Soil water transport and plant water use patterns in subsidence fracture zone due to coal mining using isotopic labeling

Springer Science and Business Media LLC - Tập 81 - Trang 1-8 - 2022
Guangjie Chen1,2, Junting Guo1, Ziheng Song1, Hao Feng2, Shi Chen1,2, Min Li1,2
1State Key Laboratory of Water Resources Protection and Utilization in Coal Mining, Beijing, China
2Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling, China

Tóm tắt

With more underground coal mining, soil subsidence and fracture have increasingly developed and resulted in changed hydrological progress; however, the effects of subsidence fracture on plant water uptake patterns remain largely unknown. This study aimed at investigating whether there were variations in soil water transport and plant water use patterns in subsidence fracture zone and fracture-free zone compared to the non-mining areas. The isotopically labeled water (2H) injection experiments were conducted and the MixSIAR model was used to explore the mechanism of soil water infiltration and water sources of Artemisia Desertorum in a semi-arid coal-mining area. The results showed that: (1) the proportion of the preferential flow in the subsidence fracture zone from the water balance equation was 18.2%; (2) in non-mining zone, 59.7% of water used by Artemisia Desertorum was from the 10–20 cm soil profile layer; (3) in the fracture-free zone, 46.6% and 39.4% of water were from the 40–60 cm and 0–10 cm layers, respectively; and (4) in the subsidence fracture zone, 85.9% of water derived mainly from the 40–60 cm layer. This study provided new insights into soil water transport and plant water uptake patterns in the subsidence fracture zone of coal-mining areas.

