scholarly journals Detailed Köppen-Geiger climate regions of TurkeyTürkiye’nin detaylandırılmış Köppen-Geiger iklim bölgeleri

2018 ◽  
Vol 15 (1) ◽  
pp. 225 ◽  
Author(s):  
Erkan Yılmaz ◽  
İhsan Çiçek
Keyword(s):  
Environmental Conditions ◽  
High Mountain ◽  
Total Precipitation ◽  
Precipitation Data ◽  
Climate Classification ◽  
Data Set ◽  
Climate Zones ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature

Turkey is situated in the temperate zone as the macro climate zone. The fact that it remains under the influence of different air masses in every season due to its mathematical position causes differences are experienced in terms of the climate types. Besides its mathematical position, its special position also causes this influence grows stronger and the differences become clear much more. The fact that it is surrounded with seas from three sides, there are high mountain ranges in its northern and southern, its altitude increases from the west to the east, the roughness is high due to the tectonic effects and river erosion cause different climate types are dominant. The distribution of the dispersion areas of these climate types can be made by means of various climate classifications. Köppen-Geiger climate classification is a classification which is used at most in the world and which is used in the comparison of the past environmental conditions and the current environmental conditions and in the comparison of the future climate differences with our present day. Even if the dispersion areas of the climate types are shown according to Köppen-Geiger climate classification by different researchers at global scale, these classifications cannot reflect the diversity in Turkey in the exact manner due to the lack of data and scale problem. In this study, the monthly average temperature and monthly average total precipitation data of 249 meteorological station associated to the General Directorate of Meteorology and the global monthly average temperature and monthly average total precipitation data of the model printouts having 30-minute (approximately 1 km) resolution were used for the purpose of revealing the climate types which are dominant in Turkey according to Köppen-Geiger climate classification. Two different Köppen-Geiger climate types distribution maps were created depending on these two different data set. According to Köppen-Geiger climate classification, it was revealed that there are 13 different Köppen-Geiger climate zones in Turkey. According to this classification, the Mediterranean coasts were revealed to be in the "temperate-dry-hot summer climate- Csa" class, Konya Region and the southern of the Southeast Anatolia was revealed to be of the "dry-hot and cold steppe climate - Bsh-k" type and ET, that's tundra areas were designated in the Northeast Anatolia and Ararat Mountain. Köppen-Geiger climate zones of Turkey which were produced at low resolution in the previous studies were detailed much more in this study.Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetTürkiye, makro iklim bölgesi olarak ılıman kuşakta yer almaktadır. Matematik konumu nedeniyle her mevsimde farklı hava kütlelerinin etkisi altında kalması iklim tipleri bakımından farklılıkların yaşanmasına neden olmaktadır. Matematik konumu yanında özel konumu da bu etkinin kuvvetlenmesine ve farklıkların daha da belirginleşmesine neden olur. Üç tarafının denizlerde çevrili olması, kuzey ve güneyinde yüksek dağ sıralarının bulunması, yükseltisinin batıdan doğuya doğru artması, tektonik etkiler ve akarsu aşındırması nedeniyle engebenin fazla olması kısa mesafelerde farklı iklim tiplerinin hüküm sürmesine neden olmaktadır. Bu iklim tiplerinin yayılış alanlarının dağılışı, çeşitli iklim sınıflandırmaları ile yapılabilmektedir. Köppen-Geiger iklim tasnifi, dünyada en fazla kullanılan, geçmiş ortam şartları ile günümüz ortam şartlarının karşılaştırılmasında ve gelecekteki iklim farklılıklarının günümüzle karşılaştırılmasında kullanılan bir sınıflandırmadır. Küresel ölçekte farklı araştırmacılar tarafından Köppen-Geiger iklim sınıflandırmasına göre iklim tiplerinin yayılış alanları gösterilse bile bu sınıflandırmalar veri yetersizliği ve ölçek problemi nedeniyle Türkiye’deki çeşitliliği tam yansıtamamaktadır. Bu çalışmada Köppen-Geiger iklim sınıflandırmasına göre Türkiye’de hüküm süren ikim tiplerini ortaya koymak amacıyla Meteoroloji Genel Müdürlüğü’ne ait 249 meteoroloji istasyonuna ait aylık ortalama sıcaklık ve aylık ortalama toplam yağış verileri ile 30 dakikalık (yaklaşık 1 km) çözünürlüğe sahip model çıktılarına ait küresel aylık ortalama sıcaklık ve aylık ortalama toplam yağış verileri kullanılmıştır. Bu iki farklı veri setine bağlı iki farklı Köppen-Geiger iklim tipleri dağılışı haritası oluşturulmuştur.  Köppen-Geiger iklim sınıflandırmasına göre Türkiye’de 13 farklı Köppen-Geiger iklim bölgesi olduğu ortaya konulmuştur. Bu sınıflandırmaya göre Akdeniz kıyıları “ılıman-kurak-sıcak yaza sahip iklim - Csa” sınıfında çıkarken, Konya Bölümü ve Güneydoğu Anadolu’nun güneyi “kurak-sıcak ve soğuk step iklim- Bsh-k” tipinde, Kuzeydoğu Anadolu’da ve Ağrı Dağı’nda ise ET yani tundra alanlar belirlenmiştir. Daha önceki çalışmalarda düşük çözünürlükte üretilen Türkiye Köppen-Geiger iklim bölgeleri bu çalışmada daha da ayrıntı kazanmıştır.

