Your search found 4 records
1 Cotroneo, G. V.; Rumer, R. R. (Eds.) 1994. Hydraulic engineering '94. Vol.1: Proceedings of the 1994 Conference, Buffalo, New York, August 1-5, 1994. New York, NY, USA: ASCE. xxii, 726p.
Hydraulics ; Design ; Hydrology ; Flood control ; Irrigation canals ; Models ; Reservoir operation ; Optimization ; Forecasting ; GIS ; Water quality ; Watersheds ; Groundwater management ; Aquifers ; Models ; Sedimentation ; Water resources ; Rivers ; Wetlands / USA / Bangladesh / India / Taiwan / Mississippi River Basin / Lake Ontario / Lake Michigan / Louisiana / Missouri River / North Carolina / New York / Rio Grande River Basin / Great Lakes Region / Arizona / St. Marys River / Havana / Hotophia Creek / Farakka / Taipei Basin
(Location: IWMI-HQ Call no: 627 G000 COT Record No: H019279)
2 Changnon, S. A. 1998. The historical struggle with floods on the Mississippi River Basin: Impacts of recent floods and lessons for future flood management and policy. Water International, 23(4):263-271.
River basins ; Flood plains ; Flood control ; Policy ; Environmental effects ; Water quality ; History ; Natural disasters ; Economic impact ; Social impact / USA / Mississippi River Basin
(Location: IWMI-HQ Call no: PER Record No: H024017)
3 Mitsch, W. J. 2005. Applying science to conservation and restoration of the world's wetlands. Water Science and Technology, 51(8):13-26.
Wetlands ; Ecology ; Engineering / USA / Denmark / Delaware Bay / Florida Everglades / Louisiana / Mississippi River Basin / Mesopotamian Marshlands / Skjern River
(Location: IWMI-HQ Call no: PER Record No: H037406)
4 Leh, Mansoor D.K.; Sharpley, A. N.; Singh, G.; Matlock, M. D. 2018. Assessing the impact of the MRBI [Mississippi River Basin Healthy Watersheds Initiative] program in a data limited Arkansas Watershed using the SWAT model. Agricultural Water Management, 202:202-219. [doi: https://doi.org/10.1016/j.agwat.2018.02.012]
Watersheds ; Resource conservation ; Best practices ; Development programmes ; Water quality ; Stream flow ; Ponds ; Wetlands ; Soils ; Land use ; Simulation models ; Crop management ; Cover plants ; Grassland management ; Forage ; Biomass production / USA / Arkansas / Lake Conway Point Remove Watershed / Mississippi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048717)
(1.36 MB)
The USDA Natural Resources Conservation Service (NRCS) developed the Mississippi River Basin Healthy Watersheds Initiative (MRBI) program to improve the health, water quality and wildlife habitat within the Mississippi River Basin. Lake Conway Point Remove (LCPR) watershed was identified as one of the watersheds for the MRBI program implementation. The goal of this paper is to evaluate the effectiveness of the MRBI program in LCPR watershed using a computer simulation model. Seven best management practices (BMPs) (pond, wetland, pond and wetland, cover crops, vegetative filter strips, grassed waterways and forage and biomass planting) were modelled under four placement strategies: random placement in 30% of the watershed, random placement in 30% hydrologic response units (HRUs) of the high priority hydrological unit code (HUCs), placement in the top 30% of the high priority HUCs, and top 30% of the HRUs in the HUCs near the outlet of the watershed. The model was calibrated for flow for the period 1987–2006 and validated for the period 2007–2012. Sediment and nutrients were validated from 2011 to 2012. Out of the BMPs evaluated, grassed waterways proved to be the most effective BMP in reducing sediment and nutrient loads from row crop (soy beans) and pasture fields. Reductions at the watershed outlet ranged 0–1% for flow, 0.28–14% for sediment, 0.3–10% for TP and 0.3–9% for TN. Relatively higher reductions were observed at the subwatershed level, flow reductions ranged 0–51%, sediment reductions -1 to 79%, TP -1 to 65% and TN -0.37 to 66% depending on BMP type, placement scenario, and watershed characteristics. The results from this study provide the data to help prioritize monitoring needs for collecting watershed response data in LCPR and BMP implementation evaluations, which could be used to inform decisions in similar studies.
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