Submitted:
17 April 2026
Posted:
17 April 2026
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Abstract

Keywords:
1. Problem Setting and Knowledge Gap
2. Representative Moisture-Damage Scenarios in Hot-Humid Buildings
2.1. Biological Contamination on Exterior Wall and Roof Surfaces
2.2. Summer Condensation and Moisture Accumulation Within Envelope Assemblies
2.3. Local Dampness at Indoor Surfaces and Behind Furniture
2.4. Moisture Stagnation in Semi-Enclosed Spaces
2.5. Common Structure Across Scenarios
3. Climatic Drivers and Building-Relevant Drying Deficit
3.1. Climatic Characteristics That Intensify Drying Deficit
3.2. Nighttime Recovery Limitation and Repeated Wetting
3.3. Expansion of Hot-Humid Risk Zones
4. Moisture Transport, Accumulation, and Limited Drying in Building Envelopes
4.1. Moisture Entry and Accumulation Under Hot-Humid Boundary Conditions
4.2. Major Transport Mechanisms
4.3. Drying Limitation as the Governing Principle
4.4. Cooling, Ventilation, and Pressure-Related Moisture Loading
5. Moisture and Mold Risk Assessment in Hot-Humid Buildings
5.1. Categories of Assessment Methods
5.2. Characteristics and Positioning of Fungal Index and the VTT Mold Index
5.3. Significance of IBP, MRD, DR-SIM, and Probabilistic Approaches
5.4. Shared Applicability Limits Under Hot-Humid Conditions
5.5. How Moisture/Mold Risk Indices Should Be Interpreted
6. From Hygrothermal Hazard to Microbial Load and Exposure
6.1. Sources and Persistence of Indoor Microorganisms
6.2. Why Hygrothermal Indicators and Microbial Measurements Do Not Coincide
6.3. Community Structure as an Ecological Response Layer
6.4. Moisture Damage from the Perspective of Exposure
6.5. A Hierarchical Interpretation Framework
7. Implications for Envelope Design, Retrofit, and Building Operation
7.1. Envelope Design
7.2. Material Selection
7.3. Ventilation Strategy
7.4. Cooling and Dehumidification Operation
7.5. Retrofit Implications
7.6. Key Adaptation Principles
8. Limitations and Future Research Needs
8.1. Climate Inputs
8.2. Envelope Models and Spatial Locality
8.3. Interpretation of Risk Indices
8.4. Linkage with Microbial Measurements
8.5. Surface Microclimate and Wetness Duration
8.6. Integration of Design, Systems, and Operation
9. Conclusions
Supplementary Materials
Author Contributions
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Beck, H.E.; Zimmermann, N.E.; McVicar, T.R.; Vergopolan, N.; Berg, A.; Wood, E.F. Present and Future Köppen-Geiger Climate Classification Maps at 1-Km Resolution. Sci. Data 2018, 5, 180214. [Google Scholar] [CrossRef]
- Willett, K.M.; Dunn, R.J.H.; Thorne, P.W.; Bell, S.; de Podesta, M.; Parker, D.E.; Jones, P.D.; Williams, C.N., Jr. HadISDH Land Surface Multi-Variable Humidity and Temperature Record for Climate Monitoring. Clim. Past 2014, 10, 1983–2006. [Google Scholar] [CrossRef]
- Intergovernmental Panel on Climate Change (IPCC) Climate Change 2021 – the Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, England, 2023; ISBN 9781009157896.
