Positive convergence effects of subsidence basins on precipitable water vapor in semi-arid underground mining areas

doi:10.6046/zrzyyg.2024118

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Abstract

The positive effects generated by large-scale underground mining in China's western semi-arid region have attracted increasing attention in recent years. Accurately understanding and scientifically utilizing these positive effects in mines plays a significant role in saving ecological restoration costs for mines. To reveal the perturbation characteristics of subsidence basins on precipitable water vapor (PWV), this study investigated the Daliuta mine in the Shendong mining area. Based on the simulation results of the atmospheric radiative transfer model and the ground-based GPS real-time observation data, this study constructed a water vapor inversion model using Sentinel-2 satellite images, obtaining the near-surface PWV content from 2017 to 2021 in the Daliuta mine. Furthermore, this study analyzed the near-surface PWV distributions in the single-mining-face subsidence basin and the mining-face-group subsidence area. By deploying HOBO temperature and humidity sensors on site, this study comparatively analyzed the near-surface relative humidity inside and outside the subsidence basin. The results indicate that subsidence basins showed positive convergence effects on PWV. Specifically, the near-surface PWV in the single-mining-face subsidence basin decreased gradually from the inside to the outside of the basin. The near-surface PWV in the mining-face-group subsidence area was significantly improved after mining. The relative humidity was significantly higher inside the subsidence basin compared to the outside. The differences in relative humidity in the vertical direction from the surface were 14.52, 13.53, 12.43, 10.60, and 10.33 percentege point, respectively, indicating gradually weakening water vapor convergence effects in the subsidence basin with an increase in elevation. The water vapor convergence effects were significant at nighttime but nonsignificant at daytime. Finally, based on vegetation surveys and previous studies, this study proposed a conceptual model for water vapor convergence effects in subsidence basins to explain the mechanism governing water vapor convergence. Additionally, subsidence basins somewhat contribute to the benign cycle of ecosystems in semi-arid mining areas.

Keywords mining subsidence positive environmental effect of a mine precipitable water vapor (PWV) content mining face conceptual model

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TP79

Issue Date: 03 September 2025

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	Yating DUAN
	Shaogang LEI
	Yuanyuan LI
	Guoqing ZHU
	Liang WANG

Cite this article:

Yating DUAN,Shaogang LEI,Yuanyuan LI, et al. Positive convergence effects of subsidence basins on precipitable water vapor in semi-arid underground mining areas[J]. Remote Sensing for Natural Resources, 2025, 37(4): 131-139.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2024118 OR https://www.gtzyyg.com/EN/Y2025/V37/I4/131

Fig.1 Overview of the study area

Fig.2 Relationship between PWV and transmittance

Fig.3 Sensor deployment locations and site photos

Tab.1 Vegetation growth inside and outside the subsidence basin(cm)

Fig.4 Comparison of grass growth conditions inside and outside the basin

Fig.5 Nearsurface PWV from 2017 to 2021

Fig.6 PWV changes in a single working surface subsidence basin

Fig.7 PWV before and after mining in subsidence and contrast areas of the working face cluster

