Quantification of green-blue ratios, impervious surface area and pace of urbanisation for sustainable management of urban lake – land zones in India -a case study from Bengaluru city

IF 3.9 2区 社会学 Q1 URBAN STUDIES
Harini Santhanam, Rudrodip Majumdar
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引用次数: 7

Abstract

Quantification of the ecosystem services of blue and green infrastructure in urban centres with the perspective of planning sustainable development is usually data-intensive, includes use of multi-platform datasets and adds to the complexities in deriving effective and reproducible metrics. The present study describes the creation of four simple metrics to estimate: 1. the ratio of ‘green’ vegetated areas to the ‘blue’ water spread areas, defined as the ‘Green-blue ratio’ (GBA); 2. The ratio of ‘blue’ water spread areas to ‘built-up’ ratio around the lakes, defined as the ‘Blue to Built-up ratio’ (BBA), 3. the percentage of impervious surface area (ISA) and 4. the pace of urbanisation in the dynamic zones (DZ) of urban lake environments. These new metrics were evaluated using landcover areas mapped from satellite imageries. Visual interpretation-based method was adopted to delineate the green, blue and built-up areas from Google Earth, which is suitable for wide range of users. The use of these metrics has been illustrated using available datasets for four representative lakes in Bengaluru city, India: Sankey tank, Ulsoor lake, Nagavarakere and Puttenahallikere. Significant spatio-temporal variations in the ratios of GBA and BBA as well as %ISA were observed and satisfactorily reflected the ecological status of these lakes in concurrence with earlier studies. Detailed analyses constrained a permissible rate of annual increase in the built-up area within the DZs to ∼ 3% for sustainable development of the lakes. The present set of metrics can be recommended as useful tools for urban planners and citizen scientists for seasonal monitoring of urban lake environments.

印度城市湖泊陆域可持续管理的绿蓝比、不透水表面积和城市化速度的量化——以班加罗尔市为例
从规划可持续发展的角度对城市中心蓝色和绿色基础设施的生态系统服务进行量化,通常需要大量数据,包括使用多平台数据集,并增加了得出有效和可重复指标的复杂性。本研究描述了四个简单的评估指标的创建:“绿色”植被面积与“蓝色”水域面积的比例,定义为“绿蓝比”(GBA);2. 湖泊周围的“蓝色”水扩散面积与“建筑”水的比例,定义为“蓝色与建筑比例”(BBA), 3。不透水面面积百分比(ISA)和4。城市湖泊环境动态带(DZ)的城市化速度。利用卫星图像绘制的土地覆盖面积对这些新指标进行了评估。采用基于视觉解译的方法,从谷歌Earth上圈定绿色、蓝色和建成区,适合广泛的用户。利用印度班加罗尔市四个代表性湖泊的可用数据集说明了这些指标的使用:桑基湖、乌尔苏尔湖、纳加瓦拉克雷湖和Puttenahallikere湖。GBA和BBA的比值以及%ISA的时空变化较好地反映了湖泊的生态状况,与前人的研究结果一致。详细的分析将DZs内建成区的允许年增长率限制在约3%,以实现湖泊的可持续发展。目前这套指标可以作为城市规划者和公民科学家对城市湖泊环境进行季节性监测的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.50
自引率
4.90%
发文量
45
审稿时长
65 days
期刊介绍: Journal of Urban Management (JUM) is the Official Journal of Zhejiang University and the Chinese Association of Urban Management, an international, peer-reviewed open access journal covering planning, administering, regulating, and governing urban complexity. JUM has its two-fold aims set to integrate the studies across fields in urban planning and management, as well as to provide a more holistic perspective on problem solving. 1) Explore innovative management skills for taming thorny problems that arise with global urbanization 2) Provide a platform to deal with urban affairs whose solutions must be looked at from an interdisciplinary perspective.
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