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Book
Indoor Air Quality
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The monitoring of indoor air pollutants in a spatio-temporal basis is challenging. A key element is the access to local (i.e., indoor residential, workplace, or public building) exposure measurements. Unfortunately, the high cost and complexity of most current air pollutant monitors result in a lack of detailed spatial and temporal resolution. As a result, individuals in vulnerable groups (children, pregnant, elderly, and sick people) have little insight into their personal exposure levels. This becomes significant in cases of hyper-local variations and short-term pollution events such as instant indoor activity (e.g., cooking, smoking, and dust resuspension). Advances in sensor miniaturization have encouraged the development of small, inexpensive devices capable of estimating pollutant concentrations. This new class of sensors presents new possibilities for indoor exposure monitoring. This Special Issue invites research in the areas of the triptych: indoor air pollution monitoring, indoor air modeling, and exposure to indoor air pollution. Topics of interest for the Special Issue include, but are not limited to, the following: low-cost sensors for indoor air monitoring; indoor particulate matter and volatile organic compounds; ozone-terpene chemistry; biological agents indoors; source apportionment; exposure assessment; health effects of indoor air pollutants; occupant perception; climate change impacts on indoor air quality.

Keywords

perceived indoor air quality --- building research --- indoor air questionnaires --- psychosocial work environment --- categorisation --- ventilation --- mould --- moisture --- man-made mineral fibres --- IAQ --- enhanced living environments --- IEQ --- IoT --- smart cities --- LEC --- passive space design --- tubular space --- physical building environment --- fieldwork test --- subway station building complex --- thermal comfort --- arousal level --- physiological indices --- electroencephalography --- electrocardiography --- airborne microorganisms --- bacteria --- fungi --- gyms --- indoor air quality --- libraries --- offices --- contactless measurements --- skin sensitivity index --- subtleness magnification --- deep learning --- piecewise stationary time series --- PM2.5 --- sensor --- correction --- pan frying --- secondhand smoke --- urban traffic --- allergens --- endotoxin --- biological agents --- laboratory animal allergy --- environmental monitoring --- occupational exposure --- perceived comfort --- sick building syndrome --- health effects --- internet of things --- e-nose --- smart home --- ESP32 --- teenagers --- children --- bedroom --- CO2 --- particulate matter --- perception --- response behavior --- psychological attribute --- indoor environment quality --- PPD --- TVOC --- BREEAM assessment --- occupant satisfaction --- children’s house --- industrial city --- window opening --- cooking --- STAMP --- STPA --- physical process --- indoor environment safety --- smart home systems --- IAQ improvement --- photo-paint --- NO --- Toluene degradation  --- n/a --- children's house


Book
Indoor Air Quality
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The monitoring of indoor air pollutants in a spatio-temporal basis is challenging. A key element is the access to local (i.e., indoor residential, workplace, or public building) exposure measurements. Unfortunately, the high cost and complexity of most current air pollutant monitors result in a lack of detailed spatial and temporal resolution. As a result, individuals in vulnerable groups (children, pregnant, elderly, and sick people) have little insight into their personal exposure levels. This becomes significant in cases of hyper-local variations and short-term pollution events such as instant indoor activity (e.g., cooking, smoking, and dust resuspension). Advances in sensor miniaturization have encouraged the development of small, inexpensive devices capable of estimating pollutant concentrations. This new class of sensors presents new possibilities for indoor exposure monitoring. This Special Issue invites research in the areas of the triptych: indoor air pollution monitoring, indoor air modeling, and exposure to indoor air pollution. Topics of interest for the Special Issue include, but are not limited to, the following: low-cost sensors for indoor air monitoring; indoor particulate matter and volatile organic compounds; ozone-terpene chemistry; biological agents indoors; source apportionment; exposure assessment; health effects of indoor air pollutants; occupant perception; climate change impacts on indoor air quality.