Fig.8 Comparison of relative humidity in subsidence basins and flatlands

Fig.9 Daily changes in relative humidity in sinkholes and flats

Fig.10 Modelling of water vapor convergence in sunken basins

[1]	霍超, 刘天绩, 樊斌, 等. 双碳背景下我国煤炭资源勘查开发布局研究[J]. 地质论评, 2022, 68(3):938-944.
[1]	Huo C, Liu T J, Fan B, et al. Study on national coal resources exploration and exploitation layout under carbon neutrality and emission peak settings[J]. Geological Review, 2022, 68(3):938-944.
[2]	王旭, 李志伟. 浅谈神东矿区的绿色矿山建设[J]. 陕西煤炭, 2022, 41(4):212-215.
[2]	Wang X, Li Z W. Discussion on green mine construction in Shendong mining area[J]. Shaanxi Coal, 2022, 41(4):212-215.
[3]	武强, 李松营. 闭坑矿山的正负生态环境效应与对策[J]. 煤炭学报, 2018, 43(1):21-32.
[3]	Wu Q, Li S Y. Positive and negative environmental effects of closed mines and its countermeasures[J]. Journal of China Coal Society, 2018, 43(1):21-32.
[4]	卞正富, 雷少刚, 刘辉, 等. 风积沙区超大工作面开采生态环境破坏过程与恢复对策[J]. 采矿与安全工程学报, 2016, 33(2):305-310.
[4]	Bian Z F, Lei S G, Liu H, et al. The process and countermeasures for ecological damage and restoration in coal mining area with super-size mining face at aeolian sandy site[J]. Journal of Mining and Safety Engineering, 2016, 33(2):305-310.
[5]	雷少刚, 肖浩宇, 郄晨龙, 等. 开采沉陷对关键土壤物理性质影响的相似模拟实验研究[J]. 煤炭学报, 2017, 42(2):300-307.
[5]	Lei S G, Xiao H Y, Qie C L, et al. Similar simulation experiment on the influence of mining subsidence on key physical properties of soil[J]. Journal of China Coal Society, 2017, 42(2):300-307.
[6]	胡振琪, 王新静, 贺安民. 风积沙区采煤沉陷地裂缝分布特征与发生发育规律[J]. 煤炭学报, 2014, 39(1):11-18.
[6]	Hu Z Q, Wang X J, He A M. Distribution characteristic and development rules of ground fissures due to coal mining in windy and sandy region[J]. Journal of China Coal Society, 2014, 39(1):11-18.
[7]	王双明, 杜华栋, 王生全. 神木北部采煤塌陷区土壤与植被损害过程及机理分析[J]. 煤炭学报, 2017, 42(1):17-26.
[7]	Wang S M, Du H D, Wang S Q. Analysis of damage process and mechanism for plant community and soil properties at northern Shenmu subsidence mining area[J]. Journal of China Coal Society, 2017, 42(1):17-26.
[8]	Wright I A, McCarthy B, Belmer N, et al. Subsidence from an underground coal mine and mine wastewater discharge causing water pollution and degradation of aquatic ecosystems[J]. Water,Air,and Soil Pollution, 2015, 226(10):348.
[9]	杨显华, 魏鹏, 吕军, 等. 基于多源遥感的采空塌陷识别技术应用研究[J]. 自然资源遥感, 2022, 34(2):162-167.doi:10.6046/zrzyyg.2021195.
[9]	Yang X H, Wei P, Lyu J, et al. Application of mining collapse recognition technology based on multi-source remote sensing[J]. Remote Sensing for Natural Resources, 2022, 34(2):162-167.doi:10.6046/zrzyyg.2021195.
[10]	武强, 张守成, 刘宏磊, 等. 矿山环境正效应开发利用适宜性评价理论与方法[J]. 煤炭学报, 2024, 49(1):114-130.
[10]	Wu Q, Zhang S C, Liu H L, et al. Effect of mine environment is the development and utilization of suitability evaluation theory and method[J]. Journal of coal, 2024, 49(1):114-130.
[11]	张强, 王胜, 曾剑. 论干旱区非降水性陆面液态水分分量及其与土壤水分的关系[J]. 干旱区研究, 2010, 27(3):392-400.
[11]	Zhang Q, Wang S, Zeng J. On the non-rained land-surface water components and their relationship with soil moisture content in arid region[J]. Arid Zone Research, 2010, 27(3):392-400.
