Your search found 7 records
1 Fareed, M. 1992. Irrigation-water management in tea. In Feyen, J.; Mwendera, E.; Badji, M. (Eds.), Advances in planning, design and management of irrigation systems as related to sustainable land use: Proceedings of an International Conference organized by the Center for Irrigation Engineering of the Katholieke Universiteit Leuven in cooperation with the European Committee for Water Resources Management, Leuven, Belgium, 14-17 September 1992. Vol. 2. Leuven, Belgium: Center for Irrigation Engineering. pp.667-679.
(Location: IWMI-HQ Call no: 631.7.1 G000 FEY Record No: H014447)
2 Srivastava, J. P.; Reinhard, C. 1996. Agricultural knowledge systems in the transitioning economies: A survey of World Bank experiences. Washington, DC, USA: CGIAR. vi, 140p.
(Location: IWMI-HQ Call no: 630.72 G810 SRI Record No: H020074)
3 FAO. 1997. Irrigation in the countries of the former Soviet Union in figures. Rome, Italy: FAO. ix, 226p. (FAO Water Reports 15)
(Location: IWMI-HQ Call no: 631.7.8 G867 FAO Record No: H022855)
4 Morgounov, A.; Zuidema, L. 2001. The legacy of the Soviet Agricultural Research System for the republics of Central Asia and the Caucasus. The Hague, Netherlands: ISNAR. xi, 52p. (ISNAR research report no.20)
(Location: IWMI-HQ Call no: 630.72 G867 MOR Record No: H028684)
5 Arsel, M.; Spoor, M. (Eds.) 2010. Water, environmental security and sustainable rural development: conflict and cooperation in Central Eurasia. London, UK: Routledge. 284p. (Routledge ISS Studies in Rural Livelihoods)
(Location: IWMI HQ Call no: 333.91 G805 ARS Record No: H042593)
(0.27 MB)
6 Umirbekov, A.; Rakhmatullaev, S.; Bobojonov, I.; Akhmedov, S. 2020. Climate vulnerability, infrastructure, finance and governance in CAREC [Central Asia Regional Economic Cooperation] Region. Research report. Urumqi, China: Central Asia Regional Economic Cooperation (CAREC) Institute. 83p.
(Location: IWMI HQ Call no: e-copy only Record No: H049760)
(2.45 MB) (2.45 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H051621)
(6.92 MB)
By combining information on nutrient output from the Soil & Water Assessment Tool (SWAT) and secondary data on local profits from different crop types, we devise a profit maximization problem subject to dynamic water quality constraints, which become gradually more restrictive over time. The solution aims to detect the optimal allocation of land parcels by crop type that maximizes the total net present value of landowner profits throughout the watershed. Over a nine-year time span, our model construct is applied to the Little River Experimental Watershed (LREW) in South Georgia. Water quality constraints involve the landowner adhering to specific permittable limits on numeric nutrient criteria recorded at the watershed outlet under various scenarios, including i) NO3–N constraints, ii) total phosphorus (P) constraints, and iii) concurrent NO3–N and P constraints. In the most extreme case, a reduction in aggregate profits of $24.1 million and $8.1 million was observed for combined NO3– N and P constraints relative to commensurate solo constraints on NO3–N and P, respectively. The Designing Watersheds for Integrated Development (DWID) model could support policymaking for ascertaining trade-offs between economics and water quality channelized through direct and indirect land use change considering environmental regulations in Georgia and beyond.
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