i-Tree Hydro

Application Overview

i-Tree Hydro is a flexible tool for users interested in comparative analyses of different land cover scenarios and their hydrological impacts at various scales. This tool is intended to be simple enough for nonexperts to use, yet robust enough to provide defensible first-looks at the potential hydrological impact of land cover changes.

What is Hydro?

Hydro is a stand-alone application designed to simulate the effects of changes in urban tree cover and impervious surfaces on the hydrological cycle, including streamflow and water quality, for watershed and non-watershed areas. It is the first vegetation-specific urban hydrology model, developed to model urban vegetation effects so natural resource managers and urban planners can quantify the impacts of changes in tree and impervious cover on local hydrology to aid in management and planning decisions.

Hydrology processes image

Hydro is a combination of two modules. A base module designed to simulate hourly changes in stream flow due to changes in urban tree and impervious cover characteristics and a water quality module that uses outputs from the base program to simulate changes in water quality.

Ease of use guides development of i-Tree Hydro. Data requirements can be satisfied using preloaded and freely available data sets, and model flexibility allows for both watershed and non-watershed areas to be assessed. Navigating through project setup is simplified with clear steps, integrated help text within a user-friendly interface, and additional help text online. Understanding and making use of project results is made easy with an Executive Summary, various reporting options, and the ability to export outputs.

i-Tree Hydro V5 features

The latest Hydro version offers several features which extend the use of Hydro beyond the watershed to the city scale. Here are some of the features you'll find in i-Tree Hydro version 5:

  • Users can now select a U.S. city and simulate water flow and water quality changes qualitatively, modeling tree and impervious cover changes and considering the relative changes in predictions between scenarios.
  • Topographic indexes for U.S. cities, counties, states, and watersheds are now available, which eliminates the need for GIS skills to produce and import a digital elevation model.
  • A new Hydro executive summary report provides a quick snapshot of model simulation results.
  • Enhanced graphics flexibilities, export options, and a DEM visualization option support model simulation results.
  • Hourly United States weather data and steamflow data are now available for 2005 - 2012.
  • An auto-calibration tool allows watersheds to be modeled quantitatively by finding a parameter set that effectively matches predicted streamflow with observed streamflow for base case (current) watershed conditions.
  • A user-friendly dynamic help panel explains terminology and guides users through the entire modeling process.

Upcoming i-Tree Hydro V6 Enhancements

Currently in development and planned for beta release in late 2016, i-Tree Hydro V6 includes a number of improvements based on research developments and feedback we've received from a broad user base. Here are some of the enhancements you'll find in i-Tree Hydro version 6.

Planned for initial release:

  • Green infrastructure land cover types are included with unique parameterization for tree pits, rain gardens, green roofs, rain barrels, and porous pavement. Through those classes, other types of green infrastructure can also be simulated, including bioswales, bioretention basins, and green corridors.
  • Outputs for specific hydrologic processes for trees and green infrastructure types, including interception, infiltration, evapotranspiration, and more.
  • More than 2 land cover scenarios can be stored within one project and modified within the same window, making it easier to organize and keep track of multiple comparisons.
  • Each scenario can be paired with a unique parameter set, greatly increasing the model's flexibility for comparing subtly or drastically different land cover scenarios.
  • A unique set of pollutant coefficients (Event Mean Concentration) values can be applied to projects, instead of using the national U.S. average, as a basis for water quality predictions.
  • Updated and improved scientific methods in the model's backend code.
Planned for future updates of V6:
  • Design Rain tool for simulating storms using regional NOAA data and Intensity-Duration-Frequency (IDF) curves for the United States.
  • Curve Number tool for simple runoff prediction using the NRCS TR-55 method based on small-catchment hydrology studies, and built-in comparison of Curve Number model & Hydro model results.
  • Climate-based simulations to assess the impact of land cover changes within 25-year past and projected-future climate conditions, based on the international, high-resolution NARCCAP model.
  • Preloaded localized soil parameters from NRCS SSURGO data for the entire United States.
  • Preloaded localized pollutant coefficients based on recent research from the USDA Agricultural Research Service and Hydro model developers.