- Pan, Y.; Zhong, W.; Zheng, X.; Xu, H.; Zhang, T. Natural Ventilation in Vernacular Architecture: A Systematic Review of Bioclimatic Ventilation Design and Its Performance Evaluation. Build. Environ. 2024, 253, 111317. [Google Scholar] [CrossRef]
- Toe, D.H.C.; Kubota, T. Comparative Assessment of Vernacular Passive Cooling Techniques for Improving Indoor Thermal Comfort of Modern Terraced Houses in Hot–Humid Climate of Malaysia. Sol. Energy 2015, 114, 229–258. [Google Scholar] [CrossRef]
- Pavanello, F.; De Cian, E.; Davide, M.; Mistry, M.; Cruz, T.; Bezerra, P.; Jagu, D.; Renner, S.; Schaeffer, R.; Lucena, A.F.P. Air-Conditioning and the Adaptation Cooling Deficit in Emerging Economies. Nat. Commun. 2021, 12, 6460. [Google Scholar] [CrossRef]
- Mori, H.; Kubota, T.; Antaryama, I.G.N.; Ekasiwi, S.N.N. Analysis of Window-Opening Patterns and Air Conditioning Usage of Urban Residences in Tropical Southeast Asia. Sustainability 2020, 12, 10650. [Google Scholar] [CrossRef]
- Ekasiwi, S.N.N.; Majid, N.H.A.; Hokoi, S.; Oka, D.; Takagi, N.; Uno, T. Field Survey of Air Conditioner Temperature Settings in Hot, Humid Climates, Part 1: Questionnaire Results on Use of Air Conditioners in Houses during Sleep. J. Asian Archit. Build. Eng. 2013, 12, 141–148. [Google Scholar] [CrossRef]
- Janssens, A.; Hens, H. Interstitial Condensation Due to Air Leakage: A Sensitivity Analysis. J. Therm. Envelope Build. Sci. 2003, 27, 15–29. [Google Scholar] [CrossRef]
- Lstiburek, J. Moisture Control for Buildings. ASHRAE journal 2002, 44, 36–41. [Google Scholar]
- Hukka, A.; Viitanen, H.A. A Mathematical Model of Mould Growth on Wooden Material. Wood Sci. Technol. 1999, 33, 475–485. [Google Scholar] [CrossRef]
- Viitanen, H.; Vinha, J.; Salminen, K.; Ojanen, T.; Peuhkuri, R.; Paajanen, L.; Lähdesmäki, K. Moisture and Bio-Deterioration Risk of Building Materials and Structures. J. Build. Phys. 2010, 33, 201–224. [Google Scholar] [CrossRef]
- Thelandersson, S.; Isaksson, T. Mould Resistance Design (MRD) Model for Evaluation of Risk for Microbial Growth under Varying Climate Conditions. Build. Environ. 2013, 65, 18–25. [Google Scholar] [CrossRef]
- Boardman, C.R.; Glass, S.V.; Lepage, R. Dose-Response Simple Isopleth for Mold (DR SIM): A Dynamic Mold Growth Model for Moisture Risk Assessment. J. Build. Eng. 2023, 68, 106092. [Google Scholar] [CrossRef]
- Sedlbauer, K. Prediction of Mould Fungus Formation on the Surface of and inside Building Components. Fraunhofer Institute for Building Physics 2001.
- Abe, K. Fungal Index Evaluation of Indoor Environments. J.Antibact.Antifung.Agents 2001, 29, 557–566. [Google Scholar]
- Viitanen, H.; Ojanen, T. Improved Model to Predict Mould Growth in Building Materials. 2007. [Google Scholar]
- Pietrzyk, K. A Systemic Approach to Moisture Problems in Buildings for Mould Safety Modelling. Build. Environ. 2015, 86, 50–60. [Google Scholar] [CrossRef]
- Vereecken, E.; Roels, S. Review of Mould Prediction Models and Their Influence on Mould Risk Evaluation. Build. Environ. 2012, 51, 296–310. [Google Scholar] [CrossRef]
- Abe, K. A Method for Numerical Characterization of Indoor Climates by A Biosensor Using A Xerophilic Fungus. Indoor Air 1993, 3, 344–348. [Google Scholar] [CrossRef]
- Abe, K. Comparison of a Measured Fungal Index Determined Using Fungal Growth and a Computed Fungal Index Based on Temperature and Relative Humidity. Indoor Environment: Journal of Society of Indoor Environment, Japan 2006, 9, E23–E30. [Google Scholar] [CrossRef]
- Adams, R.I.; Bateman, A.C.; Bik, H.M.; Meadow, J.F. Microbiota of the Indoor Environment: A Meta-Analysis. Microbiome 2015, 3, 49. [Google Scholar] [CrossRef]
