| Citation: |
XU Yufan，LEI Shaogang，SUN Yongqiao，et al. Monitoring method for water level in subsidence water bodies in mining areas using multi-source satellite observations[J]. Coal Science and Technology，2025，53（4）：338−347. DOI: 10.12438/cst.2023-1986
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The high groundwater level mining area in the eastern part of China is an important mineral grain composite production area. The use of underground mining methods causes uneven subsidence on its surface, forming a large number of small and fragmented subsidence waterlogging areas. The dynamic changes of subsidence water level seriously affect the ecology and production safety of the mining area. Accurate monitoring of subsidence water level is crucial for wetland ecological management and flood risk prediction in high groundwater mining areas in the eastern region. Therefore, based on existing satellite altimetry technology, a method for monitoring the water level of fragmented subsidence water bodies in mining areas using multi-source satellite observations is proposed. Taking the Yanzhou mining area as the research object, we conduct an in-depth analysis of the correlation between the ICESat-2 (Ice, Cloud and Land Elevation Satellite-2) and GEDI (Global Ecosystem Dynamics Investigation) satellite observation datasets, and establishes a regression model. The model is used to correct the GEDI observation dataset, and by integrating multi-source satellite observation datasets, higher density and higher accuracy monitoring of subsidence water level in the mining area can be achieved. The results show that: ① The water level monitoring accuracy of ICESat-2 satellite altimeter is better, which can serve as the basis for evaluating and correcting GEDI data, and GEDI has a greater advantage in monitoring the quantity of water bodies; ② There is a significant correlation between ICESat-2 and GEDI observation datasets, and the insufficient number of surface cross observation points has a small impact on the fitting of the regression relationship. The use of regression models can effectively correct the water level observation data of GEDI satellites, reducing the average error, average absolute error, and root mean square error of water level measurement by 69.74%, 56.58%, and 50.56% respectively compared to before correction; ③ By integrating the ICESat-2 and GEDI observation datasets, high coverage and monitoring accuracy were demonstrated in water level monitoring, with a monitoring water coverage rate of 88.89% overall. The average error, average absolute error, and root mean square error of water level measurement were 0.10, 0.17, 0.26 m, respectively. Overall, the water level monitoring method for subsidence in mining areas based on multi-source satellite observations can meet the needs of small and scattered water level monitoring in mining areas, and also has potential applications in other problems that require high-density measurement.
| [1] |
刘辉,左建宇,苏丽娟,等. 巨厚含水松散层下开采地表移动变形规律研究[J]. 煤炭科学技术,2022,50(5):49−56.
LIU Hui,ZUO Jianyu,SU Lijuan,et al. Study on surface movement and deformation laws in mining under thick water-bearing loose layer[J]. Coal Science and Technology,2022,50(5):49−56.
|
| [2] |
李勇智. 煤矿开采中综合防治水技术的分析[J]. 能源与节能,2021(3):172−173. doi: 10.3969/j.issn.2095-0802.2021.03.076
LI Yongzhi. Analysis of comprehensive water prevention and control technology in coal mining[J]. Energy and Energy Conservation,2021(3):172−173. doi: 10.3969/j.issn.2095-0802.2021.03.076
|
| [3] |
宗杰. 永夏矿区采煤塌陷地复垦与生态重建[J]. 资源·产业,2001(6):231−233.
ZONG Jie. Reclamation and ecological reconstruction of coal mining collapse in Yongxia mining area[J]. Resources & Industries,2001(6):231−233.
|
| [4] |
宋力,尹飞,王金山,等. 人为扰动下人工湿地生态系统响应表征研究[J]. 环境工程,2023,41(S2):991−997.
SONG Li,YIN Fei,WANG Jinshan,et al. Research on the response characterization of artificial wetland ecosystem under man-made disturbance[J]. Environmental Engineering,2023,41(S2):991−997.
|
| [5] |
李国元,唐新明. 高分七号卫星激光测高数据大型湖泊水位测量精度评估[J]. 遥感学报,2022,26(1):138−147. doi: 10.11834/jrs.20221195
LI Guoyuan,TANG Xinming. Accuracy evaluation of large lake water level measurement based on GF-7 laser altimetry data[J]. National Remote Sensing Bulletin,2022,26(1):138−147. doi: 10.11834/jrs.20221195
|
| [6] |
马山木,甘甫平,吴怀春,等. ICESat-2数据监测青藏高原湖泊2018—2021年水位变化[J]. 自然资源遥感,2022,34(3):9.
MA Shanmu,GAN Fuping,WU Huaichun,et al. ICESat-2 data-based monitoring of 2018—2021 variations in the water levels of lakes in the Qinghai-Tibet Plateau[J]. Remote Sensing for Natural Resources,2022,34(3):9.
|
| [7] |
CHEN J M,LIAO J J. Monitoring lake level changes in China using multi-altimeter data (2016–2019)[J]. Journal of Hydrology,2020,590:125544. doi: 10.1016/j.jhydrol.2020.125544
|
| [8] |
LI X D,LONG D,HUANG Q,et al. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000–2017 using multiple altimetric missions and Landsat-derived lake shoreline positions[J]. Earth System Science Data,2019,11(4):1603−1627. doi: 10.5194/essd-11-1603-2019
|
| [9] |
ZHANG Z J,BO Y C,JIN S G,et al. Dynamic water level changes in Qinghai Lake from integrating refined ICESat-2 and GEDI altimetry data (2018—2021)[J]. Journal of Hydrology,2023,617:129007. doi: 10.1016/j.jhydrol.2022.129007
|
| [10] |
SONG C Q,YE Q H,CHENG X. Shifts in water-level variation of Namco in the central Tibetan Plateau from ICESat and CryoSat-2 altimetry and station observations[J]. Science Bulletin,2015,60(14):1287−1297. doi: 10.1007/s11434-015-0826-8
|
| [11] |
李振南,雷伟伟,王一帆,等. 基于多源卫星测高数据的青海湖水位变化研究[J]. 测绘科学,2023,48(5):140−151.
