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GIS-Based Synthetic Measurement of Sustainable Development in Loess Plateau Ecologically Fragile Area—Case of Qingyang, China

机译：基于GIS的黄土高原生态脆弱区可持续发展综合测度-以庆阳市为例

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摘要

Synthetic measurement of regional sustainable development has been one of the key issues in the research field of sustainability. In this paper, Qingyang City located in the Loess Plateau ecologically fragile area of Northwest China is used for a case study, and the present study aims to investigate the degree of sustainable development by conducting temporal- and spatial-scale based analysis, with the assessment index system, assessment model and GIS approach well integrated. The results show that the development pattern of Qingyang generally fits the mode of unsustainable development, even in the presence of certain levels of spatial differences. The sustainable development state in ecologically fragile area of China’s Loess Plateau is non-optimistic, which is an uncoordinated status among subsystems of regional sustainable development. Although the level and tendency of regional sustainable development keeps increasing, such enhancement is abnormal. With the rapid deterioration of environmental and natural resources, their inhibitory effect on the economy and society would expand, eventually leading to the slow development rate or the recession of the entire system. The only solution is to change the traditional mode of economic development, to follow the guide of ecological economic conception so that the goal of achieving regional sustainable development strategies could be met ultimately. Meanwhile, the characteristics of different regions should be taken into account in order to achieve optimal spatial structure.
机译：区域可持续发展的综合测度一直是可持续性研究领域的关键问题之一。本文以西北黄土高原生态脆弱区的庆阳市为例，以时空尺度分析为基础，探讨可持续发展程度。指标体系，评估模型和GIS方法很好地集成在一起。结果表明，即使存在一定程度的空间差异，庆阳市的发展格局也普遍适合不可持续发展的格局。中国黄土高原生态脆弱地区的可持续发展状态不乐观，这是区域可持续发展子系统之间的不协调状态。尽管区域可持续发展的水平和趋势不断提高，但这种增强是异常的。随着环境和自然资源的迅速恶化，它们对经济和社会的抑制作用将扩大，最终导致发展速度缓慢或整个系统的衰退。唯一的解决办法是改变传统的经济发展方式，遵循生态经济概念的指导，最终实现实现区域可持续发展战略的目标。同时，应考虑不同区域的特征以获得最佳的空间结构。

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