Data access and decision tools for coastal water resources management

Transcription

1 Data access and decision tools for coastal water resources management Detenbeck, N.E. 1, A. Morrison 2, R. Abele 3, T. Plessel 4,V. Zoltay 5, M.B. ten Brink 1,and S. Rego 1 1 U.S. Environmental Protection Agency, Atlantic Ecology Division, Narragansett,RI; 2 ORISE post-doc at US EPA Atlantic Ecology Division; 3 US EPA Region 1, Boston, MA; Lockheed-Martin at US EPA Environmental Modelling and Visualization Laboratory, RTP, NC; 5 Abt Associates, Inc., Cambridge, MA 2016 AWRA Summer Specialty Conference: GIS and Water Resources IX Sacramento, CA July 11-13, 2016 The views expressed in this presentation are those of the authors and do not necessarily reflect the views or policies of the U.S. Environmental Protection Agency.

2 Overview Estuary Data Mapper raw data availability Facilitating model applications: Seagrass habitat model Accessing model output and simulation results: New England stream/river temperature model Facilitating access to data for decisionsupport tools: Watershed Management Optimization Support Tool (WMOST) Evolution of data portal roles 2

3 Estuary Data Mapper Free downloadable application - U.S. coastal data discovery - Visualization - Download List of data sources Tutorials Info on accessing WCS for decisionsupport tools 3

4 Estuary Data Mapper: Data sources Background imagery Reference boundaries Water quantity/quality time series Coastal vulnerability 4 Soils/sediment/habitat

5 Estuary Data Mapper 5

6 Seagrass Habitat Model Predictors Detenbeck, N. AND S. Rego. Predictive Seagrass Habitat Model. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-15/003, Appendix w instructions for data downloads, example R code. - Digital copy on EPA Science Inventory. Transparency Groundwater N indicator (density of unsewered residences on high infiltration soils) Sea surface temperature* Sediment type (grain size) Sediment organic carbon content Sea surface salinity Wave energy Wind-wave energy (NOAA WEMO tool) Mixing depth (USGS WAVES tool) Isolation (island vs main shoreline) Grazer population (Canada geese density) Distance to marinas/mooring fields * Dropped due to unresolved problems with cross-correlation and limited range Estuarine-specific Available for cont. U.S. 6

7 Data access to apply model in other estuaries 7

8 New green infrastructure info in Estuary Data Mapper 8

9 Spatial statistical network model for stream/river temperature Predictors of July/Aug median stream and river temperature Shaded solar radiation Topographic shading Riparian shading Median air temperature Urban heat index Percent coarse surficial deposits* Main channel slope Watershed storage (lakes + wetlands) Upstream lake presence & depth * August only Energy inputs Groundwater inputs Retention time 9

10 Current thermal regime 2006 land cover - Canopy cover - Watershed storage Average median July air temperature Beauchene et al (2014) thermal regime classes - Coldwater (< º C) - Coolwater ( º C) - Warmwater (> 22.3 º C) Tidal class assigned based on maximum elevation of reach < 3 meters 8/3/2016 Watersheds extending into Canada not included 10

11 Riparian loss scenario: coldwater habitat loss 2006 land cover - Canopy cover -> 0% - Watershed storage Average median July air temperature Beauchene et al (2014) thermal regime classes Tidal class assigned based on maximum elevation of reach < 3 meters Watersheds extending into Canada not included 8/3/

12 Riparian restoration scenario: coldwater habitat gains 2006 land cover - Imperviousness - Canopy cover -> 100% - Watershed storage Average median July air temperature Beauchene et al (2014) thermal regime classes Tidal class assigned based on maximum elevation of reach < 3 meters 8/3/2016 Watersheds extending into Canada not included 12

13 Watershed Optimization Support Tool (WMOST) Watershed Management Optimization Support Tool (WMOST) - Accounting tool for water - Identify goals - Evaluate integrated management practices - Stormwater (including green infrastructure) - Drinking water - Wastewater - Land conservation - Optimize costs while finding solutions 13

14 Generalization of land-use and BMPs Hydrologic Response Units (HRUs)* Runoff Runoff and recharge rates: Baseline Detention pond Swale Runoff Recharge Recharge Runoff HRU 1 Recharge Recharge Adapted from Limbrunner et al., 2005 *HRU = Combination of land-use and soil type 14

15 WMOST input data library 15

16 WMOST data library expansion Future CC scenarios to be added Lake Champlain Basin SWAT NE Coastal SWAT Upper Merrimac HSPF CT HSPF In process of being added 16 Pawtuxet SWAT 16

17 WMOST data library expansion HAWQS Nationwide SWAT at HUC12 scale Estuary Data Mapper EPA 20 Watershed Study: Historic and Future Climate Chesapeake Phase 6 Model WMOST

18 Facilitating data import to decision-support tools 18

19 Evolving role of EDM data portal Link to raw and derived environmental data sets for coastal systems Facilitate distribution of model inputs Case study Tutorials Distribute model outputs Current conditions Future scenarios Direct link to data for decision support tools Facilitate others use of distributed WCS in decision-support tools 19

20 Questions? Naomi Detenbeck