scholarly journals Seasonal Trend Analysis of Climatic Parameters Relation to Impacts on the Crop Productivity of the Major Crops in Bangladesh

2016 ◽  
Author(s):  
Nafia Jahan Rashmi ◽  
Md. Forhad Hossain ◽  
Mirza Hasanuzzaman
Keyword(s):  
Minimum Temperature ◽  
Rice Yield ◽  
Pearson Correlation ◽  
Wheat Yield ◽  
Seasonal Trend ◽  
Series Data ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Positive Effects ◽  
The Relationship

In Bangladesh, climate change is a major concern because of its geophysical location and climate dependent agriculture. As sessile organisms, crops plants have to face difficulties often in this environmentally vulnerable country. Therefore, this study examines the seasonal trend of two climatic parameters viz. temperature (maximum and minimum) and rainfall over a period of 1983 to 2013. Besides, this study provides insight into the relationship between climatic parameters and crop yield of two major crops viz. rice and wheat during 1997-2013. To assess the relationship of climatic parameters with time and yield using Pearson correlation analysis, time series data used at an aggregate level. SPSS software utilized for this analysis. The cropping seasons such as rice growing seasons Aus (summer rice), Aman (autumn rice) and Boro (winter rice) exhibited a significant increase in maximum and minimum temperature. Rainfall found to have a decreasing trend for all the seasons. This study also revealed that the climatic parameters had significant effects on rice yield, but these results varied among three rice crops. Maximum temperature had positive effects on all rice yields, especially on Aus and Aman. Minimum temperature had a negative effect on Aman rice yield but a positive effect on Aus rice yield. Wheat yield negatively associated with temperature. Rainfall exhibited negative relation with both rice and wheat yield.

scholarly journals Effect of temperature variation on Aman and Boro rice production of Barisal division in Bangladesh

2019 ◽  
Vol 30 (1) ◽  
pp. 95-103
Author(s):  
J Karmokar ◽  
MM Billah ◽  
MA Haque
Keyword(s):  
Temperature Variation ◽  
Minimum Temperature ◽  
Rice Yield ◽  
Rice Production ◽  
Series Data ◽  
Maximum Temperature ◽  
Seasonal Temperature ◽  
Mean Temperature ◽  
The Impact ◽  
Boro Rice

A study was undertaken to study the impact of seasonal temperature variation on Aman and Boro rice production in Barisal division of Bangladesh. The study revealed that the relationship between changing patterns of seasonal mean temperature and yield of rice, which illustrates the average mean temperature for the correlation of time series data from 1958-2008. The regression model is used to analyze the different temperature trends, and to identify the possible factors and causes of these differences. The value of t-statistic for slope and p-value for different regression equations are estimated. Results show that the average maximum temperature is risk increasing for Boro, while it is risk decreasing for Aman for the period of 2006-2008. Besides, minimum temperature is risk increasing for Boro during 1994-2008 but it is risk decreasing for Aman except the year 1998. We observed that the summer temperature has been rising up during the period 1958-1974 and fallen down for 1992-2008. The average annual temperature changes from 0.5˚C to 1˚C over the period from 2005 to 2008 which impact on Aman and Boro rice yield. Therefore, the predictive approach provides an outline for future risk of the minimum temperature that has the impact on rice yield than maximum temperature, which can be used for rice production for its better management strategies. Progressive Agriculture 30 (1): 95-103, 2019

scholarly journals Impact of Climate Change on Rice and Wheat Yield in Punjab State of India: A District-Level Analysis

2021 ◽  
Author(s):  
Mandeep Bhardwaj ◽  
Pushp Kumar ◽  
Siddharth Kumar ◽  
Ashish Kumar
Keyword(s):  
Climate Change ◽  
Least Squares ◽  
Minimum Temperature ◽  
Rice Yield ◽  
Wheat Yield ◽  
Ordinary Least Squares ◽  
District Level ◽  
Maximum Temperature ◽  
Impact Of Climate Change ◽  
The Impact

Abstract The present study aims to examine the impact of climate change on wheat and rice yield of the Punjab state of India. Using district-level panel data from 1981 to 2017, the study employs fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and pooed mean group (PMG) approaches. The Pedroni cointegration has established a long-run relationship of climate variables with rice and wheat crops. The results of FMOLS and DOLS show that minimum temperature has a positive effect on both wheat and rice, while maximum temperature is found to be negatively contributing to both the crops. Rainfall has a significant adverse effect on wheat yield. Seasonal rainfall has been detrimental to wheat and rice yield in the study period, indicating that excess rainfall proved counterproductive. Pooled mean group (PMG) model confirms the robustness of the results obtained by FMOLS and DOLS techniques. Moreover, Dumitrescu-Hurlin causality test has revealed a unidirectional causality running from minimum temperature, rainfall & maximum temperature to rice and wheat yield. The findings of the study suggest that the government should invest in developing stress-tolerant varieties of wheat and rice, managing crop residuals to curb further environmental effect and sustain natural resources for ensuring food security.

