1. 黄河水利委员会 黄河水利科学研究院,河南,郑州,450003
2. 水利部 黄河下游河道与河口治理重点实验室,河南,郑州,450003
纸质出版:2023
移动端阅览
王广州, 窦身堂, 凡姚申, 等. 黄河下游地区水资源生态足迹时空分析与预测[J]. 水土保持通报, 2023,43(1):117-123.
Wang Guangzhou, Dou Shentang, Fan Yaoshen, et al. Spatiotemporal Analysis and Prediction of Ecological Footprint of Water Resources in Lower Reaches of Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 117-123.
王广州, 窦身堂, 凡姚申, 等. 黄河下游地区水资源生态足迹时空分析与预测[J]. 水土保持通报, 2023,43(1):117-123. DOI: 10.13961/j.cnki.stbctb.2023.01.014.
Wang Guangzhou, Dou Shentang, Fan Yaoshen, et al. Spatiotemporal Analysis and Prediction of Ecological Footprint of Water Resources in Lower Reaches of Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 117-123. DOI: 10.13961/j.cnki.stbctb.2023.01.014.
[目的
]
评价黄河下游水资源生态承载状态,为地区水资源管理与规划提供理论依据。[方法
]
运用水资源生态足迹理论结合对数均值迪式指数分解法(logarithmic mean divisia index,LMDI)对2007—2020年黄河下游水资源生态足迹的时空分布特征及驱动机制进行核算分析,并通过灰色预测模型GM(1,1)对2021—2030年的水资源生态足迹变化趋势进行预测。[结果
]
黄河下游历年水资源生态足迹远高于生态承载力,水资源生态赤字现象严重;水资源生态足迹与生态赤字年际间均呈波动降低趋势,用水效率逐渐提高,农业用水是最大的水资源生态足迹账户;黄河三角洲是黄河下游水资源生态压力最大的区域,淄博、济南、郑州和泰安4市的生态压力相对较小;经济效应对黄河下游水资源生态足迹变化起正向主导作用,技术效应起负向主导作用;预测结果表明,2021—2030年黄河下游人均水资源生态赤字由0.387 hm
2
/人降至0.359 hm
2
/人。[结论
]
在生产力快速发展和用水结构优化调整等综合作用下,黄河下游地区用水效率逐渐提高,水资源生态压力有一定幅度的缓解。但由于该区域水资源生态赤字基数较大,未来水资源可持续利用形势依旧十分严峻,亟待进一步加强水资源的统筹管理,助力黄河下游地区高质量可持续发展。
[Objective] The ecological carrying capacity of water resources in the lower reaches of the Yellow River basin was evaluated in order to provide a theoretical basis for regional water resource management and planning. [Methods] The spatial and temporal distribution characteristics and driving mechanism of the ecological footprint of water resources in the lower reaches of the Yellow River basin from 2007 to 2020 were calculated and analyzed using the theory of ecological footprint of water resources and the logarithmic mean Divisia index method (LMDI)
The grey forecasting model GM(1
1) was applied to predict the change trend of the ecological footprint of water resources from 2021 to 2030. [Results] The ecological footprint of water resources in the lower reaches of the Yellow River over the study years was much greater than the ecological carrying capacity
and the ecological deficit of water resources was serious. Both the ecological footprint of water resources and the ecological deficit showed a fluctuating and decreasing trend over years
and the efficiency of water use was gradually improving. Agricultural water consumption was the largest factor accounting for the ecological footprint of water resources. The Yellow River Delta was the area with the greatest ecological pressure on water resources in the lower reaches of the Yellow River basin. Zibo
Jinan
Zhengzhou
and Tai’an City had relatively little ecological pressure. The economic effect had a major positive role in the change of the ecological footprint of water resources in the lower reaches of the Yellow River basin
and the technical effect had a major negative role. The forecast results indicated that the ecological deficit of water resources per capita in the lower reaches of the Yellow River basin would decrease from 0.387 to 0.359 hm2/person from 2021 to 2030. [Conclusion] The water use efficiency in the lower reaches of the Yellow River basin has gradually increased over time
and the ecological pressure on water resources has been relieved to a certain extent under the comprehensive effects of rapid development of productivity and optimization and adjustment of water-using structures. However
the sustainable utilization of water resources in the future is still under very serious pressure due to the large deficit in the ecological base of water resources in this region. It is therefore urgent to further strengthen the overall management of water resources in order to help the lower reaches of the Yellow River basin achieve high-quality sustainable development.
徐珊,夏丽华,陈智斌,等.基于生态足迹法的广东省水资源可持续利用分析[J].南水北调与水利科技,2013,11(5):11-15.
