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Modeling impacts of mining activity-induced landscape change on local climate

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Abstract

As a major energy source, coal has been mined on an increasingly larger scale as the social economy has continuously developed, resulting in drastic land type changes. These changes in turn cause changes in the local climate and affect the local ecological environment. Therefore, for coal cities, mining activities are an important factor influencing the local climate, and clarifying the impact of mining activities on the ecological environment is important for guiding regional development. In this paper, the impact of land use/cover changes (LUCCs) on local temperature in the spring and summer seasons from 1980 to 2018 was simulated using the Weather Research and Forecasting (WRF) model with Xilinhot city as the study area, and the regional distribution of local surface energy was analyzed in conjunction with the ground-air energy transfer process. The results show that the grassland area in Xilinhot remained above 85% from 1980 to 2018, so mining activities had a small impact on the average temperature of the whole region. However, in the mining area, the warming effect caused by mining activities was more obvious, with an average temperature increase of 0.822 K. Among other land transformation types, the conversion to water bodies had a very obvious cooling effect, lowering the temperature by an average of 2.405 K. By comparing the latent heat flux (LH), sensible heat flux (SH), and ground heat flux (GRD) under different land use types, it was found that in 2018, the LH decreased by 0.487 W/m2, the SH decreased by 0.616 W/m2, and the GRD decreased by 0.753 W/m2. The conversion to built-up urban land caused a significant decrease in the LH in the corresponding area, allowing more energy to be used to increase SH values, which resulted in significantly higher urban temperatures than in other areas.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Alam MS, Barbour SL, Huang M, Li Y (2020) Using statistical and dynamical downscaling to assess climate change impacts on mine reclamation cover water balances. Mine Water Environ 39:699–715

    Article  CAS  Google Scholar 

  • Alexandru A, Sushama L (2015) Impact of land-use and land-cover changes on CRCM5 climate projections over North America for the twenty-first century. Climate Dynam 47:1197–1209

    Article  Google Scholar 

  • Bhati S, Mohan M (2018) WRF-urban canopy model evaluation for the assessment of heat island and thermal comfort over an urban airshed in India under varying land use/land cover conditions. Geosci Lett 5:1–19

    Article  Google Scholar 

  • Bollasina M, Nigam S (2011) Modeling of regional hydroclimate change over the Indian subcontinent: impact of the expanding Thar Desert. J Climate 24:3089–3106

    Article  Google Scholar 

  • Cao Q, Yu DY, Georgescu M, Wu JG (2016) Impacts of urbanization on summer climate in China: an assessment with coupled land-atmospheric modeling. J Geophys Res Atmos 121:10505–10521

    Article  Google Scholar 

  • Chen L, Ma Z, Zhao T (2017) Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China. Climatic Change 144:461–473

    Article  Google Scholar 

  • Chen LY, Liu CX (2006): Study on land use/cover change in Xilinhot city. Bull Soil Water Conserv 26, 60-64+111

  • Elizabeth B, Ahmed T, Andrew O, Lucie L, Kimberly N, Scott O, Colin Z, Gordon B (2018) The role of surface roughness, albedo, and Bowen ratio on ecosystem energy balance in the Eastern United States. Agri Forest Meteorol 249:367–376

    Article  Google Scholar 

  • Fan X, Ma Z, Yang Q, Han Y, Mahmood R (2015) Land use/land cover changes and regional climate over the Loess Plateau during 2001–2009. Part II: interrelationship from observations. Climatic Change 129:441–455

    Article  Google Scholar 

  • Fei C, Dudhia J (2001) Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Monthly Weather Rev 129:569–585

    Article  Google Scholar 

  • Fu P, Xie Y, Weng Q, Myint S, Meacham-Hensold K, Bernacchi C (2019) A physical model-based method for retrieving urban land surface temperatures under cloudy conditions. Remote Sens Environ 230:111191

    Article  Google Scholar 

  • Gohain KJ, Mohammad P, Goswami A (2020) Assessing the impact of land use land cover changes on land surface temperature over Pune city, India. Quaternary Intl 575-576:259–269

    Article  Google Scholar 

  • Guo F (2017) Assessment method of urban heat island high resolution based on WRF. J Civil Environ Eng(in Chinese) 039:13–19

    Google Scholar 

  • Huang D, Gao S (2017) Impact of different reanalysis data on WRF dynamical downscaling over China. Atmos Res 200:25–35

