scholarly journals Application of Human-biometeorological Comfort Conditions in Köppen-geiger Climate type for Different Cities of Gangetic West Bengal

2020 ◽  
pp. 14-25
Author(s):  
Jit Biswas
Keyword(s):  
West Bengal ◽  
Meteorological Data ◽  
Thermal Conditions ◽  
Physiological Equivalent Temperature ◽  
Climate Type ◽  
Human Thermal Comfort ◽  
Time Period ◽  
Tourism Sector ◽  
Rayman Model ◽  
Very High

Gangetic West Bengal (GWB) belongs to Aw climate type after Köppen-Geiger climate classification (KGC). Human thermal comfort (HTC) and vapour pressure (VP) conditions together can represent human-biometeorological comfort conditions. Physiological equivalent temperature (PET) is used for indexing HTC. 3-hr PET and VP values are calculated based on hourly meteorological data of six selected cities for 18 years (2000-2017) time period. RayMan model has been applied to calculate hourly PETs and VPs. PET and VP data are grouped by frequencies and time period into several classes. Spatial distribution and dispersion characters of biometeorological comfort conditions are measured by statistical techniques. Thermally heat stress is very high in Apr and May. Months of winter indicate the presence of different thermal conditions. Annual comfort is maximum in the coastal city when stressful condition mostly prevails over Krishnanagar (KNG). Puruliya (PRA) shows the driest condition. The obtained information can be applied in planning, healthcare, and tourism sector.

scholarly journals Climate-Responsive Green-Space Design Inspired by Traditional Gardens: Microclimate and Human Thermal Comfort of Japanese Gardens

2021 ◽  
Vol 13 (5) ◽  
pp. 2736
Author(s):  
Lihua Cui ◽  
Christoph D. D. Rupprecht ◽  
Shozo Shibata
Keyword(s):  
Thermal Stress ◽  
Thermal Comfort ◽  
Thermal Environment ◽  
Meteorological Data ◽  
Green Spaces ◽  
Physiological Equivalent Temperature ◽  
Urban Green Spaces ◽  
Thermal Environments ◽  
Human Thermal Comfort ◽  
Japanese Gardens

Urban green spaces can provide relaxation, exercise, social interaction, and many other benefits for their communities, towns, and cities. However, green spaces in hot and humid regions risk being underutilized by residents unless thermal environments are designed to be sufficiently comfortable. Understanding what conditions are needed for comfortable outdoor spaces, particularly how people feel in regard to their thermal environment, is vital in designing spaces for public use. Traditional gardens are excellent examples of successful microclimate design from which we can learn, as they are developed over the generations through observation and modification. This study analyzed how Japanese gardens affect people’s thermal stress on extremely hot summer days. Meteorological data was collected in three Japanese gardens, and human thermal comfort was evaluated through physiological equivalent temperature (PET). Statistical analysis examined the relationship between spatial configurations of the gardens and thermal comfort. Our study revealed that Japanese gardens can efficiently ameliorate thermal stress. Spatial analysis showed that garden elements affect thermal comfort variously depending on time of the day and spatial distribution.

SATELLITE DATA FOR INVESTIGATION OF RECENT STATE AND PROCESSES IN THE SIVASH BAY

2017 ◽  
Author(s):  
Ekaterina Shchurova ◽  
Ekaterina Shchurova ◽  
Rimma Stanichnaya ◽  
Rimma Stanichnaya ◽  
Sergey Stanichny ◽  
...  
Keyword(s):  
Satellite Data ◽  
Water Exchange ◽  
High Salinity ◽  
Meteorological Data ◽  
Sea Surface ◽  
Azov Sea ◽  
Seasonal Wind ◽  
Ice Regime ◽  
Very High

Sivash bay is the shallow-water lagoon of the Azov Sea. Restricted water exchange and high evaporation form Sivash as the basin with very high salinity. This factor leads to different from the Azov Sea thermal and ice regimes of Sivash. Maine aim of the study presented to investigate recent state and changes of the characteristics and processes in the basin using satellite data. Landsat scanners TM, ETM+, OLI, TIRS together with MODIS and AVHRR were used. Additionally NOMADS NOAA and MERRA meteorological data were analyzed. The next topics are discussed in the work: 1. Changes of the sea surface temperature, ice regime and relation with salinity. 2. Coastal line transformation – long term and seasonal, wind impact. 3. Manifestation of the Azov waters intrusions through the Arabat spit, preferable wind conditions.

scholarly journals Overall burden of under-nutrition measured by a Composite Index in rural pre-school children in Purba Medinipur, West Bengal, India