- Meadow, J.F.; Altrichter, A.E.; Kembel, S.W.; Kline, J.; Mhuireach, G.; Moriyama, M.; Northcutt, D.; O’Connor, T.K.; Womack, A.M.; Brown, G.Z.; et al. Indoor Airborne Bacterial Communities Are Influenced by Ventilation, Occupancy, and Outdoor Air Source. Indoor Air 2014, 24, 41–48. [Google Scholar] [CrossRef] [PubMed]
- Prussin, A.J.; Marr, L.C. Sources of Airborne Microorganisms in the Built Environment. Microbiome 2015, 3, 1–10. [Google Scholar] [CrossRef]
- Pitkäranta, M.; Meklin, T.; Hyvärinen, A.; Paulin, L.; Auvinen, P.; Nevalainen, A.; Rintala, H. Analysis of Fungal Flora in Indoor Dust by Ribosomal DNA Sequence Analysis, Quantitative PCR, and Culture. Appl. Environ. Microbiol. 2008, 74, 233–244. [Google Scholar] [CrossRef]
- Hersbach, H.; Bell, B.; Berrisford, P.; Hirahara, S.; Horányi, A.; Muñoz-Sabater, J.; Nicolas, J.; Peubey, C.; Radu, R.; Schepers, D.; et al. The ERA5 Global Reanalysis. Q. J. R. Meteorol. Soc. 2020, 146, 1999–2049. [Google Scholar] [CrossRef]
- Oke, T.R. Boundary Layer Climates, 2nd ed.; Routledge: London, England, 2002; ISBN 9780203407219. [Google Scholar]
- Lstiburek, J.W. Humidity Control in the Humid South. Workshop Proceedings: Bugs, Mold \& Rot II, Building Environment and Thermal Envelope Council, 1993. [Google Scholar]
- Lstiburek, J. Moisture Control for Residential Buildings; Building Science Corporation, 2020. [Google Scholar]
- Johansson, S.; Wadsö, L.; Sandin, K. Estimation of Mould Growth Levels on Rendered Façades Based on Surface Relative Humidity and Surface Temperature Measurements. Build. Environ. 2010, 45, 1153–1160. [Google Scholar] [CrossRef]
- Asmone, A.S.; Chew, M.Y.L. A Study on the Effectiveness of Biological Growth Resistant Coatings on External Building Façade Systems in the Tropics. J. Build. Eng. 2020, 31, 101377. [Google Scholar] [CrossRef]
- Beck, H.E.; McVicar, T.R.; Vergopolan, N.; Berg, A.; Lutsko, N.J.; Dufour, A.; Zeng, Z.; Jiang, X.; van Dijk, A.I.J.M.; Miralles, D.G. High-Resolution (1 Km) Köppen-Geiger Maps for 1901–2099 Based on Constrained CMIP6 Projections. Sci. Data 2023, 10, 724. [Google Scholar] [CrossRef]
- Voldoire, A.; Saint-Martin, D.; Sénési, S.; Decharme, B.; Alias, A.; Chevallier, M.; Colin, J.; Guérémy, J.-F.; Michou, M.; Moine, M.-P.; et al. Evaluation of CMIP6 DECK Experiments with CNRM-CM6-1. J. Adv. Model. Earth Syst. 2019, 11, 2177–2213. [Google Scholar] [CrossRef]
- Center For International Earth Science Information Network-CIESIN-Columbia University Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 2018.
- Jones, B.; ONeill, B.C.; Gao, J. Global 1-Km Downscaled Population Base Year and Projection Grids for the Shared Socioeconomic Pathways (SSPs), Revision 01 2020.
- Künzel, H.M. Simultaneous Heat and Moisture Transport in Building Components; Fraunhofer IRB Verlag: Stuttgart, Germany, 1995; ISBN 9783816741039. [Google Scholar]
- Abe, K. Fungal Index in Dwelling Environments. Journal of the Society of Indoor Environment, Japan 1993.
- Heseltine, E.; Rosen, J. WHO Guidelines for Indoor Air Quality: Dampness and Mould; WHO Regional Office Europe, 2009; ISBN 9789289041683. [Google Scholar]
- Cox-Ganser, J.M. Indoor Dampness and Mould Health Effects - Ongoing Questions on Microbial Exposures and Allergic versus Nonallergic Mechanisms. Clin. Exp. Allergy 2015, 45, 1478–1482. [Google Scholar] [CrossRef]
- Burnett, E.F.P.; Straube, J.F. Building Science for Building Enclosures; John Frederick Straube, 2025; ISBN 9781069338105. [Google Scholar]
- Lstiburek, J. Understanding Ventilation in Hot Humid Climates. Building Science Digest 2006.
