Comprehensive evaluation on water resource carrying capacity in karst areas using cloud model with combination weighting method: a case study of Guiyang, southwest China

Abstract

It is important to maintain the sustainable development of water resources. Objective assessment on water resource carrying capacity (WRCC) is beneficial to the formulation of scientific and reasonable water management practices. In view of the problem that evaluation indicators of WRCC cannot describe the fuzziness and randomness, a cloud model was introduced into regional WRCC assessment. This study selected a typical karst area (Guiyang) as the research object to study WRCC by using cloud model with combination weighting method. WRCC was assessed from the following five dimensions: water environment subsystem, social subsystem, economic subsystem, ecological subsystem, and humanities (water resource management and policy regulation) subsystem. In addition, evaluation results after normalizing all of indicators data were also calculated. And these two kinds of evaluation results were compared with that of technique of order preference similarity to the ideal solution (TOPSIS), finding that evaluation results of cloud model were consistent with that of TOPSIS method. The cloud model realizes the transformation from qualitative evaluation to quantitative evaluation, which overcome insufficiencies of traditional evaluation methods in considering fuzziness and randomness. Results showed that during the period of 2008–2017, the state of WRCC in Guiyang was improving year by year, increasing from the serious overload carrying capacity level in 2008 to the strong carrying capacity level in 2017 (serious overload-overload-critical-weak carrying capacity–strong carrying capacity). However, some certain evaluation indicators are still in danger situation, such as population natural growth rate and use of the fertilizer per unit cultivated area, which needs to be further enhanced and improved. Moreover, the contradiction among economic development, population growth, and water resources is becoming increasingly apparent. To ensure the effective utilization of water resources in Guiyang, reasonable policies and measures should be formulated and put into effect. Research results could provide certain reference for the sustainable development of regional water resources.

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References

  1. Biswas AK (2004) From mar del plata to Kyoto: an analysis of global water policy dialogue. Glob Environ Chang 14:81–88. https://doi.org/10.1016/j.gloenvcha.2003.11.003

    Article  Google Scholar 

  2. Chadenas C, Pouillaude A, Pottier P (2008) Assessing carrying capacities of coastal areas in France. J Coast Conserv 12:27–34. https://doi.org/10.2307/40301467

    Article  Google Scholar 

  3. Chebil A, Souissi A, Frija A, Stambouli T (2019) Estimation of the economic loss due to irrigation water use inefficiency in Tunisia. Environ Sci Pollut Res 26:11261–11211. 268. https://doi.org/10.1007/s11356-019-04566-8

    Article  Google Scholar 

  4. Cheng K, Fu Q, Ren YT, Guo J, Lu XP (2015) Evaluation of bearing capacity of water resources in Heilongjiang Province based on entropy weight and cloud model. J Northeast Agric Univ 46:75–80. https://doi.org/10.3969/j.issn.1005-9369.2015.08.013

    Article  Google Scholar 

  5. Clarke AL (2002) Assessing the carrying capacity of the Florida keys. Popul Environ 23:405–418. https://doi.org/10.2307/27503800

    Article  Google Scholar 

  6. Dai MH, Wang LC, Tang H (2016) Research on water resources carrying capacity in karst areas based on multi-level fuzzy comprehensive evaluation model. Bull Soil Water Conse 36:151–156. https://doi.org/10.13961/j.cnki.stbctb.2016.01.026

    Article  Google Scholar 

  7. Dai D, Sun MD, Xu XQ, Lei K (2019) Assessment of the water resource carrying capacity based on the ecological footprint: a case study in Zhangjiakou City, North China. Environ Sci Pollut Res 26:11000. https://doi.org/10.1007/s11356-019-04414-9

    Article  Google Scholar 

  8. Deng HW, Wang P (2019) Evaluation of regional water environmental carrying capacity based on GIS and sum of deviation square combination weighting method. J. Yangtze River Sci Res Inst 11:1–9

    CAS  Google Scholar 

  9. Deng HW, Ji JF, Lin HH, Liu P (2017) Analysis and evaluation of environmental carrying capacity based on the game theory-combination weighting model. Sci Technol Dev 12:953–962. https://doi.org/10.11842/chips.2017.12.001

