scholarly journals Incomplete Gamma distribution of rainfall for sustainable crop production strategies at Palampur, Himachal Pradesh

MAUSAM ◽  
2021 ◽  
Vol 60 (1) ◽  
pp. 73-80
Author(s):  
P. K. SINGH ◽  
L. S. RATHORE ◽  
K. K. SINGH ◽  
A. K. BAXLA ◽  
B. ATHIYAMAN

The knowledge of rainfall pattern (amount and probability) helps in planning of crops to be grown in a region. Therefore weekly, monthly, seasonal and annual rainfall data for 33 years (1974-2006) for the station Palampur have been collected and its analysis has been attempted.  The annual and monthly rainfall data were analyzed for finding out drought normality and abnormality. The analysis indicated that the rainfall is mainly confined in annual rainfall       2343 mm with 25.7 per cent variability. The standard deviation of annual rainfall is 62.8 mm. Each standard week from 26th to 35th receive a rainfall of more than 100 mm, indicating the crop period. Seed sowing in paddy nursery in the Palampur region generally takes places immediately after initiation of monsoon during 23rd - 25th standard meteorological weeks and transplanting is carried out around 27th or 28th standard meteorological week. The tillering, 50 percent flowering and dough stage are observed during 32-33rd, 37-38th and 40-41st  standard meteorological weeks respectively.

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Conrad Kyei-Mensah ◽  
Rosina Kyerematen ◽  
Samuel Adu-Acheampong

Crop production in the Fanteakwa District is predominantly rainfed, exposing this major livelihood activity to the variability or change in rainfall pattern. The net potential effect of severe changes in rainfall pattern is the disruption in crop production leading to food insecurity, joblessness, and poverty. As a major concern to food production in Ghana, this study seeks to show the relationship between the production of major crops and rainfall distribution pattern in the Worobong Agroecological Area (WAA) relative to food security in the face of climate change. The study analysed the variability in local rainfall data, examining the interseasonal (main and minor) rainfall distribution using the precipitation concentration index (PCI), and determined the pattern, availability of water, and the strength of correlation with crop production in the WAA. Data from the Ghana Meteorological Agency (GMet) spanning a 30-year period and grouped into 3 decades of 10 years each was used. Selected crop data for 1993-2014 was also obtained from the Ministry of Food and Agriculture’s District office and analyzed for trends in crop yield over the period and established relationship between the crop data and the rainfall data. Part of the result revealed that rainfall variability within the major seasons in the 3 groups was lower than the minor seasons. It further showed that yields of three crops have declined over the period. Among the strategies to sustain crop production is to make the findings serve as useful reference to inform discussions and policy on adaptive agricultural production methodologies for the area in the face of changing climate.


2020 ◽  
Vol 1000 (1000) ◽  
Author(s):  
Giarno Arno ◽  
Muflihah Muflihah ◽  
Mujahidin Mujahidin

The quality of rainfall data is very important in disaster or hazard analysis and water resource management. However, the accuracy and density of rainfall gauges are increasing, especially if related to the increasing amount of rainfall due to extreme events, such as floods that occurred in Makassar City in 2019. The purpose of this study is to analyze the scenario of optimal rainfall measurement measures in Makassar City. Determination number of the optimal rainfall equipment acquired by calculation of the coefficient of variation or relative standard deviation and error level based on the latest rainfall data in several locations in Makassar City. The results showed that the change of the number of optimal rain gauges varies with the level of error schemes. If the rainfall measurement wants to be improved, the number of rain gauges must be added. Moreover, increasing rainfall accumulation requires an additional rain gauge. By comparing the monthly rainfall data obtained from the rain station in Makassar, it takes 10 rain stations so that the error level is 5%. Nevertheless, using a longer rainfall duration causes the number of the optimal rain gauge to increase. The optimal rain gauge for annual rainfall data at an error level of 5% is 55 units, while if the error level is increased to 10% then 14 units and 6 units for error levels of 15%. Based on the calculation of the relative standard deviation (RSD) from 5 locations that measuring rainfall in Makassar, the biggest city in west coast Sulawesi Island obtained the level of error level is 10%. The scenario with combined among the five existing rain gauges showed that needs to be added to the rainfall gauge between Panaikang or Biring Romang and Sudiang. It is also important to add equipment on-site between Paotere and Barombong.


2014 ◽  
Vol 6 (1) ◽  
pp. 214-219 ◽  
Author(s):  
Bhim Singh ◽  
C.K. Arya ◽  
Jitendra Singh ◽  
K.K. Mourya

A study was carried out to analyze the rainfall data for storage and irrigation planning under humid south-eastern region of Rajasthan using a time series record for 32-year (1980-2011) periods. It was observed that most of the years under observation were having adequate rainfall for all round the year crop production provided the water were collected during the rainy season. The area received 921.5 mm annual rainfall out of which 92% occurred during southwest monsoon (June-September) season. Of the total study period of 32 years, 19% were drought years, 66% were normal years and the remaining 15% were the abnormal years. The annual rainfall during the period showed negative trend (-6.955 mm/year). It showed decreasing trend (-7.782 mm/year) during the month of August and positive trends with 0.864, 3.909 and 1.192 mm/year, respectively, during month of June, July and September. The analysis generally showed that water deficit appeared during the period of November up till May and rain water was excess during the period of June up till September. During these months, rain water can be stored with the help of rainfall harvesting system. If only 50% of total rain water is collected, it forms approximately 44.16 lacs litres of water on a unit hectare basis of land. This rainfall water will be adequate for all rounds the year crop production with conservation of rain water and judicious use of rain water resources.


