scholarly journals Climatic Variables of 50 Years and their Trends over Rajshahi and Rangpur Division

2012 ◽  
Vol 4 (2) ◽  
pp. 147-150 ◽  
Author(s):  
MG Ferdous ◽  
MA Baten
Keyword(s):  
Relative Humidity ◽  
Climatic Variability ◽  
Climatic Data ◽  
Climate Factors ◽  
Annual Average ◽  
Average Temperature ◽  
Average Rainfall ◽  
Average Relative Humidity ◽  
Increasing Trends ◽  
Annual Average Temperature

An agro-climatic study was conducted at three regions of Rajshahi division with 50 (1961-2010) years of climatic data (temperature, rainfall, relative humidity and sunshine) to observe the climatic variability. The annual average temperature was showed decreasing trends over Rajshahi, Rangpur and Dinajpur regions by 0.0134, 0.0262 and 0.01180C/year. Annual average rainfall showed increasing trends over Rangpur and Dinajpur region by 14.971, 18.673mm/year and decreasing trends over Rajshahi region by 3.0698mm/year. Average relative humidity was showed increasing trends over Rajshahi, and Dinajpur region by 0.0261, and 0.0269%/year. Over Rangpur region, the decreasing trend was observed by 0.0599%/year. Decreasing trends of sunshine were observed for all regions. Distributions of regional average of climate factors in the study area were observed TRangpur> TRajshahi> TDinajpur, RRangpur> RDinajpur> RRajshahi, RHRangpur> RHDinajpur> RHRajshahi and SDinajpur> SRajshahi> SRangpur for temperature, rainfall, relative humidity and sunshine, respectively.DOI: http://dx.doi.org/10.3329/jesnr.v4i2.10165J. Environ. Sci. & Natural Resources, 4(2): 147-150, 2011

scholarly journals Climate trends and climate change scenarios in Ho Chi Minh City

2022 ◽  
Vol 964 (1) ◽  
pp. 012009
Author(s):  
Anh Ngoc Le ◽  
Thi Nguyen Vo ◽  
Van Hong Nguyen ◽  
Dang Mau Nguyen
Keyword(s):  
Climate Change ◽  
Ho Chi Minh City ◽  
Linear Regression Method ◽  
Climate Change Scenarios ◽  
Base Period ◽  
Climate Trends ◽  
Annual Average ◽  
Average Temperature ◽  
Average Rainfall ◽  
Annual Average Temperature

Abstract This paper reviews the trends of climate and climate change scenarios in Ho Chi Minh City (HCMC). The linear regression method is used to determine the trend and variation of past climate (1980-2019) at Tan Son Hoa station. The annual average temperature tends to increase about 0.024°C/year (r2=0.54) and the rainfall tends to increase about 6.03 mm/year (r2=0.67). For temperature scenario, by 2030 the annual average temperature in the whole city will increase from 0.80- 0.81°C (RCP4.5) and 0.92-0.98°C (RCP8.5). By 2050, it will increase 1.23-1.33°C (RCP4.5) and 1.55-1.68°C (RCP8.5). By 2100, it will increase 1.75-1.88°C (RCP4.5) and 3.20-3.55°C (RCP8.5) compared to the base period. Regarding rainfall scenario, in 2030, the city-wide average rainfall will increase by 12-21% (RCP4.5) and by 12-17% (RCP8.5). By 2050, the average rainfall is likely to increase by 13-15% (RCP4.5) and 15-17% (RCP8.5). By 2100, the average rainfall is likely to increase by 18-22% (RCP4.5) and 20-21% (RCP8.5) compared to the base period.

scholarly journals Spatiotemporal Distribution of Hand, Foot, and Mouth Disease in Guangdong Province, China and Potential Predictors, 2009–2012

2019 ◽  
Vol 16 (7) ◽  
pp. 1191 ◽  
Author(s):  
Yijing Wang ◽  
Yingsi Lai ◽  
Zhicheng Du ◽  
Wangjian Zhang ◽  
Chenyang Feng ◽  
...  
Keyword(s):  
Relative Risk ◽  
Relative Humidity ◽  
Disease Control ◽  
Foot And Mouth Disease ◽  
Guangdong Province ◽  
Average Temperature ◽  
Monthly Average ◽  
Average Rainfall ◽  
Control And Prevention ◽  
Average Relative Humidity