scholarly journals ANALYTICAL MATHEMATICAL MODELS OF THE POPULATION OF ARTHROPODS IN THE NON-BLACK EARTH ZONE

2021 ◽  
pp. 128-132
Author(s):  
Vasilevich ◽  
Nikanorova
Keyword(s):  
Mathematical Models ◽  
Atmospheric Pressure ◽  
Control Area ◽  
Ixodid Ticks ◽  
Mean Values ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Blood Sucking ◽  
Average Precipitation

The article provides an example of mathematical analytical modeling of the population size of blood-sucking arthropods on the example of mosquitoes and ixodid ticks that inhabit the Kaluga Region. The presented analytical mathematical models make it possible to clearly assess the influence of environmental factors on parasite populations. The following factors were taken into account: average temperature (monthly and yearly, t, oС); average precipitation (monthly and yearly, S, mm); mean atmospheric pressure (P, mm Hg) for mosquitoes, and monthly average temperature (t, o С), monthly mean relative humidity (Q, %), and mean atmospheric pressure (P, mm Hg) for ixodid ticks. The analysis of the obtained models shows that under weather conditions when monthly mean values of the considered factors are at a zero level, the estimated number of ixodid ticks and mosquitoes will be 1150 and 1529 individuals in the control area per year. The population of ixodid ticks is most significantly influenced by the mean atmospheric pressure; its influence is twice as strong as monthly mean humidity and 6.4 times stronger than the influence of monthly average temperature. The "+" sign indicates that the higher the atmospheric pressure is, the more active ticks are observed. Monthly average precipitation has the greatest effect on the mosquito population.

Climatic zoning for the building thermal design in China's rural areas

2021 ◽  
pp. 014362442110081
Author(s):  
Yao Chen ◽  
Zhiwei Wang ◽  
Peng Wei
Keyword(s):  
Energy Efficiency ◽  
Thermal Insulation ◽  
Rural Areas ◽  
Building Envelope ◽  
Thermal Design ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Degree Day ◽  
Climatic Zoning

Building climatic zoning is a prerequisite for implementing building energy efficiency technology, which can help code makers and architects have an accurate understanding of the local climatic conditions. It takes the extreme monthly average temperature as the zoning index in the existing climatic zoning of rural areas in China. There will be unreasonable design phenomena of insufficient or excessive thermal insulation for a building envelope in rural areas. Aiming at the above problems, this paper modifies the current zoning. This research established the cooling and heating degree-day indexes HDD14 and CDD30 based on the thermal comfort characteristics of rural occupants and used the threshold method to subdivide rural areas into eight sub-zones. The results show that the problem of insufficient or excessive thermal insulation in rural areas can be effectively solved by replacing the extreme monthly average temperature index with the degree day index and the annual cumulative building load can be reduced by 6.4% on average without increasing the insulation cost. After more detailed zoning, the variance within the group is reduced and it accurately describes climate diversity, which is conducive to implementing climate-responsive energy-saving design in each subzone. Practical application: The major purpose of this paper is to solve the problem of unreasonable climate zone boundaries specified in the existing Design Standard for Energy Efficiency of Rural Residential Buildings. The existing zoning has led to conflicts between the actual heating demand and the building envelope thermal parameter limits specified in the standard. This work redefines the boundaries of the existing map using more up-to-date weather data to provide the right guidance for architectural designers.