Keywords

Research & information: general --- Environmental economics --- perceived indoor air quality --- building research --- indoor air questionnaires --- psychosocial work environment --- categorisation --- ventilation --- mould --- moisture --- man-made mineral fibres --- IAQ --- enhanced living environments --- IEQ --- IoT --- smart cities --- LEC --- passive space design --- tubular space --- physical building environment --- fieldwork test --- subway station building complex --- thermal comfort --- arousal level --- physiological indices --- electroencephalography --- electrocardiography --- airborne microorganisms --- bacteria --- fungi --- gyms --- indoor air quality --- libraries --- offices --- contactless measurements --- skin sensitivity index --- subtleness magnification --- deep learning --- piecewise stationary time series --- PM2.5 --- sensor --- correction --- pan frying --- secondhand smoke --- urban traffic --- allergens --- endotoxin --- biological agents --- laboratory animal allergy --- environmental monitoring --- occupational exposure --- perceived comfort --- sick building syndrome --- health effects --- internet of things --- e-nose --- smart home --- ESP32 --- teenagers --- children --- bedroom --- CO2 --- particulate matter --- perception --- response behavior --- psychological attribute --- indoor environment quality --- PPD --- TVOC --- BREEAM assessment --- occupant satisfaction --- children's house --- industrial city --- window opening --- cooking --- STAMP --- STPA --- physical process --- indoor environment safety --- smart home systems --- IAQ improvement --- photo-paint --- NO --- Toluene degradation  --- perceived indoor air quality --- building research --- indoor air questionnaires --- psychosocial work environment --- categorisation --- ventilation --- mould --- moisture --- man-made mineral fibres --- IAQ --- enhanced living environments --- IEQ --- IoT --- smart cities --- LEC --- passive space design --- tubular space --- physical building environment --- fieldwork test --- subway station building complex --- thermal comfort --- arousal level --- physiological indices --- electroencephalography --- electrocardiography --- airborne microorganisms --- bacteria --- fungi --- gyms --- indoor air quality --- libraries --- offices --- contactless measurements --- skin sensitivity index --- subtleness magnification --- deep learning --- piecewise stationary time series --- PM2.5 --- sensor --- correction --- pan frying --- secondhand smoke --- urban traffic --- allergens --- endotoxin --- biological agents --- laboratory animal allergy --- environmental monitoring --- occupational exposure --- perceived comfort --- sick building syndrome --- health effects --- internet of things --- e-nose --- smart home --- ESP32 --- teenagers --- children --- bedroom --- CO2 --- particulate matter --- perception --- response behavior --- psychological attribute --- indoor environment quality --- PPD --- TVOC --- BREEAM assessment --- occupant satisfaction --- children's house --- industrial city --- window opening --- cooking --- STAMP --- STPA --- physical process --- indoor environment safety --- smart home systems --- IAQ improvement --- photo-paint --- NO --- Toluene degradation 


Book
Indoor Air Quality
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The monitoring of indoor air pollutants in a spatio-temporal basis is challenging. A key element is the access to local (i.e., indoor residential, workplace, or public building) exposure measurements. Unfortunately, the high cost and complexity of most current air pollutant monitors result in a lack of detailed spatial and temporal resolution. As a result, individuals in vulnerable groups (children, pregnant, elderly, and sick people) have little insight into their personal exposure levels. This becomes significant in cases of hyper-local variations and short-term pollution events such as instant indoor activity (e.g., cooking, smoking, and dust resuspension). Advances in sensor miniaturization have encouraged the development of small, inexpensive devices capable of estimating pollutant concentrations. This new class of sensors presents new possibilities for indoor exposure monitoring. This Special Issue invites research in the areas of the triptych: indoor air pollution monitoring, indoor air modeling, and exposure to indoor air pollution. Topics of interest for the Special Issue include, but are not limited to, the following: low-cost sensors for indoor air monitoring; indoor particulate matter and volatile organic compounds; ozone-terpene chemistry; biological agents indoors; source apportionment; exposure assessment; health effects of indoor air pollutants; occupant perception; climate change impacts on indoor air quality.