LI Zhennan,LEI Weiwei,WANG Yifan,et al. Water level variation of Qinghai Hu based on multi-source satellite altimetry data[J]. Science of Surveying and Mapping,2023,48(5):140−151.
|
| [12] |
汪云甲. 矿区生态扰动监测研究进展与展望[J]. 测绘学报,2017,46(10):1705−1716. doi: 10.11947/j.AGCS.2017.20170358
WANG Yunjia. Research progress and prospect on ecological disturbance monitoring in mining area[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1705−1716. doi: 10.11947/j.AGCS.2017.20170358
|
| [13] |
董军,王慧,秦胜,等. 兖州煤田采矿影响下水环境演变研究[J]. 中国矿业,2020,29(6):127−132. doi: 10.12075/j.issn.1004-4051.2020.06.014
DONG Jun,WANG Hui,QIN Sheng,et al. Evolution of water environment under the influence of mining in Yanzhou coalfield[J]. China Mining Magazine,2020,29(6):127−132. doi: 10.12075/j.issn.1004-4051.2020.06.014
|
| [14] |
李太启,高荣久. 采煤塌陷区综合治理问题分析与建议[J]. 金属矿山,2015(4):169−172.
LI Taiqi,GAO Rongjiu. Analysis and suggestion on the problem of comprehensive treatment in subsidence region induced by coal mining[J]. Metal Mine,2015(4):169−172.
|
| [15] |
李学良,孙光,闫建成,等. 典型高潜水位矿区采煤塌陷地损毁特征及复垦模式分析[J]. 煤炭技术,2021,40(7):1−4.
LI Xueliang,SUN Guang,YAN Jiancheng,et al. Analysis of damage characteristics and reclamation model of coal mining subsidence land in typical high potential water level mining area[J]. Coal Technology,2021,40(7):1−4.
|
| [16] |
张免. 高潜水位煤矿区地表水质保护和修复方法研究[D]. 徐州:中国矿业大学,2022.
ZHANG Mian. Study on surface water quality protection and restoration methods in coal mining areas with high groundwater level[D]. Xuzhou:China University of Mining and Technology,2022.
|
| [17] |
孙伟,金建文,李国元,等. 激光测高卫星ICESat-2监测太湖水位精度评价[J]. 测绘科学,2021,46(11):6−11.
SUN Wei,JIN Jianwen,LI Guoyuan,et al. Accuracy evaluation of laser altimetry satellite ICESat-2 in monitoring water level of Taihu lake[J]. Science of Surveying and Mapping,2021,46(11):6−11.
|
| [18] |
焦怀瑾,陈崇成,黄洪宇. 结合ICESat-2和GEDI的中国东南丘陵地区ASTER GDEM高程精度评价与修正[J]. 地球信息科学学报,2023,25(2):409−420. doi: 10.12082/dqxxkx.2023.220483
JIAO Huaijin,CHEN Chongcheng,HUANG Hongyu. Elevation accuracy evaluation and correction of ASTER GDEM in China southeast hilly region by combining ICESat-2 and GEDI data[J]. Journal of Geo-Information Science,2023,25(2):409−420. doi: 10.12082/dqxxkx.2023.220483
|
| [19] |
董佳臣,倪文俭,张志玉,等. ICESat-2植被冠层高度和地表高程数据产品用于森林高度提取的效果评价[J]. 遥感学报,2021,25(6):1294−1307. doi: 10.11834/jrs.20219449
DONG Jiachen,NI Wenjian,ZHANG Zhiyu,et al. Performance of ICESat-2 ATL08 product on the estimation of forest height by referencing to small footprint LiDAR data[J]. National Remote Sensing Bulletin,2021,25(6):1294−1307. doi: 10.11834/jrs.20219449
|
| [20] |
刘丽娟,王成,聂胜,等. GEDI L2A 不同算法对地面高程和森林冠层高度精度的影响分析[J]. 中国科学院大学学报,2022,39(4):502−511.
LIU Lijuan,WANG Cheng,NIE Sheng,et al. Analysis of the influence of different algorithms of GEDI L2A on the accuracy of ground elevation and forest canopy height[J]. Journal of University of Chinese Academy of Sciences,2022,39(4):502−511.
|
| [21] |
FAYAD I,BAGHDADI N,BAILLY J S,et al. Correcting GEDI water level estimates for inland waterbodies using machine learning[J]. Remote Sensing,2022,14(10):2361. doi: 10.3390/rs14102361
|
| [22] |
肖武,陈文琦,何厅厅,等. 高潜水位煤矿区开采扰动的长时序过程遥感监测与影响评价[J]. 煤炭学报,2022,47(2):922−933.
XIAO Wu,CHEN Wenqi,HE Tingting,et al. Remote sensing monitoring and impact assessment of mining disturbance in mining area with high undergroundwater level[J]. Journal of China Coal Society,2022,47(2):922−933.
|
| [23] |
NEUENSCHWANDER A L,PITTS K L,JELLEY B P,et al. 2022. ATLAS/ICESat-2 L3A land and vegetation Height[Z]. Version,4(24):17.
|
| [24] |
DUBAYAH R,HOFOTON M,BLAIR J,et al. GEDI L2A Elevation and height metrics data global footprint level V002 [Data set]. In:NASA EOSDIS Land Processes DAAC. [Z]. 2021.
|
| [25] |
LIU A B,CHENG X,CHEN Z Q. Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals[J]. Remote Sensing of Environment,2021,264:112571.
|
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