随着现有城市适应气候变化,动态系统分析能否有助于建设可持续的未来?

Amit Ghosh
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引用次数: 0

摘要

“收集的数据显示,灾害流离失所是一个全球性问题,对高收入国家和低收入国家都有影响。2008年至2018年期间,平均每年新增2400万流离失所者,是因冲突和暴力而流离失所者人数的三倍[1]。联合国下属的世界气象组织(World Meteorological Organization)估计,瑞士冰川在2022年损失了6%的体积[2]。对于夏季旅游来说,这是个好消息。这意味着一个更长的季节,更多的旅游和更多的企业收入。气候变化带来的短期好处带来了更高的成本;更小的冰川意味着更少的饮用水,更少的作物用水和更少的水力发电。本文通过分析“原因”和“影响”的相互关系、幅度和时间依赖性,概述了城市如何缓和气候变化的影响,采用基于自然的补救措施,并确保当地人口的可持续未来。认识到气候风险受到具有非线性关系的向量的影响,本文提出了一种动态系统方法,用于易发生此类风险的地区的城市发展和规划。与气候有关的风险,如气温上升影响到通常低技能工人的户外工作,或沿海洪水提高了重建成本,从而减少了住房存量,使一些穷人无家可归,犯罪和吸毒是相互关联的,就像在一个动态系统中一样,随着时间的推移而发生规模变化。需要对这些向量进行解释和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
As Existing Cities Adapt to Climate Change Can Dynamic Systems Analysis be Useful in Building a Sustainable Future?
“The data collected shows that disaster displacement is a global issue that affects high and low-income countries alike. An average of 24 million new displacements a year were recorded between 2008 and 2018, three times the figure for people displaced by conflict and violence [1].” (Ponserre 2019, 6) ABSTRACT The World Meteorological Organization, an arm of the United Nations, estimates that Swiss glaciers lost 6% of their volume in 2022 [2]. For summer tourism, this is good news. This means a longer season, more tours and more income for businesses. There are steeper costs that come with such short-term benefit of climate change; smaller glaciers mean less drinking water, less water for the crops and less hydroelectricity. This paper outlines how cities may moderate the effects of climate change, adapt nature-based remedies and assure a sustainable future for local populations by analyzing the cross-correlation, magnitude and time-dependence of the “causes” and “effects”. Recognizing that climate-risks are influenced by vectors with non-linear relationship, this paper proposes a dynamic systems approach to urban development and planning in areas prone to such risks. Climate-related risks, such as rise in temperature impacting outside work for typically low-skilled workers or coastal flooding which raises rebuilding costs and thus shrinks the housing stock, push some of the poor to homelessness, crime and drug abuse are interconnected as in a dynamic system, changing with time in scale. Such vectors need to be accounted for and analyzed accordingly.
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