将热带低地的垃圾填埋场改造成城市绿地:斯里兰卡开放大学的案例研究

B.D. Madurapperuma , K.A.J.M. Kuruppuarachchi
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引用次数: 2

摘要

本研究考察了斯里兰卡开放大学(OUSL)馆址的植被、碳固存以及绿地的时空变化。本研究的主要目的是研究从垃圾填埋场修复的OUSL场地的花卉多样性,并根据生长性能和生物量碳储量确定适合垃圾填埋场的树木。测量了小于5 cm dbh的植物的周长和高度,以估计每棵树的生物量碳储量。取每棵树的GPS坐标进行空间制图。十年来,利用屏幕数字化技术从谷歌地球的卫星视图中提取城市绿地。共记录植物722株,隶属于33科75属95种。其中本地种占45%。地上和地下生物量分别为50 (t C/ha)和10 (t C/ha)。这些结果与干旱区森林的地上生物量和地下生物量相当(分别为60和17 (t C/ha))。研究结果表明,石麻、黄麻、芒果、硅藻土和蔷花等植物在垃圾填埋场中生长良好,具有有效的碳积累作用,并为城市规划人员选择最佳的垃圾填埋场绿化植物,最大限度地提高生物质固碳能力提供了有益的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rehabilitating a landfill site of lowland tropical landscape into an urban green space: A case study from the Open University of Sri Lanka

This study examines vegetation, carbon sequestration, and spatial and temporal changes of green space at the premises of the Open University of Sri Lanka (OUSL). The primary objective of this study is to examine floral diversity of the OUSL premises that was rehabilitated from a landfill site and to determine suitable trees for landfill sites based on growth performance and biomass carbon stocks. The girth and height of plants ⩾5 cm dbh were measured to estimate biomass carbon stocks of each individual tree. GPS coordinates of each individual tree were taken for spatial mapping. Urban green spaces were extracted from Satellite view of Google Earth for a decade using screen digitizing techniques. A total of 722 individuals, comprising 95 plant species belonging to 75 genera and 33 families, were recorded. Of the total species 45% were native species. The above-ground and below-ground biomass were estimated to be 50 (t C/ha) and 10 (t C/ha) respectively. These results are comparable with above-ground biomass and below-ground biomass in the dry zone forest (60 and 17 (t C/ha) respectively). The study recognized that Terminalia catappa, Filicium decipiens, Mangifera indica, Cassia bacillaris and Tabebuia rosea species grow well in such landfill with effective carbon accumulation, and the species list presented in this paper will provide useful information that will help city planners to maximize biomass carbon sequestration by choosing optimal plants for landscaping in landfill sites.

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