Impact of climate change on disaster events in metropolitan cities -trend of disasters reported by Taiwan national medical response and preparedness system

Lee, Ching Chi; Lin, Shih Hao; Kao, Chia-Lin; Hong, Ming Yuan; Huang, Po-Chang; Shih, Chung Liang; Chuang, Chia Chang

doi:10.1016/j.envres.2020.109186

Cited by 28 publications

(13 citation statements)

References 18 publications

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“…Climate change is a threat that could have inevitable negative impacts on urban systems and their populations, especially in Asia, with so many megacities [6][7][8][9]. Threats and consequences of this phenomenon manifest themselves in various forms such as heatwaves, storms, and floods [10][11][12][13][14]. Proper planning and policymaking are particularly considerableto deal with these complex and wicked problems [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Urban Flood Resilience Assessment with Emphasis on Social, Economic and Institutional Dimensions: A Qualitative Study

et al. 2021

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In recent years, the effects of climate change have become more noticeable in Iran, especially in big cities. In particular, climate-related flood risk is increasingly recognized as a potential threat in the capital city of Tehran. Accordingly, the present study aimed to provide a framework/assessment tool to measure Tehran’s resilience to flood risks. To this end, 21 professionals from different disciplines were selected through a purposive sampling procedure and were interviewed using semi-structured interviews. The analysis procedure resulted in the identification of 3 themes, 15 categories, 40 subcategories, and 235 codes. The themes were social, economic, and organizational; The identified categories were culture and education (since culture is something to be learned through formal and informal education this component has two features: culture and education), participation, trust, attitude, solidarity, resources, empowerment, flexibility, credit, supervision, intercommunication, rules, specialization, and research. Validation of the indicators and their usability based on the opinions of local experts was used to calibrate the assessment tool and ensure its context-sensitivity. The results of this research can help planners and policymakers to increase their awareness of flood resilience. The approach taken in this research may also be useful for developing flood resilience assessment tools in other Iranian cities as well as in other cities of the Global South with similar conditions.

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Section: Introductionmentioning

confidence: 99%

A Framework for Urban Flood Resilience Assessment with Emphasis on Social, Economic and Institutional Dimensions: A Qualitative Study

et al. 2021

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“…As sources for atmospheric data, remote sensing, weather stations, and national meteorological information centers are being used [2,14,15,18]. Data of man-made disasters are commonly obtained from social media (Twitter), local emergency services (fire brigades, municipal services, hospitals), and others like interviews and surveys [2][3][4]7,8,13,20,21].…”

Section: State Of the Artmentioning

confidence: 99%

Data-Driven Approach for Incident Management in a Smart City

et al. 2020

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Buildings in Lisbon are often the victim of several types of events (such as accidents, fires, collapses, etc.). This study aims to apply a data-driven approach towards knowledge extraction from past incident data, nowadays available in the context of a Smart City. We apply a Cross Industry Standard Process for Data Mining (CRISP-DM) approach to perform incident management of the city of Lisbon. From this data-driven process, a descriptive and predictive analysis of an events dataset provided by the Lisbon Municipality was possible, together with other data obtained from the public domain, such as the temperature and humidity on the day of the events. The dataset provided contains events from 2011 to 2018 for the municipality of Lisbon. This data mining approach over past data identified patterns that provide useful knowledge for city incident managers. Additionally, the forecasts can be used for better city planning, and data correlations of variables can provide information about the most important variables towards those incidents. This approach is fundamental in the context of smart cities, where sensors and data can be used to improve citizens’ quality of life. Smart Cities allow the collecting of data from different systems, and for the case of disruptive events, these data allow us to understand them and their cascading effects better.

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“…Regarding climate change and the transition in weather state, the determination of weather information is becoming increasingly important. The beneficiaries of this information include organizations in charge of civil security or health (Lee et al 2020 ); companies involved in insurance, energy, transport, or agriculture (Ramachandran et al 2022 ); and people planning weekends or holidays. For instance, farmers’ work is highly weather-sensitive because their crops depend significantly on weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and implementation of a low-cost IoT-smart weather monitoring station and air quality assessment based on fuzzy inference model and MQTT protocol

Fahim

Mhouti

Boudaa

et al. 2023

Model. Earth Syst. Environ.

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The automatic weather system serves to inform farmers, tourists, planners, and others with precise information to help them take the appropriate action. Today, with the advancement of smart technologies, the system has evolved into many sensing methods to gather real-time climate data. This article investigates the modeling and implementation of a low-cost weather station device that also functions to measure air quality. The proposed system based on the Internet of Things (IoT) allows access to real-time climate data for a given area. This system monitors environmental conditions such as ambient temperature, humidity, atmospheric pressure, altitude, and levels of harmful atmospheric gases like CO 2 and NO 2 . This real-time telemetry device uses MQ-135, DHT-11 and BMP280 sensors to gather data. The ESP32 board processes the obtained data from all sensors. Additionally, we present a model for a fuzzy inference system (FIS) that performs parameter categorization using a reasoning procedure and incorporates the results into an air quality index (AQI) that describes the levels of pollution for Al Hoceima city. The FIS takes CO 2 and NO 2 values as input and returns the AQI. The AQI for Al Hoceima city is categorized into six levels: Excellent , Good , Regular , Bad , Dangerous , and Very Dangerous . Furthermore, the suggested system's block hardware employs the Message Queuing Telemetry Transport (MQTT) protocol to broadcast collected data to a mobile and web application via the Internet. The suggested IoT-embedded device was tested in real life, and the results were promising.

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Impact of climate change on disaster events in metropolitan cities -trend of disasters reported by Taiwan national medical response and preparedness system

Cited by 28 publications

References 18 publications

A Framework for Urban Flood Resilience Assessment with Emphasis on Social, Economic and Institutional Dimensions: A Qualitative Study

A Framework for Urban Flood Resilience Assessment with Emphasis on Social, Economic and Institutional Dimensions: A Qualitative Study

Data-Driven Approach for Incident Management in a Smart City

Modeling and implementation of a low-cost IoT-smart weather monitoring station and air quality assessment based on fuzzy inference model and MQTT protocol

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