Background: Hand, foot, and mouth disease (HFMD) is a common infectious disease among children. Guangdong Province is one of the most severely affected provinces in south China. This study aims to identify the spatiotemporal distribution characteristics and potential predictors of HFMD in Guangdong Province and provide a theoretical basis for the disease control and prevention. Methods: Case-based HFMD surveillance data from 2009 to 2012 was obtained from the China Center for Disease Control and Prevention (China CDC). The Bayesian spatiotemporal model was used to evaluate the spatiotemporal variations of HFMD and identify the potential association with meteorological and socioeconomic factors. Results: Spatially, areas with higher relative risk (RR) of HFMD tended to be clustered around the Pearl River Delta region (the mid-east of the province). Temporally, we observed that the risk of HFMD peaked from April to July and October to December each year and detected an upward trend between 2009 and 2012. There was positive nonlinear enhancement between spatial and temporal effects, and the distribution of relative risk in space was not fixed, which had an irregular fluctuating trend in each month. The risk of HFMD was significantly associated with monthly average relative humidity (RR: 1.015, 95% CI: 1.006–1.024), monthly average temperature (RR: 1.045, 95% CI: 1.021–1.069), and monthly average rainfall (RR: 1.004, 95% CI: 1.001–1.008), but not significantly associated with average GDP. Conclusions: The risk of HFMD in Guangdong showed significant spatiotemporal heterogeneity. There was spatiotemporal interaction in the relative risk of HFMD. Adding a spatiotemporal interaction term could well explain the change of spatial effect with time, thus increasing the goodness of fit of the model. Meteorological factors, such as monthly average relative humidity, monthly average temperature, and monthly average rainfall, might be the driving factors of HFMD.

scholarly journals Researches Regarding on the Impruvement and Efficiency of Minimal Soil Works System in Soybean Crop, Specific to Different Pedoclimatic Conditions, in Turda Area

2018 ◽  
Vol 75 (2) ◽  
pp. 63-70
Author(s):  
Felicia CHEŢAN ◽  
Cornel CHEŢAN ◽  
Alina ŞIMON ◽  
Valeria DEAC ◽  
Marius BĂRDAŞ
Keyword(s):  
Climatic Conditions ◽  
Conventional System ◽  
Annual Average ◽  
Minimum Tillage ◽  
Average Temperature ◽  
Average Rainfall ◽  
Tillage System ◽  
Annual Average Temperature ◽  
Minimum System ◽  
Fertilization System

The paper presents the influence of the conventional and minimum tillage system, the fertilization system and the agricultural year (expressed by different climatic conditions) on the production and economic efficiencyof the soybean culture. The experience poly-factorial, was placed on the type of soil Phaeozem (clay, iluvial) in the Transylvanian Plain (with multi-annual average temperature of 9.1°C and multi-annual average rainfall of531.0 mm). The soybean culture responded favorably to the minimal tillage technology, the production being veryclose to that obtained in the conventional system. The application of the “minimum tillage” system to the soybeanculture requires a fuel consumption of 63.1 l/ha at the price of 328.12 lei/ha compared to the classic technology atwhich 78.6 l/ha is consumed at the price of 412.36 lei/ha, is 84.24 lei/ha in favor of the minimum system.

scholarly journals Characteristics of Climate Change in the Lancang-Mekong Sub-Region

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 115 ◽  
Author(s):  
Han Li ◽  
Wei Song
Keyword(s):  
Climate Change ◽  
Wavelet Analysis ◽  
Linear Trend ◽  
Kendall Test ◽  
Annual Precipitation ◽  
Climatic Data ◽  
Annual Average ◽  
Average Temperature ◽  
Mean Temperature ◽  
Annual Average Temperature

