Trend analysis and change point detection of rainfall of Andhra Pradesh and Telangana, India

Waghaye, A. M.; Rajwade, Yogesh Anand; Randhe, R. D.; Kumari, Nidhi

doi:10.54386/jam.v20i2.532

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…In this study, the trend analysis of climatic variables like temperature and rainfall was performed using the Mann-Kendall test [11,12] which was quantified by Sen's slope method [13,14,15]. Similarly, the trend analysis and Sen's slope were also performed for the productivity of crops.…”

Section: Methodsmentioning

confidence: 99%

Climatic and Fruit Productivity Trends in Solan District, Himachal Pradesh, India

Bharti,

Panatu,

Thakur

et al. 2023

IJECC

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The shortened duration of the winter season in the Himalayan region caused by snow melting has a negative impact on fruit crop growth and productivity. The present study focused on examining the impact of climate change on fruit crops in the Solan district of Himachal Pradesh, India, situated in the Himalayan region. The trend analysis of climatic variables (temperature and rainfall) along with the productivity of fruit crops was investigated. The climate data spanning 30 years (1990–2019), including average temperature (maximum, minimum, and diurnal) and annual rainfall used during crop development stages like pre-flowering, flowering, and fruit-setting stages. To evaluate climatic trends, the Standardized Anomaly Index (SAI) and Mann-Kendall Test for quantification were employed. The Multivariate Linear Regression Analysis was performed to establish a correlation between climatic variables and crop productivity. The findings indicated that during the pre-flowering stage, there was a gradual increase in average maximum temperature at a rate of 0.001°C per year, along with a corresponding rise in diurnal temperature at a rate of 0.036°C per year. However, annual rainfall and average minimum temperature exhibited non-significant decreasing trends, with rates of -0.044°C and -0.033 mm, respectively. During the flowering stage, there was a significant increase in minimum temperature at a rate of 0.151°C per year, while diurnal temperature exhibited a significant decrease of -0.158°C per year. Other variables did not exhibit substantial changes during this stage. In the fruit-setting stage, only the minimum temperature demonstrated a significant decrease over the study period. The response to climate change revealed an overall positive trend for all fruit crops, leading to higher productivity. The correlation study indicated that the phenological stages of each crop were more positively influenced by temperature than rainfall, owing to existing climatic variations. The current climatic conditions in the Solan district were found to be favorable and productive for crop development, as all crops showed increased productivity based on the trend analysis. The study highlights climatic trends and their impact on the productivity of fruit crops in the Himalayan region, which is useful for agricultural planning and adaptation strategies in response to changing climatic conditions.

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Section: Methodsmentioning

confidence: 99%

Climatic and Fruit Productivity Trends in Solan District, Himachal Pradesh, India

Bharti,

Panatu,

Thakur

et al. 2023

IJECC

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“…Northeast monsoons due to obstruction caused by the Western Ghats of Karnataka and Eastern Ghats of Tamil Nadu (Waghaye et al, 2018). The Bengaluru region, classified under the eastern dry zone of Karnataka, receives rainfall in two peaks, one in May and another in September month, making it inconvenient to grow medium to long-duration crops because of improper onset of monsoon and its ill distribution (Sanjeevaiah et al, 2021).…”

Section: Study Area Major Crops and Influence Of Rainfall On Their Pe...mentioning

confidence: 99%

Re-evaluating soil moisture-based drought criteria for rainfed crops in peninsular India

Bal,

Shivaramu,

Vijaya Kumar

et al. 2024

Front. Environ. Sci.

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Background: Peninsular India, being completely under the influence of monsoonal climate, suffers crop yield variability due to rainfall distribution-induced soil moisture constraints. Timely and appropriate assessment of this rainfall and soil moisture-induced crop yield variability serves as a key for exemplary relief assistance. Per cent available soil moisture (PASM) is one among several drought declaration indices followed by stakeholders in India for declaration of drought, needs re-evaluation as the existing criteria in unable to capture the yield loss due to ineffective classification of PASM categories. This study attempts to revise the agricultural drought classes by PASM based on relationships established between yield of major rainfed crops of the study region and PASM.Methods: Analysis of yield variability due to PASM was carried out based on long term observations in experiments conducted at five dry farming locations (Akola, Parbhani, Kovilpatti, Ananthapuramu and Bengaluru) of peninsular India. The average yield for each category of PASM was calculated and tabulated for regression analysis. The PASM versus yield in each group was correlated and regression equations were developed if significant positive correlations were established.Results: The range of available soil moisture to obtain at least 50 percent of optimum yield in cereals (maize: 26 and finger millet: 52.9 PASM), pulses (pigeon pea: 37.2 PASM), oilseeds (soybean: 26.8 to 30.5, groundnut: 53.8 to 61.7 PASM) and commercial crops (cotton: 26.3 PASM) was 26–61 percent.Conclusion: The revised PASM-based drought classes (0–50 severe; 51–75 mild and 76–100 no drought) would help in drought declaration and precise identification of drought-hit areas for meaningful relief assistance. However, there is further investigation is needed to include a soil component for further fine-tuning of the criteria.

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“…Telangana is classified as a semi-arid state and mean yearly rainfall varies from 677 mm to 998 mm (Waghaye, et al, 2018) [9] . The present study was conducted to know the rainfall variability in and around the region of the Regional Agricultural Research Station, (RARS).…”

Section: Data and Study Areamentioning

confidence: 99%

Evaluation of statistical models for rainfall at rars: Jagitial

Prem¹,

Rao²

2023

Int. J. Stat. Appl. Math.

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In general, the amount of rainfall and its frequency impacts agricultural, ecological, hydrological, economic and living systems. Rainfall is one of the important factors in agriculture. It plays a major role in the growth and development of the crop starting from germination to harvesting. Change in pattern of rainfall will lead to unexpected responses from plant. Thus, farmers in India were facing problems, as most of the crops grown under rainfed condition. Since precipitation is unpredictable, the present study was undertaken to analyse the distribution pattern of rainfall and to know effect of other weather parameters like maximum and minimum temperature, relative humidity, evaporation etc. on rainfall. The latest 31 years secondary data pertaining to weather parameters was collected from RARS, Jagitial, Telangana. For the convenience of analysis data has been divided into 3 major data sets viz. Annual, Monsoon seasonal months and Standard Meteorological weeks. The results based on Kolmogorov Smirnov and RMSE tests indicated Exponential distribution was best fitted distribution for most of the data sets. Exponential distribution was best fit for annual and seasonal months, while for SMW's Exponential and Pearson type III were best fitted.

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Trend analysis and change point detection of rainfall of Andhra Pradesh and Telangana, India

Cited by 12 publications

References 3 publications

Climatic and Fruit Productivity Trends in Solan District, Himachal Pradesh, India

Climatic and Fruit Productivity Trends in Solan District, Himachal Pradesh, India

Re-evaluating soil moisture-based drought criteria for rainfed crops in peninsular India

Evaluation of statistical models for rainfall at rars: Jagitial

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