Loading…
Loss Rates from Lake Powell and Their Impact on Management of the Colorado River
As demand for water in the southwestern United States increases and climate change potentially decreases the natural flows in the Colorado River system, there will be increased need to optimize the water supply. Lake Powell is a large reservoir with potentially high loss rates to bank storage and ev...
Saved in:
Published in: | Journal of the American Water Resources Association 2013-10, Vol.49 (5), p.1213-1224 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3 |
---|---|
cites | cdi_FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3 |
container_end_page | 1224 |
container_issue | 5 |
container_start_page | 1213 |
container_title | Journal of the American Water Resources Association |
container_volume | 49 |
creator | Myers, Tom |
description | As demand for water in the southwestern United States increases and climate change potentially decreases the natural flows in the Colorado River system, there will be increased need to optimize the water supply. Lake Powell is a large reservoir with potentially high loss rates to bank storage and evaporation. Bank storage is estimated as a residual in the reservoir water balance. Estimates of local inflow contribute uncertainty to estimates of bank storage. Regression analyses of local inflow with gaged tributaries have improved the estimate of local inflow. Using a stochastic estimate of local inflow based on the standard error of the regression estimator and of gross evaporation based on observed variability at Lake Mead, a reservoir water balance was used to estimate that more than 14.8 billion cubic meters (Gm3) has been stored in the banks, with a 90% probability that the value is actually between 11.8 and 18.5 Gm3. Groundwater models developed by others, observed groundwater levels, and simple transmissivity calculations confirm these bank storage estimates. Assuming a constant bank storage fraction for simulations of the future may cause managers to underestimate the actual losses from the reservoir. Updated management regimes which account more accurately for bank storage and evaporation could save water that will otherwise be lost to the banks or evaporation. |
doi_str_mv | 10.1111/jawr.12081 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642244969</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1529957814</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3</originalsourceid><addsrcrecordid>eNqFkc1u1DAURiNEJUrLhiewhJAQUlrf-H9ZRlCKUhhGg8rOuuM4NNMkHuwMQ9--Sad0wQK8sS2d78jXX5a9BHoC4zpd4y6eQEE1PMkOQYkiB6n10_FMDcu54t-fZc9TWlMKAjQ7zOZlSIkscPCJ1DF0pMQbT-Zh59uWYF-R5bVvIrnoNugGEnpyiT3-8J3vx1tNhmtPZqENEatAFs0vH4-zgxrb5F887EfZtw_vl7OPefnl_GJ2VuaOMwG5kWqlDcJKKS60pI5KxYsC0bGiqpj2KJwBrQXFinsJlXYUwVC2gsLXvGJH2Zu9dxPDz61Pg-2a5MZXY-_DNlmQo45zI83_UVEYI5QGPqKv_kLXYRv7cRALnAOVYMxEvd1TLo6_F31tN7HpMN5aoHbqwU492PseRvj1gxKTw7aO2LsmPSYKpaYpJw723K5p_e0_jPbT2dXijzvfZ5o0-N-PGYw3ViqmhL36fG7LuZ59fTdfWsPuAAfFo7U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1441061994</pqid></control><display><type>article</type><title>Loss Rates from Lake Powell and Their Impact on Management of the Colorado River</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Myers, Tom</creator><creatorcontrib>Myers, Tom</creatorcontrib><description>As demand for water in the southwestern United States increases and climate change potentially decreases the natural flows in the Colorado River system, there will be increased need to optimize the water supply. Lake Powell is a large reservoir with potentially high loss rates to bank storage and evaporation. Bank storage is estimated as a residual in the reservoir water balance. Estimates of local inflow contribute uncertainty to estimates of bank storage. Regression analyses of local inflow with gaged tributaries have improved the estimate of local inflow. Using a stochastic estimate of local inflow based on the standard error of the regression estimator and of gross evaporation based on observed variability at Lake Mead, a reservoir water balance was used to estimate that more than 14.8 billion cubic meters (Gm3) has been stored in the banks, with a 90% probability that the value is actually between 11.8 and 18.5 Gm3. Groundwater models developed by others, observed groundwater levels, and simple transmissivity calculations confirm these bank storage estimates. Assuming a constant bank storage fraction for simulations of the future may cause managers to underestimate the actual losses from the reservoir. Updated management regimes which account more accurately for bank storage and evaporation could save water that will otherwise be lost to the banks or evaporation.