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Evaluation and analysis of ecological security in arid areas of Central Asia based on the emergy ecological footprint (EEF) model

机译:基于闻名生态足迹(EEF)模型的中亚干旱地区生态安全评价与分析

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摘要

Though well-positioned geographically to benefit from China's Silk Road Economic Belt initiative, Central Asia nevertheless suffers from a fragile ecological environment. Therefore, it is crucially important for the five Central Asian countries of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan to achieve sustainable development of their respective social economies and ecological environments through the evaluation of their ecological security. This paper applies the modified emergy ecological footprint (EEF) model to optimize the traditional ecological footprint model by analyzing and evaluating the ecological security of Central Asia during the time frame of 1992-2014. The paper will also use the autoregressive integrated moving average (ARIMA) model to forecast changes which might occur during 2020-2025. The results indicate that the EEF mainly decreased from 1992 to 1998 but then gradually increased from 1999 onwards, with Kazakhstan and Turkmenistan showing the largest change rates of 3.93% and 2.77%, respectively, from 1999 to 2014. The highest EEF occurred in Turkmenistan (20.27 hm(2)/cap), followed by Kazakhstan (19.19 hm(2)/cap), with Tajikistan registering the lowest (2.96 hm(2)/cap). In Kazakhstan, Turkmenistan and Uzbekistan, fossil energy consumption footprints contributed the most to total EEFs, at 38.34%, 57.06% and 46.52%, respectively, while grassland (51.52%) and building land (50.49%) contributed the most to Kyrgyzstan's and Tajikistan's total EEFs, respectively. The emergy ecological carrying capacity (EEC) largely decreased in all five Central Asian countries, with the largest decrease occurring in Turkmenistan at annual average change rates of -1.93%. The highest EEC was in Kazakhstan (30.36 hm(2)/cap), followed by Turkmenistan (15.85 hm(2)/cap), while the lowest occurred in Uzbekistan (2.86 hm(2)/cap). Additionally, during the period under study, the ecological surpluses and deficits in Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan were 11.18, 2.21, 2.04, -4.42 and -7.57 hm(2)/cap, respectively, with the largest ecological deficit occurring in Uzbekistan. There was also a persistent rise in ecological pressure in all five countries, especially in Turkmenistan and Uzbekistan. Furthermore, the ARIMA model forecasts that Kazakhstan, Kyrgyzstan and Tajikistan will change from ecological surpluses to ecological deficits from 2020 onwards, and that the ecological pressure grades for these countries will rise to level 3 (relatively unsafe). Turkmenistan and Uzbekistan are forecast to be at level 1 (at risk). The significance of this research is optimizing the ecological footprint model and applying it in Central Asia for the first time. The work also quantitatively investigates Central Asia's ecological footprint and ecological carrying capacity on both a national and regional basis and evaluates the ecological security of each country. Overall, this research not only provides guidance for decision-makers to develop sustainable strategies in Central Asia, but also serves as a scientific reference for other arid regions to pursue ecological security and sustainable development. (C) 2019 Elsevier Ltd. All rights reserved.
机译:虽然地理位置优越地受益于中国丝绸之路经济带倡议,但中亚尽管存在脆弱的生态环境。因此,对于哈萨克斯坦,吉尔吉斯斯坦,塔吉克斯坦,土库曼斯坦和乌兹别克斯坦的五个中亚国家来说至关重要,通过评估其生态安全来实现各自的社会经济体和生态环境的可持续发展。本文采用修改的智能生态足迹(EEF)模型,通过分析和评估1992 - 2014年中亚的生态安全,优化传统的生态足迹模型。本文还将使用自回归综合移动平均(ARIMA)模型来预测在2020-2025期间可能发生的变化。结果表明,欧盟署主要从1992年到1998年下降,但随后从1999年开始逐渐增加,哈萨克斯坦和土库曼斯坦分别从1999年到2014年的最大变化率为3.93%和2.77%。最高欧盟发生在土库曼斯坦( 20.27 HM(2)/章),其次是哈萨克斯坦(19.19姆(2)/帽),塔吉克斯坦注册最低(2.96米(2)/帽)。在哈萨克斯坦,土库曼斯坦和乌兹别克斯坦,化石能源消耗占地面积最多促成了总EEF,分别为38.34%,57.06%和46.52%,而草原(51.52%)和建筑物土地(50.49%)为吉尔吉斯斯坦和塔吉克斯坦贡献了最多的贡献总eefs。所有五个中亚国家的最佳生态携带能力(EEC)在很大程度上减少,在土库曼斯坦的年平均变化率下降至1.93%的最大减少。最高EEC在哈萨克斯坦(30.36米(2)/帽子),其次是土库曼斯坦(15.85米(2)/章),而乌兹别克斯坦最低发生(2.86千米(2)/章)。此外,在研究期间,哈萨克斯坦,吉尔吉斯斯坦,塔吉克斯坦,土库曼斯坦和乌兹别克斯坦的生态盈余和赤字分别为11.18,2.21,2.04,-4.42和-7.57 HM(2)/帽,具有最大的生态赤字在乌兹别克斯坦。所有五个国家也存在持续的生态压力升高,特别是在土库曼斯坦和乌兹别克斯坦。此外,Arima模型预测,哈萨克斯坦,吉尔吉斯斯坦和塔吉克斯坦将从2020年开始从生态盈余到生态缺陷,而这些国家的生态压力等级将升至3级(相对不安全)。预计土库曼斯坦和乌兹别克斯坦将在1级(面临风险)。该研究的意义是优化生态足迹模型,并首次在中亚应用。这项工作还定量调查了国家和区域基础上的中亚生态足迹和生态承载能力,并评估了每个国家的生态安全。总体而言,这项研究不仅为决策者提供了制定中亚可持续战略的指导,而且还担任其他干旱地区的科学参考,以追求生态安全和可持续发展。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第20期|664-677|共14页
  • 作者单位

    Chinese Acad Sci State Key Lab Desert & Oasis Ecol Xinjiang Inst Ecol & Geog Urumqi 830011 Peoples R China|Xinjiang Univ Coll Resource & Environm Sci Urumqi 830046 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

    Chinese Acad Sci State Key Lab Desert & Oasis Ecol Xinjiang Inst Ecol & Geog Urumqi 830011 Peoples R China;

    Xinjiang Univ Coll Resource & Environm Sci Urumqi 830046 Peoples R China;

    Chinese Acad Sci State Key Lab Desert & Oasis Ecol Xinjiang Inst Ecol & Geog Urumqi 830011 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ecological security evaluation; Emergy ecological footprint model; ARIMA model; Central Asia;

    机译:生态安全评估;绩效生态足迹模型;Arima模型;中亚;

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