scholarly journals Climate Parameter Variability and Health

10.5772/64955 ◽  
2016 ◽  
Author(s):  
Narges Khanjani
Keyword(s):  
Climate Parameter

Increasing Productivity Of Vegetables Through Front-line Demonstrations

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
R. S. Suman
Keyword(s):  
Agricultural Practices ◽  
Front Line ◽  
Rainfed Condition ◽  
Percent Increase ◽  
Recommended Practices ◽  
High Yielding Varieties ◽  
Climate Parameter ◽  
Sustainable Agricultural Practices ◽  
The Relationship

The highest yield (420 kg/ha) was recorded in the year 2011-12. In Front-Line Demonstration, it was 27.27 percent more over the farmers practice (320 kg/ha), however, the lowest yield (350 kg/ha) was recorded in the year 2010-11 under Front-Line Demonstration and 310 kg/ha in farmers' practice. Increase in the yield (27.27%) under Front-Line Demonstration over farmers practice was obtained during the year 2011-12. The variation in the percent increase in the yield was found due to variation in agro climate parameter under rainfed condition. Under sustainable agricultural practices, with this study it is concluded that the Front- LineDemonstration programme was effective in changing attitude, skill and knowledge of improved / recommended practices of High Yielding Varieties of peas included adoption. This also improved the relationship between farmers and scientist and built confidence between them.

Design Range of Indoor Relative Humidity in Radiant Cooling Environment

2011 ◽  
Vol 243-249 ◽  
pp. 4905-4908
Author(s):  
Xue Min Sui ◽  
Xu Zhang ◽  
Guang Hui Han
Keyword(s):  
Relative Humidity ◽  
Thermal Comfort ◽  
Mean Radiant Temperature ◽  
Design Standards ◽  
Human Thermal Comfort ◽  
Radiant Cooling ◽  
Climate Parameter ◽  
Radiant Temperature ◽  
Thermal Comfort Model ◽  
The Impact

Relative humidity is an important micro-climate parameter in radiant cooling environment. Based on the human thermal comfort model, this paper studied the effect on PMV index of relative humidity, and studied the relationship of low mean radiant temperature and relative humidity, drew the appropriate design range of indoor relative humidity for radiant cooling systems.The results show that high relative humidity can compensate for the impact on thermal comfort of low mean radiant temperature, on the premise of achieving the same thermal comfort requirements. However, because of the limited compensation range of relative humidity, together with the constraints for it due to anti-condensation of radiant terminal devices, the design range of relative humidity should not be improved, and it can still use the traditional air-conditioning design standards.

scholarly journals Climate Regulation of Rearing-Related Buildings - Evaluating the Factors Related to the Energy Requirement of Heating/Cooling, and Analysis of Alternative Solutions

2017 ◽  
Vol 5 (1) ◽  
pp. 73-83
Author(s):  
Laszló Toth ◽  
Balint Horvath ◽  
Zsolt Fulop ◽  
Csaba Fogarassy
Keyword(s):  
Energy Requirement ◽  
Heating System ◽  
Temperature Limit ◽  
Energy Usage ◽  
Climate Regulation ◽  
Technical Requirements ◽  
Huge Impact ◽  
Climate Parameter ◽  
Oil Gas ◽  
Alternative Solutions

Abstract The most notable role in the energy usage of rearing-related buildings belongs to barn climate. For animals, one of the most important climate parameter is the temperature of the barn atmosphere. This can be kept in the proper interval by either heating or cooling. Apart from the operation of technological solutions, the need for airing barns must be taken into consideration. This means there are special technical requirements for airing. Also, they can cause significant energy losses. The temperature limit of heating is mainly influenced by the technological temperature related to keeping the animal in question, its acceptable differences, the heat loss of the barn, and the airing requirement. Energy sources applicable to heating can be traditional sources (coal, oil, gas), renewable sources (solar, biomass, wind, water, or geothermal energy), or transformed energy (electricity). As these have specific operation systems, they also mean further challenges in implementing efficient energy usage. The usage of heating energy can either be optimised by the rational usage of the heating system, or machinery explicitly made for reserving energy. Sparing heating energy via recuperative heating exchange may cut costs significantly, which we also proved in this research with actual calculations. However, we have to state that the efficient usage of heat exchangers requires that the internal and external temperatures differ greatly, which has a huge impact on heat recovery performance.