    Article  Google Scholar 

  10. Du HL, Gao QZ, Li FX, Xiao HL (2002) The balance between supply and demand of water resources and water-saving potential for agriculture in the Hexi Corridor. J Nat Resour 12:23–29. https://doi.org/10.1007/s11769-002-0066-0

    Article  Google Scholar 

  11. Duan CQ, Liu CM, Chen XN, Liu WH, Zhen HX (2010) Preliminary research on regional water resources carrying capacity conception and method. Acta Geograph Sin 65:82–90. https://doi.org/10.11821/xb201001009

    Article  Google Scholar 

  12. Falkenmark M, Lundqvist J (1998) Towards water security: political determination and human adaptation crucial. Nat Resour Forum 21:37–51. https://doi.org/10.1111/j.1477-8947.1998.tb00708.x

    Article  Google Scholar 

  13. Feng LH, Huang CF (2008) A risk assessment model of water shortage based on information diffusion technology and its application in analyzing carrying capacity of water resources. Water Resour Manag 22:621–633. https://doi.org/10.1007/s11269-007-9182-z

    Article  Google Scholar 

  14. Fowler A, Ubels J (2010) The multi-faceted nature of capacity: two leading frameworks, capacity development in practice. Earthscan, London

    Google Scholar 

  15. Giupponi C, Mysiak J, Fassio A, Cogan V (2004) Mulino-DSS: a computer tool for sustainable use of water resources at the catchment Scale. Math Comput Simul 64:13–24. https://doi.org/10.1016/j.matcom.2003.07.003

    Article  Google Scholar 

  16. Gong YB (2012) Comprehensive assessment on ecological risk of Hexi Corridor urbanization based on normal cloud model and entropy weight. J Arid Land Resour Environ 26:169–173

    Google Scholar 

  17. Han GL, Liu CQ (2004) Water geochemistry controlled by carbonate dissolution: a study of the river waters draining karst-dominated terrain, Guizhou province, China. Chemi Geo 201:1–21. https://doi.org/10.1016/j.chemgeo.2003.09.009

    Article  CAS  Google Scholar 

  18. Harris JM, Kennedy S (1999) Carrying capacity in agriculture: global and regional issues. Ecol Econ 29:443–461. https://doi.org/10.1016/S0921-8009(98)00089-5

    Article  Google Scholar 

  19. Hu JH, Jing JM, Deng YL, Gao C (2018) Comprehensive assessment on water inrush hazard of railway tunnel based on AHP-Cloud model. Sci Technol Dev 4:311–317. https://doi.org/10.11842/chips.2018.04.014

    Article  Google Scholar 

  20. Hua XY, Tan JX (2004) Revised TOPSIS method based on vertical projection distance vertical projection method. Syst Eng-Theory & Pract 24:114–119. https://doi.org/10.3321/j.issn:1000-6788.2004.01.020

    Article  Google Scholar 

  21. Hunter C (1998) Perceptions of sustainable city and implications for fresh water resources management. Int J Environ Pollut 10:84–103

    Article  CAS  Google Scholar 

  22. Huo AD, Wang XF, Liang Y, Jiang C, Zheng XL (2019) Integrated numerical model for irrigated area water resources management. J Water Clim Chang Online. https://doi.org/10.2166/wcc.2019.042

  23. Jiang QX, Fu Q, Wang ZL (2011) Evaluation and regional differences of water resources carrying capacity in Sanjiang plain. T CSAE 27:184–190

    Google Scholar 

  24. Jiang DC, Xiao WH, Fan CY, Gong BY (2016) Research on water resources and water environment carrying capacities of Wuhan city circle. Resour & Env in the Ya- ngtze. Basin 25:761–768. https://doi.org/10.11870/cjyzyyhj201605009

    Article  Google Scholar 

  25. Jin JL, Dong T, Li JQ, Zhang LB, Li H (2018) Water resources carrying capacity evaluation method under different carrying standards. Adv Water Sci 29:31–39. https://doi.org/10.14042/j.cnki.32.1309.2018.01.004

    Article  Google Scholar 

  26. Juma DW, Wang HT, Li FT (2014) Impacts of population growth and economic development on water quality of a lake: case study of Lake Victoria Kenya water. Environ Sci Pollut Res 21:5737. https://doi.org/10.1007/s11356-014-2524-5

