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Download A Field And Statistical Modeling Study To Estimate Irrigation Water Use At Benchmark Farms Study Sites In Southwestern Georgia 1995 96 full books in PDF, epub, and Kindle. Read online A Field And Statistical Modeling Study To Estimate Irrigation Water Use At Benchmark Farms Study Sites In Southwestern Georgia 1995 96 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Download or read book A Field and Statistical Modeling Study to Estimate Irrigation Water Use at Benchmark Farms Study Sites in Southwestern Georgia, 1995-96 written by Julia L. Fanning and published by . This book was released on 2001 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Water-resources Investigations Report written by and published by . This book was released on 2003 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ground-water Conditions and Studies in Georgia, 2001 written by and published by . This book was released on 2003 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Simulation of Streamflow and Water Quality in the White Clay Creek Subbasin of the Christina River Basin, Pennsylvania and Delaware, 1994-1998 written by Lisa A. Senior and published by . This book was released on 2003 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Monthly Catalog of United States Government Publications written by and published by . This book was released on 2001-07 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Colin R. Nugent
Publisher:
Published: 2004
Total Pages: 214
ISBN-13:
DOWNLOAD EBOOK"The Michigan Water Use Reporter (MWUR) model is a simulation designed to estimate water use from irrigated agriculture in the state of Michigan. The model was developed by Moen (1999) but had never been evaluated against actual grower reported irrigation amounts. The evaluation of this model took place with data from the 2002 and 2003 growing season. Twenty-one fields across central and southern lower Michigan were used as study sites. Volumetric soil moisture and seasonal irrigation water depths were recorded from each site and used to test the simulation"--Abstract.
Download or read book Estimating Seasonal Agricultural Irrigation Water Use in Michigan written by Colin R. Nugent and published by . This book was released on 2004 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Michigan Water Use Reporter (MWUR) model is a simulation designed to estimate water use from irrigated agriculture in the state of Michigan. The model was developed by Moen (1999) but had never been evaluated against actual grower reported irrigation amounts. The evaluation of this model took place with data from the 2002 and 2003 growing season. Twenty-one fields across central and southern lower Michigan were used as study sites. Volumetric soil moisture and seasonal irrigation water depths were recorded from each site and used to test the simulation"--Abstract.
Download or read book Water-resources Investigations Report written by and published by . This book was released on 2000 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Megh R. Goyal
Publisher: CRC Press
Published: 2014-08-19
Total Pages: 354
ISBN-13: 1482251876
DOWNLOAD EBOOKThis valuable book, the third volume in the Research Advances in Sustainable Micro Irrigation series, focuses on sustainable micro irrigation management for trees and vines. It covers the principles as well as recent advances and applications of micro irrigation techniques. Specialists throughout the world share their expertise on: • Automation of micro irrigation systems • Service and maintenance of micro irrigation systems • Evaluation of micro irrigation systems • Scheduling of irrigation • Using municipal wastewater for micro irrigation • Micro-jet irrigation and other systems • The effect of potassium, acid lime, and other elements
Download or read book Sustainable Micro Irrigation Management for Trees and Vines written by Megh R. Goyal and published by CRC Press. This book was released on 2014-08-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This valuable book, the third volume in the Research Advances in Sustainable Micro Irrigation series, focuses on sustainable micro irrigation management for trees and vines. It covers the principles as well as recent advances and applications of micro irrigation techniques. Specialists throughout the world share their expertise on: • Automation of micro irrigation systems • Service and maintenance of micro irrigation systems • Evaluation of micro irrigation systems • Scheduling of irrigation • Using municipal wastewater for micro irrigation • Micro-jet irrigation and other systems • The effect of potassium, acid lime, and other elements
Download or read book Water-resources Investigations Report written by and published by . This book was released on 2003 with total page 1186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Sara B. Levin
Publisher: CreateSpace
Published: 2013
Total Pages: 42
ISBN-13: 9781500275471
DOWNLOAD EBOOKAccurate accounting of irrigation water use is an important part of the U.S. Geological Survey National Water-Use Information Program and the WaterSMART initiative to help maintain sustainable water resources in the Nation. Irrigation water use in the humid eastern United States is not well characterized because of inadequate reporting and wide variability associated with climate, soils, crops, and farming practices. To better understand irrigation water use in the eastern United States, two types of predictive models were developed and compared by using metered irrigation water-use data for corn, cotton, peanut, and soybean crops in Georgia and turf farms in Rhode Island. Reliable metered irrigation data were limited to these areas. The first predictive model that was developed uses logistic regression to predict the occurrence of irrigation on the basis of antecedent climate conditions. Logistic regression equations were developed for corn, cotton, peanut, and soybean crops by using weekly irrigation water-use data from 36 metered sites in Georgia in 2009 and 2010 and turf farms in Rhode Island from 2000 to 2004. For the weeks when irrigation was predicted to take place, the irrigation water-use volume was estimated by multiplying the average metered irrigation application rate by the irrigated acreage for a given crop. The second predictive model that was developed is a crop-water-demand model that uses a daily soil water balance to estimate the water needs of a crop on a given day based on climate, soil, and plant properties. Crop-water-demand models were developed independently of reported irrigation water-use practices and relied on knowledge of plant properties that are available in the literature. Both modeling approaches require accurate accounting of irrigated area and crop type to estimate total irrigation water use.
Download or read book Estimating irrigation water use in the humid eastern United States written by Sara B. Levin and published by CreateSpace. This book was released on 2013 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate accounting of irrigation water use is an important part of the U.S. Geological Survey National Water-Use Information Program and the WaterSMART initiative to help maintain sustainable water resources in the Nation. Irrigation water use in the humid eastern United States is not well characterized because of inadequate reporting and wide variability associated with climate, soils, crops, and farming practices. To better understand irrigation water use in the eastern United States, two types of predictive models were developed and compared by using metered irrigation water-use data for corn, cotton, peanut, and soybean crops in Georgia and turf farms in Rhode Island. Reliable metered irrigation data were limited to these areas. The first predictive model that was developed uses logistic regression to predict the occurrence of irrigation on the basis of antecedent climate conditions. Logistic regression equations were developed for corn, cotton, peanut, and soybean crops by using weekly irrigation water-use data from 36 metered sites in Georgia in 2009 and 2010 and turf farms in Rhode Island from 2000 to 2004. For the weeks when irrigation was predicted to take place, the irrigation water-use volume was estimated by multiplying the average metered irrigation application rate by the irrigated acreage for a given crop. The second predictive model that was developed is a crop-water-demand model that uses a daily soil water balance to estimate the water needs of a crop on a given day based on climate, soil, and plant properties. Crop-water-demand models were developed independently of reported irrigation water-use practices and relied on knowledge of plant properties that are available in the literature. Both modeling approaches require accurate accounting of irrigated area and crop type to estimate total irrigation water use.