The Lancang-Mekong River is an important international river in Southeastern Asia. In recent years, due to climate change, natural disasters, such as drought and flooding, have frequently occurred in the region, which has a negative effect on the sustainable development of the social economy. Due to the lack of meteorological monitoring data in the six countries across the region, the study of the characteristics of climate change in this area is still scarce. In this paper, we analyze the characteristics of climate change in the Lancang-Mekong sub-region (LMSR) during 2020–2100 based on the climatic data of CMIP5, using the linear trend rate method, cumulative anomaly method, the Mann–Kendall test, and Morlet wavelet analysis. The results showed that the annual mean temperature and annual precipitation in the LMSR increased significantly. The annual average temperature in this area increased at a rate of 0.219 °C/10a (p < 0.05) and 0.578 °C/10a (p < 0.05) in the RCP4.5 and RCP8.5 scenarios, respectively; the annual precipitation in the area was 29.474 mm/10a (p < 0.05) and 50.733 mm/10a (p < 0.05), respectively. The annual average temperature in the region changed abruptly from low to high temperatures in 2059 for the RCP4.5 scenario and 2063 for RCP8.5. The annual precipitation in the area changed from less to more in 2051 for the RCP4.5 scenario and 2057 for RCP8.5. The results of wavelet analysis showed that the annual mean temperature in the LMSR had no significant change period at the 95% confidence level under the scenario of RCP4.5 and RCP8.5. Under the scenario of RCP4.5 and RCP8.5, the annual precipitation had a significant 3.5-year and 2.5-year periodicity, respectively. Extreme climate events tended to increase against the background of global warming, especially in high emission scenarios.

scholarly journals Effect of Seasonal Characteristics of Temperature and Relative Humidity on Chloride Diffusion Process in Concrete: A Preliminary Theoretical Study

2019 ◽  
Vol 11 (22) ◽  
pp. 6330
Author(s):  
Pan ◽  
Li ◽  
Ruan
Keyword(s):  
Relative Humidity ◽  
Theoretical Study ◽  
Analytical Models ◽  
Chloride Diffusion ◽  
Correction Coefficient ◽  
Annual Average ◽  
Average Temperature ◽  
Seasonal Characteristics ◽  
Chloride Profiles ◽  
Annual Average Temperature

The chloride diffusion process can be greatly affected by the temperature and relative humidity. Annual average temperature and relative humidity are often adopted in analytical models to calculate chloride profiles. These models, however, cannot consider the seasonal characteristics of temperature and relative humidity. This paper presents a theoretical study to solve the above problem. The temperature and relative humidity in several major cities in China are first collected. Then, the governing equation of one-dimensional chloride diffusion is solved by both analytical and numerical methods using the annual and monthly average temperature and relative humidity, respectively. Based on these two methods, a parameter called “seasonal correction coefficient” is introduced into the analytical models. The values of the coefficient for major cities in China are obtained. Based on the results, it is found that: (1) the analytical solution with annual average temperature and relative humidity is questionable to calculate chloride profiles for typical cities, (2) the seasonal correction coefficient is independent on the apparent chloride diffusivity, affected slightly by the activation energy of chloride ions during diffusion and greatly by the critical relative humidity for common water-to-cement ratios of ordinary Portland cement (OPC) mortar and concrete.

Comparative analysis of average temperature trends in Jalisco, Mexico, based on original and homogenized series to estimate signs of Climate Change

2019 ◽  
pp. 1-10
Author(s):  
Valentina Davydova-Belitskaya ◽  
Andrea Liliana Godínez-Carvente ◽  
René Navarro-Rodríguez ◽  
Martha Georgina Orozco-Medina
Keyword(s):  
Climate Change ◽  
Quality Control ◽  
High Resolution ◽  
National Level ◽  
Spatial Behavior ◽  
Data Sets ◽  
Climatic Data ◽  
Annual Average ◽  
Average Temperature ◽  
Annual Average Temperature

In recent decades, great attempts have been made to create high-quality climatic data sets and spatial resolution on a continental and national scale, as well as the analysis of their variability and change in daily extremes. However, in Mexico there is still no high-resolution database at a national level that complies with quality control, including the review of homogeneity of long series. This paper shows the results of variability analysis and the detection of climate change signs in the state of Jalisco, performed in a high-resolution database developed for the maximum, minimum and average temperature according to the quality control procedures of climatic records. From these two sets, the spatial behavior of annual average temperature estimated for three climatic periods was analyzed. Among the results obtained with stations which have complied with quality control, the presence of annual average temperature increases at 0.31°C in 1971-2000, 0.61°C in 1981-2010 and a very intense increase, 0.81°C for the period 1991-2010. Likewise, it was observed that the Jalisco coasts show an increase of 0.2 to 0.4°C, while the continental region registers an increase up to 0.8°C.

