Abstract
Rainfall trend analysis in north-west India
Highlights
Twenty two meteorological stations of N-W India comprising comprising of Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Punjab, Haryana, Chandigarh, Delhi, western Uttar Pradesh and north parts of Rajasthan were selected for the study.The daily rainfall data for the period of 35 years (1980-2014) of different stations were collected from India Meteorological Department), Central Research Institutes for Dry Land Agriculture (CRIDA), revenue departments, StateAgricultural Universities (SAUs), Regional Research Stations (RRS), Regional Horticultural Research Stations etc
The normal rainfall was more than 1000 mm at eight stations (Patiala, Chandigarh, Solan, Jammu, Manali, Ranichauri, Shimla and Palampur)
The slope of rainfall trend line was negative at Srinagar, Solan, Jammu, Chandigarh, Saharanpur, Karnal, Ludhiana, Bawal and Ganganagar and positive at Manali, Shimla, Palampur, Ranichauri,Ambala, Delhi, Patiala, Rohtak, Bathinda, Hisar, Sirsa, Narnaul and Jaipur
Summary
North-west India with diverse soil and climate comprising different agro-ecological regions provides ample opportunity to grow a variety of horticultural crops which form a significant part of total agricultural produce in the country.Punjab and Haryana are largest contributor to India’s central pool of food grains and good producer of subtropical fruits (mango, ber, guava, citrus and litchi) and some temperate fruits (pear, peaches, plum, pomegranate etc) while Jammu & Kashmir, Himachal Pradesh, Uttarakhand are the largest producer of temperate fruits (apple, apricot, pear, peach, plum and cherry) in India.A comprehensive studies carried over NW Himalayas revealed that the change in winter precipitation is minimum but there is significant decrease in monsoon precipitation (Bhutiyani, et al, 2007). Twenty two meteorological stations of N-W India comprising comprising of Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Punjab, Haryana, Chandigarh, Delhi, western Uttar Pradesh and north parts of Rajasthan were selected for the study.The daily rainfall data for the period of 35 years (1980-2014) of different stations were collected from India Meteorological Department), Central Research Institutes for Dry Land Agriculture (CRIDA), revenue departments, StateAgricultural Universities (SAUs), Regional Research Stations (RRS), Regional Horticultural Research Stations etc. Statistical measures like standard deviation, coefficient of variation, slope, standard error, probability (p) of standard error, t-values, correlation coefficientwere computed using ‘OP Stat” software
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