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Studies on Agro-climatic Parameters for Crop Planning at Three Locations of Satkhira, Hatiya and Maizdicourt

F. R. Muminah
MS Student and Professor respectively.
Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

A. A. Sarkar
Director (Admin. & S.S.)
Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202, Bangladesh

M. Ahmed
MS Student and Professor respectively.
Department of Irrigation and Water Management, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

M. A. Rahman
Agril. Engg. Division, Bangladesh Institute of Nuclear Agriculture-2202, BAU Campus, Mymensingh. Bangladesh

P. Biswas
Agril. Engg. Division, Bangladesh Institute of Nuclear Agriculture-2202, BAU Campus, Mymensingh. Bangladesh

Abstract/ Executive Summary:

An agro-climatic study was undertaken to investigate the trends of climatic parameters using data from Satkhira, Hatiya and Maizdicourt weather stations. Daily values of maximum temperature, minimum temperature, rainfall and relative humidity from 1973 to 2012 were collected. From the daily data, monthly and annual values were calculated for analysis. Prediction was also carried out by using the "MAKESENS" model for the year of 2020, 2025 and 2030. The results indicated that the trend lines of maximum temperature gradually increased in Hatiya and Maizdicourt, whereas slightly decreased in Satkhira. In contrast, the trend lines of minimum temperature slightly increased at Satkhira, gradually decreased in Hatiya and gradually increased in Maizdicourt. The trend lines of total rainfall were more or less same in Satkhira, but slightly increased in Hatiya, whereas slightly decreased in Maizdicourt. The trend lines of relative humidity increased in the three different stations, but highly increased at Satkhira and Hatiya, whereas slightly increased in Maizdicourt. It was predicted that the trend lines of maximum temperature would be gradually increased in summer season and the minimum temperature would be gradually decreased in winter season for these three selected stations. Again, the trend lines of total rainfall would be increased in rainy season and decreased in summer season. Further, trend lines of relative humidity would be increased in rainy season and decreased in summer season for the three selected stations.

Keywords: Agro-climatic parameters, Climate change, Prediction, Trend

Location: Satkhira, Hatiya and Maizdicourt stations from the Meteorological Department of Bangladesh situated at Agargoan, Dhaka

Start Date: 00-00-1973

End Date: 00-00-2012

Program Area: Socio-economic and Policy

Non-commodity: Seasonality in production

Objectives:

(i) To evaluate long-term trend of agro- climatic parameters

(ii) To predict the agro-climatic parameter for the future

(iii) To identify time and area for suitability for crop production.

Methodology:

Major climatological data, like maximum temperature, minimum temperature, rainfall, relative humidity for a period of 40-years (1973-2012) were collected for Satkhira, Hatiya and Maizdicourt stations from the Meteorological Department of Bangladesh (MDB) situated at Agargoan, Dhaka. At first, monthly values were calculated from the daily data. Average values of monthly maximum temperature and minimum temperature (^oC) for each month of the year were calculated from the 40-years data (1973-2012). Then these values were plotted against the months to see the decade wise variation of monthly maximum temperature over the year for the study stations. Similar diagrams were plotted using average values of monthly minimum temperature (^oC) to see the decade wise variation of minimum temperature for the stations. This aided to identify the warmest and coldest months at these three stations. Maximum and Minimum temperature (^oC) values were plotted on Excel spread-sheet for the three stations and trend line were fitted through them. From the equations of trend line, the base line values (values represented by the trend lines) of annual mean temperature were calculated at the beginning and end of the study period. Monthly and annual rainfall (mm) totals were calculated from the daily rainfall (mm) data for the entire study period. Similar analyses, as mentioned above, were also carried out with the annual and monthly rainfall values. Daily data on relative humidity (%) were available from 1973 to 2012 for all the three stations. From these data, analyses were carried out following the above mentioned method. The “MAK ESENS” software was used to detect and estimate trends. This software is based on the non-param etric Mann-Kendall test for trends an d the non-parametric Sen’s m ethod for the ma gnitude of the trend. The advantage of the non-para metric m etho d is that it is applicable for both m onot onic and non-m onotonic trends, and it can operate with m is s ing data.

Source of Information: Bangladesh J. Nuclear Agric. 30: 125-137,2014, ISSN 0258-7130

Article Link (Online Journal):

Funding Source:

1. Government

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The study revealed that there were evidences of gradual changes of climatic parameters over the years. Such changes were not consistent in all regions and not evenly distributed over the seasons. The trend lines of maximum temperature gradually increased at Hatiya and Maizdicourt whereas slightly decreased at Satkhira. The minimum temperature slightly increased at Satkhira, but gradually decreased at Hatiya, whereas gradually increased at Maizdicourt. The trend lines of total rainfall were more or less same in Satkhira, but slightly increased in Hatiya, whereas slightly decreased at Maizdicourt. The trend lines of relative humidity increased at the three different stations, but highly increased at Satkhira and Hatiya, whereas slightly increased at Maizdicourt. It was predicted that the trend lines of maximum temperature would be gradually increased day by day in the summer. season. The minimum temperature would be gradually decreased day by day in the winter season for the three selected stations. The trend lines of total rainfall would be increased in rainy season and decreased in summer season. The trend lines of relative humidity would be increased in rainy season and decreased in summer season.

Knowledge Management: Journal