The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview
Abstract
:1. Introduction
2. Review Structure
3. Biometeorological Climate Change Adaptation
3.1. Strengthening Interdisciplinary Know-How
3.2. Balancing Top-Down with Bottom-Up Assessments
3.3. High Frequency Thermal Risk Factors
4. Biometeorological Tools and Thermal Wellbeing
4.1. Thermo–Physiological and Climatic Indices
4.2. Bridging the Qualitative with the Quantitative
4.3. Indoor and Outdoor Cumulative Thermal Stress
5. Biometeorological Urban Design/Planning
5.1. Urban Vegetation
- (i)
- As suggested by the comprehensive review undertaken by Berardi, GhaffarianHoseini and GhaffarianHoseini [160] there is a very tactile opportunity to continue the exploration into the further quantification and assessments of interdisciplinary approaches regarding urban landscaping, plantations, construction and that of mechanical/environmental engineering. Moreover and in addition to stipulating the different classification of green roofs, the authors also cross-examined the typologies against their ability in mitigating UHI/air pollution, improve stormwater management, reduce urban noise and augment urban diversity. From the same year, and focused at the city scale, Santamouris [161] identified four categories to determine the particular efficiency of green roofs, namely through: (i) climatological variables, including radiation fluctuations; (ii) optical variables, including changes in albedo and absorptivity of the roof’s vegetation; (iii) thermal variables, including thermal capacity and heat storage; and lastly, (iv) hydrological variables, including the dynamics of latent heat loss due to evaporation of the water vapour from the vegetative material (or in other words, evapotranspiration). Within the more recent study conducted by Shafique, Kim and Rafiq [162], it was revealed how green roofs can aid simulating urban natural hydrology systems, and also reduce factors such as UHI effects. Still within this recent study, the prominence of further interdisciplinary research was recognised, including in accompanying the demand for such technology through economically sustainable methods.
- (ii)
- With regards to the application of green walls and facades, the review study conducted by Hunter, Williams, Rayner, Aye, Hes and Livesley [163] reported that their efficiency must be based on multiple microclimatic factors, including Grad, Ta and V (both adjacent to the structure, and in-between the gap with the respective wall). In the summary of the study, while the significant potential of green facades were recognised in urban contexts, it was adjacently argued that: (i) they are unlikely mechanisms to modulate internal buildings in all types of construction typologies and climatic contexts; and, (ii) its associated engineering terminology is often too specific to be readily understood across design and planning disciplines. Similarly, and also relating the application of these vegetation structures to different climates, and moreover the influences of different vegetative species, Perez, Coma, Martorell and Cabeza [164] came to similar conclusions. Finally, and within the more recent review study conducted by Medl, Stangl and Florineth [165] (and in addition to the recognised positive attributes mentioned above), the authors argued that there still remains a clear need for further interdisciplinary and standardized measurement approaches to guarantee the better application and erection of effective urban green facades.
- (iii)
- While the aforementioned studies also discussed issues of urban air quality and pollution dispersion through urban vegetation, Gallagher, Baldauf, Fuller, Kumar, Gill and McNabola [166] and Abhijith, Kumar, Gallagher, McNabola, Baldauf, Pilla, Broderick, Sabatino and Pulvirenti [168] took this analysis a step further. More specifically, it was identified that wind-tunnel and modelling results provide adequate evaluations, yet further real-world studies are still required to validate such findings. Similarly, and still in line with the aforementioned perspective of Oke [35], both studies moreover suggest that to develop clear guidelines for urban planners with regards to air quality and pollution dispersal; better interdisciplinary ‘channels’ must be fortified to enable such knowledge to be translated into practical guidelines to ensure their effective urban implementation. Convergent conclusions pertaining to the associated translation into urban planning and design tools/guidelines were also met by Janhall [167].
- (iv)
- Undertaking a more socio-economic approach, the review study launched by Soares, Rego, McPherson, Simpson, Peper and Xiao [169] described the application of the Street Tree Resource Analysis Tool for Urban forest Managers (STRATUM) within Lisbon. The results of the study disclosed a clear quantitative breakdown of economic maintenance/managerial costs of urban vegetation species which was subsequently crossed examined with urban ‘energy savings’, air purification, increased property values, reduced stormwater runoff and CO2 emissions. Still predominantly within the socio-economic spectrum, the later review study undertaken by Mullaney, Lucke and Trueman [170] also provided an investigation into financial aspects of urban vegetation. More specifically, beyond also disclosing environmental and socio-economic benefits, the costs/management of detailed characteristics such as pavement damage from tree roots were also case-studied.