scholarly journals Microhabitat preferences of six Drosera (Droseraceae) from Tibagi river basin, Paraná state, Brazil

2004 ◽  
Vol 47 (4) ◽  
pp. 495-501 ◽  
Author(s):  
Dennis Panayotis Saridakis ◽  
José Marcelo Domingues Torezan ◽  
Galdino Andrade
Keyword(s):  
River Basin ◽  
Probability Level ◽  
Annual Average ◽  
Average Temperature ◽  
Natural Grasslands ◽  
Average Relative Humidity ◽  
Perennial Herbs ◽  
Microhabitat Preferences ◽  
Conservation Plans ◽  
Annual Average Temperature

We studied the microhabitats and the climatic requirements of six Drosera taxa, which occur in the subtropical grasslands of the Tibagi river basin. They are annual,or most communly, perennial herbs known as carnivorous plants, whose leaves are transformed into traps for the capture and digestion of small insects as an adaptation for supplying nutricional deficiencies. They usually occur in distrophic substrata. In order to contribute to conservation plans for the species of the genus, threatened by the conversion of the natural grasslands into pastures, we tried to define their preferential habitats and climatic requirements. We verified that the variables of microhabitat and altitude presented significant correlation at 5% probability level, while the variables in annual average relative humidity, annual average temperature and type of substratum types did not show significant correlation.

Variations of Temperature in Hefei City in Recent 50 Years

2012 ◽  
Vol 616-618 ◽  
pp. 1496-1499
Author(s):  
Guo Wei Xu ◽  
Xin Tian Yuan ◽  
Shu Ling Huang ◽  
Yang Gao
Keyword(s):  
Statistical Analysis ◽  
Temperature Increase ◽  
Summer Temperature ◽  
Observation Data ◽  
Annual Average ◽  
Average Temperature ◽  
Four Seasons ◽  
Temperature Observation ◽  
Significant Temperature ◽  
Annual Average Temperature

Selecting 50 years temperature observation data from1959 to 2008 and using statistical analysis, this paper revealed the characteristics of temperature variation in Hefei city. The results show that in past 50 years, the annual average temperature in Hefei city greatly increased, tendency rate of temperature change was 0.246°C/10 a, especially after 1993, the temperature increased significantly; the temperature in four seasons all increased somewhat, warming was most prominent in spring. The most significant temperature increase was in spring, winter following behind, temperature increase in autumn was not obvious, and the average summer temperature increased the most unobvious.

scholarly journals Karakteristik Pengeringan Biji Jagung (Zea Mays L.) Menggunakan Alat Pengering Surya Adriyarkara Termodifikasi

2018 ◽  
Vol 3 (2) ◽  
pp. 351-360
Author(s):  
Athul Fadhli ◽  
Diswandi Nurba ◽  
Raida Agustina
Keyword(s):  
Zea Mays ◽  
Relative Humidity ◽  
Moisture Content ◽  
Zea Mays L ◽  
Initial Moisture Content ◽  
Solar Irradiation ◽  
Air Velocity ◽  
Drying Time ◽  
Average Temperature ◽  
Average Relative Humidity