2013 ◽  
Vol 76 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Atanu Acharya ◽  
Gopal Chandra Mandal ◽  
Kaushik Bose
Keyword(s):  
Child Development ◽  
School Children ◽  
West Bengal ◽  
Composite Index ◽  
Total Sample ◽  
Under Nutrition ◽  
Nutrition Supplementation ◽  
And Gender ◽  
Very High ◽  
Development Service

Abstract Malnutrition is a leading cause of child mortality in India. To counteract this problem, a nutrition supplementation programme has been operating under the Integrated Child Development Service (ICDS) scheme in India since 1975. Recently, the Composite Index of Anthropometric Failure (CIAF) has been implemented to measure the seriousness and severity of overall under-nutrition in a population. Since this index presents a more complete picture than the previous three conventional measures. CIAF is utililized in this study which focuses on the overall burden of under-nutrition determination in pre-school children in Purba Medinipur, West Bengal, India. Our study was conducted in 10 Integrated Child Development Service (ICDS) centres, commonly known as “Anganwadi”, in the villages of the Argoal Gram Panchayat at Patashpur - II block. The total sample of 225 Bengalee ethnic children aged between 3 and 6 years was composed of 115 girls and 110 boys. The overall age and gender-combined prevalence of stunting, underweight and wasting recorded was 30.7%, 42.7% and 12.0%, respectively, and these rates were considered high (30-39%), very high (≥ 40%) and high (10-14%), respectively. CIAF results revealed the same trend, with 50.2% of these children affected by anthropometric failure, with the prevalence of underweight, wasting and CIAF higher in boys than in girls. This 50.2% CIAF result highlighted that approximately half the study children were undernourished. Since this figure is much higher than that estimated by any of the three conventional indicators,, CIAF has thus proven a far better indicator in assessing the overall burden of under-nutrition in a population. The nutritional status of the children in this study requires serious remedial action.

Kebertahanan Subak di Era Globalisasi

2018 ◽  
Vol 1 (2) ◽  
pp. 125-144
Author(s):  
Wayan Windia
Keyword(s):  
Irrigation Water ◽  
Rice Field ◽  
Irrigation System ◽  
Green Revolution ◽  
Social Aspects ◽  
Land Conversion ◽  
Tourism Sector ◽  
Strategic Policy ◽  
External Intervention ◽  
Very High

Basically subak is a farmer-managed irrigation system in Bali. It is an entity managing some sites of rice field, getting irrigation water from one source, having subak temple, and getting an autonomy of internally and externally. It also has some natural bounderies. Subak as a socio-cultural institution has some strengths. But subak is very weak because of external intervention. The globalization (competition, pragmatism, materialism, etc) highly influences the subak existence. Now, irrigation water for subak is taken by tourism sector as water drinking industry and by the domestic used. Therefore water for subak is limited. Also, the land tax (pajak bumi dan bangunan) is very high, because the number of tax is based on rice fileld location. That is why land conversion in Bali is very high, about 750 ha/year. The problems and threats of subak in Bali are coming from tourism sector, green revolution concept, free trade, and biotechnology development. To increase the defensiveness and sustainability of subak needs a strategic policy in relation with parhyangan (values) aspects, pawongan (social) aspects, and palemahan (physical) aspects.

scholarly journals A countrywide analysis of 27 solar power plants installed at different climates

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Talat Ozden
Keyword(s):  
Power Plant ◽  
Alternative Energy ◽  
Power Plants ◽  
Solar Power ◽  
Meteorological Data ◽  
Energy Sources ◽  
Climate Classification ◽  
Climate Type ◽  
Monthly Average ◽  
The World

AbstractThe world is still heavily using nonconventional energy sources, which are worryingly based on carbon. The step is now alternative energy sources hoping that they will be more environmentally friendly. One of the important energy conversion forms by using these sources is photovoltaic solar systems. These type of power plants is on the increase in everyday on the world. Before investment a solar power plant in a specified region, a techno-economic analyse is performed for that power plant by using several meteorological data like solar irradiance and ambient temperature. However, this analyses generally lacks evaluation on effects of climatic and geographical conditions. In this work, 5 years of data of 27 grid-connected photovoltaic power plants are investigated, which are installed on seven different climate types in Turkey. Firstly, the power plants are categorized considering the tilt angles and Köppen–Gieger climate classification. The performance evaluations of the plants are mainly conducted using monthly average efficiencies and specific yields. The monthly average efficiencies, which were classified using the tilts and climate types were from 12 to 17%, from 12 to 16% and from 13 to 15% for tilts 30°/10°, 25° and 20°, respectively. The variation in the specific yields decrease with elevation as y(x) =  − 0.068x + 1707.29 (kWh/kWp). As the performances of photovoltaic systems for some locations within the Csb climatic regions may relatively lower than some other regions with same climate type. Thus, techno-economic performance for PVPP located in this climate classification should be carefully treated.