赵自阳,李王成.基于生态足迹的河南省水资源评价分析[J].节水灌溉,2016(12):80-84.
汪伦焰,黄昕,李慧敏.基于CW-FSPA的黄河流域九省水资源承载力评价研究[J].中国农村水利水电,2021(9):67-75.
刘丽颖,官冬杰,杨清伟,等.基于人工神经网络的喀斯特地区水资源安全评价[J].水土保持通报,2017,37(2):207-214.
李新,石建屏,曹洪.基于指标体系和层次分析法的洱海流域水环境承载力动态研究[J].环境科学学报,2011,31(6):1338-1344.
李菲,张小平.甘肃省水资源生态足迹和生态承载力时空特征[J].干旱区地理,2020,43(6):1486-1495.
Rees W E. Revisiting carrying capacity: Area-based indicators of sustainability [J]. Population and Environment, 1996,17(3):195-215.
岳晨,刘峰,杨柳,等.北京市2010—2019年水资源生态足迹和生态承载力[J].水土保持通报,2021,41(3):291-295.
徐中民,张志强,程国栋.甘肃省1998年生态足迹计算与分析[J].地理学报,2000,55(5):607-616.
黄佳,徐晨光,满洲.基于生态足迹的山东省水资源承载力研究[J].人民长江,2019,50(2):115-121.
黄林楠,张伟新,姜翠玲,等.水资源生态足迹计算方法[J].生态学报,2008,28(3):1279-1286.
杜轶,郭青霞,张勇.2种不同算法的水资源生态足迹动态比较分析:以山西省为例[J].水土保持学报,2021,35(4):165-171.
马剑锋,秦腾,佟金萍.干旱区水资源生态足迹变动及影响因素的分析[J].统计与决策,2016(18):100-103.
金昌盛,邓仁健,刘俞希,等.长江经济带水资源生态足迹时空分析及预测[J].水资源与水工程学报,2018,29(4):59-66.
赵金辉,连兴容,陈欣怡,等.匹配黄河流域高质量发展的工业布局模式研究[J].人民黄河,2021,43(4):18-23.
张金萍,肖宏林.黄河流域灌区农业用水研究发展历程与展望[J].灌溉排水学报,2020,39(10):9-17.
董战峰,璩爱玉,冀云卿.高质量发展战略下黄河下游生态环境保护[J].科技导报,2020,38(14):109-115.
刘建华,黄亮朝.黄河下游水资源利用与高质量发展关联评估[J].水资源保护,2020,36(5):24-30.
王慧亮,李卓成.基于能值水生态足迹模型的黄河流域水资源利用评价[J].水资源保护,2022,38(1):147-152.
陈丽,周宏.基于模糊综合评价和主成分分析法的岩溶流域水资源承载力评价[J].安全与环境工程,2021,28(6):159-173.
路瑞,赵琰鑫.基于水资源生态足迹的黄河流域水资源利用评价[J].人民黄河,2020,42(11):48-52.
左其亭,姜龙,冯亚坤,等.黄河沿线省区水资源生态足迹时空特征分析[J].灌溉排水学报,2020,39(10):1-8.
卢亚丽,徐帅帅,司保江,等.黄河流域九省(区)水资源环境承载力动态演变特征研究[J].人民黄河,2021,43(11):103-108.
涂正革,谌仁俊.工业化、城镇化的动态边际碳排放量研究:基于LMDI“两层完全分解法”的分析框架[J].中国工业经济,2013(9):31-43.
马景,武周虎,邹艳均,等.基于灰色马尔科夫模型的南四湖水质预测[J].水资源保护,2021,37(5):153-158.
康春涛,贡力,王忠慧,等.利用灰色残差GM(1,1)-Markov模型预测水工混凝土的劣化[J].水利水运工程学报,2021(1):95-103.
李志超,刘升.基于ARIMA模型、灰色模型和回归模型的预测比较[J].统计与决策,2019,35(23):38-41.
段文婷,陈有川,张洋华,等.黄河下游地区农村居民点数量变化的时空特征及其影响因素研究[J].城市发展研究,2021,28(6):19-24.
燕永芳.黄河下游两岸沿线城市水—能源—粮食耦合系统协调性研究[D].河南郑州:华北水利水电大学,2021.
雷亚君,张永福,张敏惠,等.新疆水资源生态足迹核算与预测[J].干旱地区农业研究,2017,35(5):142-150.
周召红,吴江.县域经济社会发展与水资源时空差异关系分析:以宜昌市为例[J].人民长江,2021,52(9):101-106.
0
浏览量
743
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621