Trends in major climatic parameters and sensitivity of evapotranspiration to climatic parameters in the eastern Himalayan region of Sikkim, India

2019 ◽  
Vol 11 (2) ◽  
pp. 491-502
Author(s):  
G. T. Patle ◽  
D. Sengdo ◽  
M. Tapak
Keyword(s):  
Sensitivity Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Minimum Temperature ◽  
Reference Evapotranspiration ◽  
Himalayan Region ◽  
Series Data ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Eastern Himalayan Region

Abstract In this study, temporal trends in daily time series data of key climatic parameters were analyzed using Mann–Kendall and Sen's slope estimator. Sensitivity analysis of each climatic parameter on reference evapotranspiration (ETo) was performed to estimate the sensitivity coefficients and to evaluate the impact of global warming on ETo in the eastern Himalayan region of Sikkim, India. Results of trend analysis showed a significant increasing trend for minimum temperature and mean temperature. Mean relative humidity and sunshine duration showed decreasing trends. Reference evapotranspiration also showed a significant decreasing trend by 0.008 mm year–1 in Sikkim state of India. Sensitivity analysis revealed that the seasonal and annual ETo were most sensitive to maximum temperature followed by sunshine hours whereas wind speed, minimum temperature and relative humidity had a fluctuating effect on mean ETo. The sensitivity coefficient indicated that ETo changes positively with maximum and minimum temperature, sunshine hour, and wind speed, while it changes negatively with relative humidity. Analysis indicated that increase in relative humidity would decrease the ETo in the study area. The findings of this study would be useful for sustainable water resources planning and management of agriculture in hilly regions of the state and for development of adaptation strategies in adverse climatic conditions.

The Effect of Climate Change on the Health of Aged People in Ibadan, Nigeria

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
O. J. Kehinde ◽  
A. T. Adeboyejo
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Data Set ◽  
Aged People ◽  
Improvement Programs ◽  
The Relationship ◽  
Component Scores ◽  
Ibadan Nigeria

Susceptibility to ill health among aged people had been linked with climate change impacts in rapidly urbanising cities. Therefore, this study evaluates to the vulnerability of aged people to the health impacts of climate change in Ibadan, Nigeria. Data on clinically diagnosed climate related diseases (CRDs) (2000 – 2014) among aged people (>50 years) and temperature and rainfall parameters (1970 – 2007) in Ibadan were obtained and projected to year 2050. Also, the relationship between the climatic parameters and incidence of the five most prevalent CRDs were analysed using multiple regression. The increasing trend of mean maximum temperature (r = 0.47) and rainfall (r = 0.15) is associated with incidences of hypertension (34.4%), respiratory diseases (21.2%) and diarrhoea (14.3%) among aged people (> 60 years), mostly male folk (67.2%). The linear composite of disease communalities extracted 84.0% variance of the data set with the following component scores: skin disease (0.98), hypertension (0.96), respiratory disease (0.92), diarrhoea (0.89) and malaria (0.45). Further, CRDs (R2 = 27%, p = 0.012) in Ibadan among aged people could be significantly attributed to influences of climatic parameters. The study suggests building aged peoples’ resilience to emanating impacts through health and nutritional improvement programs, and re-introduction of neighbourhood parks and gardens.

scholarly journals Assessment of the Relationship between Cerebrospinal Meningitis and Climate Variables in Kaduna State, Nigeria

2021 ◽  
pp. 33-41
Author(s):  
Joyce Imara Nchom ◽  
A. S. Abubakar ◽  
F. O. Arimoro ◽  
B. Y. Mohammed
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Linear Trend ◽  
Pearson Correlation ◽  
Maximum Temperature ◽  
Data Set ◽  
International Research Institute ◽  
Wind Speed Maximum ◽  
Weather Parameters ◽  
The Relationship