scholarly journals Impact of meteorological factors on number of new COVID-19 cases in Pune

2021 ◽  
Vol 8 (9) ◽  
pp. 4307
Author(s):  
Saurabh Mahajan ◽  
Ravi Devarakonda ◽  
Gautam Mukherjee ◽  
Nisha Verma ◽  
Kumar Pushkar
Keyword(s):  
Meteorological Data ◽  
Secondary Data ◽  
Significant Negative Correlation ◽  
Meteorological Variables ◽  
Strong Positive Correlation ◽  
Daily Number ◽  
Average Temperature ◽  
Time Period ◽  
Indian Meteorological Department ◽  
The Impact

Background: Coronaviruses are a family of viruses that can result in different types of illnesses, most commonly, as Severe acute respiratory syndrome (SARS). Researches have shown that the atmospheric variables and the density of population have affected the transmission of the disease. Meteorological variables like temperature, humidity among others have found to affect the rise of pandemic in positive or negative ways.  Respiratory virus illnesses have shown seasonal variability since the time they have been discovered and managed. This study investigated the relationship between the meteorological variables of temperature, humidity and precipitation in the spread of COVID-19 disease in the city of Pune.Methods: This record based descriptive study is conducted after secondary data analysis of number of new cases of COVID-19 per day from the period 01 May to 24 December 2020 in Pune. Meteorological data of maximum (Tmax), minimum (Tmin) and daily average temperature (Tavg), humidity and precipitation were daily noted from Indian meteorological department website. Trend was identified plotting the daily number of clinically diagnosed cases over time period. Pearson’s correlation was used to estimate association between meteorological variables and daily detected fresh cases of COVID-19 disease.  Results: Analysis revealed significant negative correlation (r=-0.3563, p<0.005) between daily detected number of cases and maximum daily temperature. A strong positive correlation was seen between humidity and daily number of cases (r=0.5541, p<0.005).Conclusions: The findings of this study will aid in forecasting epidemics and in preparing for the impact of climate change on the COVID epidemiology through the implementation of public health preventive measures.

scholarly journals Provide a New Encryption Algorithm for Medical Images and Evaluate the Proposed Algorithm

2019 ◽  
Vol 8 (1) ◽  
pp. 2
Author(s):  
Mehdi Lotfi ◽  
Hossein Kheiri ◽  
Azizeh Jabbari
Keyword(s):  
Differential Equations ◽  
Chaotic Systems ◽  
Medical Information ◽  
Medical Images ◽  
Encryption Algorithm ◽  
Key Generation ◽  
Time Period ◽  
Key Space ◽  
Encryption And Decryption ◽  
Very High

Introduction:  In this paper, an encryption algorithm for the security of medical images is presented, which has extraordinary security. Given that the confidentiality of patient data is one of the priorities of medical informatics, the algorithm can be used to store and send medical image.Material and Methods:  In this paper, the solutions of chaotic differential equations are used to generate encryption keys. This method is more than other methods used in encoding medical images, resistant to statistics attacks, low encryption and decryption time and very high key space. In the proposed algorithm, unlike other methods that use random key generation, this method uses the production of solutions of the chaotic differential equations in a given time period for generating a key. All simulations and coding are done in MATLAB software.Results:   Chaotic Differential Equations have two very important features that make it possible to encode medical images. One is the unpredictability of the system's behavior and the other is a severe sensitivity to the initial condition.Conclusion: These two features make the method resistant to possible attacks to decode the concept of synchronization chaotic systems. Using the results of the method, medical information can be made safer than existing ones.

scholarly journals Changing Trends of Antimicrobial Resistance in Neonatal Sepsis: Experience from a Tertiary Care Hospital from West Bengal, India

2021 ◽  
Author(s):  
Manjula Dutta ◽  
Piyali Mitra ◽  
Shankha Subhra Nag ◽  
Abhijit Dutta
Keyword(s):  
Staphylococcus Aureus ◽  
Klebsiella Pneumoniae ◽  
Acinetobacter Baumannii ◽  
Neonatal Sepsis ◽  
West Bengal ◽  
Tertiary Care ◽  
World Health ◽  
Klebsiella Pneumonia ◽  
High Degree ◽  
Very High

