Estimation of Effects of Air Pollution on the Corrosion of Historical Buildings in Bangkok

Daengprathum, Nuttacha; Onchang, Rattapon; Nakhapakorn, Kanchana; Robert, Ornprapa P.; Tipayarom, Aungsiri; Sturm, Peter

doi:10.32526/ennrj/20/202200071

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Increased tourism may, however, lead to the deterioration of old towns, e.g., increased road traffic can degrade air quality [10,11], affecting both the residents and tourists [12,13], while the atmospheric pollutants from vehicles can degrade historic buildings [14,15], with adverse consequences for the sustainability of cultural tourism in old towns. Decisionmakers are therefore increasingly promoting car-free tourism routes, with all motor vehicles prohibited.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Submicron Particulate Matter (PM1) Dispersion Due to Traffic Rerouting to Establish a Walkable Cultural Tourism Route in Ratchaburi’s Old Town, Thailand

Innurak,

Onchang,

Bohuwech

et al. 2024

Atmosphere

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Cultural tourism helps preserve cultural heritage and provides economic opportunities for local communities. A walkable cultural tourism route has been developed for the old town of Ratchaburi, Thailand. Here, we assessed changes in PM1 after cars were banned from the walkable tourist route. A near-roadway dispersion model, R-LINE, was evaluated and used to explore the base case (BC) and two scenarios, S1 and S2. In the BC, road traffic activities reflected the current situation; in S1, all vehicles were banned from the walkable route; and in S2, all drivers were encouraged to park their vehicles outside the study area. The road traffic activities in the study area were observed and used to calculate the PM1 emission rates for the model inputs. The model was capable of simulating PM1 concentration, especially the average PM1 concentration over the monitoring period. An increase in PM1 concentration was seen at the main road in S1 due to the increased traffic volume that had been redirected from the walkable route, with an increase in daily PM1 of 4.5% compared to BC. S2 showed a decrease in the PM1 concentration of 8.9%. These findings suggest the need for traffic mitigation measures prior to initiating a walkable route for cultural tourism, to meet environmental sustainability requirements.

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Section: Introductionmentioning

confidence: 99%

Simulation of Submicron Particulate Matter (PM1) Dispersion Due to Traffic Rerouting to Establish a Walkable Cultural Tourism Route in Ratchaburi’s Old Town, Thailand

Innurak,

Onchang,

Bohuwech

et al. 2024

Atmosphere

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An overview of differential models for corrosion of cultural heritage artefacts

Frasca-Caccia,

Valentino,

Colace

et al. 2023

Math. Model. Nat. Phenom.

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New technologies play a central role in damage prevention of artistic and cultural heritage. The literature is flourishing of mathematical models that describe the process of corrosion due to weathering and exposition to pollutants. These models consist of differential equations or partial differential equations that need to be solved approximately by numerical methods. This paper aims to describe the mathematical models in the literature and the numerical methods used for their solution. We focus in particular on the studies of corrosion of pieces of art made of stone, lime mortar concrete and metal.

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Integrating Artificial Intelligence and the Internet of Things in Cultural Heritage Preservation: A Systematic Review of Risk Management and Environmental Monitoring Strategies

Laohaviraphap,

Waroonkun

2024

Buildings

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Heritage buildings are increasingly vulnerable to environmental challenges like air pollution and climate change. Traditional preservation methods primarily rely on periodic inspections and manual interventions and struggle to address these evolving and dynamic threats. This systematic review analyzes how integrating Artificial Intelligence (AI) and Internet of Things (IoT) technologies can transform cultural heritage preservation. Using the PRISMA guidelines, 92 articles from SCOPUS were reviewed, highlighting key risk management and environmental monitoring methodologies. The study found that while IoT enables real-time air quality and structural health monitoring, AI enhances data analysis, providing predictive insights. The combination of IoT and AI facilitates proactive risk management, ensuring more resilient conservation strategies. Despite the growing use of these technologies, adoption remains uneven, particularly in regions most impacted by climate change. The study identifies significant research gaps and proposes an innovative framework that leverages Heritage Building Information Modeling (H-BIM) and Digital Twin (DT) for continuous monitoring and predictive maintenance through a multi-step process, beginning with the digitalization of heritage assets using H-BIM, followed by the creation of real-time digital replicas via DT. By integrating advanced technologies, the framework offers a more adaptive and sustainable approach to preserving cultural heritage, addressing both immediate threats and long-term vulnerabilities. This research underscores the need for a global, technology-driven response to safeguard heritage buildings for future generations.

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Estimation of Effects of Air Pollution on the Corrosion of Historical Buildings in Bangkok

Cited by 4 publications

References 16 publications

Simulation of Submicron Particulate Matter (PM1) Dispersion Due to Traffic Rerouting to Establish a Walkable Cultural Tourism Route in Ratchaburi’s Old Town, Thailand

Simulation of Submicron Particulate Matter (PM1) Dispersion Due to Traffic Rerouting to Establish a Walkable Cultural Tourism Route in Ratchaburi’s Old Town, Thailand

An overview of differential models for corrosion of cultural heritage artefacts

Integrating Artificial Intelligence and the Internet of Things in Cultural Heritage Preservation: A Systematic Review of Risk Management and Environmental Monitoring Strategies

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