- (v)
- In the last segment, the study conducted by Salmond, Tadaki, Vardoulakis, Arbuthnott, Coutts, Demuzere, Dirks, Heaviside, Lim, Macintyre, Mclnnes, and Wheeler [171] undertook a more encompassing perspective, which suggested that based upon the existing literature, there needs to be a locally based bottom-up decision making process. Such a process was argued to be innately better associated with local community engagement to better determine ‘what matters to them’, and not just constructed upon the technical scientific aspects of ecological interventions. As a result, a matured interdisciplinary relationship between these cultural and scientific approaches was suggested to be essential to further exploit the disclosed societal and wider benefits provided by urban vegetation.
5.2. Shade Canopies
5.3. Urban Surface Materials
5.4. Misting Systems
6. Concluding Remarks
- Methods of approaching climatic data from climatic models and meteorological stations/equipment should not rely solely upon singular climatic variables to obtain wholesome evaluations of existing or future human thermal comfort conditions as a result of climate change.
- The information retrieved from such assessments must, unequivocally, be translatable through easy-to-understand guidance for non-climatic experts, and that of the general public. Such interdisciplinary communication channels shall become moreover significant given the expected increase of extreme heat/cold events within urban contexts. Eventually, the sequential multifaceted process of going from identified risk factors, to establishing better thermal response measures and transposing these into municipal climatic policy and guidelines can be strengthened.
- Due to the inherent nature of thermo–physiological risk factors, undertaken assessments and projections must reach a better equilibrium between ‘huge-impact-but-low-frequency’ with that of ‘high-frequency-yet-continuous’ stimulus within the built environment, particularly during summer/winter periods. In this way, thermal sensitive urban planning and design can better tackle both of these different, yet, decisive facets of urban climatology.
- The remarkable and continual evolution of different thermo–physiological indices (including those arising from energy balance stress models, energy balance stain models, statistical/algebraic models and single-parameter models) with that of psychological factors. As mentioned, as this remains a less explored characteristic, this originates the respective opportunity to decrease ‘qualitative subjectivity’ through further research. Such research outlines can be launched through the association between continued physiological cumulative stimulus, circadian rhythm cycles, and anticipated triggers of human psychological behaviour patterns.
- In association to the previous point, such future lines of research shall also diminish the often over-powering differentiation between evaluation methods between outdoor and indoor environments. Although clear why thermal evaluation methods must be different between these environments, the analytical relationship between the two types of environments must be strengthened. As an example, the effects existing/future extreme heat events shall influence both outdoor and indoor environments; meaning that the daily peripatetic transient relationship between the two environments can be better explored in future thermal comfort research. As result, this shall once again present better means of establishing better thermal response measures, both in indoor and in outdoor contexts.
- While singular-variable evaluations pertaining to the thermal benefits of urban vegetation have been vital for thermal comfort studies (including in both IS and PCI typologies), the exclusion of non-temperature variables limit thermo–physiological interface comprehension with the human biometeorological system.
- Given that the biggest potential of shade canopies is to limit the amount of global radiation projected upon the human body, the very limited amount of existing studies examining this aspect needs to be addressed by future research. Here, material types, structure size and distribution can all serve as analytical variables for addressing thermal comfort in open spaces that are particularly susceptible to high amounts of radiation. Ironically, the scientific community has produced a very strong body of research concerning the relationship amongst different urban morphological compositions and that of solar radiation. As a result, a rich body of research into which types of street configurations and orientations will serve as an excellent platform to guide such future research.
- Due to the predominant use of thermally poor preforming materials, (such as urban concrete and asphalt) within cities, while there has been a considerable amount of research into surface materials, there is the opportunity to further explore the application of thermally efficient pavement materials. While existing studies have made clear strides in examining individual material, aggregate and finishing performances, there needs to be further studies that link such materials with other measure typologies within urban fabrics. As an example, there is the prospect to further examine the affiliation with shading patterns resulting from both tree crowns and shading amenities. Since both of these measures can be utilised to reduce the amount of absorbed solar radiation upon a specific type of investigated pavement, the resulting inferences upon emitted infrared radiation, heat storage and convections can be further explored under specific urban conditions/layouts. Such studies will propagate means to address high surface temperatures and inefficient albedos values in local thermal urban planning/design and decision making.
- As a result of the remaining disparity between engineering and design approaches to misting systems within the urban realm, similar to the case of shade canopies, there needs to be additional studies that consider wholesome projects which consider actual influences upon the human biometeorological system. Although commonly found within cities, there is a large opportunity for future studies to continue to dilute the segregation between engineering and thermal sensitive design approaches, even if based upon simple atmospheric principals to accomplish their full potential in attenuating thermal comfort stress without exacerbating atmospheric moisture content levels.
