scholarly journals The Connection between Architectural Elements and Adaptive Thermal Comfort of Tropical Vernacular Houses in Mountain and Beach Locations

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7427
Author(s):  
Hermawan Hermawan ◽  
Jozef Švajlenka
Keyword(s):  
Thermal Comfort ◽  
Mixed Method ◽  
Rainy Season ◽  
Qualitative Methodology ◽  
Dry Season ◽  
Architectural Elements ◽  
Air Temperatures ◽  
Adaptive Thermal Comfort ◽  
Architectural Features ◽  
Study Results

Passive thermal comfort has been widely used to test the thermal performance of a building. The science of active thermal comfort is important to be connected with the science of architecture. The currently developing active thermal comfort is adaptive thermal comfort. Vernacular houses are believed to be able to create thermal comfort for the inhabitants. The present study seeks to analyze the connection between the architectural elements of vernacular houses and adaptive thermal comfort. A mixed method was applied. A quantitative approach was used in the measurement of variables of climate, while a qualitative methodology was employed in an interview on thermal sensations. The connection between architectural elements and adaptive thermal comfort was analyzed by considering the correlation among architectural features, the analysis results of thermal comfort, and the Olgyay and psychrometric diagrams. At the beginning of the rainy season, residents of exposed stone houses had the highest comfortable percentage of 31%. In the middle of the rainy season, the highest percentage of comfort was obtained by residents of exposed brick and wooden houses on the beach at 39%. The lowest comfortable percentage experienced by residents of exposed stone houses at the beginning of the dry season was 0%. The beginning of the dry season in mountainous areas has air temperatures that are too low, making residents uncomfortable. The study results demonstrate that adaptive thermal comfort is related to using a room for adaptation to create thermal comfort for the inhabitants.

scholarly journals Studi lapangan variabel iklim rumah vernakular pantai dan gunung dalam menciptakan kenyamanan termal adaptif

2018 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Hermawan Hermawan
Keyword(s):  
Thermal Comfort ◽  
Air Temperature ◽  
Rainy Season ◽  
Thermal Sensation ◽  
Dry Season ◽  
Air Humidity ◽  
Mountain Areas ◽  
Adaptive Thermal Comfort ◽  
Temperature And Humidity ◽  
Microclimate Variables

Microclimate variables are one of the variables that affect adaptive thermal comfort. The microclimate variables are air temperature, solar radiation temperature, air humidity and wind speed. In this study the discussion of microclimate variables is specific to air temperature and air humidity. This is based on other studies which mention that the most influential climate variables are air temperature and humidity. This research is a field study that will compare air temperature and humidity in coastal and mountain areas. Measurements are carried out in 3 seasons, namely the dry season to rain, the rainy season and the rainy season to the dry season. Measurement of air and humidity temperature variables in two rooms in the building and outside space and terrace. The results of the study show that there are significant differences between coastal and mountain dwellings. This difference is related to adaptive thermal comfort through thermal sensation. Thermal sensation results show that the location of the mountain is that most residents feel cool, while at the beach location, the residents are mostly comfortable or neutral.

STUDI BIONOMIK VEKTOR MALARIA DI KECAMATAN KALIBAWANG, KULONPROGO

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Sardjito Eko Windarso dkk
Keyword(s):  
Land Use ◽  
Malaria Vector ◽  
Rainy Season ◽  
Dry Season ◽  
Physical Factors ◽  
Mosquito Vector ◽  
Anopheles Species ◽  
Commercial Farming ◽  
Study Results ◽  
Dry And Rainy Seasons

The increasing of malaria cases in recent years at Kecamatan Kalibawang has been suspected correspond with the conversion of farming land-use which initiated in 1993. Four years after the natural vegetation in this area were changed become cocoa and coffee commercial farming estates, the number of malaria cases in 1997 rose more than six times, and in 2000 it reached 6085. This study were aimed to observe whether there were any differences in density and diversity of Anopheles as malaria vector between the cocoa and mix farming during dry and rainy seasons. The results of the study are useful for considering the appropriate methods, times and places for mosquito vector controlling. The study activities comprised of collecting Anopheles as well as identifying the species to determine the density and diversity of the malaria vector. Both activities were held four weeks in dry season and four weeks in rainy season. The mea-surement of physical factors such as temperature, humidity and rainfall were also conducted to support the study results. Four dusuns which meet the criteria and had the highest malaria cases were selected as study location. Descriptively, the results shows that the number of collected Anopheles in cocoa farming were higher compared with those in mix horticultural farming; and the number of Anopheles species identifi ed in cocoa farming were also more varied than those in the mix horticultural farming.Key words: bionomik vektor malaria, anopheles,

scholarly journals Thermal performance and concentration of gases in facilities for pigs in semiarid region from State of Paraiba - Brazil

