Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 Karl Benedict Director of Research Data Services, College of University Libraries and Learning Sciences. UNM
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 F. Achete-Minikowski, M. van der Wegen, B. Jaffe (L. Lucas presenting) Modeling Bay-Delta Suspended Sediment in • 2D, Flexible Mesh CASCaDE • WY 2011 • 2 sediment fractions (mud, sand) DEMONSTRATOR BODY OF PRESENTATION • Delta operations important: Delta Cross Channel South Delta pumps • See: Achete et al., In Review at: http://www.hydrol-earth-syst-sci- discuss.net/12/1507/2015/hessd- 12-1507-2015-discussion.html
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 DAVID OSTI, 34 NORTH Using OPENNRM : Tell your Data Story Baydeltalive.com and San Joaquin Real Time Management collaborative resource management web applications and workspaces for data collection, analysis and visualization.
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 Quinn Hart Visualizing ✦ Standardizing ✦ Sharing HOBBES California’s Water Conveyance System
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 Lejo Flores Boise State University & Idaho EPSCoR Integrated modeling of coupled human-natural systems • Envision framework (Oregon State) Conceptual Model • Upland hydrology and land management practices • Reservoir operations Climate Change Landscape • Water rights diversion, allocation, and Change Municipalities Agriculture irrigation • Urbanization Reservoir System Irrigation Boise River System Surface water Groundwater Year 2006
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 S S u u p p p p r r CS1 – Area suitable spawning habitat e e s s Suppression overbite clam Corbula - ID2 s s i i o o CS3 – Thermal egg-to-fry survival n n B B S S r r u u a a p p z z p p i i l l r r i i e e a a s s n n s s i i o o w w n n a a o o t t f f e e A A r r w w s s i i t t a a e e g g CS5 – Redd scour a a t t n n e e t t i i c c i i i i d d b b r r B B a a c c e e r r h h l l E E a a t t a a a a c c g g g g m m k k w w n n e e i i s s i i r r e e r r h h C C a a i i d d e e o o a a w w Multi-species r r r r d d e e b b - - e e t t i i d d l l l l I I b b a a c c D D e e a a n n u u R R Freshwater wetland area – TW2 t t d d l l 1 1 i i a a u u a a – – s s r r - - e e 6 6 a a I I a a e e D D S S r r – – 3 3 C C A A T T CS4 – Juvenile stranding index – – W W 2 2 1 1 Steelhead S S C C Invasive sp. ecological flow trout deterrence Spawning success (index) – DS1 CS7 – Juvenile development in Yolo Bypass Spring, Fall, Tidal wetlands L. Fall, optimization using Habitat suitability (index) – DS2 Winter-run CS9 - Juvenile mortality risk (passage time) Chinook Delta smelt salmon CS10 – Juvenile temperature stress Entrainment risk (index) – DS4 flexible ecosystem Green Longfin smelt sturgeon Abundance (index) – LS1 GS1 - Egg-to-larvae survival objectives Western Splittail pond Bank turtle Potential spawning habitat - SS1 Fremont swallow L L Cottonwood W W D D 1 1 1 1 – – W W v v e e S S FC1 – seedling initiation success g g A A 2 2 e e B B W W FC2 – scour risk t t Ryan Luster a a t t – – S S i i o o l l A A n n a a i i B B r r t t e e n n c c – – e e r r u u t t g g i i o o t t n n e e p p d d i i t t t t s s t t a a o o e e t t S S i i n n b b a a c c a a g g R R h h n n i i v v e e i i e e r r l l r r b b u u a a d d t t i i n n u u S S o o Clint Alexander i i t t a a d d n n u u n n i i k k s s i i R R
Workshop on Integrated Environmental Modeling of Estuarine Systems Davis, California, May 21-23, 2015 I NVESTIGATION OF M ASSIVE D ISPERSION IN THE S ACRAMENTO – S AN J OAQUIN D ELTA DUE TO J UNCTIONS Vamsi Krishna Sridharan • DSM – 2 HYDRO and • Dispersion correlates • Dispersion scales with F – PTM dispersion study reasonably with River flow cloud size and mean along transport pathways advective velocity of cloud • Large variability in results indicates spatial variability along pathways • Different dispersion mechanisms exist
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