Author Contributions
Funding
Conflicts of Interest
References
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No. of Investigated Indices | Dominant Focused Context | Region Specified | Year | Source |
---|---|---|---|---|
5 | Not Stipulated | No | 1988 | [65] |
2 | Outdoor | Taiwan | 2012 | [66] |
40 | Outdoor | Mediterranean Zones | 2014 | [67] |
162 | Indoor/Outdoor | No | 2015 | [68] |
3 | Outdoor | Doha, Qatar | 2015 | [69] |
24 | Outdoor | Polar, Cold, Temperate, Arid and Tropical | 2016 | [70] |
165 | Indoor/Outdoor | No | 2016 | [71] |
4 specific (from 165) | Outdoor | No | 2018 | [47] |
6 | Outdoor | No | 2018 | [72] |
6 | Outdoor | Mediterranean Zones | 2019 | [73] |
6 | Outdoor | Mediterranean Zones | 2019 | [74] |
4 | Indoor/Outdoor | No | 2019 | [75] |
1 (MRT *1) | Indoor/Outdoor | No | 2019 | [76] |
- (SVF *2) | Outdoor | No | 2019 | [77] |
Index | Acronym | Typology | Source |
---|---|---|---|
Perceived Temperature | (PT) | (G)–Energy balance stress model | [78] |
Standard Effective Temperature | (SET *) | (G)–Energy balance stress model | [79,80] |
Outdoor Standard Effective Temperature | (OUT_SET *) | (G)–Energy balance stress model | [63,81] |
Thermal Humidity Index | (THI) | (C)–Algebraic/statistical model | [82] |
Predicted Mean Vote | (PMV) | (G)–Energy balance stress model | [28,83] |
Predicted Percentage of Dissatisfied | (PPD) | (G)–Energy balance stress model | [28] |
Humidex | (HD) | (C)–Algebraic/statistical model | [84] |
Index of Thermal Stress | (ITS) | (F)–Energy balance strain model | [31] |
Outdoor thermal comfort model | (COMFA) | (G)–Energy balance stress model | [85,86] |
Universal Thermal Climate Index | (UTCI) | (G)–Energy balance stress model | [87,88,89] |
Wet Bulb Temperature | (WBGT) | (B)–Single-parameter model | [90,91] |
Predicted Heat Strain | (PHS) | (F)–Energy balance strain model | [92] |
Physiologically Equivalent Temperature | (PET) | (G)–Energy balance stress model | [26,93,94] |
modified Physiologically Equivalent Temperature | (mPET) | (G)–Energy balance stress model *1 | [95] |
No. | Predominant Review Topic Summary | Icon | Study Year | Example Review Studies |
---|---|---|---|---|
(i) | Specific effects of green roofs, including indoor thermal behaviour, cooling loads and performance | 2014 | [160] | |
2014 | [161] | |||
2018 | [162] | |||
(ii) | Specific quantitative influences and performance of urban green walls/facades | 2014 | [163] | |
2014 | [164] | |||
2017 | [165] | |||
(iii) | Air quality and particles dispersion/abatement through the presence of vegetation | 2015 | [166] | |
2015 | [167] | |||
2017 | [168] | |||
(iv) | Overall socio-economic benefits, and challenges, of growing urban vegetation in the public realm | 2011 | [169] | |
2015 | [170] | |||
(v) | Wider social impacts of street vegetation upon urban ecosystems and communities | 2016 | [171] |
Thermal Result (Ta Max) | Location | KG | Study Year | Source |
---|---|---|---|---|
−1.5 °C | California | ‘Csa’ | 1988 | [173] |
−0.7 °C | Tokyo | ‘Cfa’ | 2008 | [174] |
−2.2 °C | Athens | ‘Csa’ | 2010 | [175] |
−0.5 °C | Singapore | ‘Af’ | 2010 | [176] |
−1.0 °C | Melbourne | ‘Cfb’ | 2013 | [177] |
