Assessment of green roof potentialA case study in Nankai District, Tianjin

WANG Xuanyi; RAO Liangyi

doi:10.16152/j.cnki.xdxbzr.2024-03-004

您当前的位置：

首页 >

文章列表页 >

Assessment of green roof potentialA case study in Nankai District, Tianjin

更新时间：2024-06-17

- Assessment of green roof potentialA case study in Nankai District, Tianjin
- Journal of Northwest University (Natural Science Edition) Vol. 54, Issue 3, Pages: 378-386(2024)
- 作者机构：
  
  1.北京林业大学　水土保持学院，北京　100083
  2.水土保持国家林业和草原局重点实验室，北京　100083
- 作者简介：
- 基金信息：
- DOI：10.16152/j.cnki.xdxbzr.2024-03-004
  CLC： S731.2
- Published：25 June 2024，
  
  Received：14 January 2024，
扫描看全文
WANG Xuanyi, RAO Liangyi. Assessment of green roof potentialA case study in Nankai District, Tianjin. [J]. Journal of Northwest University (Natural Science Edition) 54(3):378-386(2024)
DOI：

WANG Xuanyi, RAO Liangyi. Assessment of green roof potentialA case study in Nankai District, Tianjin. [J]. Journal of Northwest University (Natural Science Edition) 54(3):378-386(2024) DOI： 10.16152/j.cnki.xdxbzr.2024-03-004.

摘要

绿色屋顶对缓解城市化的不利影响有着重要意义。天津地区城市化程度高，绿色屋顶发展相对滞后，缺乏绿色屋顶规模性建设的可行性评估及规划方案。该文以天津市南开区为例，选取建筑属性和绿化需求度作为评价标准，建立绿色屋顶适建潜力评估体系。基于GIS和优劣解距离法(TOPSIS)呈现天津市南开区绿色屋顶综合适建潜力空间分布。研究结果表明，南开区绿色屋顶适建面积约5.17 km

，适建潜力平均分为0.53，适建潜力呈“北高南低”趋势。南开区共有46个高度适建社区，优先于适建社区开展绿色屋顶建设可更有效地发挥绿色屋顶在改善城市环境方面的作用。

Abstract

Green roofs are of great significance in mitigating the adverse effects of urbanization. The Tianjin area is highly urbanized

but the development of green roofs is relatively lagging behind

and there is a lack of feasibility assessment and planning schemes for the large-scale construction of green roofs. This study takes Nankai District of Tianjin as an example

and selects building attributes and greening demand degree as evaluation criteria to establish a system for assessing the potential of green roofs suitable for construction. Based on GIS and TOPSIS

the spatial distribution of green roofs in Nankai District of Tianjin is presented. The results of the study show that the suitable area of green roofs in Nankai District is about 5.17 km

and the average score of suitable potential is 0.53

and the suitable potential shows a trend of " high in the north and low in the south". There are 46 highly suitable communities in Nankai District

and prioritizing the construction of green roofs in suitable communities can more effectively play its role in improving the urban environment.

关键词

绿色屋顶屋面类型绿化覆盖率建筑密度优劣解距离法

Keywords

green roofroof typegreen coveragebuilding densityTOPSIS

references

FANG Y, DU X T, ZHAO H Y, et al. Assessment of green roofs’ potential to improve the urban thermal environment: The case of Beijing[J]. Environmental Research, 2023, 237: 116857.

SMITH K R, ROEBBER P J. Green roof mitigation potential for a proxy future climate scenario in Chicago, Illinois[J]. Journal of Applied Meteorology and Climatology, 2011, 50(3): 507-522.

HUTCHINSON D, ABRAMS P, RETZLAFF R, et al. Stormwater monitoring two ecoroofs in Portland, Oregon, USA[J]. Greening Rooftops for Sustainable Communities, 2003: 1-18.

SIMMONS M T, GARDINER B, WINDHAGER S, et al. Green roofs are not created equal: The hydrologic and thermal performance of six different extensive green roofs and reflective and non-reflective roofs in a sub-tropical climate[J]. Urban Ecosystems, 2008, 11(4): 339-348.

邵天然, 李超骕, 曾辉. 城市屋顶绿化资源潜力评估及绿化策略分析：以深圳市福田中心区为例[J]. 生态学报, 2012, 32(15): 4852-4860.

SHAO T R, LI C S, ZENG H. Resource potential assessment of urban roof greening and development strategies: A case study in Futian central district Shenzhen China[J]. Acta Ecologica Sinica, 2012, 32(15): 4852-4860.

王晶晶. 城市绿色屋顶建设潜力评估及降温效应评价：以南京市鼓楼区为例[D]. 南京: 南京大学, 2017.

杨洁, 周东东, 彭重华. 醴陵市绿色屋顶生态系统服务潜力评估及规划[J]. 生态科学, 2021, 40(1): 120-128.

YANG J, ZHOU D D, PENG Z H. Potential assessment and planning of green roof ecosystem services in Li Ling[J]. Acta Ecologica Sinica, 2021, 40(1): 120-128.

SHI Q, LIU M X, MARINONI A, et al. UGS-1m: Fine-grained urban green space mapping of 31 major cities in China based on the deep learning framework[J]. Earth System Science Data, 2023, 15(2): 555-577.

李虹, 冯仲科, 唐秀美, 等. 区位因素对绿地降低热岛效应的影响[J]. 农业工程学报, 2016, 32(S2): 316-322.

LI H, FENG Z K, TANG X M, et al. Effect of green space location factors on reducing urban heat island effect[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(S2): 316-322.

王新军, 席国安, 陈聃, 等. 屋顶绿化适建性潜力评估指标体系的构建[J]. 北方园艺, 2016(2): 85-88.