    Article  Google Scholar 

  • Inta T, Somprasong K, Huttagosol P (2020) Study of climate effect on the atmospheric conversion in coal mine: a case study of lignite coal mine in Thailand. IOP Conf Ser Earth Environ Sci 581:012028

    Article  Google Scholar 

  • Jandaghian Z, Berardi U (2020) Comparing urban canopy models for microclimate simulations in weather research and forecasting models. Sustain Cities Soc 55:102025

    Article  Google Scholar 

  • Kowsalya T, Ullo SL, Zarro C, Hemalatha KL, Parameshachari BD (2020) Land use and land cover classification using a human group based particle swarm optimization algorithm with a LSTM classifier on hybrid-pre-processing remote sensing images. Remote Sens 12:4135

    Article  Google Scholar 

  • Larondelle N, Haase D (2012) Valuing post-mining landscapes using an ecosystem services approach—an example from Germany. Ecol Indicators 18:567–574

    Article  Google Scholar 

  • Li J, Zhao Y, Liu H, Su Z (2016) Sandy desertification cycles in the southwestern Mu Us Desert in China over the past 80years recorded based on nebkha sediments. Aeolian Res 20:100–107

    Article  Google Scholar 

  • Li N, Yan CZ, Xie JL (2015) Remote sensing monitoring recent rapid increase of coal mining activity of an important energy base in northern China, a case study of Mu Us Sandy Land. Resour Conserv Recyc 94:129–135

    Article  Google Scholar 

  • Li X, Yang XQ, Tang JP (2011) Multiple urban heat islands and surface energy balance during summer in Yangtze River Delta city cluster region simulated with WRF/NCAR. J Meteorol Sci 31:441–450

    CAS  Google Scholar 

  • Liu JY, Shao QQ, Yan XD (2011) An overview of the progress and research framework on the effects of land use change upon global climate. Adv Earth Sci(in Chinese) 26:1015–1022

    Google Scholar 

  • Ma HY, Guo P, Jie AS (2009) Simulation of “2007.7” Heavy rainfall case in the Changjiang-Huaihe valley using the WRF model with different land surface schemes. Chinese J Atmos Sci 33:557–567

    Google Scholar 

  • Nambiar MK, Robe FR, Seguin AM, Endsin M, Aliabadi AA (2020) Diurnal and seasonal variation of area-fugitive methane advective flux from an open-pit mining facility in Northern Canada using WRF. Atmosphere 11:1227

    Article  Google Scholar 

  • Pang L, Su X (2010) Using thematic mapping images for Xilinhaote cityscape spatial layout analysis. Planners 26:45–48

    Google Scholar 

  • Pang L, Shun NA (2011) Temporal-spatial characteristics of landscape pattern in Xilinhot. Ecol Econ 235:151-154 +158

    Google Scholar 

  • Pian XD, Li X, Ran YH, Liu C (2012) Influence of underlying surface on regional climate accuracy of WRF model in Heihe River Basin. Plateau Meteorol(in Chinese) 31:657–667

    Google Scholar 

  • Qian D, Yan C, Xiu L, Feng K (2018) The impact of mining changes on surrounding lands and ecosystem service value in the Southern Slope of Qilian Mountains. Ecol Complexity 36:138–148

    Article  Google Scholar 

  • Schueler V, Kuemmerle T, Schroeder H (2011) Impacts of surface gold mining on land use systems in Western Ghana. Ambio 40:528–539

    Article  Google Scholar 

  • Shen Y, Shen HF, Cheng Q, Zhang L (2020) Generating comparable and fine-scale time series of summer land surface temperature for thermal environment monitoring. IEEE J Select Top Appl Earth Observ Remote Sens 14:2136–2147

    Article  Google Scholar 

  • Song K, Zhao J, Wei O, Zhao X, Hao F (2010) LUCC and landscape pattern variation of wetlands in warm-rainy Southern China over two decades. Procedia Environ Sci 2:1296–1306

    Article  Google Scholar 

  • Vorotilova PG, Konstantinov PI, Varentsov MI, Timazhev AV, Baklanov AA (2020) Study of surface-based temperature inversions in the city of Nadym (Western Siberia) with direct measurements and numerical simulation. IOP Conference Ser Earth Environ Sci 611:012021

    Article  Google Scholar 

  • Wang MN, Han Z, Zhang QY (2016) Effects of land use change on surface temperature in semi-arid areas of northern China in the early 21st century. Climate Environ Stud(in Chinese) 21:65–77