−1.0 °C | Manchester | ‘Cfb’ | 2014 | [178] |
Table Result Avg. = −1.2 °C |
Thermal Result (Ta Max) | Location | KG | Study Year | Source |
---|---|---|---|---|
−4.0 °C | Mexico City | ‘Cwb’ | 1990-1 | [179] |
−2.5 °C | Dehli | ‘BSh’ | 1990-1 | [180] |
−3.0 °C | Kumanoto | ‘Cfa’ | 1991 | [181] |
−2.5 °C | Fukuoka | ‘Cfa’ | 1993 | [182] |
−2.0 °C | Tokyo | ‘Cfa’ | 1998 | [132] |
−4.0 °C | (Scaled model) | - | 1999 | [183] |
−4.0 °C | Tel Aviv | ‘Csa’ | 2000 | [184] |
−4.0 °C | Botswana | ‘BSh’ | 2004 | [185] |
−3.5 °C | Tel Aviv | ‘Csa’ | 2006 | [186] |
−4.4 °C | Taipei | ‘Cfa’ | 2007 | [187] |
−2.5 °C | Taipei | ‘Cfa’ | 2010 | [188] |
−5.0 °C | Athens | ‘Csa’ | 2014 | [189] |
−5.0 °C | Chania | ‘Csa’ | 2014 | [190] |
−7.4 °C | Lisbon | ‘Csa’ | 2019 | [191] |
Table Result Avg. = −3.9 °C |
Thermal Result (PET/MRT Max) | Location | KG | Study Year | Source |
---|---|---|---|---|
−11.2 °C (PET) | Szeged | ‘Cfb’ | 2006 | [197] |
−12.0 °C (PET) | São Paulo | ‘Cfa’ | 2008 | [198] |
≈−12.0 °C (MRT) | Huwei | ‘Cfa’ | 2010 | [199] |
−20.0 °C (PET) | Shanghai | ‘Cfa’ | 2011 | [200] |
−8.0 °C (PET) | Campinas | ‘Cwa’ | 2012 | [201] |
−8.3 °C (PET) | Athens | ‘Csa’ | 2012 | [33] |
−16.6 °C (PET) | Campinas | ‘Cwa’ | 2015 | [202] |
−27.0 °C (MRT) | Manchester | ‘Cfb’ | 2016 | [203] |
−4.6 °C (PET) | Toronto | ‘Dfb’ | 2016 | [22] |
−3.4 °C (PET) | Hong Kong | ‘Cwa’ | 2017 | [204] |
−9.9 °C (PET) | Lisbon | ‘Csa’ | 2017 | [108] |
−15.6 °C (PET) | Lisbon | ‘Csa’ | 2018 | [99] |
Table Result Avg. = −11 °C (PET)/−19.5 °C (MRT) |
Thermal Result (PET/MRT Max) | Location | KG | Study Year | Source |
---|---|---|---|---|
−17.6 °C (PET) | Freiburg | ‘Cfb’ | 2003 | [205] |
−9.0 °C (PET) | Freiburg | ‘Cfb’ | 2006 | [206] |
−33.0 °C (MRT) | Lisbon | ‘Csa’ | 2007 | [207] |
−10.7 °C (PET) | Tel Aviv | ‘Csa’ | 2010 | [208] |
−39.2 °C (MRT) | Lisbon | ‘Csa’ | 2011 | [209] |
−12.0 °C (PET) | Tel Aviv | ‘Csa’ | 2012 | [210] |
−20.0 °C (MRT) | Milan, Genoa, Rome | ‘Cfa’, ‘Csa’, ‘Csa’ | 2014 | [211] |
−10.0 °C (PET) | Toulouse | ‘Cfb’ | 2016 | [212] |
−18.0 °C (PET) | Tel Aviv, Beer Sheva, Eilat | ‘Csa’, ‘BSh’, ‘BWh’ | 2017 | [4] |
Table Result Avg. = −12.3 °C (PET)/−30.7 °C (MRT) |
Thermal Result (Ta Max) | Location | KG | Study Method. | Study Year | Source |
---|---|---|---|---|---|
–2.0 °C | Nagoya | ‘Cfa’ | Field Study | 2008 | [232] |
–1.5 °C | Tokyo | ‘Cfa’ | Field Study | 2008 | [233] |
–2.5 °C | Tokyo | ‘Cfa’ | CFD * Study | 2008 | [234] |
–2.0 °C | Yohohama | ‘Cfa’ | CFDStudy | 2009 | [231] |
–0.8 °C | Osaka | ‘Cfa’ | Field + CFD Study | 2011 | [235] |
Table Result Avg. = –1.8 °C | * CFD—Computational Fluid Dynamic |
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Santos Nouri, A.; Matzarakis, A. The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview. Climate 2019, 7, 134. https://doi.org/10.3390/cli7120134
Santos Nouri A, Matzarakis A. The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview. Climate. 2019; 7(12):134. https://doi.org/10.3390/cli7120134
Chicago/Turabian StyleSantos Nouri, Andre, and Andreas Matzarakis. 2019. "The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview" Climate 7, no. 12: 134. https://doi.org/10.3390/cli7120134