    Article  CAS  Google Scholar 

  27. Kong L, Liang H, He ZH (2007) Reviews on the study of water resources carrying capacity in Karst regions. Water Sci Eng Tech 6:65–68. https://doi.org/10.3969/j.issn.1672-9900.2007.06.002

    Article  Google Scholar 

  28. Kuykendtierna JL, Bjorklund G, Najlis P (1997) Sustainable water future with global implications: everyone’s responsibility. Nat Resour Forum 20:181–190. https://doi.org/10.1111/j.1477-8947.1997.tb00691.x

    Article  Google Scholar 

  29. Li DY, Du Y (2005) Artificial intelligence with uncertainty. National Defense Industry Press, Beijing

    Google Scholar 

  30. Li LJ, Guo HC, Chen B (2000) Water resources supporting capacity of Chaidamu Basin. Environ Sci 21:20–23

    CAS  Google Scholar 

  31. Li J, Wang MW, Xu P, Xu PC (2013) The cloud model for classification of stability of surrounding rock. Chin J Geotech Eng 36:83–87. https://doi.org/10.11779/CJGE201401006

    Article  CAS  Google Scholar 

  32. Li L, Jia L, Zhao XX, Fu GZ, Huang M (2014) Application of the AHP and ENTROP weight method in evaluation on city water environmental carrying capacity. Resour Environ Yangtze Basin 23:456–460. https://doi.org/10.11870/cjlyzyyhj201404002

    Article  Google Scholar 

  33. Li ZC, Zhou KP, Lin Y (2017) Comprehensive evaluation on spontaneous combustion tendency of sulfide ore based on RS-cloud model. J Safety Sci Techn 13:126–131. https://doi.org/10.11731/j.issn.1673-193x.2017.09.020

    Article  Google Scholar 

  34. Li L, Jiang P, Xu H, Lin G, Guo D, Wu H (2019) Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China. Environ Sci Pollut Res 26:19879–19896. https://doi.org/10.1007/s11356-019-05116-y

    Article  Google Scholar 

  35. Liu LY, Guan DJ, Yang QW, Su WC (2017) Influence factors of water resource security in karst area based on MIV-BP model. Bull Soil Water Conse 37:128–134. https://doi.org/10.13691/j.cnki.stbctb.2017.05.022

    Article  Google Scholar 

  36. Lopes C, Theisohn T (2003) Ownership, leadership and transformation. Can we do better for capacity development? Arthscan, London

    Google Scholar 

  37. Lu YR, Zhang FE, Liu CL, Tong GB, Zhang Y (2006) Karst water resources in typical areas of China and their eco-hydrological characteristics. Acta Geoscientica Sin- ica 27:393–402. https://doi.org/10.3321/j.issn:1006-3021.2006.05.002

    Article  CAS  Google Scholar 

  38. Luo PP, Mu DR, Xue H, Ngo-Duc T, Dang-Dinh K, Takara K, Nover D, Schladow G (2018) Flood inundation assessment for the Hanoi Central Area, Vietnam under historical and extreme rainfall conditions. Sci Rep-UK 8:12623. https://doi.org/10.1038/s41598-018-30024-5

    Article  CAS  Google Scholar 

  39. Luo PP, Kang SX, Apip ZMM, Lyu JQ, Aisyah S, Binaya M, Regmi RK, Nover D (2019) Water quality trend assessment in Jakarta: a rapidly growing Asian megacity. PLoS One 14(7):e0219009. https://doi.org/10.1371/journal.pone.0219009

    Article  CAS  Google Scholar 

  40. Luo PP, Sun YT, Wang ST, Wang SM, Lyu JQ, Zhou MM, Nakagami K, Takara K, Nover D (2020) Historical assessment and future sustainability challenges of Egyptian water resources management. J Clean Prod 263:121154. https://doi.org/10.1016/j.jclepro.2020.121154

    Article  Google Scholar 

  41. Lv TG, Wu CF, Li HY, Wang MQ (2017) Evaluation of water resources carrying capacity based on ecological footprint-a case study of karst region. Nat Resour Econ China 5:42–47. https://doi.org/10.3969/j.issn.1672-6995.2017.05.011

