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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
The Living Breakwaters Pdr Efforts Econcrete Resource Analysis, Guianina Ferrari, Shervon Stephens, Calvin O. Walters Jr.
The Living Breakwaters Pdr Efforts Econcrete Resource Analysis, Guianina Ferrari, Shervon Stephens, Calvin O. Walters Jr.
Publications and Research
On October 29, 2012, Superstorm Sandy impacted 443,000 people and caused nearly $19 billion (about $58 per person in the US) worth of damage within New York City. As part of the New York City infrastructure reparation plan, the Living Breakwaters project in Tottenville addressed coastal resilience, allocating $100M of public funds to a series of artificial breakwaters by the southwest coast of Staten Island. Each breakwater is constructed and designed to mitigate water flow in storm events. ECOncrete, a primary element of the breakwater, is a specialty cast cementitious product that is marine organism-friendly that encourages biocalcification and photosynthesis. …
The Living Breakwaters Pdr Efforts: Conceptual Scheduling, Calvin O. Walters Jr.
The Living Breakwaters Pdr Efforts: Conceptual Scheduling, Calvin O. Walters Jr.
Publications and Research
On October 29, 2012, Superstorm Sandy caused nearly $19 billion in damages in New York City including 69,000 residential units across the five boroughs. This disaster precipitated a post-disaster-rebuilding (PDR) project including roughly $4.2 billion in a Community Development Block Grant allocated towards PDR projects. A portion of the grant was used to construct a living breakwater in Tottenville, Staten Island, consisting of a resiliency approach to risk reduction through erosion prevention, wave energy attenuation, and enhancement of ecosystems and social resiliency to improve resistance to storms for the community of Tottenville. The ridges of each breakwater are designed with …
Efficient Methods For Optimizing Hydropower Under Uncertainty, Timothy Michael Magee Jr., Edith A. Zagona, Mitch Clement
Efficient Methods For Optimizing Hydropower Under Uncertainty, Timothy Michael Magee Jr., Edith A. Zagona, Mitch Clement
International Conference on Hydroinformatics
There are several sources of uncertainty in scheduling hydropower: reservoir inflows, power generation, demand and value, and the value of water remaining in storage at the end of the planning horizon. RiverWare is an object oriented modeling tool widely used for the operations and planning of large and small systems of reservoirs. Typically, short term optimization of hydropower is complicated by the need to meet a wide variety of prioritized non-power constraints and RiverWare is designed to satisfy these constraints to the extent possible. We present four different approaches that use deterministic methods combined with uncertainty models to efficiently optimize …
Irrigation Scheduling Of Soybeans, Corn, Wheat, And Potatoes (Camac Progress Report 87-8), Blaine L. Blad
Irrigation Scheduling Of Soybeans, Corn, Wheat, And Potatoes (Camac Progress Report 87-8), Blaine L. Blad
School of Natural Resources: Faculty Publications
No abstract provided.
A Demonstration And Evaluation Of The Use Of Climate Information To Support Irrigation Scheduling And Other Agricultural Operations (Camac Progress Report 87-4), K. G. Hubbard, D. A. Wilhite, S. J. Meyer, J. Booysen, R. Sagar, J. J. Schmidt, J. R. Hines
A Demonstration And Evaluation Of The Use Of Climate Information To Support Irrigation Scheduling And Other Agricultural Operations (Camac Progress Report 87-4), K. G. Hubbard, D. A. Wilhite, S. J. Meyer, J. Booysen, R. Sagar, J. J. Schmidt, J. R. Hines
School of Natural Resources: Faculty Publications
No abstract provided.
Optimal Allocation And Scheduling Of Irrigation Water For Cotton And Soybeans, M. J. Cochran, L. D. Parsch, J. M. Redfern, H. D. Scott
Optimal Allocation And Scheduling Of Irrigation Water For Cotton And Soybeans, M. J. Cochran, L. D. Parsch, J. M. Redfern, H. D. Scott
Technical Reports
This study evaluated alternative irrigation scheduling strategies for cotton and soybean production on Sharkey clay soils in southeast Arkansas. Strategies were ranked on the basis of two basic criteria: expected net revenue and risk efficiency. Risk efficiency was defined for different risk preferences using stochastic dominance techniques. Preferred strategies for cotton employed tensiometer thresholds between -.45 atm and -.75 atm. Risk efficient soybean irrigation strategies varied with the degree of risk aversion--more risk averse decision makers prefer strategies with lower thresholds.