Spatial-temporal Variation of Water Ecological Characteristics of Guangxi Zhuang Autonomous Region and Its Driving Factors Based on Ecological Footprint Model
|更新时间:2025-03-12
|
Spatial-temporal Variation of Water Ecological Characteristics of Guangxi Zhuang Autonomous Region and Its Driving Factors Based on Ecological Footprint Model
Bulletin of Soiland Water ConservationVol. 40, Issue 6, Pages: 297-302(2020)
Mo Chongxun, Zhao Shutan, Ruan Yuli, et al. Spatial-temporal Variation of Water Ecological Characteristics of Guangxi Zhuang Autonomous Region and Its Driving Factors Based on Ecological Footprint Model[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 297-302.
DOI:
Mo Chongxun, Zhao Shutan, Ruan Yuli, et al. Spatial-temporal Variation of Water Ecological Characteristics of Guangxi Zhuang Autonomous Region and Its Driving Factors Based on Ecological Footprint Model[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 297-302. DOI: 10.13961/j.cnki.stbctb.2020.06.042.
Spatial-temporal Variation of Water Ecological Characteristics of Guangxi Zhuang Autonomous Region and Its Driving Factors Based on Ecological Footprint Model
[Objective] The temporal and spatial variations of the water ecological characteristics of Guangxi Zhuang Autonomous Region in recent 10 years
and the driving factors of the water ecological footprint changes were studied in order to provide reference for the rational development
utilization and management of water resources of Guangxi Zhuang Autonomous Region or similar regions.[Methods] Based on the water resources consumption ecological footprint
water resources ecological carrying capacity and water ecological capacity indexes in the ecological footprint model
the temporal and spatial variations of the water ecological characteristics in the study area from 2008 to 2017 were analyzed. LMDI model was used to analyze the driving factors of the ecological footprint changes and the contribution rate of each prefecture-level city in the key driving factor.[Results] ① The ecological footprint of water resources per capita presented an overall downward trend
with an average decline rate of -0.017 4 hm2/(person·year). The water resources ecological carrying capacity and water resources ecological capacity showed a fluctuating upward trend
with the average rising rate of 0.324 6 hm2/(person·year) and 0.342 1 hm2/(person·year) respectively. All of them showed a certain differences and imbalances in space. ② Economic effect and population effect were the first and second factors to promote the growth of the water ecological footprint in the study area
contributing efficiency of 191.8% and 25.38% respectively. Technical effect and structural effect were the first and second factors restraining the water ecological footprint growth
with contributing efficiency of -238.0% and -79.18% respectively. ③ Nanning City and Guilin City contributed the most to reduce the water resources consumption ecological footprint in terms of structural effect and technical effect.[Conclusion] The ecological capacity of water resources in Guangxi Zhuang Autonomous Region was in an ecological surplus state. However
great differences existed among different cities in urban development and planning
so countermeasures should be taken according to local conditions.
Wang Huan, Huang Jiejun, Zhou Han, et al. Analysis of sustainable utilization of water resources based on the improved water resources ecological footprint model:A case study of Hubei Province, China[J]. Journal of Environmental Management, 2020, 262:110331.
Li Hui, Zhao Fen, Li Chunhui, et al. An improved ecological footprint method for water resources utilization assessment in the cities[J]. Water, 2020, 12(2):503.
Hoekstra R, Vander B C S. Index decomposition analysis[J]. Energy Economics, 2003, 25(1):39-64.
Ang B W, Huang H C, Mu A R. Properties and linkages of some index decomposition analysis methods[J]. Energy Policy, 2009, 37(11):4624-4632.
Zhao Chunfu, Chen Bin. Driving force analysis of the agricultural water footprint in China based on the LMDI method[J]. Environmental science & technology, 2014, 48(21):12723-12731.
Lei Hongjun, Xia Xunfeng, Li Changjia, et al. Decomposition analysis of wastewater pollutant discharges in industrial sectors of China (2001-2009) using the LMDI I method[J]. International Journal of Environmental Research and Public Health, 2012, 9(6):2226-2240.
Ang B W, Xu X Y, Su Bin. Multi-country comparisons of energy performance:The index decomposition analysis approach[J]. Energy Economics, 2015, 47:68-76.