Experimental Study on the Radiative Properties of a &lt;i&gt;Sedum lineare&lt;/i&gt; Greenroof

Feng, Chi; Chen, Wu; Meng, Qing Lin

doi:10.4028/www.scientific.net/amm.174-177.1986

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…When g s was published in mmol•m −2 •s −1 (e.g., [71]), values were divided by 41.57 for conversion, following Körner et al [72] and assuming 293 K/20 • C and 101.3 kPa. In cases where the databases did not provide sufficiently reliable information, manually researched values, e.g., [73][74][75][76][77][78][79][80][81][82][83][84], were added. This was particularly necessary for sedum/succulents.…”

Section: Development "Toolset Parameterization" Determination Of Plan...mentioning

confidence: 99%

“…For LAI, up to 1108 values were found for deciduous trees (1), reflecting the focus of the LAI database on woody plants with decreasing trends up to plant type (6). For sedum/succulents (6), manually researched values had to be supplemented due to a lack of data density in the databases, e.g., [73][74][75][76][77][78][79][80][81][82][83][84].…”

Section: Development "Toolset Parameterization" 321 Determination Of ...mentioning

confidence: 99%

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Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

Hörnschemeyer

Henrichs

Dittmer

et al. 2023

Water

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Blue–green infrastructures (BGI) play an important role in addressing contemporary challenges posed by urbanization, climate change, and demographic shifts. This study focuses on the parameterization of BGI within hydrological models, specifically emphasizing the Low Impact Development (LID) module of the Storm Water Management Model (SWMM), supplemented by the SWMM-UrbanEVA evapotranspiration model. Employing a systematic approach, a transferable framework is developed to categorize BGI types, leading to a comprehensive parameterization toolset. This toolset includes parameter estimates for predefined BGI types, encompassing both natural and technical systems with a specific emphasis on plant-specific parameterization. The justification of these parameter estimates is supported by an extensive literature review. Sensitivity analyses reveal the influence of plant-specific parameters, such as the crop factor (KC), and soil storage capacity, on water balance and peak runoff. Additionally, this study presents practical guidelines to enhance the comprehension of model behavior and ensure the highest possible quality in model parameterization. While further research on validity and transferability of the toolset is required, the findings of this study provide useful support for the differentiated representation and analysis of hydrological processes in urban environments. As a result, this study serves as a valuable resource for researchers, practitioners, and decision makers, facilitating the implementation of sustainable water management practices in urban settings.

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Section: Development "Toolset Parameterization" Determination Of Plan...mentioning

confidence: 99%

Section: Development "Toolset Parameterization" 321 Determination Of ...mentioning

confidence: 99%

Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

Hörnschemeyer

Henrichs

Dittmer

et al. 2023

Water

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“…All plant leaf area index is obtained according to Zheng Peng [1]. The blade emissivity of Sedum lineare, the reflectivity of the solar radiation heat of Sedum lineare, the blade emissivity of other plants, the blade reflectivity of the long-wave of other plants are obtained according to the study of Feng Chi [2]. The reflection coefficient of the solar radiation heat of the remaining plant leaves is calculated according to the famous leaf reflection model-Prospect model.…”

Section: Characteristics and Parameters Of Seven Plantsmentioning

confidence: 99%

Study on Energy Efficiency of Several Different Roof Plants in Wuhan

Zhao¹,

He²,

Li³

2018

dtssehs

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Abstract. The green roof is developing rapidly in China now, while different roof plants have prominent influence on the effect of energy saving and cooling. This passage uses Design Builder, which is a green building simulation software based on Energy Plus computing engine, to establish a typical low-rise residential building model in Wuhan. According to the integrated software parameters and the relevant standard and specifications, the paper set the design of the residential layout, indoor staff status, air conditioning settings and other settings related to the model. The summer energy saving and cooling effect of seven different roof plants were studied in this paper. The simulation results show that the leaf area index of the plant, the thermal reflectivity of the solar radiation and the heat gain of the roof in the summer were inversely proportional to each other. Plum has the best effect on summer energy saving and cooling in seven plants, and Fatsia japonica has the best effect on summer energy saving and cooling among three kinds of shrubs. IntroductionThe green roof is mainly reflected in its structural innovation of conventional roof, so that different kinds of green plants can be grown on it. Related theses show that the green roof has the properties of energy saving, land saving, water saving, protection of building structure, improving the urban ecological environment, enabling people to relax, etc. Combined with today's domestic outstanding ecological and environmental problems, the construction and research of green roof are of great significance. In the green roof construction process, the choice of roof plants is a crucial phase, good plant selection will play a multiplier effect. However, there are few studies which concentrated on the selection of plantation roof plants. Based on the successful commercial building energy consumption simulation software-Design Builder, this thesis studied summer air-conditioning cold load and summer heat gain when the roof is planted seven different kinds of roof plants. These seven different roof plant species are all derived from recommended central China roof plants of national architectural standard design 14J206"planting roof structure". This thesis hopes to find a higher energy efficiency roof plant and open up a practical approach for the comparison of roof plants.

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Plant selection for green roofs and their impact on carbon sequestration and the building carbon footprint

Seyedabadi

Eicker

Karimi

2021

Environmental Challenges

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Experimental Study on the Radiative Properties of a <i>Sedum lineare</i> Greenroof

Cited by 3 publications

References 24 publications

Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

Study on Energy Efficiency of Several Different Roof Plants in Wuhan

Plant selection for green roofs and their impact on carbon sequestration and the building carbon footprint

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