Persistent Identifier
|
doi:10.18738/T8/XN3TE0 |
Publication Date
|
2020-03-18 |
Title
| HAWQS System and Data to model the lower 48 conterminous U.S using the SWAT model |
Alternative URL
| https://hawqs.tamu.edu |
Other Identifier
| Texas A&M AgriLIFE Research |
Author
| HAWQS (Texas A and M University System) - ORCID: 0000-0001-8375-6038 |
Point of Contact
|
Use email button above to contact.
Srinivasan, Raghavan (Texas A and M University) |
Description
| The Hydrologic and Water Quality System (HAWQS) is a web-based modeling platform that utilizes the Soil and Water Assessment Tool (SWAT) for regional to nationwide assessments of different scenarios for water quality and hydrology. HAWQS allows users to easily create watershed models aggregated across multiple spatial and temporal scales. HAWQS users can select from three watershed scales or hydrologic unit codes (HUCS) – 8-digit ~700mi2; 10-digit ~227 mi2; and 12-digit ~40mi2 – and from daily, monthly, or annual estimates of water quality – to run simulations. HAWQS provides users with interactive web interfaces and maps. Pre-processed model input data are derived from existing nationwide datasets including the National Hydrography Dataset (NHD), NCDC, PRISM, NEXRAD, Crop Data Layer (CDL), National Land Cover Dataset (NLCD), STATSGO soils data, National Inventory of Dams (NID), and the National Agricultural Statistics Service (NASS). A full list of HAWQS input data can be found at https://hawqs.tamu.edu/content/docs/HAWQS-Input-Database-Citation.pdf. These datasets in some cases have been improved or edited to provide standardized input data into the users’ model. Users can input custom values for their model parameters, to create scenarios about land-use change, altered climate, and various crop management strategies. HAWQS also allows users to analyze their model outputs through default tables and charts, in addition to raw output data. HAWQS provides a user guide and use cases, as well as the online execution and storage of a user's modeling projects. The United States Environmental Protection Agency (USEPA) Office of Water supports and provides project management and funding for HAWQS. The Texas A&M University Spatial Sciences Laboratory and the USEPA subject matter experts provide ongoing technical support including system design, modeling, and software development. Initial project support and guidance was provided by the United States Department of Agriculture – Agricultural Research Service (USDA-ARS). Further details on the HAWQS can be found at https://hawqs.tamu.edu/. (2019-07-03) |
Subject
| Agricultural Sciences; Earth and Environmental Sciences; Engineering |
Keyword
| Water, Water quality, land use, climate impact |
Related Publication
| Fant, C.; Srinivasan, R.; Boehlert, B.; Rennels, L.; Chapra, S.C.; Strzepek, K.M.; Corona, J.; Allen, A.; Martinich, J. Climate Change Impacts on US Water Quality Using Two Models: HAWQS and US Basins. Water 2017, 9, 118. https://doi.org/10.3390/w9020118 Yen, H.; Daggupati, P.; White, M.J.; Srinivasan, R.; Gossel, A.; Wells, D.; Arnold, J.G. Application of Large-Scale, Multi-Resolution Watershed Modeling Framework Using the Hydrologic and Water Quality System (HAWQS). Water 2016, 8, 164. https://doi.org/10.3390/w8040164 doi: http://hawqs.tamu.edu |
Production Date
| 2019-07-03 |
Production Location
| College Station, Texas |
Depositor
| Srinivasan, Raghavan |
Deposit Date
| 2019-07-03 |
Time Period
| Start Date: 2019-07-03 |
Date of Collection
| Start Date: 2019 ; End Date: 2024 |
Data Type
| SWAT model inputs for all the watersheds at HUC 8, 10, and 12 digit watersheds for the lower 48 states. |
Software
| SWAT, HAWQS, Version: 1.0 |
Data Source
| https://hawqs.tamu.edu/content/docs/HAWQS-Input-Database-Citation.pdf |
Origin of Historical Sources
| https://hawqs.tamu.edu/content/docs/HAWQS-Input-Database-Citation.pdf |
Documentation and Access to Sources
| https://hawqs.tamu.edu/ |