1 / 0

“Development of Community Water Deficit Index (CWDI) for small to mid-size communities of Southeastern United States”

“Development of Community Water Deficit Index (CWDI) for small to mid-size communities of Southeastern United States”. By: Vaishali Sharda. Puneet Srivastava Dept. of Biosystems Engg , Auburn University. Keith Ingram Dept. of Ag and Biol Engg, University of Florida . Xing Fang

hei
Download Presentation

“Development of Community Water Deficit Index (CWDI) for small to mid-size communities of Southeastern United States”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “Development of Community Water Deficit Index (CWDI) for small to mid-size communities of Southeastern United States” By: Vaishali Sharda Puneet Srivastava Dept. of Biosystems Engg, Auburn University Keith Ingram Dept. of Ag and Biol Engg, University of Florida Xing Fang Dept of Civil Engg Auburn University LatifKalin School of Forestry and Wildlife Sciences, Auburn University
  2. Introduction Urban water use Potential evapotranspiration and rainfall best explains changes in residential water use attributable to climate (Hughes et al., 1994) Drought conditions subject the municipal water systems to Increased demands and decreased supplies Pose serious risk to the performance of the system (Radwan et al., 1994) Such fluctuation in climatic conditions may cause short term failures in the system
  3. CWDI for Small to Mid-size Communities Currently available drought information (US Drought Monitor, Lawn and Garden Moisture Index, etc. are not specific to municipal water systems) High spatial variability of the rainfall in the Southeast Supply and demand not considered Do not forecast
  4. Vision Develop a web-based CWDI for water managers of small to mid-size communities in the region Water supply Seasonal water demand High spatial resolution The communities are of relatively small size Drought forecast Provides an easy to use web-interface – help in decision making
  5. Features Delineated Supply Watershed User just needs internet access Delineate supply and demand watersheds Provide population, historic water usage data etc. No advanced knowledge required
  6. Assumptions Each community, irrespective of the source of its water supply, has a reservoir(s) where the water is stored before distribution. The supply going into the reservoir may be directly from a stream, a watershed, a ground water well or purchased from another source. There is a supply watershed and a demand watershed. The supply watersheds can be different from, same as, or overlapping the demand watershed . Land cover changes in the supply watersheds are minimal so climate becomes the driving factor affecting the water supply from the watershed.
  7. Basic Principle Supply and Demand Water Balance Inputs Runoff from the supply watershed (Curve number method) Baseflow Precipitation Additional water supply sources (purchased water, groundwater etc.) Outputs Total water withdrawal (demand) Evaporation Mandatory discharge
  8. CWDI Model Curve Number Selection: Based on the season (dry or growing) and the Antecedent Moisture Condition (AMC) Evapotranspiration: Most important component Dynamic demand - irrigation of lawns and golf courses etc. Dependent on climate Dynamic demand is given by: Static Demand: Depends on population CWDI: Estimated as If CWDI ≤ 0, => Drought If CWDI > 0, => No Drought
  9. CWDI Model in STELLA
  10. Drought Forecasting CWDI ENSO Outlook and Climate Variables Web Based CWDI Tool Time
  11. Case Study 1 – City of Auburn Current average usage for the water system - 6 MGD Current water supply capacity - 11.6 MGD Can purchase up to 3.6 MGD from Opelika Utilities. (used only at certain times during the year) Demand Watershed Supply Watershed Lake Ogletree
  12. Why Climate Variability is Important to City of Auburn? Full Pool Phase 1 Phase 2 2007 2006 Phase 3 Source: http://www.auburnalabama.org
  13. Case Study 2 – City of Griffin 2 withdrawal points on Flint river Griffin (13.2 MGD) Molena (50 MGD) 7 customers 80000 people City of Griffin Wholesale customers 24.5 Mgd capacity
  14. Validation - CoA
  15. Validation - CoG Full Pool Phase 1 Phase 2 Phase 3
  16. Scenario Analysis - CoA Irrigation/Dynamic demand
  17. Modeled results - CoA
  18. Drought Forecast-CoA Full Pool Observed Phase 1 Phase 2 Phase 3
  19. Drought Forecast-CoA
  20. Summary and Future Research Need of drought information for small to mid-size communities in ENSO related climate variability prone Southeastern US CWDI methodology developed and tested (validated) for City of Auburn, Alabama and City of Griffin, Georgia Model tested for forecasting drought at 3-6 months scale based on ENSO outlook. Quantify the value of this drought information Impact of drought on supply and demand Knowledge of drought forecast allows mitigation of negative impacts Web-based tool for CWDI
  21. Thank You!
More Related