Hydro Learning Resources and FAQs

  • Visit the Hydro section of the Resources - Archives page to view technical papers and journal articles describing the underlying Hydro model methodology.
  • Find answers to numerous Hydro project setup and parameter questions by visiting the i-Tree Forum's Hydro FAQs section.
  • View instructional videos and webinars at the i-Tree Video Learning page.
  • View past webinars and presentation materials at the i-Tree Presentation page.
  • See how other users are applying i-Tree Hydro on the i-Tree Reports page.

What will Hydro tell me?

Given various changes in tree and impervious cover characteristics provided by the users, Hydro will quantify and illustrate hourly and total changes in stream flow and water quality. Data will be presented in tabular summaries as well as through graphs (hydrographs or bar graphs) that illustrate the changes between the base case (conditions as they are now) and an alternate case specified by the user.

Why is the information produced by Hydro important?

Urbanization significantly alters stream flows and water quality due to increased impervious surfaces, increased pollutants emitted from various sources and decreases in natural vegetation cover. These changes lead to increased runoff and flashiness of stream flow after storms, potential flooding issues, and poorer water quality that affect human health and well-being.

Through the Clean Water Act, the U.S. Environmental Protection Agency has designated various water quality requirements that affect city managers. As trees affect the environment, the ability to quantify these effects could lead to the incorporation of urban vegetation management strategies (and potential funding) to help meet these environmental regulations. Urban trees can potentially be used to meet clean water regulations associated with Total Maximum Daily Loads (TMDLs) and storm water programs.

How can Hydro help urban natural resource managers & urban planners?

The Hydro model could be used to explore how various best management practices (including urban forestry) affect water quality. In addition, by altering the precipitation inputs to simulate storms of various intensities, the model can be used to assess how management practices can affect local stream responses to storms. Model results can be used to inform urban forest management and urban planning and design to help improve water quality and reduce the risk of flooding.

Who developed Hydro?

The i-Tree Hydro model was originally developed by Drs. Jun Wang SUNY College of Environmental Science and Forestry (SUNY-ESF), Ted Endreny (SUNY-ESF), and David J. Nowak, USDA Forest Service, Northern Research Station (USFS-NRS). The model code has been improved and integrated within i-Tree based on the work of Megan Kerr (Davey Institute), Yang Yang (SUNY-ESF), Sanyam Chaudhary (Syracuse University), Rahul Kumbhar (Syracuse University), Yu Chen (Syracuse University), Thomas Taggart (SUNY-ESF), Shannon Conley (SUNY-ESF), Yu Chen (Syracuse University), Pallavi Iyengar (Syracuse University), Jeevitha Royapathi (Syracuse University), Isira Samarasekera (Syracuse University), Vamsi Kodali (Syracuse University), and Sunit Vijayvargiya (Syracuse University). Topographic Index calculations have been improved with algorithms developed for WhiteBox GAT (Lindsay, 2016) with permission by its creator John Lindsay, PhD (University of Guelph).

Many other individuals have contributed to the design, development, testing process, and help text including Andrew Lee (SUNY-ESF), Robert Hoehn (USDA Forest Service), Tian Zhou (SUNY-ESF), Scott Maco (Davey Institute), Mike Binkley (Davey Institute), Lianghu Tian (Davey Institute), David Ellingsworth (Davey Institute), Alexis Ellis (Davey Institute), Allison Bodine (Davey Institute), Dr. Jim Fawcett (Syracuse University), Emily Stephan (SUNY-ESF), and Robert Coville (Davey Institute). The original manual was written & designed by Kelaine Vargas (Davey Institute), and it has been updated by Robert Coville (Davey Institute).