Keywords

Research & information: general --- Environmental economics --- perceived indoor air quality --- building research --- indoor air questionnaires --- psychosocial work environment --- categorisation --- ventilation --- mould --- moisture --- man-made mineral fibres --- IAQ --- enhanced living environments --- IEQ --- IoT --- smart cities --- LEC --- passive space design --- tubular space --- physical building environment --- fieldwork test --- subway station building complex --- thermal comfort --- arousal level --- physiological indices --- electroencephalography --- electrocardiography --- airborne microorganisms --- bacteria --- fungi --- gyms --- indoor air quality --- libraries --- offices --- contactless measurements --- skin sensitivity index --- subtleness magnification --- deep learning --- piecewise stationary time series --- PM2.5 --- sensor --- correction --- pan frying --- secondhand smoke --- urban traffic --- allergens --- endotoxin --- biological agents --- laboratory animal allergy --- environmental monitoring --- occupational exposure --- perceived comfort --- sick building syndrome --- health effects --- internet of things --- e-nose --- smart home --- ESP32 --- teenagers --- children --- bedroom --- CO2 --- particulate matter --- perception --- response behavior --- psychological attribute --- indoor environment quality --- PPD --- TVOC --- BREEAM assessment --- occupant satisfaction --- children’s house --- industrial city --- window opening --- cooking --- STAMP --- STPA --- physical process --- indoor environment safety --- smart home systems --- IAQ improvement --- photo-paint --- NO --- Toluene degradation  --- n/a --- children's house


Book
Distributed Energy Resources Management 2018
Authors: ---
ISBN: 3039281712 3039281704 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Keywords

n/a --- virtual power plant --- bidding strategy --- local flexibility market --- multi-period optimal power flow --- flexibility service --- occupant comfort --- unbalanced networks --- decentralized energy management system --- autonomous control --- optimization --- energy storage --- microgrids --- energy efficiency --- distributed energy --- control system --- DSM --- optimal scheduling --- adaptability --- synergistic optimization strategy --- teaching-learning --- distributed generation --- energy storage system --- stackelberg dynamic game --- IoT (Internet of Things) --- supply and demand --- comprehensive benefits --- distributed generator --- frequency bus-signaling --- active distribution networks --- swarm intelligence --- wind --- multi-agent technology --- solar --- power system management --- fault-tolerant control --- indoor environment quality --- multi-temporal optimal power flow --- multi-agent synergetic estimation --- smart grids --- local energy trading --- active power control --- prosumer --- microgrid --- trade agreements --- healthy building --- smart grid --- nonlinear control --- algorithm design and analysis --- batteries --- droop control --- distributed energy resources --- aggregator --- multi-agent system --- frequency control --- particle swarm optimization --- distribution system operator --- building climate control --- low voltage networks --- demand Response --- clustering --- distributed coordination --- demand-side management --- demand response


Book
Assessment of Environmental Radioactivity and Radiation for Human Health Risk
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Ten years have passed since the nuclear accident occurred in Fukushima, Japan, following the Great East Japan earthquake. Thereafter, many people around the world have been concerned about the risks posed by radiation. They still believe that even a small amount of radiation exposure will affect human health. In reality, however, there are many natural radionuclides in the environment, which emit a variety of types of radiation. Although it is well known that there is a positively linear relationship between acute radiation exposure and cancer risk in atomic bomb survivors, the risk of chronic radiation exposure due to natural radionuclides cannot be well explained to people who have lived in high-background radiation areas for many generations. Therefore, more studies in this research field are required to obtain new scientific findings. In order to promote further scientific activities, it will be the best for us to understand the current status of this field by summarizing what we have apprehended so far. This Special Issue will highlight measurement data, methodologies, radiation biology, and risk assessment related to radiation.