scholarly journals PENENTUAN NILAI PREMI ASURANSI PERTANIAN BERBASIS INDEKS SUHU PERMUKAAN MENGGUNAKAN METODE BURN ANALYSIS

2018 ◽  
Vol 7 (4) ◽  
pp. 322
Author(s):  
A.A DWI MARSITA ANGGRAENI ◽  
KOMANG DHARMAWAN ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Risk Management ◽  
Surface Temperature ◽  
Insurance Premium ◽  
Analysis Method ◽  
Agricultural Insurance ◽  
Temperature Index ◽  
Premium Payment ◽  
Long Run ◽  
Related Risk ◽  
Climate Parameter

Temperature is an important factor in the production of agricultural commodities. For this reason, goverments needs to protect farmers in order to continue their farming. Climate-based agricultural insurance is an alternative to climate-related risk management. Insurance premium is given when the temperature index lower than the pre determined trigger index. The purpose of this study is to determine the stages and assumptions in determining the value of agricultural insurance premiums based on surface temperature index on cocoa commodities using the method of burn analysis. The temperature index was determined using the burn analysis method with the temperature as the climate parameter. Trigger values ??are determined based on long run times. In this paper, the result is that when the temperature index lower than the determined trigger value, trigger payments as much as Rp.10.931.960,40 / Ha based on trigger index as many 26.145 ° C, so amount of premium payment equals Rp 215.776.

ANALISIS SENSITIVITAS BEBERAPA WILAYAH DI PAPUA BARAT TERHADAP FENOMENA ENSO

2014 ◽  
Vol 13 (3) ◽  
Author(s):  
Aries Astradhani Subgan
Keyword(s):  
Wavelet Transformation ◽  
Standardized Precipitation Index ◽  
Research Area ◽  
Rain Drop ◽  
Rain Fall ◽  
Papua Barat ◽  
One Year ◽  
Climate Parameter ◽  
The Standardized Precipitation Index ◽  
Enso Index

Inter-annual climate variability (ENSO) become major issues for sciences for nowadays because the effect of globally.  The purpose of this research is to know the characteristic of the climate on West Papua Region that can investigate and to know variable of the responds to every area of the ENSO phenomena. This is use for the climate parameter for rainfall and sea surface temperature (SST). Technic analysis begins to see periodicities rainfall using wavelet transformation. Next, analysis percentage of rainfall on the phases of ENSO Cases to see how big the influence of ENSO to the Increasing and Decreasing of rainfall in every region. Next step is to use statistic technical to see the connection between rain drop variable into the Standardized Precipitation Index (SPI)<strong><em> </em></strong>to the ENSO index. The result of wavelet analysis to the rainfall showed the domination of periodicities in one year, this indicated that the research area is effected by monsoon and local factors. The result of rain fall percentage and linier correlation analysis of ENSO index to the SPI in each territorial in general showed the ENSO influence. This can be shown by negative correlation score that means, when there is an EL NINO (La Nina) in Pacific Ocean at the same time there is a decreasing or increasing of rainfall in research territorial. The variation in each location responds showed the ENSO effect doesn’t have to influence directly to the rain fall in the research zone

scholarly journals Dominance of climate warming effects on recent drying trends over wet monsoon regions

2017 ◽  
Vol 17 (17) ◽  
pp. 10467-10476 ◽  
Author(s):  
Chang-Eui Park ◽  
Su-Jong Jeong ◽  
Chang-Hoi Ho ◽  
Hoonyoung Park ◽  
Shilong Piao ◽  
...  
Keyword(s):  
Arid Regions ◽  
Potential Evapotranspiration ◽  
Surface Air Temperature ◽  
Aridity Index ◽  
Monsoon Region ◽  
Eastern Asia ◽  
Weather Stations ◽  
Climate Parameter ◽  
Socioeconomic Consequences ◽  
Water Holding

