Your search found 22 records
1 Ballentine, T. M.; Stakhiv, E. Z. (Eds.) 1993. Proceedings of the First National Conference on Climate Change and Water Resources Management. Alexandria, VA, USA: Institute for Water Resources. 425p. (IWR report 93-R-17)
Climate ; Agroclimatology ; Water management ; Water policy ; Hydrology ; Models ; Environmental effects ; Water supply ; Water quality ; River basins ; Legislation ; Water law / USA / Rio Grande Basin / Colorado River Basin / Texas / Boston / Delaware River Basin / Missouri / Minnesota
(Location: IWMI-HQ Call no: 630.2515 G430 BAL Record No: H019662)

2 Fausey, N. R.; Brown, L. C.; Belcher, H. W.; Kanwar, R. S. 1995. Drainage and water quality in Great Lakes and Cornbelt states. Journal of Irrigation and Drainage Engineering, 121(4):283-288.
Subsurface drainage ; Agricultural production ; Water quality / USA / Great Lakes / Illinois / Indiana / Iowa / Michigan / Minnesota / Missouri / Ohio / Wisconsin
(Location: IWMI-HQ Call no: PER Record No: H017103)

3 Scherer, T. F.; Slack, D. C.; Eshenaur, W. C. 1983. Automated data collection for irrigation scheduling using canopy-air temperature difference. Paper presented at the Winter Meeting, ASAE, Chicago, Illinois, 13-16 December 1983. 17p. (ASAE paper no.83-2587)
Irrigation scheduling ; Computer techniques ; Computer software ; Air quality ; Measuring instruments / USA / Minnesota
(Location: IWMI-HQ Call no: P 3994 Record No: H04124)
https://vlibrary.iwmi.org/pdf/H04124.pdf

4 Campbell, K. L. (Ed.) 1995. Versatility of wetlands in the agricultural landscape. St. Joseph, MI, USA: ASAE. xii, 755p.
Water resources ; Wetlands ; Decision support tools ; Water quality ; Case studies ; GIS ; Legislation ; Land use ; Hydrology ; Simulation ; Runoff ; Drainage ; Monitoring ; Models ; Flood control ; Paddy fields ; Ecology ; Aquifers ; Water balance ; Rice ; Environmental effects / USA / South Africa / Brazil / Southern Africa / Canada / Egypt / New Jersey / Florida / California / Montana / Indiana / Minnesota / Georgia / Nebraska / North Dakota / San Joaquin River / Kentucky / Oklahoma / Ontario / Siwa Oasis
(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

5 Nieber, J. L.; Nguyen, H. V.; Cooper, D. T.; Blaine, M. I.; King, J. S.; St. Ores, J. L. 1995. Modeling the benefits of best management practices on groundwater quality. In Clean water - Clean environment - 21st century: Team agriculture - Working to protect water resources: Conference proceedings, March 5-8, 1995, Kansas City, Missouri. Volume II: Nutrients. St. Joseph, MI, USA: ASAE. pp.147-150.
Simulation models ; Groundwater ; Water quality ; Nitrogen ; Leaching ; Crop yield / USA / Minnesota
(Location: IWMI-HQ Call no: 333.91 G000 CLE Record No: H018776)

6 Reicosky, D. C.; Lamb, J. A.; Dowdy, R. H. 1995. Impact of crop water use on groundwater quality. In Clean water - Clean environment - 21st century: Team agriculture - Working to protect water resources: Conference proceedings, March 5-8, 1995, Kansas City, Missouri. Volume III: Practices, systems and adoption. St. Joseph, MI, USA: ASAE. pp.211-214.
Groundwater ; Water quality ; Leaching ; Maize ; Soyabeans ; Plant growth ; Models ; Water use ; Irrigation water ; Water balance ; Evaporation / USA / Minnesota / Princeton
(Location: IWMI-HQ Call no: 333.91 G000 CLE Record No: H018795)

7 Anderson, J. L.; Dowdy, R. H.; Delin, G. N. 1991. Ground water impacts from irrigated ridge-tillage. In Ritter, W. F. (Ed.), Irrigation and drainage: Proceedings of the 1991 National Conference sponsored by the Irrigation and Drainage Division of the American Society of Civil Engineers and the Hawaii Section, ASCE, Honolulu, Hawaii, July 22-26, 1991. New York, NY, USA: ASCE. pp.604-610.
Groundwater ; Recharge ; Irrigation effects ; Tillage ; Water quality ; Water pollution ; Pesticide residues ; Fertilizers ; Aquifers ; Evaluation / USA / Minnesota
(Location: IWMI-HQ Call no: 631.7 G430 RIT Record No: H019918)

