Your search found 7 records
1 Kashyap, D.; Rao, K. M. M.; Chandra, S. 1986. Evaluation of a soil moisture accounting model for estimation of return flow. In Regional Workshop on Groundwater Modelling, Roorkee, 12-17 December 1986. Roorkee, India: Water Resources Development Training Center, University of Roorkee. pp.203-217.
Groundwater ; Soil moisture ; Mathematical models ; Flow / India
(Location: IWMI-HQ Call no: 631.7.6.3 G635 REG Record No: H02947)

2 Mohan Rao, K. M.; Kashyap, D.; Chandra, S. 1990. Relative performance of a soil moisture accounting model in estimating return flow. Journal of Hydrology, 115(1-4):231-241.
Soil moisture ; Soil water relations ; Groundwater ; Recharge
(Location: IWMI-HQ Call no: PER Record No: H06535)

3 Ahmad, S.; Kashyap, D.; Mathur, B. S. 1991. Numerical modeling of two dimensional transient flow to ditches. Journal of Irrigation and Drainage Engineering, 117(6):839-869.
Water transfer ; Drains ; Mathematical models
(Location: IWMI-HQ Call no: PER Record No: H09484)

4 Ahmad, S.; Kashyap, D.; Mathur, B. S. 1993. Mathematical modeling of saturated-unsaturated flow to drains. Irrigation and Drainage Engineering, 119(1):18-33.
Surface drainage ; Mathematical models ; Water table
(Location: IWMI-HQ Call no: PER Record No: H012115)

5 Swamee, P. K.; Kashyap, D.. 2001. Design of minimum seepage-loss nonpolygonal canal sections. Journal of Irrigation and Drainage Engineering, 127(2):113-117.
Seepage loss ; Irrigation canals ; Design ; Mathematical models
(Location: IWMI-HQ Call no: PER Record No: H028014)

6 Verma, Shilp; Kashyap, D.; Shah, Tushaar; Crettaz, M.; Sikka, Alok. 2018. Solar Irrigation for Agriculture Resilience (SoLAR): a new SDC [Swiss Agency for Development and Cooperation]-IWMI regional partnership. Colombo, Sri Lanka: International Water Management Institute (IWMI). 16p. (IWMI-Tata Water Policy Program Discussion Paper 3: SDC-IWMI Special Issue) [doi: https://doi.org/10.5337/2019.003]
Solar energy ; Irrigation methods ; Energy consumption ; Groundwater irrigation ; Climate change ; Nexus ; Agricultural productivity ; Resilience ; Water use ; Water governance ; Partnerships ; Pumps ; Costs ; Subsidies ; Energy conservation ; Electricity ; Farmers ; Living standards ; Rural poverty / South Asia / India / Pakistan / Bangladesh / Nepal / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H049194)
http://www.iwmi.cgiar.org/iwmi-tata/PDFs/iwmi-tata_water_policy_discussion_paper_issue_03_2018.pdf
(1.60 MB)

7 Kashyap, D.; Agarwal, T. 2021. Carbon footprint and water footprint of rice and wheat production in Punjab, India. Agricultural Systems, 186:102959. [doi: https://doi.org/10.1016/j.agsy.2020.102959]
Carbon footprint ; Water footprint ; Crop production ; Rice ; Wheat ; Irrigated farming ; Crop residues ; Nitrogen fertilizers ; Policies ; Assessment ; Greenhouse gas emissions ; Mitigation ; Water use ; Groundwater irrigation ; Agroclimatic zones ; Models ; Farm surveys / India / Punjab
(Location: IWMI HQ Call no: e-copy only Record No: H050133)
https://vlibrary.iwmi.org/pdf/H050133.pdf
(1.80 MB)
Carbon footprint and water footprint assessments can be powerful tools to guide sustainable food production systems. The present study simultaneously quantified the carbon footprint (CF) and water footprint (WF) of rice and wheat production in the five agro-climatic zones of Punjab, India using farm survey data. Further, the variability in CF among the five agro-climatic zones and farm sizes was analysed. The carbon footprint per unit area of rice and wheat was found to be 8.80 ± 5.71 and 4.18 ± 1.13 t CO2eq/ha respectively. The CF per tonne of rice and wheat was 1.20 ± 0.70 and 0.83 ± 0.23 t CO2eq/t respectively. Large farms had 39% lower CF per tonne of rice compared to small farms. Residue burning, direct methane emissions and fertilizer use were the most important factors that contributed to the CF of rice and wheat production in Punjab. Nitrogen fertilizer use was identified as the major hotspot for mitigation. The average WF of rice and wheat was found to be 1097 and 871 m3/t respectively. A disparity between CROPWAT estimates of blue WF and actual blue water use was established indicating the need for actual blue WF accounting, particularly for flood irrigated crop production. Additionally, policy measures based on ground situation are discussed and the major role of local government policies in mitigating carbon and water footprint is highlighted.

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