scholarly journals Time Series Modelling of Monthly average Temperature in Gaborone-Botswana

2019 ◽  
Vol 6 (2) ◽  
pp. 689-710
Author(s):  
Keorapetse Sediakgotla ◽  
Wilford Molefe ◽  
Dahud Kehinde Shangodoyin
Keyword(s):  
Time Series ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Time Series Modelling

scholarly journals Role of Climatic Conditions on the Incidence of Varicella in an Out-patient Clinic of a Tertiary Care Pediatric Hospital at Dhaka

2021 ◽  
Vol 10 (1-2) ◽  
pp. 11-17
Author(s):  
Mahfuza Hussain ◽  
Md Nurul Amin ◽  
Md Rafiqul Islam
Keyword(s):  
Relative Humidity ◽  
Seasonal Pattern ◽  
Climatic Data ◽  
Spring Season ◽  
Total Rainfall ◽  
Chicken Pox ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Two Peaks

Background & objective : Chicken pox or varicella is a disease of both tropical and temperate zones bearing a complex-relationship with climatic variables, like temperature, rainfall and relative humidity, wind velocity and so on. As no study has, by far, been conducted to relate its occurrence with these climatic variables in Bangladesh, this study was intended to explore the effect of weather conditions on the incidence of varicella in Dhaka city of Bangladesh. Methods: The present cross-sectional study obtained data of 172 varicella cases from the records of the daily register of Out-patient Department of Dhaka Shisu Hospital, Dhaka between January 2018 to December 2019. According to the study protocol a child was diagnosed as having varicella or chicken pox who had a history of short febrile illness accompanied by a pruritic vesicular eruption (on the face and trunk)) of the skin and mucous membranes which ultimate weeps out and crusts. Total number of cases treated monthly at Out-patient Department (OPD) during the period was also recorded. Climatic data were provided by Bangladesh Meteorological Department, which among others, included monthly average temperature, relative humidity (RH) and amount of rainfall or precipitation. While the outcome variable was monthly number of varicella cases, the predictive variables were average temperature, humidity and rainfall during the study period. Result: Over 70% of children were 1-10 years old with median age of the children being 5.5 years (range: < 1 month -14 years). Boys were a bit higher (54%) than the girls (46%). A seasonal pattern of chicken pox was seen with clustering of cases between mid-February to mid-April (spring season) with two peaks – one in February and another in April, when monthly average temperature, total rainfall and humidity all were at their optimum. The peak incidences of chicken pox cases during the spring both in 2018 and 2019 as correlated with climatic data of the same period, it is seen that the prevailing weather then was optimum-average temperature was 23°C, average precipitation was 20-25% of the total annual precipitation and relative humidity was around 65%. Conclusion: The study concluded that majority of the varicella cases occur under ten years of age and boys are a little more susceptible to have the infection than the girls. A seasonal pattern of chicken pox is clearly seen with clustering of cases between mid-February to mid-April (spring season) with two peaks when monthly average temperature, total rainfall and humidity all are optimally favorable for the multiplication of varicella zoster virus. Ibrahim Card Med J 2020; 10 (1&2): 11-17

scholarly journals Monthly Average Temperature Modeling in an Intertropical Region

2013 ◽  
Vol 28 (5) ◽  
pp. 1099-1115 ◽  
Author(s):  
Mercedes Andrade-Bejarano
Keyword(s):  
Time Series ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Seasonal Pattern ◽  
Geographical Location ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Valle Del Cauca

Abstract Data for this research come from time series of monthly average temperatures from 28 sites over the Valle del Cauca of Colombia in South America, collected over the period 1971–2002. Because of the geographical location of the study area, monthly average temperature is affected by altitude and El Niño–La Niña (El Niño–Southern Oscillation, or ENSO phenomenon). Time series for some of the sites show a tendency to increase. Also, because of the two dry and wet periods in the study area, a seasonal pattern of behavior in monthly average temperature is seen. Linear mixed models are formulated and fitted to account for within- and between-site variations. The ENSO phenomenon is modeled by the Southern Oscillation index (SOI) and dummy variables. Spatial and temporal covariance structures in the errors are modeled individually using isotropic variogram models. The fitted models demonstrate the influence of the ENSO phenomenon on monthly average temperatures; this is seen in the maps produced from the models for ENSO and normal conditions. These maps show the predicted spatial patterns for differences in temperature throughout the study area.

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