This study examines the relationship between Meningitis and weather parameters (air temperature, maximum temperature, relative humidity, and rainfall) in Kaduna state, Nigeria on a weekly basis from 2007–2019. Meningitis data was acquired weekly from Nigeria Centre for Disease Control (NCDC), Bureau of Statistics and weather parameters were sourced from daily satellite data set National Oceanic and Atmospheric Administration (NOAA), International Research Institute for Climate and Society (IRI). The daily data were aggregated weekly to suit the study. The data were analysed using linear trend and Pearson correlation for relationship. The linear trend results revealed a weekly decline in Cerebro Spinal Meningitis (CSM), wind speed, maximum and air temperature and an increase in relative humidity and rainfall. Generally, results reveal that the most important explanatory weather variables influencing CSM amongst the five (5) are the weekly maximum temperature and air temperature with a positive correlation of 0.768 and 0.773. This study recommends that keen interest be placed on temperature as they play an essential role in the transmission of this disease and most times aggravate the patients' condition.

Climate effects on crop yields in the Northeast Farming Region of China during 1961–2010

2016 ◽  
Vol 154 (7) ◽  
pp. 1190-1208 ◽  
Author(s):  
X. G. YIN ◽  
J. E. OLESEN ◽  
M. WANG ◽  
I. ÖZTÜRK ◽  
F. CHEN
Keyword(s):  
Solar Radiation ◽  
Crop Yield ◽  
Growth Phase ◽  
Minimum Temperature ◽  
Rice Yield ◽  
Wheat Yield ◽  
Maize Yield ◽  
Climatic Variables ◽  
Growth Phases ◽  
Flowering Phase

SUMMARYCrop production in the Northeast Farming Region of China (NFR) is affected considerably by variation in climatic conditions. Data on crop yield and weather conditions from a number of agro-meteorological stations in NFR were used in a mixed linear model to evaluate the impacts of climatic variables on the yield of maize (Zea mays L.), rice (Oryza sativa L.), soybean (Glycine max L. Merr.) and spring wheat (Triticum aestivum L.) in different crop growth phases. The crop growing season was divided into three growth phases based on the average crop phenological dates from records covering 1981 and 2010 at each station, comprising pre-flowering (from sowing to just prior to flowering), flowering (20 days around flowering) and post-flowering (10 days after flowering to maturity). The climatic variables were mean minimum temperature, thermal time (which is used to indicate changes in the length of growth cycles), average daily solar radiation, accumulated precipitation, aridity index (which is used to assess drought stress) and heat degree-days index (HDD) (which is used to indicate heat stress) were calculated for each growth phase and year. Over the 1961–2010 period, the minimum temperature increased significantly in each crop growth phase, the thermal time increased significantly in the pre-flowering phase of each crop and in the post-flowering phases of maize, rice and soybean, and HDD increased significantly in the pre-flowering phase of soybean and wheat. Average solar radiation decreased significantly in the pre-flowering phase of all four crops and in the flowering phase of soybean and wheat. Precipitation increased during the pre-flowering phase leading to less aridity, whereas reduced precipitation in the flowering and post-flowering phases enhanced aridity. Statistical analyses indicated that higher minimum temperature was beneficial for maize, rice and soybean yields, whereas increased temperature reduced wheat yield. Higher solar radiation in the pre-flowering phase was beneficial for maize yield, in the post-flowering phase for wheat yield, whereas higher solar radiation in the flowering phase reduced rice yield. Increased aridity in the pre-flowering and flowering phases severely reduced maize yield, higher aridity in the flowering and post-flowering phases reduced rice yield, and aridity in all growth phases reduced soybean and wheat yields. Higher HDD in all growth phases reduced maize and soybean yield and HDD in the pre-flowering phase reduced rice yield. Such effects suggest that projected future climate change may have marked effects on crop yield through effects of several climatic variables, calling for adaptation measures such as breeding and changes in crop, soil and agricultural water management.

scholarly journals Polycentricity in a developing world: A micro-regional analysis for morphological polycentricity in Turkey

GeoScape ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 64-75 ◽  
Author(s):  
N. Aydan Sat
Keyword(s):  
Social Cohesion ◽  
Environmental Sustainability ◽  
Pearson Correlation ◽  
Empirical Studies ◽  
Regional Analysis ◽  
Spatial Development ◽  
Positive Effects ◽  
Economic Competitiveness ◽  
The Relationship ◽  
Development Perspective