Tài liệu tham khảo

Bell FG, Stacey TR, Genske DD (2000) Mining subsidence and its effect on the environment: some differing examples. Environ Geol 40:135–152. https://doi.org/10.1007/s002540000140 Bhattacharya M, Rafiq S, Bhattacharya S (2015) The role of technology on the dynamics of coal consumption–economic growth: new evidence from China. Appl Energy 154:686–695. https://doi.org/10.1016/j.apenergy.2015.05.063 Bi RT, Bai ZK, Li H, Shao HB, Li WX, Ye BY (2010) Establishing a clean-quality indicator system for evaluating reclaimed land in the Antaibao Opencast mine area, China. Clean-Soil Air Water 38:719–725. https://doi.org/10.1002/clen.200900232 Bi Y, Zhang J, Song Z, Wang Z, Qiu L, Hu J, Gong Y (2019) Arbuscular mycorrhizal fungi alleviate root damage stress induced by simulated coal mining subsidence ground fissures. Sci Total Environ 652:398–405. https://doi.org/10.1016/j.scitotenv.2018.10.249 Bian Z, Lei S, Inyang HI, Chang L, Zhang R, Zhou C, Xiao H (2009) Integrated method of RS and GPR for monitoring the changes in the soil moisture and groundwater environment due to underground coal mining. Environ Geol 57:131–142. https://doi.org/10.1007/s00254-008-1289-x Cao H, Wu S (2006) The effects of land-use types and conversions on desertification in Mu Us Sandy Land of China. J Geog Sci 16:57–68. https://doi.org/10.1007/s11442-006-0106-2 Dai Y, Zheng X-J, Tang L-S, Li Y (2014) Stable oxygen isotopes reveal distinct water use patterns of two Haloxylon species in the Gurbantonggut desert. Plant Soil 389:73–87. https://doi.org/10.1007/s11104-014-2342-z Dang H, Zhang L, Yang W, Feng J, Han H, Chen Y (2019) Severe drought strongly reduces water use and its recovery ability of mature Mongolian Scots pine (Pinus sylvestris var. mongolica Litv.) in a semi-arid sandy environment of northern China. J Arid Land 11:880–891. https://doi.org/10.1007/s40333-019-0029-2 Dejun Y, Zhengfu B, Shaogang L (2016) Impact on soil physical qualities by the subsidence of coal mining: a case study in Western China. Environ Earth Sci 75:652. https://doi.org/10.1007/s12665-016-5439-2 Deng Z, Guan H, Hutson J, Forster MA, Wang Y, Simmons CT (2017) A vegetation-focused soil-plant-atmospheric continuum model to study hydrodynamic soil-plant water relations. Water Resour Res 53:4965–4983. https://doi.org/10.1002/2017wr020467 Doble RC, Pickett T, Crosbie RS, Morgan LK, Turnadge C, Davies PJ (2017) Emulation of recharge and evapotranspiration processes in shallow groundwater systems. J Hydrol 555:894–908. https://doi.org/10.1016/j.jhydrol.2017.10.065 Erhardt EB, Bedrick EJ (2013) A Bayesian framework for stable isotope mixing models. Environ Ecol Stats 19:377–397. https://doi.org/10.1007/s10651-012-0224-1 Guo H, Zhao Y (2020) Using isotopic labeling to investigate root water uptake in an alley cropping system within Taklimakan Desert Oasis, China. Agrofor Syst 95:907–918. https://doi.org/10.1007/s10457-020-00527-0 Gao X, Zhao X, Li H, Guo L, Lv T, Wu P (2018) Exotic shrub species (Caragana korshinskii) is more resistant to extreme natural drought than native species (Artemisia gmelinii) in a semiarid revegetated ecosystem. Agric for Meteorol 263:207–216. https://doi.org/10.1016/j.agrformet.2018.08.029 Helaly MN, El-Hoseiny H, El-Sheery NI, Rastogi A, Kalaji HM (2017) Regulation and physiological role of silicon in alleviating drought stress of mango. Plant Physiol Biochem 118:31–44. https://doi.org/10.1016/j.plaphy.2017.05.021 Huang Y, Evaristo J, Li Z (2019) Multiple tracers reveal different groundwater recharge mechanisms in deep loess deposits. Geoderma 353:204–212. https://doi.org/10.1016/j.geoderma.2019.06.041 Kaushal M, Wani SP (2016) Plant-growth-promoting rhizobacteria: drought stress alleviators to ameliorate crop production in drylands. Annals Microbiol 66:35–42. https://doi.org/10.1007/s13213-015-1112-3 Lei SG, Xiao HY, Qie CL, Bian ZF, Piao C (2017) Similar simulation experiment on the influence of mining subsidence on the key physical properties of soil. J China Coal Soc 42:300–307. https://doi.org/10.13225/j.cnki.jccs.2016.6006 Lin Y, Li Q, Li X, Ji K, Zhang H, Yu Y, Song Y, Fu Y, Sun LJ (2014) Pyrolysates distribution and kinetics of Shenmu long flame coal. Energy Convers Manag 86:428–434. https://doi.org/10.1016/j.enconman.2014.04.091 Liu J, Shen L, Wang Z, Duan S, Wu W, Peng X, Wu C, Jiang Y (2019) Response of plants water uptake patterns to tunnels excavation based on stable isotopes in a karst trough valley. J Hydrol 571:485–493. https://doi.org/10.1016/j.jhydrol.2019.01.073 Liu Y, Lei SG, Chen XY, Chen M, Zhang XY, Long LL (2020) Disturbance mechanism of coal mining subsidence to typical plants in a semiarid area using O-J-I-P chlorophyll a fluorescence analysis. Photosynthetica 58:1178–1187. https://doi.org/10.32615/ps.2020.072 Nehemy MF, Benettin P, Asadollahi M, Pratt D, Rinaldo A, McDonnell JJ (2020) Tree water deficit and dynamic source water partitioning. Hydrol Process 35:e14004. https://doi.org/10.1002/hyp.14004 Parnell AC, Phillips DL, Bearhop S, Semmens BX, Ward EJ, Moore JW, Jackson AL, Grey J, Kelly DJ, Inger R (2013) Bayesian stable isotope mixing models. Environmetrics 24:387–399. https://doi.org/10.1002/env.2221 Penna