WANG X J, XI G A, CHEN D, et al. Establishment of an evaluation index system for roof greening constructability[J]. Northern Horticulture, 2016(2): 85-88.

SHAFIQUE M, KIM R, RAFIQ M. Green roof benefits, opportunities and challenges: A review[J]. Renewable and Sustainable Energy Reviews, 2018, 90: 757-773.

姜之点, 杨峰. 建筑立体绿化方式和设计高度对三维空间降温潜力的影响[J]. 风景园林, 2023, 30(5): 75-82.

JIANG Z D, YANG F. Influence of green building planting form and design height on cooling potential of 3D space[J]. Landscape Architecture, 2023, 30(5): 75-82.

ZHANG G C, HE B J, ZHU Z Z, et al. Impact of morphological characteristics of green roofs on pedestrian cooling in subtropical climates[J]. International Journal of Environmental Research and Public Health, 2019, 16(2): 179.

TAHGUY L L, CÉLINE C, FLAVIE M, et al. Role of green roofs in urban connectivity, an exploratory approach using landscape graphs in the city of Paris, France[J]. Urban Forestry & Urban Greening, 2022, 78: 127765.

CASCONE S. Green roof design: State of the art on technology and materials[J]. Sustainability, 2019, 11(11): 3020.

郭柳. 屋顶绿化施工技术要点分析[J]. 河北林业科技, 2016(6): 70-72.

GUO L. Green roof construction technology and development[J]. The Journal of Hebei Forestry Science and Technology, 2016(6): 70-72.

陈艺中. 浅谈屋顶绿化施工工艺流程[J]. 中国花卉园艺, 2017(22): 50-52.

CHEN Y Z. Introduction to the green roof construction process[J]. China Flowers & Horticulture, 2017(22): 50-52.

余伟增. 屋顶绿化技术与设计[D]. 北京: 北京林业大学, 2006.

方富喜. 屋顶绿化规划建设应注意的问题[J]. 中国花卉园艺, 2018(8): 54-55.

FANG F X. Green roof planning and construction should pay attention to the problem[J]. China Flowers & Horticulture, 2018(8): 54-55.

刘波. 屋顶绿化施工关键技术控制浅析[J]. 现代园艺, 2021, 44(12): 168-169.

LIU B. Green roof construction key technology control analysis[J]. Xiandai Horticulture, 2021, 44(12): 168-169.

BRUCKER JURICIC B, KRSTIC H, CULO K. Theoretical analysis and comparison of the thermal performance, construction costs, and maintenance complexity between a conventional and an intensive green roof[J]. Journal of Engineering, 2021(1): 1-16.

全明研. 老化和损伤的钢筋混凝土构件的性能[J]. 工业建筑, 1990, 20(2): 15-19.

QUAN M Y. Performance of aged and damaged reinforced concrete members[J]. Industrial Construction, 1990, 20(2): 15-19.

FERRINI F, FINI A, MORI J, et al. Role of vegetation as a mitigating factor in the urban context[J]. Sustainability, 2020, 12(10): 4247.

DIMOUDI A, NIKOLOPOULOU M. Vegetation in the urban environment: Microclimatic analysis and benefits[J]. Energy and Buildings, 2003, 35(1): 69-76.

许睿, 董家华, 王凤兰. 城市热岛效应的影响因素、研究方法及缓解对策研究进展[J]. 仲恺农业工程学院学报, 2020, 33(4): 65-70.

XU R, DONG J H, WANG F L. Review on the influencing factors methods and countermeasures of urban heat island effect[J]. Journal of Zhongkai University of Agriculture and Engineering, 2020, 33(4): 65-70.

MATHEW A, KHANDELWAL S, KAUL N. Analysis of diurnal surface temperature variations for the assessment of surface urban heat island effect over Indian cities[J]. Energy and Buildings, 2018, 159: 271-295.

TAN C L, WONG N H, TAN P Y, et al. Impact of plant evapotranspiration rate and shrub albedo on temperature reduction in the tropical outdoor environment[J]. Building and Environment, 2015, 94: 206-217.

CASCONE S, COMA J, GAGLIANO A, et al. The evapotranspiration process in green roofs: A review[J]. Building and Environment, 2019, 147: 337-355.

GUO L, LUO J, YUAN M, et al. The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data[J]. The Science of the Total Environment, 2019, 659: 1585-1596.

YIN C H, YUAN M, LU Y P, et al. Effects of urban form on the urban heat island effect based on spatial regression model[J]. Science of The Total Environment, 2018, 634: 696-704.

YUAN M, YAN M R, SHAN Z R. Is compact urban form good for air quality? A case study from China based on hourly smartphone data[J]. Land, 2021, 10(5): 504.

GASCON M, SÁNCHEZ-BENAVIDES G, DADVAND P, et al. Long-term exposure to residential green and blue spaces and anxiety and depression in adults: A cross-sectional study[J]. Environmental Research, 2018, 162: 231-239.

VAN DEN BERG M M, VAN POPPEL M, VAN KAMP I, et al. Do physical activity, social cohesion, and loneliness mediate the association between time spent visiting green space and mental health？[J]. Environment and Behavior, 2019, 51(2): 144-166.

YANG L, HO J Y S, WONG F K Y, et al. Neighbourhood green space, perceived stress and sleep quality in an urban population[J]. Urban Forestry & Urban Greening, 2020, 54: 126763.

ZHAN Q, MENG F, XIAO Y. Exploring the relationships of between land surface temperature, ground coverage ratio and building volume density in an urbanized environment[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, XL-7-W3: 255-260.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