</description><identifier>ISSN: 1093-474X</identifier><identifier>EISSN: 1752-1688</identifier><identifier>DOI: 10.1111/jawr.12081</identifier><identifier>CODEN: JWRAF5</identifier><language>eng</language><publisher>Middleburg, VA: Blackwell Publishing Ltd</publisher><subject>Banks ; Climate change ; Earth sciences ; Earth, ocean, space ; Estimates ; Estimating techniques ; Evaporation ; Exact sciences and technology ; Freshwater ; Groundwater ; Hydrology. Hydrogeology ; Inflow ; Lake Powell ; Lakes ; Management ; Regression analysis ; reservoir bank storage ; reservoir operations simulations ; Reservoirs ; Rivers ; Stochastic models ; surface water/groundwater interactions ; water conservation ; Water resources ; Water supply</subject><ispartof>Journal of the American Water Resources Association, 2013-10, Vol.49 (5), p.1213-1224</ispartof><rights>2013 American Water Resources Association</rights><rights>2014 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Oct 2013</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3</citedby><cites>FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27788501$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Myers, Tom</creatorcontrib><title>Loss Rates from Lake Powell and Their Impact on Management of the Colorado River</title><title>Journal of the American Water Resources Association</title><addtitle>J Am Water Resour Assoc</addtitle><description>As demand for water in the southwestern United States increases and climate change potentially decreases the natural flows in the Colorado River system, there will be increased need to optimize the water supply. Lake Powell is a large reservoir with potentially high loss rates to bank storage and evaporation. Bank storage is estimated as a residual in the reservoir water balance. Estimates of local inflow contribute uncertainty to estimates of bank storage. Regression analyses of local inflow with gaged tributaries have improved the estimate of local inflow. Using a stochastic estimate of local inflow based on the standard error of the regression estimator and of gross evaporation based on observed variability at Lake Mead, a reservoir water balance was used to estimate that more than 14.8 billion cubic meters (Gm3) has been stored in the banks, with a 90% probability that the value is actually between 11.8 and 18.5 Gm3. Groundwater models developed by others, observed groundwater levels, and simple transmissivity calculations confirm these bank storage estimates. Assuming a constant bank storage fraction for simulations of the future may cause managers to underestimate the actual losses from the reservoir. Updated management regimes which account more accurately for bank storage and evaporation could save water that will otherwise be lost to the banks or evaporation.</description><subject>Banks</subject><subject>Climate change</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Estimates</subject><subject>Estimating techniques</subject><subject>Evaporation</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Groundwater</subject><subject>Hydrology. Hydrogeology</subject><subject>Inflow</subject><subject>Lake Powell</subject><subject>Lakes</subject><subject>Management</subject><subject>Regression analysis</subject><subject>reservoir bank storage</subject><subject>reservoir operations simulations</subject><subject>Reservoirs</subject><subject>Rivers</subject><subject>Stochastic models</subject><subject>surface water/groundwater interactions</subject><subject>water conservation</subject><subject>Water resources</subject><subject>Water supply</subject><issn>1093-474X</issn><issn>1752-1688</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkc1u1DAURiNEJUrLhiewhJAQUlrf-H9ZRlCKUhhGg8rOuuM4NNMkHuwMQ9--Sad0wQK8sS2d78jXX5a9BHoC4zpd4y6eQEE1PMkOQYkiB6n10_FMDcu54t-fZc9TWlMKAjQ7zOZlSIkscPCJ1DF0pMQbT-Zh59uWYF-R5bVvIrnoNugGEnpyiT3-8J3vx1tNhmtPZqENEatAFs0vH4-zgxrb5F887EfZtw_vl7OPefnl_GJ2VuaOMwG5kWqlDcJKKS60pI5KxYsC0bGiqpj2KJwBrQXFinsJlXYUwVC2gsLXvGJH2Zu9dxPDz61Pg-2a5MZXY-_DNlmQo45zI83_UVEYI5QGPqKv_kLXYRv7cRALnAOVYMxEvd1TLo6_F31tN7HpMN5aoHbqwU492PseRvj1gxKTw7aO2LsmPSYKpaYpJw723K5p_e0_jPbT2dXijzvfZ5o0-N-PGYw3ViqmhL36fG7LuZ59fTdfWsPuAAfFo7U</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Myers, Tom</creator><general>Blackwell Publishing Ltd</general><general>American Water Resources Association</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><scope>7TG</scope><scope>7U6</scope><scope>KL.