2012 ◽  
Vol 32 (1) ◽  
pp. 30-37 ◽  
Author(s):  
Dermeval A. Furtado ◽  
Daniele Amancio ◽  
José W. B. do Nascimento ◽  
Josivanda P. Gomes ◽  
Rafael C. Silva
Keyword(s):  
Carbon Monoxide ◽  
Thermal Comfort ◽  
Rainy Season ◽  
Dry Season ◽  
International Standards ◽  
Semiarid Region ◽  
Thermal Discomfort ◽  
Rainy Period ◽  
Globe Temperature ◽  
The Times

The study was conducted in a facility for pigs during the nursery and finishing in the town of 'Montadas', in the semiarid of the state of Paraiba, Brazil, in the rainy and dry season, aiming to evaluate the concentration of oxygen, methane, carbon monoxide and ammonia, and the bioclimatic indexes: ambient temperature (AT), relative humidity (RH) and the index of black globe temperature and humidity (IBGTH). These indexes differed significantly (P>0.05) between the periods and times. The AT in the rainy season was in the thermal comfort zone(TCZ) in most of the times in the nursery; for the finishing phase, thermal discomfort occurred; during the dry season, there was thermal comfort in the nursery phase; in the finishing phase the thermal discomfort occurred at all times. In the rainy season, the IBGTH was in TCZ; in the dry season, it was above the TCZ. The RH in the rainy period was in the TCZ; in the dry season, in most of the times, below the range of the TCZ. The concentration of gases showed no differences (P > 0.05) between periods and between the times, and the carbon monoxide, hydrogen sulfide and methane were below 1.0 ppm, and the ammonia showed a mean of 5.2 ppm. None of the analyzed gases exceeded the limits established by Brazilian and international standards for animals and workers.

scholarly journals The Significance of the Adaptive Thermal Comfort Limits on the Air-Conditioning Loads in a Temperate Climate

2019 ◽  
Vol 11 (2) ◽  
pp. 328 ◽  
Author(s):  
Aiman Albatayneh ◽  
Dariusz Alterman ◽  
Adrian Page ◽  
Behdad Moghtaderi
Keyword(s):  
Thermal Comfort ◽  
Air Conditioning ◽  
Temperate Climate ◽  
Heating And Cooling ◽  
Air Temperatures ◽  
Adaptive Thermal Comfort ◽  
Save Energy ◽  
One Year ◽  
Air Conditioning Systems ◽  
Thermal Comfort Model

The building industry is regarded a major contributor to climate change as energy consumption from buildings accounts for 40% of the total energy. The types of thermal comfort models used to predict the heating and cooling loads are critical to save energy in operative buildings and reduce greenhouse gas emissions (GHG). In this research, the internal air temperatures were recorded for over one year under the free floating mode with no heating or cooling, then the number of hours required for heating or cooling were calculated based on fixed sets of operative temperatures (18 °C–24 °C) and the adaptive thermal comfort model to estimate the number of hours per year required for cooling and heating to sustain the occupants’ thermal comfort for four full-scale housing test modules at the campus of the University of Newcastle, Australia. The adaptive thermal comfort model significantly reduced the time necessary for mechanical cooling and heating by more than half when compared with the constant thermostat setting used by the air-conditioning systems installed on the site. It was found that the air-conditioning system with operational temperature setups using the adaptive thermal comfort model at 80% acceptability limits required almost half the operating energy when compared with fixed sets of operating temperatures. This can be achieved by applying a broader range of acceptable temperature limits and using techniques that require minimal energy to sustain the occupants’ thermal comfort.

scholarly journals Mapping Urban and Peri-Urban Land Cover in Zimbabwe: Challenges and Opportunities

Geomatics ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 114-147
Author(s):  
Courage Kamusoko ◽  
Olivia Wadzanai Kamusoko ◽  
Enos Chikati ◽  
Jonah Gamba
Keyword(s):  
Sustainable Development ◽  
Land Cover ◽  
United Nations ◽  
Urban Areas ◽  
Rainy Season ◽  
Dry Season ◽  
Land Cover Mapping ◽  
Urban Centers ◽  
Geospatial Information ◽  
Study Results