Keywords

Biography & True Stories --- air dose rate --- difficult-to-return zone --- evacuation order-lifted areas --- effective dose rate --- external exposure risk --- Fukushima Daiichi Nuclear Power Station accident --- living space --- radiocesium --- surface soil --- Tomioka town --- tritium monitoring --- fusion test facility --- deuterium plasma experiment --- monthly precipitation --- chemical composition --- Fukushima Daiichi Nuclear Power Plant --- strontium-90 --- cesium-137 --- seawater monitoring --- contaminated water --- dose assessment --- Japan --- bottled water --- guidance level --- WHO --- natural radionuclides --- artificial radionuclides --- effective dose --- ingestion --- passive radon monitor --- development --- sensitivity --- detection limit --- air-exchange rate --- total diet study --- radioactive cesium --- potassium-40 --- dietary intake --- Fukushima accident --- 222Rn progeny --- 220Rn progeny --- CR-39 --- equilibrium equivalent concentration --- deposition velocity --- thoron --- thoron progeny --- indoor environment --- measurement technique --- radioactivity --- residential exposure --- dose --- gamma radiation --- health risk --- radon mapping --- 226Ra --- 228Ra --- 238U --- well water --- radiological hazards --- REE and uranium mines --- northern Vietnam --- radon --- hot spring --- public health --- Namie Town --- cesium-134 --- external exposure dose evaluation --- radon concentration --- groundwater --- residence time --- limestone aquifer --- Okinawa Island --- indoor --- environment --- nationwide survey --- SSNTD --- radon potential map --- geography information systems --- geology --- risk --- exhalation rate --- long-term measurement --- seasonal variation --- Fukushima --- free-roaming cat --- reproductive organ --- internal contamination --- air dose rate --- difficult-to-return zone --- evacuation order-lifted areas --- effective dose rate --- external exposure risk --- Fukushima Daiichi Nuclear Power Station accident --- living space --- radiocesium --- surface soil --- Tomioka town --- tritium monitoring --- fusion test facility --- deuterium plasma experiment --- monthly precipitation --- chemical composition --- Fukushima Daiichi Nuclear Power Plant --- strontium-90 --- cesium-137 --- seawater monitoring --- contaminated water --- dose assessment --- Japan --- bottled water --- guidance level --- WHO --- natural radionuclides --- artificial radionuclides --- effective dose --- ingestion --- passive radon monitor --- development --- sensitivity --- detection limit --- air-exchange rate --- total diet study --- radioactive cesium --- potassium-40 --- dietary intake --- Fukushima accident --- 222Rn progeny --- 220Rn progeny --- CR-39 --- equilibrium equivalent concentration --- deposition velocity --- thoron --- thoron progeny --- indoor environment --- measurement technique --- radioactivity --- residential exposure --- dose --- gamma radiation --- health risk --- radon mapping --- 226Ra --- 228Ra --- 238U --- well water --- radiological hazards --- REE and uranium mines --- northern Vietnam --- radon --- hot spring --- public health --- Namie Town --- cesium-134 --- external exposure dose evaluation --- radon concentration --- groundwater --- residence time --- limestone aquifer --- Okinawa Island --- indoor --- environment --- nationwide survey --- SSNTD --- radon potential map --- geography information systems --- geology --- risk --- exhalation rate --- long-term measurement --- seasonal variation --- Fukushima --- free-roaming cat --- reproductive organ --- internal contamination


Book
Sustainable Building and Indoor Air Quality
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue addresses a topic of great contemporary relevance; in developed countries, most of peoples’ time is spent indoors and, depending on each person, the presence in the home ranges from 60% to 90% of the day, and 30% of that time is spent sleeping. Taking into account these data, indoor residential environments have a direct influence on human health. In addition to this, in developing countries, significant levels of indoor pollution make housing unsafe, with a detrimental impact on the health of inhabitants. Housing is therefore a key health factor for people all over the world, and various parameters such as air quality, ventilation, hygrothermal comfort, lighting, physical environment, and building efficiency, among others, can contribute to healthy architecture, and the conditions that can result from the poor application of these parameters.