8 Nguyen, H. V.; Nieber, J. L.; Misra, D. 1996. Modeling BMP impacts on ground water quality. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.762-768.
Percolation ; Evapotranspiration ; Nitrogen ; Leaching ; Models ; Crop yield ; Lysimetry / USA / Minnesota
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020659)

9 1991. Preventive Veterinary Medicine. Special issue: application of remote sensing to epidemiology and parasitology. 11(3/4):159-376.
Livestock ; Animal husbandry ; Remote sensing ; GIS ; Satellite surveys ; Public health ; Malaria ; Disease vectors ; Waterborne diseases ; Paddy fields ; Rice ; Computer techniques / Africa / USA / Mexico / China / Zimbabwe / Illinois / Minnesota / North Carolina / Florida
(Location: IWMI-HQ Call no: P 5090 Record No: H024037)

10 Daniel, J. A.; Staricka, J. A. 2000. Frozen soil impact on ground water - surface water interaction. Journal of the American Water Resources Association, 36(1):151-160.
Groundwater ; Recharge ; Surface water ; Soil properties ; Water table ; Wells ; Infiltration ; Water distribution / USA / Canada / Minnesota / Stevens County / Swan Lake Watershed
(Location: IWMI-HQ Call no: PER Record No: H026249)

11 Wildung, D. K.; Wright, J. 2000. Microirrigation of blueberries in Minnesota. Irrigation Journal, 50(3):27-28.
Horticulture ; Sprinkler irrigation ; Supplementary irrigation ; Soil moisture ; Soil water ; Rain / USA / Minnesota
(Location: IWMI-HQ Call no: PER Record No: H026281)

12 Napier, T. L. 2000. Use of soil and water protection practices among farmers in the north central region of the United States. Journal of the American Water Resources Association, 36(4):723-735.
Watersheds ; Water pollution ; Erosion ; Agricultural production ; Soil conservation ; Water conservation ; Farm management / USA / Iowa / Ohio / Minnesota / Darby Creek Watershed / Maquoketa Watershed
(Location: IWMI-HQ Call no: PER Record No: H026817)

13 Shultz, S. D.; Fridgen, P. M. 2001. Floodplains and housing values: Implications for flood mitigation projects. Journal of the American Water Resources Association, 37(3):595-603.
Flood plains ; River basins ; Flood control ; Water resource management ; Planning / USA / North Dakota / Fargo / Minnesota / Moorhead / Red River
(Location: IWMI-HQ Call no: PER Record No: H029176)

14 Winter, T. C. 2001. The concept of hydrologic landscapes. Water Resources Journal, 211:25-41.
Water resources ; Groundwater ; Surface water ; Hydrology ; Watershed management ; Surface runoff ; Water table ; Evapotranspiration ; Precipitation / USA / Minnesota / Crow Wing River Watershed
(Location: IWMI-HQ Call no: PER Record No: H029578)

15 Vondracek, B.; Zimmerman, J. K. H.; Westra, J. V. 2003. Setting an effective TMDL: Sediment loading and effects of suspended sediment on fish. Journal of the American Water Resources Association, 39(5):1005-1015.
Watersheds ; Fish ; Sedimentary materials ; Watercourses ; Rivers ; Water pollution ; Simulation / USA / Minnesota / Chippewa River / Wells Creek
(Location: IWMI-HQ Call no: PER Record No: H034868)

16 Wang, L.; Kanehl, P. 2003. Influences of watershed urbanization and instream habitat on macroinvertebrates in cold water streams. Journal of the American Water Resources Association, 39(5):1181-1196.
Watershed management ; Urbanization ; Water pollution ; Land use ; Water quality ; Statistical analysis ; Environmental effects / USA / Wisconsin / Minnesota
(Location: IWMI-HQ Call no: PER Record No: H034880)

17 Nangia, V. 2005. Field and watershed scale evaluation of water quality trends due to changes in landscape and management practices. Dissertation submitted to the Faculty of the Graduate School of the University of Minnesota, for the Ph.D. in Water Resources Science. xiv, 137p.
Water quality ; Models ; Calibration ; Hydrology ; Watersheds ; Water budget ; Nitrogen ; Water table ; Fertilizers ; Nitrate ; Drainage ; Drains ; Tillage ; Cropping systems / USA / Minnesota / Nicollet County / Seven Mile Creek Watershed / Mississippi
(Location: IWMI-HQ Call no: D 333.91 G430 NAN Record No: H038430)
https://vlibrary.iwmi.org/pdf/h038430.pdf

