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Kumar, Rohitashw
- Climate Change is Affecting Apple Cultivation in Himachal Pradesh
Abstract Views :313 |
PDF Views:84
Authors
Affiliations
1 Department of Plant Pathology, Dr Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan 173 230, IN
2 Division of Agricultural Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 191 121, IN
1 Department of Plant Pathology, Dr Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan 173 230, IN
2 Division of Agricultural Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 191 121, IN
Source
Current Science, Vol 106, No 4 (2014), Pagination: 498-499Abstract
No Abstract.Full Text
- Effect of El Nino on Southwest Monsoon Rainfall and Agriculture in India
Abstract Views :249 |
PDF Views:85
Authors
Affiliations
1 Department of Plant Pathology, Dr Y.S. Parmar University of Horticulture and Forestry, Nauni 173 230, IN
2 Department of Economics, Government Degree College, Barsar, District Hamirpur 174 305, IN
3 Division of Agricultural Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 191 121, IN
4 Department of Vegetable Science, Dr Y.S. Parmar University of Horticulture and Forestry, Nauni 173 230, IN
1 Department of Plant Pathology, Dr Y.S. Parmar University of Horticulture and Forestry, Nauni 173 230, IN
2 Department of Economics, Government Degree College, Barsar, District Hamirpur 174 305, IN
3 Division of Agricultural Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 191 121, IN
4 Department of Vegetable Science, Dr Y.S. Parmar University of Horticulture and Forestry, Nauni 173 230, IN
Source
Current Science, Vol 107, No 11 (2014), Pagination: 1778-1779Abstract
No Abstract.Full Text
- Evaluation of Non-Linear Root Water Uptake Model Under Different Agro-Climates
Abstract Views :227 |
PDF Views:81
Authors
Affiliations
1 Civil Engineering Department, National Institute of Technology, Hamirpur 177 055, IN
2 College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar 190 025, IN
3 Civil Engineering Department, Malaviya National Institute of Technology, Jaipur (Raj), Jaipur 302 017, IN
1 Civil Engineering Department, National Institute of Technology, Hamirpur 177 055, IN
2 College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar 190 025, IN
3 Civil Engineering Department, Malaviya National Institute of Technology, Jaipur (Raj), Jaipur 302 017, IN
Source
Current Science, Vol 119, No 3 (2020), Pagination: 485-496Abstract
The present study examines the effectiveness of a nonlinear ischolar_main water uptake (RWU) model for different agro-climates. Evaluation of O-R model is performed for three agro-climates considering secondary data of Roorkee (semi-arid), Solan (sub-temperate subhumid) and primary data of Hamirpur (humid subtropical region). Field experiments on maize (Zea mays), Indian mustard (Brassica Juncea) and wheat (Triticum aestivum) were conducted at different locations. The RWU model with a numerical simulation was developed for predicting moisture movement in the crop ischolar_main zone. The predicted results were compared with the observed field data. Qualitative and quantitative evaluations were performed on the basis of soil moisture profile in the crop ischolar_main zone, soil moisture depletion and soil moisture variation during crop period at different ischolar_main zone depths. The model-predicted and field-observed values were found to be in strong agreement for all the parameters indicating the efficacy of the numerical model coupled with nonlinear RWU model in predicting soil moisture dynamics in ischolar_main zone.Keywords
Crop Root Zone, Crop Evapotranspiration, Lysimeter, Numerical Model, O-R Model.Full Text
- Public perception of flood risks and warnings in the flood-prone Kashmir Valley, India
Abstract Views :215 |
PDF Views:83
Authors
Affiliations
1 Division of Soil and Water Conservation Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar 190 025, IN
2 Division of Irrigation and Drainage Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar 190 025, IN
3 Department of Farm Machinery and Power Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad 211 007, IN
1 Division of Soil and Water Conservation Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar 190 025, IN
2 Division of Irrigation and Drainage Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar 190 025, IN
3 Department of Farm Machinery and Power Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad 211 007, IN
Source
Current Science, Vol 122, No 5 (2022), Pagination: 591-599Abstract
Floods are the most recurrent of all natural disasters in Kashmir Valley, Jammu and Kashmir, India, affecting both society and economy. Despite various efforts to prevent loss of lives and assets during floods, a crucial component of flood management, i.e. how the inhabitants perceive flood risk, is not well-known in the region. A questionnaire-based survey was conducted in flood-prone regions of the Valley to gain information on how public understands the risk of flooding in their area, their flood preparedness, knowledge about floods and the trust in various institutions for managing floods and disseminating flood warnings. Respondent demographics was then linked with their answers to establish potential correlations. Responses illustrate that the respondents consider floods as the most important natural disaster in the Valley and most of them mention that the risk is increasing. Results show that the respondents have average knowledge regarding floods, flood protection measures and emergency actions in case of floods. At the individual level, they had not taken adequate steps for safeguarding themselves or their families against floods. The characteristics of respondents namely age, gender, income, education level and previous experience with floods showed statistically significant correlations with the responses. In general, the findings of the study call for better education of the inhabitants regarding flood risks and management actions as well as improvement of existing methods of flood forecasting and warning in the region.Keywords
Flood forecasting and warning, public perception, question-based survey, risk estimation.Full Text
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