Introduction: Sepsis is the second leading cause of neonatal mortality in India. Emergence of highly resistant microorganisms as an aetiology of neonatal sepsis is a matter of serious concern. Aim: To study the prevailing aetiological agents in neonatal sepsis and their antimicrobial susceptibility pattern. Materials and Methods: A prospective observational study was performed in a tertiary care teaching hospital in neonatal care units in North Bengal Medical College and Hospital, West Bengal, India, over a period of two years from March 2017 to February 2019. All the neonates having clinical features suggestive of sepsis were subjected to blood culture using BacT/ALERT® PF Plus. Microbial identification and antibiotic susceptibility testing was done by VITEK-2 automated systems. Chi-square test was done using Epi info software version 7.1 and p-value <0.05 was considered significant. Results: Out of 403 neonates investigated for suspected sepsis, 156 (38.7%) were found to be culture positive. Klebsiella pneumoniae was the most common organism isolated (n=90, 57.7%) followed by Staphylococcus aureus (n=24, 15.4%) and Acinetobacter baumannii (n=10, 6.4%). Klebsiella pneumoniae showed a very high degree of resistance to ampicillin, amoxycillin- clavulenic acid (100% each), cefotaxime (93.4%), ceftazidime (92.3%), gentamycin (94.5%) and tobramycin (94.5%). High resistance of Staphylococcus aureus was seen against ampicillin (100%), cloxacillin (62.5%), amoxicillin-clavulenic acid (70.9%), and cefotaxime (79.2%). Few isolates of Klebsiella pneumonia (6.6%), Acinetobacter baumannii (60%) and Enterobacter cloacae (50%) were sensitive only to colistin and tigecycline. Conclusion: Most of the isolates showed very high degree of resistance against first line of antibiotics recommended by World Health Organisation (WHO) (ampicillin and gentamycin or amikacin) for empirical treatment of neonatal sepsis. Emergence of highly resistant organisms sensitive only to colistin and tigecycline should be considered as an eye opener. Strict adherence to sepsis prevention along with regular surveillance of organisms and their sensitivity patterns is the need of the hour to improve survival by contributing to antibiotic stewardship.

Sustainable Development Goals (SDG) and Economic Results in the Economic Sector of the Colombian Caribbean

2022 ◽  
pp. 281-305
Author(s):  
Francisco Espasandín-Bustelo ◽  
Lourdes Osorio Bayter
Keyword(s):  
Interest Groups ◽  
Secondary Data ◽  
Material Object ◽  
Economic Sector ◽  
Collection Method ◽  
Tourism Sector ◽  
The Social ◽  
Development Goals ◽  
Different Sources ◽  
Very High

This research is important for several reasons. First, companies are being pressured by different interest groups to contribute to the achievement of the SDGs; second, a very high percentage of companies are not even sensitive to the fact that the SDGs are important for their sustainability; thirdly, researchers, especially those in the social sciences, have not generated knowledge about the state of the SDGs in companies; and fourth, the tourism sector is important for the achievement of the SDGs. The data collection method focuses on the material object “hotel companies” and uses secondary data available in different sources. Among the most relevant results of the research, the authors highlight the following: first, the companies in the sample, although they do not seem to have a formal plan, implement one or more SDGs; in second place, the SDG implemented in the largest number of companies is gender equality; thirdly, the least implemented SDGs are quality education, clean water and sanitation, affordable and non-polluting energy, and reduction of inequalities.

Medical Emergencies During a Half Marathon Race – The Influence of Weather

2019 ◽  
Vol 40 (05) ◽  
pp. 312-316 ◽  
Author(s):  
Eric Carlström ◽  
Mats Borjesson ◽  
Gunnar Palm ◽  
Amir Khorram-Manesh ◽  
Fredrik Lindberg ◽  
...  
Keyword(s):  
Meteorological Data ◽  
Weather Conditions ◽  
Daily Maximum ◽  
Equivalent Temperature ◽  
Physiological Equivalent Temperature ◽  
Marathon Race ◽  
Air Temperatures ◽  
Medical Emergencies ◽  
Pet Index ◽  
Maximum Air Temperature

AbstractThe aim was to analyze the influence of weather conditions on medical emergencies in a half-marathon, specifically by evaluating its relation to the number of non-finishers, ambulance-required assistances, and collapses in need of ambulance as well as looking at the location of such emergencies on the race course. Seven years of data from the world’s largest half marathon were used. Meteorological data were obtained from a nearby weather station, and the Physiological Equivalent Temperature (PET) index was used as a measure of general weather conditions. Of the 315,919 race starters, 104 runners out of the 140 ambulance-required assistances needed ambulance services due to collapses. Maximum air temperature and PET significantly co-variated with ambulance-required assistances, collapses, and non-finishers (R2=0.65–0.92; p=0.001–0.03). When air temperatures vary between 15–29°C, an increase of 1°C results in an increase of 2.5 (0.008/1000) ambulance-required assistances, 2.5 (0.008/1000) collapses (needing ambulance services), and 107 (0.34/1000) non-finishers. The results also indicate that when the daily maximum PET varies between 18–35°C, an increase of 1°C PET results in an increase of 1.8 collapses (0.006/1000) needing ambulance services and 66 non-finishers (0.21/1000).

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