D, Hopp L, Scandellari F, Allen ST, Benettin P, Beyer M, Geris J, Klaus J, Marshall JD, Schwendenmann L, Volkmann THM, von Freyberg J, Amin A, Ceperley N, Engel M, Frentress J, Giambastiani Y, McDonnell JJ, Zuecco G, Llorens P, Siegwolf RTW, Dawson TE, Kirchner JW (2018) Ideas and perspectives: tracing terrestrial ecosystem water fluxes using hydrogen and oxygen stable isotopes—challenges and opportunities from an interdisciplinary perspective. Biogeosciences 15:6399–6415. https://doi.org/10.5194/bg-15-6399-2018 Piayda A, Dubbert M, Siegwolf RTW, Cuntz M, Werner C (2017) Quantification of dynamic soil–vegetation feedbacks following an isotopically labelled precipitation pulse. Biogeosciences 14:2293–2306. https://doi.org/10.5194/bg-14-2293-2017 Rothfuss Y, Javaux M (2017) Reviews and syntheses: Isotopic approaches to quantify root water uptake: a review and comparison of methods. Biogeosciences 14:2199–2224. https://doi.org/10.5194/bg-14-2199-2017 Sprenger M, Leistert H, Gimbel K, Weiler M (2016) Illuminating hydrological processes at the soil-vegetation-atmosphere interface with water stable isotopes. Rev Geophys 54:674–704. https://doi.org/10.1002/2015rg000515 Stock BC, Semmens BX (2013) MixSIAR GUI user manual, version 3.1. March, 2016. https://conserver.iugocafe.org/user/brice.semmens/MixSIAR Taklimak N, Wang J, Wang P, Qin Q, Wang H (2017) The effects of land subsidence and rehabilitation on soil hydraulic properties in a mining area in the Loess Plateau of China. Catena 159:51–59. https://doi.org/10.1016/j.catena.2017.08.001 Tan S, Zhou B, Wang Q (2015) Effects of nanocarbon on the hydraulic parameters and the solute transport process for disturbed loessial soil. Arab J Geosci 9:4. https://doi.org/10.1007/s12517-015-2018-x Tao Z, Neil E, Si B (2021) Determining deep root water uptake patterns with tree age in the Chinese loess area. Agric Water Manag 249:106810. https://doi.org/10.1016/j.agwat.2021.106810 Ullah MF, Alamri AM, Mehmood K, Akram MS, Rehman F, Rehman SU, Riaz O (2018) Coal mining trends, approaches, and safety hazards: a brief review. Arab J Geosci 11:651. https://doi.org/10.1007/s12517-018-3977-5 Voltas J, Lucabaugh D, Chambel MR, Ferrio JP (2015) Intraspecific variation in the use of water sources by the circum-Mediterranean conifer Pinus halepensis. New Phytol 208:1031–1041. https://doi.org/10.1111/nph.13569 Wang J, Lu C, Sun Q, Xiao W, Cao G, Li H, Yan L, Zhang B (2017) Simulating the hydrologic cycle in coal mining subsidence areas with a distributed hydrologic model. Sci Rep 7:39983. https://doi.org/10.1038/srep39983 Wang P, Sun H, Li X-Y, Song X, Yang X, Wu X, Hu X, Yao H, Ma J, Ma J (2021) Seasonal variations in water flux compositions controlled by leaf development: isotopic insights at the canopy–atmosphere interface. Int J Biometeorol 65:1719–1732. https://doi.org/10.1007/s00484-021-02126-9 Wu X, Jiang X-W, Chen Y-F, Tian H, Xu N-X (2009) The influences of mining subsidence on the ecological environment and public infrastructure: a case study at the Haolaigou Iron Ore Mine in Baotou, China. Environ Earth Sci 59:803–810. https://doi.org/10.1007/s12665-009-0076-7 Xiang W, Si BC, Biswas A, Li Z (2019) Quantifying dual recharge mechanisms in deep unsaturated zone of Chinese Loess Plateau using stable isotopes. Geoderma 337:773–781. https://doi.org/10.1016/j.geoderma.2018.10.006 Xie K, Zhang Y, Yi Q, Yan J (2013) Optimal resource utilization and ecological restoration of aquatic zones in the coal mining subsidence areas of the Huaibei Plain in Anhui Province, China. Desalination Water Treat 51:4019–4027. https://doi.org/10.1080/19443994.2013.781096 Xiu L, Yan C, Liu 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 Monitor Assess 190:543–543. https://doi.org/10.1007/s10661-018-6931-9 Yang Y, Fu B-J (2017) Soil water migration in the unsaturated zone of semiarid region in China from isotope evidence. Hydrol Earth Syst Sci 21:1757–1767. https://doi.org/10.5194/hess-21-1757-2017 Yu X, Huang Y, Li E, Li X, Guo W (2017) Effects of vegetation types on soil water dynamics during vegetation restoration in the Mu Us Sandy Land, northwestern China. J Arid Land 9:188–199. https://doi.org/10.1007/s40333-017-0054-y Ze W, Behzad HM, He Q, Wu C, Bai Y, Jiang Y (2021) Seasonal transpiration dynamics of evergreen Ligustrum lucidum linked with water source and water-use strategy in a limestone karst area, Southwest China. J Hydrol 597:126199. https://doi.org/10.1016/j.jhydrol.2021.126199 Zhang M, Wu X (2020) The rebound effects of recent vegetation restoration projects in Mu Us Sandy land of China. Ecol Ind 113:106228. https://doi.org/10.1016/j.ecolind.2020.106228 Zhang J, Lei T, Qu L, Zhang M, Chen P, Gao X, Chen C, Yuan L (2019) Method to quantitatively partition the temporal preferential flow and matrix infiltration in forest soil. Geoderma 347:150–159. https://doi.org/10.1016/j.geoderma.2019.03.026 Zhao Y, Wang Y, He M, Tong Y, Zhou J, Guo X, Liu J, Zhang X (2020) Transference of Robinia pseudoacacia water-use patterns from deep to shallow soil layers during the transition period between the dry and rainy seasons in a water-limited region. For Ecol Manage 457:117727. https://doi.org/10.1016/j.foreco.2019.117727