Accurate and current land cover information is required to develop strategies for sustainable development and to improve the quality of life in urban areas. This study presents an approach that combines multi-seasonal Sentinel-1 (S1) and Sentinel-2 (S2) data, and a random forest (RF) classifier in order to map land cover in four major urban centers in Zimbabwe. The specific objective of this study was to assess the potential of multi-seasonal (rainy, post-rainy, and dry season) S1, rainy season S2, post-rainy season, dry season S2, multi-seasonal S2, and multi-seasonal composite S1 and S2 data for mapping land cover in urban areas. The study results show that the combination of multi-seasonal S1 and S2 data improve land cover mapping in urban and peri-urban areas relative to only multi-seasonal S1, mono-seasonal S2, and multi-seasonal S2 data. The overall accuracy scores for the multi-seasonal S1 and S2 land cover maps are above 85% for all urban centers. Our results indicate that rainy and post-rainy S2 spectral bands, as well as dry-season S1 VV and VH bands (ascending orbit) are the most important features for land cover mapping. In particular, S1 data proved useful in separating built-up areas from cropland, which is usually problematic when only optical imagery is used in the study area. While there are notable improvements in land cover mapping, some challenges related to the S1 data analysis still remain. Nonetheless, our land cover mapping approach shows a potential to map land cover in other urban areas in Zimbabwe or in Sub-Sahara Africa. This is important given the urgent need for reliable geospatial information, which is required to implement the United Nations Sustainable Development Goals (UN SDGs) and United Nations New Urban Agenda (NUA) programmes.

scholarly journals SEWER DISCHARGE CHARACTERISTICS AND WATER BALANCE IN DRY SEASON IN HUE, VIETNAM

2018 ◽  
Vol 54 (2A) ◽  
pp. 265 ◽  
Author(s):  
Tran Nguyen Quynh Anh
Keyword(s):  
Water Balance ◽  
Flow Rate ◽  
Water Consumption ◽  
Rainy Season ◽  
Domestic Wastewater ◽  
Dry Season ◽  
Quality Data ◽  
Sewer System ◽  
Discharge Characteristics ◽  
Study Results

Vietnam has been developing sewerage recently. Although sewer discharge quantity and quality data is vital for proper sewage management, their fluctuation has not been well characterized in most of cities in developing countries. This study aimed to characterize a combined sewer discharge in a residential drainage area (11.2 ha) in Hue city, Vietnam on dry days in dry season (DdDs). A 24-hour survey on sewage quantity and quality was conducted at the sewer outlet on two weekdays and two weekends in July 2015. Household water consumption was hourly recorded from water meters for 23 households. Then results of discharge characteristics were compared with those on dry days in rainy season (DdRs) of our previous study. Results showed that hourly variations of flow rate corresponded to the water consumption trend. Average discharge flow rate was equivalent to 38.5 ± 4.4 L/cap/day, which was much lower than that on DdRs (64.2 ± 25.0 L/cap/day). In contrast, pollutant concentrations on DdDs were higher than those on DdRs and fluctuated slightly in a day and among days in a week. Low concentrations of discharge in both dry season and rainy season showed that domestic wastewater in urban Hue was not strongly polluted in terms of organic matter and nutrients. Sewer water balance showed that only 29 % of total water inputted to the sewer system was discharged through the outlet on DdDs, while the remaining 71 % was likely exfiltrated to the ground from the sewer system, which will be a potential pollution source to soil and groundwater.

scholarly journals Locally adapted brazilian sheep: a model of adaptation to Semiarid region

2018 ◽  
Vol 39 (5) ◽  
pp. 2261 ◽  
Author(s):  
Jacinara Hody Gurgel Morais Leite ◽  
Luis Alberto Bermejo Asensio ◽  
Wallace Sostene Tavares da Silva ◽  
Wilma Emanuela da Silva ◽  
Dowglish Ferreira Chaves ◽  
...  
Keyword(s):  
Rainy Season ◽  
Reference Interval ◽  
Blood Parameters ◽  
Dry Season ◽  
Semiarid Region ◽  
Hair Density ◽  
Local Breed ◽  
Air Temperatures ◽  
Brazilian Semiarid ◽  
The Relationship

Well adapted animals are characterized by maintain homeostasis under natural conditions. The present study aimed to evaluate physiological and morphological responses, as well as identify the relationship between these parameters in order to maintain homoeothermic status, in the dry and rainy season. Measurements were taken from 383 Morada Nova hair ewes, under dry and rainy season. The studied variables included rectal temperature (RT), respiratory rate (RR), coat thickness (CT), hair length (HL), hair diameter (HD) and hair density (D). Blood samples were collected for determining biochemical, erythrogam and hormone concentration. The evaluated blood parameters from the Morada Nova breed did not demonstrate any variation from the reference interval established for sheep, confirming its adaptability profile even under high radiation and air temperatures. Multivariate analyses were performed in order to determine relationship between morphological, biochemical, erythrocyte and hormonal traits in each season. Differences correlations were observed according to season of the year. In the dry season, the correlations were significant among RT, RR, Packed cell volume (PCV), thyroxine (T4), Glucose (GLU), CT, HL, Globulin (GLO) and Total Protein (TP), whereas in dry season the characteristics that showed greater correlation were Mean corpuscular volume (MCV), thyroid hormones, Creatinine, GLO, TP, PCV and GLU. In conclusion, Morada Nova ewes was able to maintain homeothermy, even in the most stressful environmental conditions. Their hematological, biochemical and hormonal profile were within the normal range for sheep, confirming the adaptability of this local breed to the Brazilian semiarid environment.

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