Your search found 4 records
1 Latif, M.; Sarwar, S.. 1994. Proposal for equitable water allocation for rotational irrigation in Pakistan. Irrigation and Drainage Systems, 8(1):35-48.
(Location: IWMI-HQ Call no: PER Record No: H015511)
2 Sarwar, S.; Nafees, H. M.; Shafique, M. S. 1997. Fluctuations in canal water supplies: a case study. Lahore, Pakistan: International Irrigation Management Institute (IIMI). Pakistan National Program. vi, 72p. (IWMI Pakistan Report R-027 / IIMI Pakistan Report R-027) [doi: https://doi.org/10.3910/2009.445]
Irrigation management ; Water allocation ; Canals ; Water distribution ; Water supply ; Performance evaluation ; Irrigated farming ; Irrigation systems / Pakistan / Chishtian Sub-Division / Fordwah Distributary
(Location: IWMI HQ Call no: IIMI 631.7.1 G730 SAR Record No: H009211)
https://publications.iwmi.org/pdf/H_9211i.pdf
https://vlibrary.iwmi.org/pdf/H009211.pdf
https://vlibrary.iwmi.org/pdf/H009211.pdf
https://vlibrary.iwmi.org/pdf/H009211.pdf
https://vlibrary.iwmi.org/pdf/H009211.pdf
(3.25 MB)
3 Shafiq, M.S.; Sarwar, S.; Asghar, M. N.; Amin, A.; IIMI. Pakistan National Program. 1998. Method of shallow corrugations for the sowing and irrigation of close growing crops on flat basin. Lahore, Pakistan: International Irrigation Management Institute (IIMI). Pakistan National Program. 6p.
(Location: IWMI-HQ Call no: IIMI 631.7.1 G730 IIM Record No: H023011)
4 Bhatti, Muhammad Tousif; Balkhair, K. S.; Masood, A.; Sarwar, S.. 2018. Optimized shifts in sowing times of field crops to the projected climate changes in an agro-climatic zone of Pakistan. Experimental Agriculture, 54(2):201-213. [doi: https://doi.org/10.1017/S0014479716000156]
Climate change ; Agroclimatic zones ; Sowing date ; Farmland ; Cotton industry ; Wheats ; Emission ; Temperature ; Rain ; Water requirements ; Water availability ; Water supply ; Agriculture ; Precipitation ; Irrigation canals / Pakistan
(Location: IWMI HQ Call no: e-copy only Record No: H047487)
(0.43 MB)
This paper evaluates 30-year (2013–2042) projections of the selected climatic parameters in cotton/wheat agro-climatic zone of Pakistan. A statistical bias correction procedure was adopted to eliminate the systematic errors in output of three selected general circulationmodels (GCM) under A2 emission scenario. A transfer function was developed between the GCM outputs and the observed time series of the climatic parameters (base period: 1980–2004) and applied to GCM future projections. The predictions detected seasonal shifts in rainfall and increasing temperature trend which in combination can affect the crop water requirements (CWR) at different phonological stages of the two major crops (i.e. wheat and cotton). CROPWAT model is used to optimize the shifts in sowing dates as a climate change adaptation option. The results depict that with reference to the existing sowing patterns, early sowing of wheat and late sowing of cotton will favour decreased CWR of these crops.
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