    Google Scholar 

  • Wang X, Guo W, Bo Q, Ye L, Ding A (2017) Quantifying the contribution of land use change to surface temperature in the lower reaches of the Yangtze River. Atmos Chem Phys 17:4989–4996

    Article  CAS  Google Scholar 

  • Wang YL, Feng JM, Hao G (2014) Numerical simulation of the impact of land cover change on regional climate in China. Theor Appl Climatol 115:141–152

    Article  Google Scholar 

  • Wei JS, He X, Hu CY, Wang J (2006): Effect of coal mining subsidence on sandy soil moisture characteristics in arid and semi-arid areas. Resources and environment in Arid Areas(in Chinese), 84-88

  • Wei TT, Hu ZQ, Cao YB, Li XY, Chen C (2015) Effects of coal mining on soil physical properties and crust in aeolian sand area. Water Soil Conserv Bull(in Chinese) 35:106–110

    Google Scholar 

  • Wen XH, Dong WJ, Liao XH (2015) Simulation of radiation budget and energy balance in summer in Northeast Semi-arid Region by WRF model. J Solar Energy(in Chinese) 36:2196–2203

    Google Scholar 

  • Wu Q, Pang J, Qi S, Li Y, Han C, Liu T, Huang L (2009) Impacts of coal mining subsidence on the surface landscape in Longkou city, Shandong Province of China. Environ Earth Sci 59:783–791

    Article  Google Scholar 

  • Wu QY, Feng ZW, Hu ZQ, Chen C, Fu YK, Yang FQ, Gao LL (2020) Influence of dynamic change of surface cracks on soil water content in ecologically fragile mining areas. Coal Sci Technol(in Chinese) 48:153–160

    Google Scholar 

  • Xiang H, Wang Z, Mao D, Zhang J, Zhao D, Zeng Y, Wu B (2021) Surface mining caused multiple ecosystem service losses in China. J Environ Manage 290:112618

    Article  Google Scholar 

  • Xiao YX, Wu Z, Fang DX, He J, Tang JP (2021) Effects of urbanization on summer temperature change in the Sichuan basin from observation and simulation. Geophys(in Chinese) 64:100–113

    Google Scholar 

  • Xiu L, Yan C, Li X, Qian D, Feng K (2018) Monitoring the response of vegetation dynamics to ecological engineering in the Mu Us Sandy Land of China from 1982 to 2014. Environ Monit Assess 190:543.1-543.18

    Article  Google Scholar 

  • Zhang YX, Bi YL, Chen SL, Wang J, Han B, Feng YB (2015) Influence of fracture development on soil moisture after coal mining in semi-arid Aeolian Sandy Area. Environ Sci Technol(in Chinese) 38:11–14

    Google Scholar 

  • Zheng Y, Dong L, Xia Q, Liang C, Shao Y (2020) Effects of revegetation on climate in the Mu Us Sandy Land of China. Sci Total Environ 739:139958

    Article  CAS  Google Scholar 

Download references

Funding

This research is funded by the National Natural Science Foundation of China (Grant Nos. 41701391, 41601348, and 61841101). Fundamental Research Funds for the Central Universities (Grant number 2022JCCXDC04, 2022YJSDC14), and Yueqi Young Scholar Project of China University of Mining and Technology-Beijing.

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Authors and Affiliations

  1. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, 100083, China

    Hongru Bi, Wei Chen & Jun Li

  2. State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing, 102209, China

    Junting Guo

  3. Shenhua Beidian Shengli Energy Co., Ltd., Xilinhot, 026000, China

    Changchao She

Authors
  1. Hongru Bi
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  2. Wei Chen
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  3. Jun Li
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  4. Junting Guo
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  5. Changchao She
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Contributions

HongRu Bi: software, validation, writing—original draft preparation, Wei Chen: conceptualization, methodology, writing—reviewing and editing, supervision. Jun Li: data curation. Junting Guo: software. Changchao She: investigation.

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Correspondence to Jun Li.

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Bi, H., Chen, W., Li, J. et al. Modeling impacts of mining activity-induced landscape change on local climate. Environ Sci Pollut Res 29, 71136–71149 (2022). https://doi.org/10.1007/s11356-022-20470-0

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  • DOI: https://doi.org/10.1007/s11356-022-20470-0

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