Abstract Following the publication of ‘European Spatial Development Perspective’ in 1999, a large number of theoretical and empirical studies have been carried out on polycentric spatial development especially in European settlements. The relationship between polycentricity and economic competitiveness, environmental sustainability and social cohesion are some of the main concerns of these studies. This study aims to clarify ‘the meaning of polycentricity’ in the case of Turkey, as a developing country and analyse the relationship between polycentric spatial development and economic competitiveness, environmental sustainability and social cohesion. After calculation of morphological polycentricity of the regions at NUTS-5 level, the propositions on the positive effects of polycentric spatial development on economic competitiveness, environmental sustainability and social cohesion is tested by using Pearson correlation and OLS regression models. The results of the empirical study are mixed for these three subjects. Polycentric spatial development has not positive effects on economic competitiveness and social cohesion in Turkey case. Conversely, a positive effect exists in terms of environmental sustainability. It can be said, that to reach those policy aims highlighted by European Spatial Development Perspective, could not be realised by only taken into account polycentric spatial development in Turkey case.

scholarly journals DETERMINAÇÃO DO ÍNDICE DE COMBUSTÃO E DA TAXA DE QUEIMA DE BRIQUETES DE RESÍDUOS LIGNOCELULÓSICOS POR MEIO DE UM APLICATIVO DE COMPUTADOR COM COLETA DE DADOS AUTOMATIZADA

2021 ◽  
Vol 35 (4) ◽  
pp. 531-548
Author(s):  
Emanuel Rangel Spadim ◽  
Humberto de Jesus Eufrade Júnior ◽  
Natália Laís Felisardo Vieira Arruda ◽  
Elaine Cristina Leonello ◽  
Saulo Philipe Sebastião Guerra
Keyword(s):  
Burning Rate ◽  
Pearson Correlation ◽  
Sao Paulo ◽  
Computer Application ◽  
Maximum Temperature ◽  
São Paulo ◽  
Mass Consumption ◽  
The Relationship ◽  
E Mail

DETERMINAÇÃO DO ÍNDICE DE COMBUSTÃO E DA TAXA DE QUEIMA DE BRIQUETES DE RESÍDUOS LIGNOCELULÓSICOS POR MEIO DE UM APLICATIVO DE COMPUTADOR COM COLETA DE DADOS AUTOMATIZADA   EMANUEL RANGEL SPADIM1, HUMBERTO DE JESUS EUFRADE-JUNIOR1, NATALIA LAÍS FELISARDO VIEIRA ARRUDA2, SAULO PHILIPE SEBASTIÃO GUERRA1, ELAINE CRISTINA LEONELLO1   1 Departamento de Engenharia Rural e Socioeconomia, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista –Unesp, Av. Universitária, 3780, Altos do Paraíso, Cep: 18610‑034, Botucatu, São Paulo, Brasil. E-mail: [email protected], [email protected], [email protected], [email protected] 2 Faculdade de Tecnologia de Botucatu – Fatec Av. José Ítalo Bacchi, s/n - Jardim Aeroporto, Cep:18606‑851, Botucatu, São Paulo, Brasil. E-mail: [email protected]   RESUMO: O objetivo deste trabalho foi avaliar o comportamento da queima e aprimorar a determinação do índice de combustão de briquetes de biomassa – ICOM, proposto por Quirino e Brito (1991), por meio de um aplicativo de computador com a coleta automatizada dos dados. Foram usados briquetes de toco de eucalipto, casca de algodão, madeira de pinus e bagaço de cana-de-açúcar, que foram especialmente confeccionados para a determinação do novo índice de combustão denominado ICOMa. O ICOMa foi estatisticamente mais sensível que o ICOM na observação da relação entre consumo de massa e geração de calor de materiais com diferentes curvas de temperatura, diferentemente do ICOM. O maior ICOMa foi de 0,97 K h g-1 e o menor de 0,75 K h g-1, enquanto os ICOM (adimensionais) foram de 0,55 e 0,43, respectivamente. A correlação de Pearson entre ICOMa e o tempo para atingir a temperatura máxima foi a maior entre as variáveis avaliadas.   Palavras-chave: Aquisição de dados. Biomassa. Poder calorífico. Taxa de queima.   DETERMINATION OF THE COMBUSTION INDEX AND BURNING RATE OF LIGNOCELLULOSIC WASTE BRIQUETTES THROUGH A COMPUTER APPLICATION WITH AUTOMATED DATA COLLECTION   ABSTRACT: This work evaluated the behavior of the briquettes during burning and to improve the determination of the combustion index of biomass briquettes - ICOM, proposed by Quirino and Brito (1991), through a computer application with automated collection of data. The briquettes used in the tests were cotton bark, eucalyptus stump, sugarcane bagasse and pine wood and were produced specifically for the determination of the new combustion index called ICOMa. ICOMa was more sensitive than ICOM in observing the relationship between mass consumption and heat generation, and allowed to observe statistically significant differences between materials with different temperature curves, different from ICOM. The highest ICOMa was 0.97 K h g-1 and the lowest 0.75 K h g-1, while the ICOM (dimensionless) were 0.55 and 0.43, respectively. The highest Pearson correlation observed for ICOMa occurred with time to reach the maximum temperature.   Keywords: data acquisition, biomass, higher heating value, burning rate.