    Article  Google Scholar 

  42. Lyu JQ, Luo PP, Mo SH, Zhou MM, Shen B, Nover D (2019) A quantitative assessment of hydrological responses to climate change and human activities at spatiotemporal within a typical catchment on the Loess Plateau, China. Quat Int 527:1–11. https://doi.org/10.1016/j.quaint.2019.03.027

    Article  Google Scholar 

  43. Meng Y, Liu M, Guan XJ, Liu WK (2019) Comprehensive evaluation of ecological compensation effect in the Xiaohong River Basin, China. Environ Sci Pollut Res 26:7793–7803. https://doi.org/10.1007/s11356-019-04208-z

    Article  Google Scholar 

  44. Ofoezie IE (2002) Human health and sustainable water resources development in Nigeria: schistosomiasis in artificial lakes. Nat Resour Forum 26:150–160. https://doi.org/10.1111/1477-8947.00015

    Article  Google Scholar 

  45. Peng JY, Lu SY, Cao YM, Wang X, Hu XZ, Wang MH, Zheng BH (2019) A dualistic water cycle system dynamic model for sustainable water resource management through progressive operational scenario analysis. Environ Sci Pollut Res 26:16085–16096. https://doi.org/10.1007/s11356-019-04565-9

    Article  CAS  Google Scholar 

  46. Rahaman MM, Varis O (2005) Integrated water resources management: evolution, prospects and future challenges. Sustain Sci Pract Policy 1:15–21. https://doi.org/10.1080/15487733.2005.11907961

    Article  Google Scholar 

  47. Rijsberman MA, Ven F-H-M-V-D (2000) Different approaches to assessment of design and management of sustainable urban water system. Environ Impact Assess Rev 3:333–345. https://doi.org/10.1016/ss0195-9255(00)00045-7

    Article  Google Scholar 

  48. Saad A, Elginoz N, Babuna FG, Iskender G (2019) Life cycle assessment of a large water treatment plant in Turkey. Environ Sci Pollut Res 26:14823–14834. https://doi.org/10.1007/s11356-018-3826-9

    Article  CAS  Google Scholar 

  49. Shi YF, Qu YG (1992) Water resources carrying capacity and rational development and utilization of Urumchi River. Science Press, Beijing

    Google Scholar 

  50. Song XM, Kong FZ, Zhan CS (2011) Assessment of water resource carrying capacity in Tianjin City of China. Water Resour Manag 25:857–873. https://doi.org/10.1007/s11269-010-9730-9

    Article  Google Scholar 

  51. Su WC (2008) Groundwater resources and their ways of development in Guizhou karst region. Res Soil Water Conserv 15:267–269

    Google Scholar 

  52. Su YJ, Wang H, Kong SQ (2017) Evaluation of regional water resources carrying capacity based on projection Tracking-Matter-Element extension model. Water Sav ing Irrig 2:80–89. https://doi.org/10.3969/j.issn,1007-4929.2017.02.019

    Article  Google Scholar 

  53. Tian SC, Zhang DT, Yang XB, Kong WJ (2018) Comprehensive evaluation of coal mine safety status based on TOPSIS model of game theory combination. Saf Coal Mines 49:242–245. https://doi.org/10.13347/j.cnki.mkaq.2018.06.061

    Article  Google Scholar 

  54. Ubels J, Fowler A, Acquaye-Baddoo NA (eds) (2010) Capacity development in practice. Earthscan, London

    Google Scholar 

  55. Wang DX, Wang H, Ma J (2001) Water resources supporting capacity for China’s regional development. Water Resour Plann Design 4:17–22

    Google Scholar 

  56. Wang S, Yang FL, Xu L (2013) Multi-scale analysis of the water resources carrying capacity of the Liao he Basin based on ecological footprints. J Clean Prod 53(1):58–166. https://doi.org/10.1016/j.jclepro.2013.03.052

    Article  CAS  Google Scholar 

  57. Wang JY, Li ZY, Yu J (2014) Water resources carrying capacity evaluation based on Γ-type distribution function. J Nat Resour 5:868–874. https://doi.org/10.11849/zrzyxb.2014.05.014