</scope></search><sort><creationdate>201310</creationdate><title>Loss Rates from Lake Powell and Their Impact on Management of the Colorado River</title><author>Myers, Tom</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Banks</topic><topic>Climate change</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Estimates</topic><topic>Estimating techniques</topic><topic>Evaporation</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Groundwater</topic><topic>Hydrology. Hydrogeology</topic><topic>Inflow</topic><topic>Lake Powell</topic><topic>Lakes</topic><topic>Management</topic><topic>Regression analysis</topic><topic>reservoir bank storage</topic><topic>reservoir operations simulations</topic><topic>Reservoirs</topic><topic>Rivers</topic><topic>Stochastic models</topic><topic>surface water/groundwater interactions</topic><topic>water conservation</topic><topic>Water resources</topic><topic>Water supply</topic><toplevel>online_resources</toplevel><creatorcontrib>Myers, Tom</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Journal of the American Water Resources Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Myers, Tom</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Loss Rates from Lake Powell and Their Impact on Management of the Colorado River</atitle><jtitle>Journal of the American Water Resources Association</jtitle><addtitle>J Am Water Resour Assoc</addtitle><date>2013-10</date><risdate>2013</risdate><volume>49</volume><issue>5</issue><spage>1213</spage><epage>1224</epage><pages>1213-1224</pages><issn>1093-474X</issn><eissn>1752-1688</eissn><coden>JWRAF5</coden><abstract>As demand for water in the southwestern United States increases and climate change potentially decreases the natural flows in the Colorado River system, there will be increased need to optimize the water supply. Lake Powell is a large reservoir with potentially high loss rates to bank storage and evaporation. Bank storage is estimated as a residual in the reservoir water balance. Estimates of local inflow contribute uncertainty to estimates of bank storage. Regression analyses of local inflow with gaged tributaries have improved the estimate of local inflow. Using a stochastic estimate of local inflow based on the standard error of the regression estimator and of gross evaporation based on observed variability at Lake Mead, a reservoir water balance was used to estimate that more than 14.8 billion cubic meters (Gm3) has been stored in the banks, with a 90% probability that the value is actually between 11.8 and 18.5 Gm3. Groundwater models developed by others, observed groundwater levels, and simple transmissivity calculations confirm these bank storage estimates. Assuming a constant bank storage fraction for simulations of the future may cause managers to underestimate the actual losses from the reservoir. Updated management regimes which account more accurately for bank storage and evaporation could save water that will otherwise be lost to the banks or evaporation.</abstract><cop>Middleburg, VA</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/jawr.12081</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1093-474X |
ispartof | Journal of the American Water Resources Association, 2013-10, Vol.49 (5), p.1213-1224 |
issn | 1093-474X 1752-1688 |
language | eng |
recordid | cdi_proquest_miscellaneous_1642244969 |
source | Wiley-Blackwell Read & Publish Collection |
subjects | Banks Climate change Earth sciences Earth, ocean, space Estimates Estimating techniques Evaporation Exact sciences and technology Freshwater Groundwater Hydrology. Hydrogeology Inflow Lake Powell Lakes Management Regression analysis reservoir bank storage reservoir operations simulations Reservoirs Rivers Stochastic models surface water/groundwater interactions water conservation Water resources Water supply |
title | Loss Rates from Lake Powell and Their Impact on Management of the Colorado River |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T05%3A48%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Loss%20Rates%20from%20Lake%20Powell%20and%20Their%20Impact%20on%20Management%20of%20the%20Colorado%20River&rft.jtitle=Journal%20of%20the%20American%20Water%20Resources%20Association&rft.au=Myers,%20Tom&rft.date=2013-10&rft.volume=49&rft.issue=5&rft.spage=1213&rft.epage=1224&rft.pages=1213-1224&rft.issn=1093-474X&rft.eissn=1752-1688&rft.coden=JWRAF5&rft_id=info:doi/10.1111/jawr.12081&rft_dat=%3Cproquest_cross%3E1529957814%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4351-967b89a1b7745860c067422aac32dd38ea5c918850ad4e61d8c0a1903b12ef4d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1441061994&rft_id=info:pmid/&rfr_iscdi=true |