[12]	张学文. 盆地气象学及其一些概念[J]. 新疆气象, 2003(5):4-5.
[12]	Zhang X W. Basin meteorology and its some concepts[J]. Desert and Oasis Meteorology, 2003(5):4-5.
[13]	周正薪. 浅埋煤层开采岩层移动规律及地表沉陷预测研究[D]. 西安: 西安科技大学, 2017.
[13]	Zhou Z X. Study on the regulation of strata movement and predication of surface movement caused by shallow seam mining[D]. Xi’an: Xi’an University of Science and Technology, 2017.
[14]	朱国庆. 基于Sentinel-2数据的半干旱矿区高分辨率水汽分析研究[D]. 徐州: 中国矿业大学, 2022.
[14]	Zhu G Q. High-resolution water vapor analysis in semi-arid mining area based on Sentinel-2 data[D]. Xuzhou: China University of Mining and Technology, 2022.
[15]	姜立鹏, 覃志豪, 谢雯. 针对MODIS近红外数据反演大气水汽含量研究[J]. 国土资源遥感, 2006, 18(3):5-9,88.doi:10.6046/gtzyyg.2006.03.02.
[15]	Jiang L P, Qin Z H, Xie W. Retrieving atmospheric water vapor from modis near infrared data[J]. Remote Sensing for land and Resources, 2006, 18(3):5-9,88.doi:10.6046/gtzyyg.2006.03.02.
[16]	Gao B C, Kaufman Y J. Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer(MODIS) near-infrared channels[J]. Journal of Geophysical Research:Atmospheres, 2003, 108(D13):4389.
[17]	崔德仁. 长壁重复开采沉陷“活化”机理和规律[J]. 煤炭科学技术, 2000, 28(7):52.
[17]	Cui D R, Mechanism and law of subsidence “activation” in longwall repeated mining[J]. Coal Science and Technology, 2000, 28(7):52.
[18]	毕银丽, 刘京, 尚建选, 等. 陕北采煤沉陷区土壤水分入渗和蒸发特征研究[J]. 中国矿业大学学报, 2022, 51(5):839-849,862.
[18]	Bi Y L, Liu J, Shang J X, et al. Study on the characteristics of soil moisture infiltration and evaporation in the coal mining subsidence area of coal mines in northern Shaanxi[J]. Journal of China University of Mining and Technology, 2022, 51(5):839-849,862.
[19]	胡振琪, 龙精华, 王新静. 论煤矿区生态环境的自修复、自然修复和人工修复[J]. 煤炭学报, 2014, 39(8):1751-1757.
[19]	Hu Z Q, Long J H, Wang X J. Self-healing,natural restoration and artificial restoration of ecological environment for coal mining[J]. Journal of China Coal Society, 2014, 39(8):1751-1757.
[20]	王琦, 全占军, 韩煜, 等. 风沙区采煤塌陷不同恢复年限土壤理化性质变化[J]. 水土保持学报, 2014, 28(2):118-122,126.
[20]	Wang Q, Quan Z J, Han Y, et al. Changes of soil physical and chemical properties under different coal mining subsidence years in windy desert area[J]. Journal of Soil and Water Conservation, 2014, 28(2):118-122,126.
[21]	邹慧, 毕银丽, 朱郴韦, 等. 采煤沉陷对沙地土壤水分分布的影响[J]. 中国矿业大学学报, 2014, 43(3):496-501.
[21]	Zou H, Bi Y L, Zhu C W, et al. Effect of mining subsidence on soil moisture dynamic changes of sandy land[J]. Journal of China University of Mining and Technology, 2014, 43(3):496-501.
[22]	林之光. 地形对温、压、湿、风、降水和日照时数日变化影响的研究[J]. 地理学报, 1981(4):392-403.
[22]	Lin Z G. Study on the influence of opography on temperature,pressure,humidity,wind,precipitation and sunshine duration[J]. Acta Geographica Sinica, 1981(4):392-403.

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[3]	WANG Haiqing, NIE Hongfeng, CHEN Ling, JING Qingqing, LI Mengwei, LI Xiaoyang. Remote sensing investigation of mining subsidence and harmfulness research[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 114-121.

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