Validation of seasonal mean radiant temperature simulations in hot arid urban climates

Crank, Peter J.; Middel, Ariane; Wagner, Melissa; Hoots, Dani; Smith, Martin; Brazel, Anthony J.

doi:10.1016/j.scitotenv.2020.141392

Cited by 71 publications

(13 citation statements)

References 74 publications

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“…In addition, the MAPE ranged from 2.16% to 3.79%. According to previous studies, it is considered that the error between the actual measurement and the simulation can be ignored due to the value of MAPE being less than 5% [ 59 , 60 ]. Results showed that the simulated and measurement of AT had a strong correlation and the average percentage error between them could be ignored.…”

Section: Resultsmentioning

confidence: 99%

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Xin

Zhao

Wang

et al. 2022

IJERPH

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China has the largest number of villages in the world, and research on rural microclimate will contribute to global climate knowledge. A three-by-three grid method was developed to explore village microclimates through field measurement and ENVI-met simulation. A regression model was used to explore the mechanistic relationship between microclimate and spatial morphology, and predicted mean vote (PMV) was selected to evaluate outdoor thermal comfort. The results showed that ENVI-met was able to evaluate village microclimate, as Pearson’s correlation coefficient was greater than 0.8 and mean absolute percentage error (MAPE) was from 2.16% to 3.79%. Moreover, the air temperature of west–east road was slightly higher than that of south–north, especially in the morning. The height-to-width ratio (H/W) was the most significant factor to affect air temperature compared to percentage of building coverage (PBC) and wind speed. In addition, H/W and air temperature had a relatively strong negative correlation when H/W was between 0.52 and 0.93. PMV indicated that the downwind edge area of prevailing wind in villages was relatively comfortable. This study provides data support and a reference for optimizing village land use, mediating the living environment, and promoting rural revitalization.

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Section: Resultsmentioning

confidence: 99%

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Xin

Zhao

Wang

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Furthermore, this study includes 19 Appendices -A-S -as supplement, including an overall glimpse of our ENVI-met's simulation is, as mentioned above, particularly challenging. Therefore, model validation is essential to assess reliability of simulation results and avoid misjudgement (Liu et al 2021;Peter J Crank et al 2020). Model validation is done through the comparison of one or more meteorological variables at a single moment or during a period of time of actual field measurements against corresponding simulation results.…”

Section: Methodsmentioning

confidence: 99%

Reflexions on an ENVI-met operation-methodology case study

Barnstorf

Alves

Vale

2023

UPjeng

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An ENVI-met-operating methodology is case-studied aiming at contributing to the experience-exchange in ENVI-met’s applied-to-practice operation and providing its developers with feedback. The operating methodology is explained in detail as being applied – in an earlier research partnership with a city council’s urban-projects division – on an actual urban-street-requalification project. Daytime and night-time pedestrian-thermal-comfort impact of different intervention scenarios – differing both in soil-cover types and/or street-trees numbers and arrangements – were assessed and compared during a significant heat-wave event. The results seem to reveal a significant ENVI-met limitation on modelling green pergolas – open-wire-trellis overhang covered with climber plants.

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“…We do not aim at distinguishing the different types of uncertainties; instead, we are only interested in the output accuracy of the climate model. We do not restrict the use to any specific climate model, but allow the usage of any model as long as the uncertainty has been quantified by the user, as in, for example, [40,41]. To this end, we model the overall behavior of the climate model as a "truth plus error" model, which is widely used [37].…”

Section: Statistical Properties Of Otc Indices Under Climate Model Un...mentioning

confidence: 99%

Urban Climate Risk Mitigation via Optimal Spatial Resource Allocation

Nevat¹,

Mughal

2022

Atmosphere

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Decision makers (DMs) who are involved in urban planning are often required to allocate finite resources (say, money) to improve outdoor thermal comfort (OTC) levels in a region (e.g., city, canton, country). In this paper, for the first time, we address the following two questions, which are directly related to this requirement: (1) How can the statistical properties of the spatial risk profile of an urban area from an OTC perspective be quantified, no matter which OTC index the DM chooses to use? (2) Given the risk profile, how much and where should the DM allocate the finite resources to improve the OTC levels? We answer these fundamental questions by developing a new and rigorous mathematical framework as well as a new class of models for spatial risk models. Our approach is based on methods from machine learning: first, a surrogate model of the OTC index that provides both accuracy and mathematical tractability is developed via regression analysis. Next, we incorporate the imperfect climate model and derive the statistical properties of the OTC index. We present the concept of spatio-temporal aggregate risk (STAR) measures and derive their statistical properties. Finally, building on our derivations, we develop a new algorithm for spatial resource allocation, which is useful for DMs and is based on modern portfolio theory. We implemented the tool and used it to illustrate its operation on a practical case of the large-scale area of Singapore using a WRF climate model.

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Validation of seasonal mean radiant temperature simulations in hot arid urban climates

Cited by 71 publications

References 74 publications

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Reflexions on an ENVI-met operation-methodology case study

Urban Climate Risk Mitigation via Optimal Spatial Resource Allocation

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