系构建总体方案》的通知自然资发[2020]15号[J].自然资源通讯,2020(2): 13-22.
[18] 王帅红,孙泰森,周伟,等.黄土丘陵沟壑区煤矿沉陷耕地复垦[J].农业工程学报,2011,27(9): 299-304.
[19] 中华人民共和国国土资源部.土地复垦方案编制规程第3部分:井工煤矿:TD/T 1031.3—2011[S].北京: 中国标准出版社,2011.