Abstract. Understanding changes in background dryness over land is key information for adapting to climate change because of its critical socioeconomic consequences. However, causes of continental dryness changes remain uncertain because various climate parameters control dryness. Here, we verify dominant climate variables determining dryness trends over continental eastern Asia, which is characterized by diverse hydroclimate regimes ranging from arid to humid, by quantifying the relative effects of changes in precipitation, solar radiation, wind speed, surface air temperature, and relative humidity on trends in the aridity index based on observed data from 189 weather stations for the period of 1961–2010. Before the early 1980s (1961–1983), change in precipitation is a primary condition for determining aridity trends. In the later period (1984–2010), the dominant climate parameter for aridity trends varies according to the hydroclimate regime. Drying trends in arid regions are mostly explained by reduced precipitation. In contrast, the increase in potential evapotranspiration due to increased atmospheric water-holding capacity, a secondary impact of warming, works to increase aridity over the humid monsoon region despite an enhanced water supply and relatively less warming. Our results show significant drying effects of warming over the humid monsoon region in recent decades; this also supports the drying trends over warm and water-sufficient regions in future climate.

scholarly journals Monitoring and Analyzing of the Relationship between Climatic Elements and Skin Cancer in the Years 2012-2014

2021 ◽  
Author(s):  
Mostafa Dastorani ◽  
Vahid Safarianzengir ◽  
Bromand Salahi
Keyword(s):  
Skin Cancer ◽  
Linear Interpolation ◽  
Statistical Correlation ◽  
Absolute Temperature ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Climatic Parameter ◽  
Correlation Relationship ◽  
Climate Parameter ◽  
The Relationship

Introduction: The present study investigated one of these types of disease (skin cancer) and its relationship with climatic parameters. The aim of this study was to investigate the relationship between climate change and skin cancer in Ardabil province. Materials and Methods: This descriptive correlational study was conducted to investigate the effect of six climatic parameters (frost, sunny hours, minimum mean humidity, maximum absolute temperature, minimum absolute temperature, and mean temperature) on skin cancer in Ardabil province in a 3-year statistical period (2012-2014). The data were analyzed using the Spearman correlation relationship in SPSS version 24 software, also Minitab version 16 software was used for linear interpolation. Results: According to the findings, the highest correlation (more than 95%) of skin cancer in three cities of Parsabad, Khalkhal, and Ardabil with the climatic parameter was related to minimum absolute temperature. However, in Khalkhal station in three years of study, sunny hours had the highest correlation and the lowest correlation was related to glacial climate parameter in all four cities. It can be said that the factors of sunny hours and maximum temperature have an effect on the incidence of skin cancer, and the minimum absolute temperature increases the exacerbation of this type of disease. Conclusion: According to the results of statistical correlation and the effects of climatic parameters on skin cancer, it can be concluded that climate parameters are one of the effective factors in skin cancer.

scholarly journals Prediksi Curah Hujan Bulanan Di Wilayah Lombok Barat Menggunakan Principal Component Regression (PCR)

2020 ◽  
Vol 8 (2) ◽  
pp. 175-182
Author(s):  
Anggitya Pratiwi ◽  
◽  
Rian Mahendra Taruna ◽  
Suci Agustiarini ◽  
Dewo Sulistio Adi Wibowo ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Principal Component Regression ◽  
Principal Component ◽  
Temperature Data ◽  
Sea Surface ◽  
Observation Data ◽  
Rainfall Prediction ◽  
Principal Component Analysis Result ◽  
Climate Parameter

Rainfall is a significant climate parameter in various sectoral of human activities. Despite that, precise rainfall prediction is necessary. One factor which can affect the rainfall is Sea Surface Temperature. We used Sea Surface Temperature data in Indonesia limited by 14° LS - 10° LU and 90° BT - 142° BT to predict monthly rainfall in West Lombok. The method used in this study is Principal Component Regression. Regression is calculated using 1998-2013 data, with Principal Component Analysis result of Indonesian Sea Surface Temperature as the predictor. Validation using contingency table for 2014-2018 rainfall characteristic data in West Lombok showed that rainfall prediction is appropriate with the rainfall pattern observation data.

scholarly journals Spatial-temporal event detection in climate parameter imagery.

