Physical Sciences and Mathematics Commons^™

The 2009-2010 El Nino: Hydrologic Relief To U.S. Regions, Glenn A. Tootle, Thomas C. Piechota, Oubeidillah Aziz, William Paul Miller, Venkat Lakshmi, John A. Dracup, Carly Jerla

Civil and Environmental Engineering and Construction Faculty Research

Current forecasts by the U.S. National Oceanic and Atmospheric Administration (NOAA) are that the Pacific Ocean will experience El Niño conditions in late 2009 and into 2010. These forecasts are similar to past El Niño events in 1972–1973, 1982–1983, 1986–1987, and 2002–2003.

Evaluating the hydrologic conditions for these past El Niño events reveals that during these times, surface water supply conditions improved in many parts of the United States, including the Southeast, Midwest, and Southwest. At the same time, the Pacific Northwest and other specific regions of the United States experienced below-average water supply conditions. This is consistent with the …

Unlv Magazine, Matthew K. Jacobsen, Holly Ivy De Vore, Lisa Arth, Cate Weeks, Greg Lacour, Tony Allen, Afsha Bawany, Barbara Cloud, Gian Galassi, Phil Hagen, Karyn S. Hollingsworth, Michelle Mouton, Erin O'Donnell

UNLV Magazine

No abstract provided.

How To Harness The Full Potential Of Integrated Catchment Management As A Pathway To Sustainability, Edward P. Weber, Ali Memon, Brett D. M. Painter

Public Policy and Leadership Faculty Publications

Water resource management authorities globally are increasingly adopting regional ecosystem approaches and reflexive governance as pathways to sustainable development (Paton et al., 2004; Vos et al.,2006). An integrated collaborative approach to natural resource management at the catchment scale is a strong theme in the recent literature (e.g., Lovell et al. 2002; Painter & Memon, 2008). New Zealand’s Resource Management Act (RMA), enacted in 1991, is a devolved planning mandate for
integrated natural resource management exercised by elected regional councils. The territorial jurisdiction of regional councils established in 1988 was purposely defined on the basis of groups of large water catchments …

Increasing Water Efficiency In California’S Commercial, Industrial, And Institutional (Cii) Sector, Ronnie Cohen, Kristina Ortez, Crossley Pinkstaff

Publications (WR)

Reliable and adequate access to water is critical for businesses and their surrounding communities. Across the nation, water shortages are triggering growing concern and an acceleration of efforts to increase water use efficiency. Adopting water-efficient technologies and practices that reduce consumption holds great potential for commercial, industrial, and institutional (CII) water users. Such measures can help stretch limited water supplies, save businesses money, reduce energy consumption, improve water quality, and protect local, regional, and statewide ecosystems.

In February of 2008, California’s governor called for a reduction in per capita urban water use of 20 percent by 2020, and the CII …

Epa’S Role In Promoting Water Efficiency, Mary Ann Dickinson

Publications (WR)

The Alliance for Water Efficiency is pleased to appear before you today to offer views on activities and programs to improve water efficiency throughout the United States. We are a North American non‐profit organization, composed of diverse stakeholders with significant experience in water conservation programs and policies. Our mission is to promote the efficient and sustainable use of water, to promote cost‐effective water efficiency measures that will reduce wasteful consumption, reduce the need for additional drinking water and waste water capacity, and provide multiple energy, economic, and environmental benefits. And in that mission, we work closely with staff at the …

Using Oceanic-Atmospheric Oscillations For Long Lead Time Streamflow Forecasting, Ajay Kalra, Sajjad Ahmad

Civil and Environmental Engineering and Construction Faculty Research

We present a data-driven model, Support Vector Machine (SVM), for long lead time streamflow forecasting using oceanic-atmospheric oscillations. The SVM is based on statistical learning theory that uses a hypothesis space of linear functions based on Kernel approach and has been used to predict a quantity forward in time on the basis of training from past data. The strength of SVM lies in minimizing the empirical classification error and maximizing the geometric margin by solving inverse problem. The SVM model is applied to three gages, i.e., Cisco, Green River, and Lees Ferry in the Upper Colorado River Basin in the …