Keywords

Technology: general issues --- vernacular architecture --- sustainability --- energy efficiency --- history --- statistics --- society --- acoustics --- environmental quality --- learning space --- occupant comfort --- sustainable architecture --- sustainable building --- visual comfort --- thermal comfort --- ventilation comfort --- VOCs --- polymer-based items --- indoor air quality --- test emission chamber --- exposure scenario --- natural lighting --- artificial lighting --- indoor lighting design --- chronodisruption --- circadian rhythms --- daylighting --- sustainable lighting design --- LED luminaires --- indoor environment quality --- classroom lighting --- sustainable development --- desalination --- reverse osmosis --- renewable energies --- environmental impacts --- decision support systems --- types of contract --- in-vehicle air quality --- pollution model --- thermal environment --- solar radiation --- VOCs exposure --- CFD --- environmental health --- building energy simulation --- water flow glazing --- experimental validation --- schools --- heat perception --- user’s perception --- qualitative technique --- POE --- weather file management --- weather datasets --- weather stations --- sensitivity analysis of weather parameters --- thermal zone temperature --- building energy management --- unitized facade --- Water Flow Glazing --- mean radiant temperature --- final energy consumption --- Artificial Neural Network (ANN) --- Global Data Assimilation System (GDAS) --- Numerical Weather Prediction (NWP) --- photovoltaic power --- weather data --- facility management --- construction materials --- “smelly buildings” --- Belgrade --- Serbia --- Mexico --- energy simulation --- building energy model --- Open Studio --- SGSAVE --- NOM-020-ENER-2011 --- climate zoning --- traditional construction systems --- social housing --- verification method --- climate change --- global warming --- carbon footprint --- GHG emissions --- climate emergency --- hydrogen --- PEM fuel cells --- cogeneration --- building sustainability --- energy saving --- hygrothermal comfort --- indoor green --- vertical greenery --- cost-benefit-ratio --- sick leave --- absenteeism --- alternative quantification method --- vernacular architecture --- sustainability --- energy efficiency --- history --- statistics --- society --- acoustics --- environmental quality --- learning space --- occupant comfort --- sustainable architecture --- sustainable building --- visual comfort --- thermal comfort --- ventilation comfort --- VOCs --- polymer-based items --- indoor air quality --- test emission chamber --- exposure scenario --- natural lighting --- artificial lighting --- indoor lighting design --- chronodisruption --- circadian rhythms --- daylighting --- sustainable lighting design --- LED luminaires --- indoor environment quality --- classroom lighting --- sustainable development --- desalination --- reverse osmosis --- renewable energies --- environmental impacts --- decision support systems --- types of contract --- in-vehicle air quality --- pollution model --- thermal environment --- solar radiation --- VOCs exposure --- CFD --- environmental health --- building energy simulation --- water flow glazing --- experimental validation --- schools --- heat perception --- user’s perception --- qualitative technique --- POE --- weather file management --- weather datasets --- weather stations --- sensitivity analysis of weather parameters --- thermal zone temperature --- building energy management --- unitized facade --- Water Flow Glazing --- mean radiant temperature --- final energy consumption --- Artificial Neural Network (ANN) --- Global Data Assimilation System (GDAS) --- Numerical Weather Prediction (NWP) --- photovoltaic power --- weather data --- facility management --- construction materials --- “smelly buildings” --- Belgrade --- Serbia --- Mexico --- energy simulation --- building energy model --- Open Studio --- SGSAVE --- NOM-020-ENER-2011 --- climate zoning --- traditional construction systems --- social housing --- verification method --- climate change --- global warming --- carbon footprint --- GHG emissions --- climate emergency --- hydrogen --- PEM fuel cells --- cogeneration --- building sustainability --- energy saving --- hygrothermal comfort --- indoor green --- vertical greenery --- cost-benefit-ratio --- sick leave --- absenteeism --- alternative quantification method


Book
2nd Edition of Health Emergency and Disaster Risk Management (Health-EDRM)
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.

Keywords

Public health & preventive medicine --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities


Book
Energy Consumption in a Smart City
Authors: ---
ISBN: 3036559639 3036559647 Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

A Smart City is the perfect environment to study and exploit the interactions between actors because its architecture already integrates vaious elements to collect data and connect to its citizens. Furthermore, the proliferation of web platforms (e.g., social media and web fora) and the increased affordability of sensors and IoT devices (e.g., smart meters) make data related to a large and diverse set of users accessible, as their activities in the digital world reflect their real-life actions. These new technologies can be of great use for the stakeholders as, on the one hand, they provide them with semantically rich inputs and frequent updates at a relatively cheap cost and, on the other, form a direct channel of communication with the citizens. To fully exploit these new data sources, we need both novel computational methods (e.g., AI, data mining algorithms, knowledge representation) that are suitable for analyzing and understanding the dynamics behind energy consumption and also a deeper understanding of how these methods can be integrated into the existing design and decision processes (e.g., human-in-the-loop processes).Therefore, this Special Issue welcomed original multidisciplinary research works about AI, data science methods, and their integration in existing design/decision-making processes in the domain of energy consumption in Smart Cities.