    Article  Google Scholar 

  58. Wang YC, Jing HW, Zhang Q, Wei LY, Xu ZM (2015) A normal cloud model-based study of grading prediction of rockburst intensity in deep underground engineering. Rock Soil Mech 36:1190–1193. https://doi.org/10.16285/j.rsm.2015.04.037

    Article  CAS  Google Scholar 

  59. Wang JH, Jiang DC, Xiao WH, Zhao Y, Wang H (2016) Assessment method of water resources carrying capacity based on dynamic trial calculation and feedback: a case study on the Yihe River (Linyi section). J Hydroelectric Eng 47:724–732. https://doi.org/10.13243/j.cnki.slxb.20151021

    Article  Google Scholar 

  60. Wang JH, Zhai ZL, Sang XF, Li HH (2017a) Study on index system and judgement criterion of water resources carrying capacity. J Hydraul Eng 48:1023–1029. https://doi.org/10.13243/j.cnki.slxb.20170377

    Article  Google Scholar 

  61. Wang SL, Chi HH, Yuan HN, Geng J (2017b) Extraction and representation of common feature from uncertain facial expressions with cloud model. Environ Sci Pollut Res 24:27778–27787. https://doi.org/10.1007/s11356-017-0237-2

    Article  Google Scholar 

  62. Wang ZH, Yin XL, Wan L, Xu CM, Zhang MJ (2019) Dynamics of nitrogen, phosphorus, and organic pollutant losses from a small watershed in the drinking-water source protection area in Guiyang City of Southern China. Environ Sci Pollut Res 26:1791–1808. https://doi.org/10.1007/s11356-018-3721-4

    Article  CAS  Google Scholar 

  63. Wei XM, Wang JY, Wu SG, Xin X, Wang ZL, Liu W (2019) Comprehensive evaluation model for water environment carrying capacity based on VPOSRM framework: a case study in Wuhan, China. Sustain Cities Soc 50:1–8. https://doi.org/10.1016/j.scs.2019.101640

    Article  Google Scholar 

  64. Xia J, Zhu YZ (2002) The measurement of water resources security: a study and challenge on water resources carrying capacity. J Nat Resour 17:262–269. https://doi.org/10.3321/j.issn:1000-3037.2002.03.002

    Article  Google Scholar 

  65. Xu ZM, Cheng GD (2000) The predicted demand of water resources in the middle reaches of the Heihe River from 1995 to 2050. J Glaciol Geocryol 22:139–146. https://doi.org/10.1109/ICEPE.2012.6463575

    Article  Google Scholar 

  66. Xu XY, Wang H, Gan H (1997) The method and the theory of macro-economy water resources planning in north China. Yellow River Conservancy Press, Zhengzhou

    Google Scholar 

  67. Xu LF, Feng GZ, Liu JM (2002) Sustainable use of water resources in the region and evaluation index system. J Northwest A F Univ (Nat Sci E) 20:119–122 https://doi.CNKI:SUN:XBNY.0.2002-02-0 31

    CAS  Google Scholar 

  68. Yang JZ, Zhou X, Cai ZR, Xu YX, Jiang X (2018) Evaluation of sustainable utilization of water resources in karst city (Guiyang city). Water Resour Power 2:26–39

    Google Scholar 

  69. Yang JT, Zhang HB, Ren CF, Nan ZL, Wei XW, Li C (2019) A cross-reconstruction method for step-changed runoff series to implement frequency analysis under changing environment. Int J Env Res Pub He 16:4345. https://doi.org/10.3390/ijerph16224345

    Article  Google Scholar 

  70. Yao XL, Deng HW, Zhang T, Qin YG (2019) Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model. PLoS One 14:e0224312. https://doi.org/10.1371/journal.pone.0224312

    Article  CAS  Google Scholar 

  71. Zai SM, Wen J, Wu F, Sun H (2011) Evaluation of water resources carrying capacity in Xinxiang city. J Hydroelectric Eng 39:783–788. https://doi.org/10.13243/j.cnki.slxb.2011.07.008

    Article  Google Scholar 

  72. Zhang ZX, Ma Q (2015) Study on agricultural water resources carrying capacity based on fuzzy comprehensive evaluation, case of Beilin district, Suihua city. J Hydroelectric Eng 34:49–54