- ASHRAE ANSI/ASHRAE Standard 160-2021: Criteria for Moisture-Control Design Analysis in Buildings; ASHRAE, 2021.
- Kim, S.; Zirkelbach, D.; Künzel, H.M. Review of Methods to Create Meteorological Data Suitable for Moisture Control Design by Hygrothermal Building Envelope Simulation. Energies 2023, 16, 3271. [Google Scholar] [CrossRef]
- Anderson, J.; Argall, R.; Creason, H.; Duncan, S.; Dyrelund, A.; Durham, W.; Good, J.; Gudmundsson, O.; Hock, V.; Kugeler, H.; et al. Guide for Resilient Energy Systems Design in Hot and Humid Climates; Zhivov, A., Ed.; Ashrae, 2025; ISBN 9781955516433. [Google Scholar]







| Scenario | Typical locations | Mechanisms / conditions | Signs / impacts | Implication |
| Exterior biofouling | Exterior walls; roofs; shaded and rain-exposed surfaces | Rain/dew wetting; humid air; delayed drying; warm nights; retentive finishes | Discoloration; staining; streaks; coating deterioration | Indicates insufficient surface drying, not only appearance loss |
| Summer condensation in envelopes | Walls/roofs; insulation; gypsum-board rear side; wood substrates | Inward vapor drive; humid-air leakage; cooled layers; poor drying; high dew point | Often hidden; odor; concealed mold; lower thermal performance; deterioration | Design should address inward loading and limited post-wetting drying |
| Localized surface dampness | Behind furniture; closets; corners; near windows; cooled surfaces | Local cooling; stagnant air; low air speed; humid-air inflow; insufficient dehumidification | Local staining; odor; condensation marks; mold on finishes | Room averages are insufficient; local microclimate is a design target |
| Moisture stagnation in hidden spaces | Attics; crawl spaces; ceiling voids; shafts; hidden cavities | Humid-air stagnation; leakage; residual moisture; pressure differences; poor ventilation | Often hidden; odor; staining; concealed deterioration; microbial source potential |
| Method | Output | Strength | Limitation in hot-humid buildings |
| Threshold | Threshold exceedance / duration | Simple; useful for screening and comparison | Limited for growth stage or material response; differences fade under persistent humidity |
| FI | Empirical fungal growth index | Practical in Japanese indoor studies; sensitive to humid spikes | No explicit material/species effect; may stay chronically high |
| VTT | Mold growth stage index | Includes material sensitivity; useful for envelope assessment | Can saturate under sustained humidity; reduced discrimination |
| IBP-type | Growth-permissive condition | Clear temperature-RH growth boundary | Weak treatment of cumulative history and recovery |
| MRD / DR-SIM | Cumulative / dynamic hazard | Better reflects accumulation and recovery | Parameter-sensitive; values may remain persistently high |
| Probabilistic | Probability of occurrence | Incorporates uncertainty and variability | Data-intensive; limited routine application |
| Domain | Main issue | Moisture impact | Response |
| Rain control / drainage | Repeated rain exposure and wetting | Exterior contamination; higher envelope moisture; delayed drying | Use assemblies that drain and dry after wetting |
| Airtightness | Humid outdoor air enters through leakage | Localized humidity; hidden envelope wetting | Control leakage paths; coordinate with pressure management |
| Vapor resistance / drying path | One-way drying can trap moisture | Summer condensation; poor recovery; concealed deterioration | Check drying direction and drying paths explicitly |
| Material selection | Moisture-buffering materials may stay wet | Supports microbial settlement and persistence | Assess drying rate and biological susceptibility |
| Ventilation | Ventilation may add moisture | Higher indoor humidity; surface moisture risk | Design with outdoor conditions, latent load, and pressure balance |
| Cooling / dehumidification | Cooling alone may leave humidity unresolved | Micro-condensation; local high RH; mold growth | Address latent load, not only sensible load |
| Hidden spaces | Attics, crawl spaces, and voids retain moisture | Hidden reservoirs of damage and microbial sources | Secure access, ventilation, and moisture-release paths |
| Operation / maintenance | Use, cleaning, and furniture placement affect outcomes | Strong effect on contamination, persistence, and exposure | Consider operation and maintenance from design stage |
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