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

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.

Climatic curves as predictors in MaxEnt niche modeling

Environmental niche modelling (ENM) uses different types of variables to predict species occurrence. In widespread use are variables derived from climatic curves, i.e., average annual changes in some climatic parameter. This study shows how to use the climatic curves themselves as ENM predictors. The key step is projection of the curves' constituent variables on a suitable spline basis, which preserves time-ordering of the variables and supports smoothness of predictions. Complexity of the model is controlled by sensible choice of the spline basis, followed by lasso regularization in model fitting.

New dendroclimatological research in oak, S (Quercus Frainetto Ten.) forestry in Šumadija-Region- (Central Serbia) as a basis for climate change monitoring

In this work present study to describe the survey of climatic change in the case in Šumadija-Central Serbia. Climate change due to a fragile ecosystem in semi-arid, and arid region such as Serbia is one of the most challenging climatological and hydrological problems. Dendrochronology, wich uses tree rings to their exact year of formation to analyse temporal and spatial patterns of processes in the physical and cultural sciences, can be used to evaluate the effects of climate change. In this study, the effects of climate change werw simulated using dendrochronology (tree rings) and an artificial neural network (ANN) for the period from 1900—2015. The present study was executed using the (Quercus frainetto Ten.). Tree rings width, temperature and precipitation were the input parameters for the study, and climate change parameters were the outputs. After the training process, the model was verified. The verified network and tree rings were used to simulate climatic parameter changes during the past times. The results showed that the integration of dendroclimatology and an ANN renders a high degree of accuracy and efficiency in the simulation of climatic change. The results showed that the climatic of the study area changed from semiarid, to arid, and its annual precipitation decreased significantly.

COMPARATIVE STUDY ON EVAPORATING DEMAND OF THE ATMOSPHERE USING ENERGY BALANCE METHODS

In this study, two models are computed which are modified penman's monteith and Hargreaves – Samani model. The essence is to provide qualitative information related to the antagonistic effect of climate change on sustainable crop production through qualitative understanding of evaporation and transpiration processes in simple term evapotranspiration (ETo). This is computed using climatic parameters obtained from Abubakar Tafawa Balewa University; Agro weather station, Bauchi for the period of three years. This describes the two processes of water loss on plants, at first, through transpiration and on another note, on the soil surface by evaporation. The study deduced a comparative analysis on aforementioned Methods to determine the evaporating power of the atmosphere in improving crops yield and production through estimating the amount of water needed at the root zone of the plant and also, the seasonal variation during the study. The result of this study shows a little deviation in the two models. The model based on Modified Penman's Monteith displays optimal evapotranspiration. This makes the model satisfy its creation for estimation of reference evapotranspiration. In May, June, September, and October for 2013-2015, high trends are recorded. While In July and August low trend was recorded between climatic parameter and the estimated evapotranspiration. The statistical analyses also show that there is a linear relationship between the two estimated models. In the above months, it shows that application of water is needed for the healthy growth of crops and improved crops yield

Rainfall in Bangladesh

Rainfall is the important climatic parameter on which the agriculture and economic condition of Bangladesh depends. For this reason, the scenario of rainfall throughout the country was illustrated briefly in this paper. Secondary data which were annual rainfall data of 34 stations were mainly used for this study, and these data were collected from BBS (Bangladesh Bureau of Statistics) between 2007 and 2019. The data were analyzed and visualized with the aid of Excel. However, the highest rainfall almost 5944 mm was recorded in Sylhet during the year 2017, and the lowest was 792 mm in Rajshahi in 2010. On the contrary, the minimum fluctuation of rainfall was observed in Mongla, whereas, the maximum fluctuation was found in Sylhet.

Measurement of Some Climatic Parameter in Babylon Governorate by Statistical and Mathematical Methods

Evaporation transpiration is one of the most important results in the water balance equation for any natural area or water body, and it is also a critical component of the hydrological cycle. The relationship between temperature and transpiration was obtained using the Thornthwaite method in three stations along with Babylon Governorate. The data for the three meteorological stations were taken for 10 years. The value of climate change was obtained within the study area, including temperature, evaporation, humidity, and rainfall. The value of potential evapotranspiration was calculated by the Thornthwaite method, and the highest value was obtained in July (421.9), and the lowest value in January (3.66). Also, the increase in water was calculated for a study area. It appeared that the increase in evapotranspiration and decrease was in direct relationship with the temperature intensity of the study area.

Statistical Downscaling of Maximum Temperature in Hoshangabad District of India

The Global Climate ModelsCanESM2 and CGCM3 were utilised to downscale the maximum temperature for Hoshangabad district of Madhya Pradesh, India. The area of study comprises to be of 6704 km2 . The predictors employed for CanESM2 were ncepmslpgl, ncepp500gl, ncepp850gl and ncepmslpas, ncepp500gl, ncepp850gl were the predictors fixed for CGCM3. The total duration of the study was from the years 1979 – 2001. The two GCMs, CGCM3 and CanESM2 were checked for their capability in downscaling the maximum temperature climatic parameter. The GCM outputs were evaluated on Nash Sutcliffe Efficiency (NSE) and coefficient of determination (r2 ) criterias. The period of calibration was taken to be 1979-1995 and 1996-2001 was chosen as the period of validation. GCM CanESM2 obtained NSE of 0.77, 0.75 and r2 of 0.79, 0.79 during the periods of calibration and validation respectively. It was concluded that CanESM2 model is found comparatively more suitable for downscaling of maximum temperature for Hoshangabad region. The GCM can be further employed to generate the future scenario of maximum temperature in the region.

DENSITY OF MOSQUITOES SPECIES AND EFFECT OF SOME CLIMATIC PARAMETER IN AMINU KANO TEACHING HOSPITAL, KANO, NIGERIA

In Nigeria mosquito-borne diseases particularly malaria and some emerging and re-emerging infections such as Zika, dengue fever, yellow fever, constitute a big threat to public health. However, there is a paucity of information on the species of mosquito in Kano City Northern Nigeria. Despite mosquitoes control programs that had taken place in this state and its environment, mosquitoes remain a problem in the state and there is little information on the relationship between mosquito species and the effect of some climatic parameters on the mosquitoes distribution in the study area. The mosquito species were collected using the CDC light trap method and climatic parameters such as temperature and relative humidity were recorded at every one hour of the experiments. A total of 26,652 mosquitoes were collected from January to July 2018. Out of the 26,652, 17444 (65.46%) were Culex and 9208 (34.54%) were Anopheles mosquitoes. Culex species were observed to have its peak at 10:00 - 11:00 pm (5435) while Anopheles mosquito species were observed to attain their first peak at 3:00 – 4:00 am (3416). High collections of mosquitoes were obtained at optimum temperature and relative humidity. This study provided information on the mosquito species diversity in respect to seasonal and periodic variation at AKTH and the effect of some climatic parameters.