Abstrak. Jagung merupakan tanaman penghasil karbohidrat terpenting. Pengeringan jagung pipil menggunakan alat pengering merupakan proses untuk menghasilkan jagung pipil yang siap diolah untuk pembuatan tepung jagung dengan batas kadar air tertentu sehingga menghaslkan jagung pipil dengan kualitas yang baik. Tujuan penelitian ini adalah untuk mengkaji karakteristik pengeringan biji jagung menggunakan alat pengering surya Termodifikasi. Metode penelitian  menggunakan 3,15 kilogram jagung pipil dengan kadar air awal 22% untuk proses pengeringan. Parameter yang dianalisis terkait alat pengering kolektor surya yaitu temperatur, kelembaban relatif, kecepatan udara dan iradiasi surya, sedangkan parameter yang dianalisis terkait bahan yaitu kadar air, lama waktu pengeringan, laju pengeringan dan organoleptik. Prosedur penelitian terdiri dari pengujian kosong dan pengujian dengan menggunakan jagung pipil. Hasil penelitian menunjukkan bahwa temperatur rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 44,4oC, temperatur rata-rata setelah dilakukan modifikasi yaitu 55,5oC dan temperatur rata-rata rak pengering pada pengeringan menggunakan jagung pipil yaitu 46,96oC. Kelembaban relatif rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 40,1%, kelembaban relatif rata-rata dalam rak pengering setelah modifikasi yaitu 35,1% dan kelembaban relatif rata-rata pengeringan menggunakan jagung pipil yaitu 44,45%. Dari hasil pengukuran tersebut menunjukkan bahwa nilai temperatur dan kelembaban pada alat setelah modifikasi lebih baik dibandingkan sebelum alat dimodifikasi. Pengukuran temperatur dan kelembaban relatif terdiri dari 4 titik pengukuran yaitu rak 1A,1B dan rak 2A, 2B. Kecepatan udara rata-rata yang diukur konstan yaitu 0,7 m/s pada ruang pengering, sedangkan lingkungan 1,1 m/s. Total iradiasi surya selama pengeringan yaitu 1848,84 W/m2. Kadar air jagung pipil masing-masing rak yaitu rak 1A 14,29%, rak 1B 14,47%, rak 2A 13,91% dan rak 2B 14,1%. Hasil dari pengujian organoleptik, panelis agak menyukai jagung pipil yang dikeringkan menggunakan alat pengering tersebut.Characteristics of Seed Drying (Zea mays L.) Using a Modified Adriyarkara Solar DryerAbstract. Corn is the most important carbohydrate plant. Drying corn using a drying tool is a process to produce corn that are ready to be processed for making corn flour with a certain water content limit so as to produce corn with good quality. The purpose of this study was to examine the characteristics of drying of corn kernels using a modified solar dryer. The research method used 3,15 kilogram of corn milled with the initial moisture content of 22% for drying process. The parameters analyzed in relation to solar collector dryers are temperature, relative humidity, air velocity and solar irradiation, while the parameters analyzed are materials such as moisture content, drying time, drying rate and organoleptic. The research procedure consists of unloaded testing and testing using corn. The results showed that the average temperature in the dryer tray before modification was 44,4°C, the average temperature after modification was 55,5°C and the average temperature of the dryer tray on drying using corn was 46,96oC. The average relative humidity in the dryer tray before modification is 40,1%, the average relative humidity in the dryer tray after modification is 35,1% and the average relative humidity of drying using corn is 44,45%. From the measurement results show that the value of temperature and humidity in the tool after modification is better than before. Measurement of temperature and relative humidity consist of 4 point of measurement that is tray 1A, 1B and tray 2A, 2B. Average mean air velocity measured is 0,7 m/s at the dryer room, while the environment is 1,1 m/s. Total solar irradiation during drying is 1848,84 W/m2. Moisture level of corn each shelves tray 1A is 14,29%, tray 1B is 14.47%, tray 2A is 13,91% and tray 2B is 14,1%. As a result of organoleptic testing, panelists rather like dried corn using the dryer.

scholarly journals Numerical simulation of formation and preservation of Ningwu ice cave, Shanxi, China

2015 ◽  
Vol 9 (2) ◽  
pp. 2367-2395 ◽  
Author(s):  
S. Yang ◽  
Y. Shi
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Process ◽  
Shanxi Province ◽  
Mechanism Of Formation ◽  
Annual Average ◽  
Average Temperature ◽  
Control Factors ◽  
Tourism Resource ◽  
Ice Water ◽  
Annual Average Temperature

Abstract. Ice caves exist in locations where annual average temperature in higher than 0 °C. An example is Ningwu ice cave, Shanxi Province, the largest ice cave in China. In order to quantitatively explain the mechanism of formation and preservation of the ice cave, we use Finite Element Method to simulate the heat transfer process at this ice cave. There are two major control factors. First, there is the seasonal asymmetric heat transfer. Heat is transferred into the ice cave from outside, very inefficiently by conduction in spring, summer and fall. In winter, thermal convection occurs that transfers heat very efficiently out of the ice cave, thus cooling it down. Secondly, ice–water phase change provides a heat barrier for heat transfer into the cave in summer. The calculation also helps to evaluate effects of global warming, tourists, etc. for sustainable development of ice cave as tourism resource. In some other ice caves in China, managers installed air-tight doors at these ice caves entrance intending to "protect" these caves, but this prevent cooling down these caves in winters and these cave ices will entirely melt within tens of years.

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