Keywords

Research & information: general --- Physics --- building energy flexibility --- HOMER software --- peak clipping --- load shifting --- energy saving --- building performance assessment --- indoor environment quality --- occupants’ satisfaction --- post-occupancy evaluation --- Green Building Index --- tropical climate --- building performance simulation --- CO2 emission --- occupant’s comfort --- window allocation --- climate change --- energy consumption --- building energy load --- thermal load --- future weather --- operative temperature --- cooling load --- daily energy need --- solar gains --- nZEB --- historical buildings --- TRNSYS --- buildings retrofitting --- buildings office --- economic feasibility --- Renewable Energy Systems (RESs) --- Zero Energy District (ZED) --- Digital Twin (DT) --- Building Information Modelling (BIM) --- Geographic Information System (GIS) --- Revit software’s --- asymmetric duty cycle control --- bifilar coil --- pulse duty cycle control --- induction heating --- metal melting --- phase shift control --- pulse density modulation --- series resonant inverter --- variable frequency control --- building operation and maintenance --- extended reality --- virtual reality --- augmented reality --- mixed reality --- immersive technologies --- digital twins --- metaverse --- positive energy district --- district energy infrastructure --- decarbonisation of neighbourhoods --- GIS --- energy transition --- smart city policy --- carbon emission intensity --- digital transformation --- green innovation --- difference-in-differences --- n/a --- occupants' satisfaction --- occupant's comfort --- Revit software's


Book
2nd Edition of Health Emergency and Disaster Risk Management (Health-EDRM)
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.

Keywords

Public health & preventive medicine --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- n/a


Book
Sustainable Building and Indoor Air Quality
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue addresses a topic of great contemporary relevance; in developed countries, most of peoples’ time is spent indoors and, depending on each person, the presence in the home ranges from 60% to 90% of the day, and 30% of that time is spent sleeping. Taking into account these data, indoor residential environments have a direct influence on human health. In addition to this, in developing countries, significant levels of indoor pollution make housing unsafe, with a detrimental impact on the health of inhabitants. Housing is therefore a key health factor for people all over the world, and various parameters such as air quality, ventilation, hygrothermal comfort, lighting, physical environment, and building efficiency, among others, can contribute to healthy architecture, and the conditions that can result from the poor application of these parameters.

Keywords

Technology: general issues --- vernacular architecture --- sustainability --- energy efficiency --- history --- statistics --- society --- acoustics --- environmental quality --- learning space --- occupant comfort --- sustainable architecture --- sustainable building --- visual comfort --- thermal comfort --- ventilation comfort --- VOCs --- polymer-based items --- indoor air quality --- test emission chamber --- exposure scenario --- natural lighting --- artificial lighting --- indoor lighting design --- chronodisruption --- circadian rhythms --- daylighting --- sustainable lighting design --- LED luminaires --- indoor environment quality --- classroom lighting --- sustainable development --- desalination --- reverse osmosis --- renewable energies --- environmental impacts --- decision support systems --- types of contract --- in-vehicle air quality --- pollution model --- thermal environment --- solar radiation --- VOCs exposure --- CFD --- environmental health --- building energy simulation --- water flow glazing --- experimental validation --- schools --- heat perception --- user’s perception --- qualitative technique --- POE --- weather file management --- weather datasets --- weather stations --- sensitivity analysis of weather parameters --- thermal zone temperature --- building energy management --- unitized facade --- Water Flow Glazing --- mean radiant temperature --- final energy consumption --- Artificial Neural Network (ANN) --- Global Data Assimilation System (GDAS) --- Numerical Weather Prediction (NWP) --- photovoltaic power --- weather data --- facility management --- construction materials --- “smelly buildings” --- Belgrade --- Serbia --- Mexico --- energy simulation --- building energy model --- Open Studio --- SGSAVE --- NOM-020-ENER-2011 --- climate zoning --- traditional construction systems --- social housing --- verification method --- climate change --- global warming --- carbon footprint --- GHG emissions --- climate emergency --- hydrogen --- PEM fuel cells --- cogeneration --- building sustainability --- energy saving --- hygrothermal comfort --- indoor green --- vertical greenery --- cost-benefit-ratio --- sick leave --- absenteeism --- alternative quantification method

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