Potato Grower

November 2014

Issue link: http://read.uberflip.com/i/407782

Contents of this Issue

Navigation

Page 59 of 72

www.potatogrower.com 59 WORLD'S LARGEST USED POTATO EQUIPMENT INVENTORY Like new for less @AgritechCorp Dikers & Cultivators 2012 A.E. Dammer Diker 6 row 36" shear trip 2005 Spudnik 6 row cultivator/diker 1990 A.E. Tillage Master 6 row 36" Hyd. Warehouse Odenberg Optical Grader Titan II Flat conveyors different dimensions EDP mini bagger 1ph Pilers 2005 Milestone 42" all belt Arcing 2000 Spudnik 860, 36"x48', 3ph 2000 Double L 861, 42"x49' 3ph Dusters /Treaters 2002 Milestone 42" 3ph 1994 Better built CDT 10, 1ph 1996 Milestone 30" barrel 1ph Planters 2007 Spudnik 8040 cup 4 row semi Mech. 2005 Underhaug 6 row new style, hydr. 34" 2005 Lockwood 506 pick 6 row semi hydr. Planter Fillers/Tare piler Spudnik Tube 16" x 20', 1ph Industrial Dirt Conveyor 24" Clod Hoppers 2001 Harriston 160/60" finger table, 3ph 1998 Harriston 200/80" finger table, 3ph Eliminator / Collector 2013 Spudnik 900-72" DE 2 pups 2011 Logan 84" Dirt Elim./Sizer 2001 Milestone 60" Sizers 1994 Spudnik 925, 60", 3ph 1989 Milestone 48" 1ph Seed Cutters 1996 Better Built 400, 60", 3ph 1993 Milestone 48" Recond. 1988 Milestone 36" 1ph Telescopic Conveyors 1996 Double L 820, 30" x 60', 3ph 1995 Spudnik 1225, 30/36"x85', 3ph Harvesters 2 row 1999 Spudnik 5620 1995 Lockwood 4600 Scoopers 1998 Spudnik 350, 30" 3ph 4wd Spudnik 24" 3ph Trailers 1997 Spudnik 42'/30" 2 axle elec. 1991 Farmbed 48'/25" 3xle elec. Harvesters 4th Row 2012 Lockwood 474H 2007 Double L 853 Shredders 2007 Newhouse 1752 34" 2007 Newhouse 1752 34" 1990 Ace 6 row 1(855) 375-6111 Shop the Full Inventory at agritechcorp.com/potatogrower scan this to shop now! 140444AgrTec12h.indd 1 9/26/14 4:50 PM some cases, tapped out— for irrigation and urban use, the amount of water they contain starts depending more heavily on seasonal rainfall or even individual storms. Meanwhile, precipitation patterns are expected to become even more variable with climate change. "So, people are getting more and more interested in modeling these shorter-term cycles in variability and recharge in order to forecast how much water is left in these really depleted systems," Dickinson says. Scientists are also adding more complexity to models today because more data are available than ever before, along with sophisticated software that can handle them. But the screening tool shows this can be overkill in some cases. When the researchers applied it to California's Central Valley, for example, it predicted that recharge in most of the underlying aquifer doesn't fluctuate much on time scales of 30 days or less. That is, any daily variation in, say, soil moisture levels or storm events, can likely be excluded from recharge models without affecting their accuracy. Over periods of 90 days up to a year, in contrast, the tool predicted that changing conditions at the surface do lead to varying recharge rates below, suggesting that seasonal and yearly data are important to include. But whether recharge was judged to be variable or steady depended greatly on the depth of the water table. Even over the course of a year, recharge was still constant in some portions of the Central Valley, specifically in spots where the aquifer is so deep that any fluctuations in precipitation or irrigation are damped by the time surface water reaches it. "But where the water table is shallow, that's where we found the variability becomes more important to include," Dickinson says. "And that's actually where most of the farming is done and most of the water resources models are being constructed by various groups." Although the tool is probably most relevant to groundwater modelers at this point, he says, anyone can download it at az.water.usgs.gov/software/. All that's needed to use it is information on soil type, an estimate of depth to the water table, and a sense of the long-term trends in recharge: whether the system overall is wet or dry, for example, and when the bulk of precipitation occurs during the year. The tool runs in the MATLAB programming environment. The team was also able to make maps of the entire Central Valley because of the wealth of available information, but the screening tool can be applied to much smaller areas as well. "We designed it to be pretty simple and to be used immediately," Dickinson says. The research was funded by the Southwest Climate Science Center. PG This article is based on a press release from the American Society of Agronomy.

Articles in this issue

Links on this page

Archives of this issue

view archives of Potato Grower - November 2014