Your search found 18 records
1 Rao, G. V. V.; Williams, T. T. 1975. Sequential optimization of multiple non-monetary objectives in integrated operation of reservoir systems. Reprinted from Proceedings of Second World Congress, International Water Resources Association, New Delhi, India, 1975. 11 p.
(Location: IWMI-HQ Call no: 631.7.1 G458 RAO Record No: H01380)
2 McKinney, M. J. 1990. State water planning: A forum for proactively resolving water policy disputes. Water Resources Bulletin, 26(2):323-331.
(Location: IWMI-HQ Call no: PER Record No: H06293)
3 Schaab, W. C. 1983. Prior appropriation, impairment, replacements, models and markets. Natural Resources Journal, 23(1):25-51.
(Location: IWMI-HQ Call no: P 2886 Record No: H013226)
4 ASAE. 1986. Water resources law: Proceedings of the National Symposium on Water Resources Law, Hyatt Regency, Chicago, Illinois, 15-16 December 1986. St. Joseph, MI, USA: ASAE. viii, 243p. (ASAE publication 10-86)
(Location: IWMI-HQ Call no: 333.91 G430 ASA Record No: H017406)
5 Gould, G. A. 1986. Water law in 1986: Selected issues. In ASAE, Water resources law: Proceedings of the National Symposium on Water Resources law, Hyatt Regency, Chicago, Illinois, 15-16 December 1986. St. Joseph, MI, USA: ASAE. pp.2-18.
(Location: IWMI-HQ Call no: 333.91 G430 ASA Record No: H017407)
6 Waddington, R. E. 1986. Why not consistency in water law? In ASAE, Water resources law: Proceedings of the National Symposium on Water Resources law, Hyatt Regency, Chicago, Illinois, 15-16 December 1986. St. Joseph, MI, USA: ASAE. pp.20-37.
(Location: IWMI-HQ Call no: 333.91 G430 ASA Record No: H017408)
7 Thorson, J. E.; Bond, S. A. 1986. The prior appropriation doctrine under stress: The Montana case study. In ASAE, Water resources law: Proceedings of the National Symposium on Water Resources law, Hyatt Regency, Chicago, Illinois, 15-16 December 1986. St. Joseph, MI, USA: ASAE. pp.50-58.
(Location: IWMI-HQ Call no: 333.91 G430 ASA Record No: H017411)
8 Campbell, K. L. (Ed.) 1995. Versatility of wetlands in the agricultural landscape. St. Joseph, MI, USA: ASAE. xii, 755p.
(Location: IWMI-HQ Call no: 333.91 G000 CAM Record No: H018644)
Proceedings of the International Conference jointly sponsored and planned by ASAE and AWRA, Hyatt Regency, Tampa, Florida, USA, 17-20 September 1995
(Location: IWMI-HQ Call no: P 4294 Record No: H018980)
(Location: IWMI-HQ Call no: PER Record No: H023015)
11 Sanford, P.; Cahoon, J.; Hughes, T. 1998. Modeling a concrete block irrigation diversion system. Journal of the American Water Resources Association, 34(5):1179-1187.
(Location: IWMI-HQ Call no: PER Record No: H023790)
12 Aase, J. K.; Pikul, J. L. 2000. Water use in a modified summer fallow system on semiarid northern Great Plains. Agricultural Water Management, 43(3):345-357.
(Location: IWMI-HQ Call no: PER Record No: H025893)
13 Smith, Z. 1995. Managing water in the western United States: Lessons for India. In Moench, M. (Ed.), Groundwater law: The growing debate. Ahmedabad, India: VIKSAT. pp.122-142.
(Location: IWMI-HQ Call no: 631.7.3 G635 MOE Record No: H027688)
14 Kauffman, G. J. 2002. What if … the United States of America were based on watersheds? Water Policy, 4(1):57-68.
(Location: IWMI-HQ Call no: PER Record No: H030192)
15 Holnbeck, S. R.; Parrett, C. 1996. Procedures for estimating unit hydrographs for large floods at ungaged sites in Montana. Washington, DC, USA: United States Government Printing Office. 59p. (U.S. Geological Survey Water-Supply Paper 2420)
(Location: IWMI HQ Call no: P 8070 Record No: H044293)
(0.36 MB)
16 Seckler, D. 2015. Flotsam: some adventures from my life. Lexington, KY, USA: Author. 340p.
(Location: IWMI HQ Call no: 920 G000 SEC Record No: H047920)
(0.25 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H049690)
(1.53 MB) (1.53 MB)
Data-driven irrigation planning can optimize crop yield and reduce adverse impacts on surface and ground water quality. We evaluated an irrigation scheduling strategy based on soil matric potentials recorded by wireless Watermark (WM) sensors installed in sandy loam and clay loam soils and soil-water characteristic curve data. Five wireless WM nodes (IRROmesh) were installed at each location, where each node consisted of three WM sensors that were installed at 15, 30, and 60 cm depths in the crop rows. Soil moisture contents, at field capacity and permanent wilting points, were determined from soil-water characteristic curves and were approximately 23% and 11% for a sandy loam, and 35% and 17% for a clay loam, respectively. The field capacity level which occurs shortly after an irrigation event was considered the upper point of soil moisture content, and the lower point was the maximum soil water depletion level at 50% of plant available water capacity in the root zone, depending on crop type, root depth, growth stage and soil type. The lower thresholds of soil moisture content to trigger an irrigation event were 17% and 26% in the sandy loam and clay loam soils, respectively. The corresponding soil water potential readings from the WM sensors to initiate irrigation events were approximately 60 kPa and 105 kPa for sandy loam, and clay loam soils, respectively. Watermark sensors can be successfully used for irrigation scheduling by simply setting two levels of moisture content using soil-water characteristic curve data. Further, the wireless system can help farmers and irrigators monitor real-time moisture content in the soil root zone of their crops and determine irrigation scheduling remotely without time consuming, manual data logging and frequent visits to the field
(Location: IWMI HQ Call no: e-copy only Record No: H051058)
(1.70 MB)
Climate is changing in ways that may significantly affect the provision of hydrologic ecosystem services in arid or semi-arid regions. To answer this challenge, there has been an effort to increase the adaptive capacity of organizations that manage water and the land-uses water supports. Governmental and non-governmental organizations (NGOs) managing large landscapes in the United States Northern Rockies region have access to a variety of water decision-support tools, such as indicators of precipitation and snowpack, which could increase their adaptive capacity to manage hydrologic ecosystem services under changing conditions. Yet little is known about the use of decision-support tools in this region and how tools could be improved. With the aim of informing future tool development and addressing information-use gaps, we conducted semi-structured interviews with representatives of federal and state agencies and NGOs to 1) identify which tools are being used, 2) describe tool-supported management actions across different types of organizations, and 3) determine “usability” criteria managers consider when adopting a climate tool. Through qualitative analysis, we found multiple types of tools being used, including processes and frameworks, data and models, and geospatial or web-based tools. We also identified several criteria that study participants used to assess whether or not to use a tool within their organization, including tool accuracy, robustness, extendibility, interpretability, capacity, and institutional fit. This study suggests that increased communication between tool developers and end-users, with a focus on tools’ relevance and ability to support management actions, could improve tools and increase the adaptive capacity of users. This research also points to the need for multiple lines of future research including how to improve the fit between organizational goals and water tools.
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