2011 ◽  
Author(s):  
Sean Andrew McKenna ◽  
Karen A. Gutierrez
Keyword(s):  
Event Detection ◽  
Climate Parameter

scholarly journals STUDI PULAU PANAS PERKOTAAN DAN KAITANNYA DENGAN PERUBAHAN PARAMETER IKLIM SUHU DAN CURAH HUJAN MENGGUNAKAN CITRA SATELIT LANDSAT TM STUDI KASUS DKI JAKARTA DAN SEKITARNYA

2012 ◽  
Vol 13 (1) ◽  
pp. 19 ◽  
Author(s):  
Halda Aditya Belgaman ◽  
Sri Lestari ◽  
Hilda Lestiana
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Air Temperature ◽  
Urban Areas ◽  
Satellite Image ◽  
Heat Island ◽  
Surrounding Area ◽  
Urban Heat ◽  
Climate Parameter ◽  
Landsat Satellite

Pulau panas adalah suatu fenomena dimana suhu udara di suatu daerah lebih tinggi daripada suhu udara terbuka di sekitarnya. Daerah urban (perkotaan) sering mempunyai suhu lebih tinggi 1-6 derajat Celsius dibandingkan daerah sekitarnya (daerah pinggiran/ rural). Fenomena inilah yang dikenal sebagai ”Pulau Panas perkotaan” atau ”Urban Heat Island” (UHI). Penelitian ini bertujuan untuk mengetahui pengaruh fenomena pulau panas perkotaan terhadap parameter iklim terutama suhu dan curah hujan di daerahJakarta dan sekitarnya. Data yang digunakan pada tugas akhir ini adalah data curah hujan dan temperatur udara harian pada 5 stasiun pengamatan iklim, periode Januari 1991 – Desember 2001 sebagai data permukaan. Citra satelit Landsat 7 ETM+ path / row 122/064 akuisisi tanggal 15/07/2001 band 5,4,2 digunakan untuk menganalisis tutupan lahan dan band 6 digunakan untuk distribusi temperatur permukaan. Hasil menunjukkan nilai temperatur permukaan Kota Jakarta dan sekitarnya berada antara 15.07˚C hingga 33.28˚C. Lokasi pulau panas perkotaan terdapat di daerah Jakarta pusat dan Jakarta utara, dengan perbedaan temperatur sebesar 3˚C dibandingkan dengan daerah sekitarnya.Tutupan lahan yang terdapat di lokasi tersebut merupakan lahan terbangun yang terdiri dari bangunan perumahan, perkantoran, dan jalan raya. Perhitungan nilai korelasi Spearman antara data temperatur udara dari lima stasiun pengamatan dengan nilai piksel temperatur permukaan memperlihatkan adanya korelasi positif antara dua variabel tersebut yang ditunjukkan oleh indeks korelasi sebesar 0.6.Dengan persamaan regresi diperoleh citra temperatur permukaan di seluruh daerah pengamatan yang hasilnya menggambarkan bahwa lokasi pulau panas perkotaan sangat berpengaruh terhadap distribusi temperatur udara di atasnya.Heat island was a phenomenon where the temperature of air in one region higher than the temperature of the open air around it. Urban areas often had the temperature higher 1-6 Celsius when compared the area of surrounding area (the area of outskirts/rural). This phenomenon that was known as ”Pulau Panas Perkotaan” or ”Urban Heat Island” (UHI). This Research aimed to knowing influence of the heat islands of urban areas to climate parameter especially the temperature and the rainfall in the Jakarta and surrounding area. Data used in this research was rainfall data and daily air temperaturefrom 5 climate observation stations, within time period from January 1991 to December 2001 as the surface data. The Landsat satellite image 7 ETM+ path/row 122/064 acquisition date 15/07/2001, band 5, 4, 2 was used to analyze the cover of land and the band 6 was used for the distribution of surface temperature was based on the pixels value.Results showed the value of surface temperature in Jakarta and surrounding area was between 15.07˚C through to 33.28˚C. Location of heat island were in the centre Jakarta and north Jakarta, with the difference of the temperature as big as 3˚C with thesurrounding area. The land cover in this location were the housing building, the office complex, and the highway. Calculation of Spearman correlation value between the air temperature and surface temperature showed the existence of the positive correlation between two variables that it was demonstrated by the correlation index 0.6. From the regression equation we get the interpolated air temperature in Jakarta area.

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