Author(s):  
Ramesh Bethala B. V. Asewar ◽  
M. S. Peneke K. K. Dakhore ◽  
M. G. Jadhav A. M. Khobragade

About 60 per cent of the total cultivable area of the country is rainfed. However, prolonged dry periods affect the final crop production. Monsoon is an important season for water supplies, from surface reservoir. Uneven distribution of rainfall, affect the agricultural production remarkably. The daily rainfall data was collected for each taluka of Nanded district for the period of 20 years (1998-2017) and it was to be summed up on meteorological weekly, monthly, seasonally, annual basis for each taluka of Nanded district basis for the study of rainfall characterization. The results indicated that weekly mean annual basis total rainfall was ranged between 720.0 mm in Deglur and 1009.9 mm in Mahur. The weekly highest rainfall on annual basis was recorded in Himayat Nagar (53.7 mm) in the 30th MW amongst all the taluka considering monsoon period (23 to 42 MW). The monthly mean rainfall indicated that the lowest and highest monthly mean rainfall amongst all the taluka was observed in Nanded, Kandhar, Loha, Hadgaon, Bhokar, Kinwat, Mahur, Dharmabad, Ardhapur, Naigaon talukas (0.0 mm) in the December month and in the Mahur taluka (283.1 mm) in July month. The seasonal distribution of Nanded district was obtained in winter season (6.1 mm), in summer (15.5 mm), in monsoon (578.3 mm), in post monsoon (216.6 mm). The annual rainfall data is statistical analyzed for Nanded district and within the year and taluka to taluka ranged C.V. (%) were between 25.0 to 46.9 %. The data of taluka-wise annual normal of weather parameter (i.e. rainfall and rainy days) calculated. Here, the results indicated that the onset of monsoon was observed in 23th MW and withdrawal in 43rd MW in Nanded district. It showed that average rainfall of Nanded district is 816.4 mm with 45.0 rainy days per year. The results clearly indicated the onset of monsoon in 23th MW and withdrawal of monsoon in 43rd MW for the Nanded district should be considered. The statistical analysis for rainfall variability was worked out and it was intra-annual as well as intra-taluka variation in Nanded district. It was ranged between 19.0 to 51.0 per cent with annual mean 45.0 rainy days per year.


Author(s):  
Antonio G. Pinheiro ◽  
Thais E. M. dos S. Souza ◽  
Suzana M. G. L. Montenegro ◽  
Abelardo A. de A. Montenegro ◽  
Sérgio M. S. Guerra

ABSTRACT The objective of the present study was to characterize the spatial and temporal (2000-2015) rainfall pattern variability and erosive potential in the different physiographic regions of the state of Pernambuco, Brazil. Rainfall data series (3 to 12 years) from 25 weather stations of the state were analyzed. Erosive rainfall events (more than 10 mm depth) were considered to evaluate the annual erosivity index, monthly erosivity index (EI30), rainfall erosivity factor (R), and rainfall pattern. The inverse distance weighting (IDW) - inverse of the square of the distance - was used to create spatial interpolation and develop maps. The rainfall data from the weather stations showed average annual rainfall of 827 mm and average erosivity of 4,784 MJ mm ha-1 h-1. The Metropolitan region of Pernambuco presented the highest rainfall erosivity index, with annual average of 9,704 MJ mm ha-1 h-1; and the Sertão do São Francisco region had the lowest, with annual average of 4,902 MJ mm ha-1 h-1. The state of Pernambuco presented advanced (42%), intermediate (38%), and delayed (20%) rainfall patterns.


2007 ◽  
Vol 99 (4) ◽  
pp. 904-911 ◽  
Author(s):  
D. L. Tanaka ◽  
J. M. Krupinsky ◽  
S. D. Merrill ◽  
M. A. Liebig ◽  
J. D. Hanson

2018 ◽  
Vol 24 (2) ◽  
pp. 87-96
Author(s):  
Iput Pradiko ◽  
Eko Novandy Ginting ◽  
Nuzul Hijri Darlan ◽  
Winarna Winarna ◽  
Hasril Hasan Siregar

El Niño 2015 is one of the strongest El Niño. Drought stress due to El Niño could affect oil palm performances. This study was conducted to determine rainfall pattern and oil palm performance in Sumatra and Borneo Island during El Niño 2015. Data employed in this study is monthly rainfall data, Southern Oscillation Index (SOI) January-December 2015, andoil palm performances. Pearson correlation between SOI and rainfall data was used to analyze rainfall pattern, while oil palm performances were observed based on morphological conditions. Result shows that southern part of Sumatra and mostly part of Borneo suffer from more dry spell, dry month, and water deficit such as 37-133 days, 3-5 months, and 349-524 mm respectively. Analysis of rainfall pattern shows that Jambi, South Sumatra, Lampung, Central, South, and East Borneo are significantly (r ≥ +0,60) affected by El Niño 2015. Oil palms in southern part of Sumatra and mostly part of Borneo are suffer from drought stressmarked by the emergence of more than two spear fronds, appearing of many male flowers, malformations on bunches, fronds tend to hanging down, and lower fronds tend to dry.


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