    Google Scholar 

  73. Zhang JY, Wang LC, Ma XX, Zhang L (2014) Groundwater pollution and controlling measures in karst mountainous areas of southwestern China. Bull Soil Water Conserv 34:245–249. https://doi.org/10.13961/j.cnki.stbctb.2014.02.051

    Article  Google Scholar 

  74. Zhang W, Feng T, Wu J, Ma CF (2016) Gas explosion risk assessment in coal mines based on catastrophe progression method. Miner Eng Res 1:41–45. https://doi.org/10.13582/j.cnki.1674-5876.2016.01.008

    Article  Google Scholar 

  75. Zhang LJ, Kang Y, Su XL (2019a) Water resources carrying capacity evaluation of Yellow River basin based on normal cloud model. Water Saving Irrig 1:76–82

    Google Scholar 

  76. Zhang Q, Li SS, Xia HL (2019b) A study on water resource carrying capacity of three provinces in northeast China based on fuzzy comprehensive evaluation model. Bull Soil Water Conserv 39:179–188. https://doi.org/10.13961/j.cnki.stbctb.2019.05.025

    Article  Google Scholar 

  77. Zhao GY, Liang WZ, Hong CS (2015) Improved cloud model for two dimensional stability evaluation of goaf. China Saf Sci J 10:102–108. https://doi.org/10.16265/j.cnki.issn1003-3033.2015.10.017

    Article  Google Scholar 

  78. Zheng Y, Hou HB, Chen DC, Yang Y (2016) Analysis and countermeasures of water resources demand and supply in Guiyang city. China Water Resour 15:48–50. https://doi.org/10.3969/j.issn.1000-1123.2016.15.017

    Article  Google Scholar 

  79. Zhou LG, Liang H (2006) Research on assessment of water resources carrying capacity in karst area-a case study of Guizhou province. Carsologica Sin 25:23–28. https://doi.org/10.3969/j.issn.1001-4810.2006.01.005

    Article  CAS  Google Scholar 

  80. Zhou YZ, Su XL (2017) Water security evaluation based on normal cloud model with normalized indexes. J N China Univ Water Resour Electr Power (Nat Sci) 38:18–24. https://doi.org/10.3969/j.issn.1002-5634.2017.04.003

    Article  Google Scholar 

  81. Zhou KP, Lin Y, Deng HW, Li JL (2016a) Prediction of rock burst classification using cloud model with entropy weight. T Nonferr Metal Soc 26:1995–2002. https://doi.org/10.1016/S1003-6326(16)64313-3

    Article  Google Scholar 

  82. Zhou KP, Lin Y, Hu JH, Zhou YL (2016b) Grading prediction of rockburst intensity based on entropy and normal cloud model. Rock Soil Mech 37:596–602. https://doi.org/10.16285/j.rsm.2016.S1.078

    Article  Google Scholar 

  83. Zhu YZ, Xia J, Tan G (2002) A primary study on the theories and process of water resources carrying capacity. Prog Geogr 2:87–95

    CAS  Google Scholar 

  84. Zhu YZ, Xia J, Tan G (2003) Measurement and evaluation of water resources carrying capacity of northwest China. Resour Sci 25:43–48. https://doi.org/10.3321/j.issn:1007-7588.2003.04.008

    Article  Google Scholar 

  85. Zuo QT, Zhang XY (2015) Dynamic carrying capacity of water resources under climate change. J Hydroelectric Eng 46:387–395. https://doi.org/10.13243/j.cnki.slxb.2015.04.002

    Article  Google Scholar 

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Acknowledgments

We sincerely thank the editors and reviewers for their patience and comments.

Funding

This study was financially supported by National Natural Science Foundation of the People’s Republic of China (grant nos. 51774323 and 41502327).

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Correspondence to Hongwei Deng.

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Peng, T., Deng, H. Comprehensive evaluation on water resource carrying capacity in karst areas using cloud model with combination weighting method: a case study of Guiyang, southwest China. Environ Sci Pollut Res (2020). https://doi.org/10.1007/s11356-020-09499-1

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Keywords

  • Water resource carrying capacity (WRCC)
  • Karst area
  • Sustainable development
  • Cloud model
  • Combination weighting method
  • Guiyang