scholarly journals HUBUNGAN TINGKAT PENDAPATAN DENGAN TINGKAT KONSUMSI MASYARAKAT DI KECAMATAN BONTONOMPO KABUPATEN GOWA

2013 ◽  
Vol 9 (1) ◽  
Author(s):  
Sanusi Am Sanusi Am ◽  
Ansar Ansar
Keyword(s):  
Time Series ◽  
Significant Relationship ◽  
Time Series Data ◽  
Pearson Correlation ◽  
Income Level ◽  
Analytical Tool ◽  
Central Bureau ◽  
Series Data ◽  
Public Consumption ◽  
The Relationship

The purpose of this study is to explain the relationship between the level of income with the level of public consumption in District Bontonompo Gowa District. This research uses time series data obtained from Central Bureau of Statistics (BPS). The analytical tool used is Pearson correlation formula with the help of SPSS For Windows Release 16. The results concluded that the income level has a significant relationship to the level of public income in District Bontonompo Gowa Regency. It is expected that the Gowa Regency government can pursue programs that can encourage the creation of more and more diverse employment so that the communities of each bias can earn a decent income and meet their consumption needs

scholarly journals Sezonowe zróżnicowanie temperatury wody na przykładzie wybranych rzek nizinnych Mazowsza = Seasonal differentiation of water temperature on the example of lowland Mazovian rivers

2020 ◽  
Vol 92 (3) ◽  
pp. 391-408
Author(s):  
Maksym Łaszewski
Keyword(s):  
Water Temperature ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Pearson Correlation ◽  
Thermal Conditions ◽  
Statistical Distribution ◽  
Maximum Temperature ◽  
Pearson Correlation Coefficient ◽  
The Relationship ◽  
Ward Method

Thermal regime has a critical impact on the lotic environment, as maximum temperature determines the boundaries of the occurrence of aquatic species, seasonal and diurnal water temperature variations affect their bioenergetics, while the timing of specific water temperature values during the year is important in the context of spawning and migrations. However, despite the great importance of water temperature studies in the context of environmental management and fisheries, as well as the development of accurate measurement techniques, such investigations have received relatively limited attention in Poland. The current study attempted to examine the seasonal differentiation of water temperature in lowland rivers. For this purpose, water temperature was recorded from the 1st of May 2015 to the 30th of April 2019 with a temporal resolution of 30-minutes. Digital temperature reorders used to make the measurements were distributed across six sites in Jeziorka, Świder and Utrata catchments located on the Mazovian Lowland and the Southern Podlachia Lowland near Warsaw. The hydrometeorological background of the water temperature monitoring was determined on the basis of data from the Warszawa-Okęcie station and water gauging stations. On the basis of the measurement data, mean, maximum, and minimum monthly water temperatures were calculated and presented on the background of the appropriate air temperature data, while statistical distribution of the 30-minute water temperature, aggregated in a monthly timescale, was presented on the box and whiskers plots. The Ward method was used to group months similar in terms of their thermal conditions, while the Pearson correlation coefficient was applied to evaluate the strength of the relationship between water and air temperature. The results indicate that the seasonal course of water temperature follows the course of air temperature, with the highest mean monthly water temperatures recorded in July, while the lowest in January. Statistical distribution analysis of water temperature in individual months and its grouping by the Ward method allowed to identify two periods characterized by relatively stable thermal conditions and two periods of dynamic changes of water temperature. In contrast to the maximum values of water temperature, which were observed in the summer as a result of intensive solar radiation and low streamflow rates, the greatest variability of water temperature, as indicated by reference to mean daily range and standard deviation, was found in the spring months, i.e. in April and May, while the lowest in winter, from December to February. The relationship between daily mean water temperature and air temperature, established with the use of the Pearson correlation coefficient on a monthly basis, was clearly stronger during the spring increase and the autumn fall of the water temperature, which can be linked with greater vulnerability to atmospheric heat fluxes. A definitely weaker relationship was found in the winter and summer months, when greater importance can be attached to other drivers of stream temperature, like the presence of ice cover, cloudiness, riparian shading, and groundwater inflows.

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