18 Nangia, Vinya. 2006. Evaluation of a GIS-based watershed modeling approach for sediment transport. Thesis. A Capstone Project submitted to the Faculty of the Graduate School of the University of Minnesota in partial fulfillment of the requirements for the Degree of Master of Geographic Information Science. 45p.
Watershed management ; Hydrology ; Models ; GIS ; Erosion / USA / Minnesota / Chippewa River Watershed / Shakopee Creek Basin / Dry Weather Creek Basin
(Location: IWMI-HQ Call no: IWMI 333.91 G000 NAN Record No: H039757)
https://vlibrary.iwmi.org/pdf/H039757.pdf

19 Nangia, Vinay; Gowda, P. H.; Mulla, D. J.; Sands, G. R. 2008. Water quality modeling of fertilizer management impacts on nitrate losses in tile drains at the field scale. Journal of Environmental Quality, 37(2):296-307.
Water quality ; Simulation models ; Calibration ; Fertilizer application ; Nitrogen fertilizers ; Soyabeans ; Maize ; Subsurface drainage / USA / Gulf of Mexico / Mississippi River / Minnesota
(Location: IWMI HQ Call no: IWMI 631.8 G430 NAN Record No: H040829)
http://jeq.scijournals.org/cgi/reprint/37/2/296
https://vlibrary.iwmi.org/pdf/H040829.pdf
Nitrate losses from subsurface tile drained row cropland in the Upper Midwest U.S. contribute to hypoxia in the Gulf of Mexico. Strategies are needed to reduce nitrate losses to the Mississippi River. This paper evaluates the effect of fertilizer rate and timing on nitrate losses in two (East and West) commercial row crop fields located in south-central Minnesota. The Agricultural Drainage and Pesticide Transport (ADAPT) model was calibrated and validated for monthly subsurface tile drain flow and nitrate losses for a period of 1999–2003. Good agreement was found between observed and predicted tile drain flow and nitrate losses during the calibration period, with Nash-Sutcliff e modeling efficiencies of 0.75 and 0.56, respectively. Better agreements were observed for the validation period. The calibrated model was then used to evaluate the effects of rate and timing of fertilizer application on nitrate losses with a 50-yr climatic record (1954–2003). Significant reductions in nitrate losses were predicted by reducing fertilizer application rates and changing timing. A 13% reduction in nitrate losses was predicted when fall fertilizer application rate was reduced from 180 to 123 kg/ha. A further 9% reduction in nitrate losses can be achieved when switching from fall to spring application. Larger reductions in nitrate losses would require changes in fertilizer rate and timing, as well as other practices such as changing tile drain spacings and/or depths, fall cover cropping, or conversion of crop land to pasture.

20 Cho, Y.; Konishi, C.; Easter, W. 2007. Can rural communities comply with the new arsenic standard for drinking water? St. Paul, MN, USA: University of Minnesota. College of Food, Agricultural and Natural Resource Sciences. Department of Applied Economics. 35p. (University of Minnesota Staff Paper P07-16)
Drinking water ; Arsenic ; Health hazards ; Water supply ; Water quality ; Surveys ; Households ; Costs / USA / Minnesota
(Location: IWMI HQ Call no: e-copy only Record No: H041531)
http://ageconsearch.umn.edu/bitstream/7353/2/p07-16.pdf
https://vlibrary.iwmi.org/pdf/H041531.pdf
(0.47 MB)
Our primary concern in this paper is to determine to what extent small communities have difficulty meeting the new stricter 2001 standard for arsenic levels in their drinking water. To do this we survey water users in rural Minnesota communities that had arsenic levels in their water supply exceeding 10 µg/L during 2001-2006. Our survey results show that after obtaining complete information concerning the arsenic levels in their drinking water consumers with relatively low levels of arsenic were willing to pay $8-9 annually, while those with high levels of arsenic are willing to pay $15-17 annually. We also found that consumer’s willingness to pay (WTP) didn’t vary by community size. Thus, we conclude that compared to compliance costs ($58-327 per capita annually) small rural communities were likely to find it dfficult to cover the cost of compliance through increased water charges. Since many of the communities have to cover these costs of compliance by raising water charges, we ask the basic question: are there better treatment options for these rural communities that will lower the cost to consumers? One option might be to encourage individual householders to use houesHld water treatment devices for communities serving fewer than 500 people. The
devices could be made available by the local entity supplying the community’s water possibly
at a subsidized rate along with complete information about the arsenic level in the water
supply.

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