ABSTRACT:

Water Use and Supply Data over the US at HUC8 scale

ABSTRACT:

This file contains a HydroLearn learning module on flood protection in Beau Bassin case study. A direct link to the original HydroLearn module is available here: https://edx.hydrolearn.org/courses/course-v1:HydroLearn+HydroLearn402-1+2019_S2/about

The file is exported from the HydroLearn platform and can be imported back into HydroLearn to create a new course and adapt it as per the user need. The file is not intended to be opened and edited on its own, but rather inside HydroLearn. To use the original module without any modifications, please visit the HydroLearn page at https://edx.hydrolearn.org/courses/course-v1:HydroLearn+HydroLearn402-1+2019_S2/about

ABSTRACT:

Lightning presentation and workshop presented at CUAHSI HydroInformatics Conference, 2019. https://www.cuahsi.org/community/cuahsi-science-meetings/

This workshop is offered for hydrology faculty interested in implementing or adapting active-learning, data-driven resources to their educational settings. The workshop aspires to create faculty networking and development opportunities with the overall goal of promoting and reducing barriers against adoption of active-learning resources in hydrology. The workshop will use the recently developed NSF-sponsored HydroLearn platform, along with resources from CUAHSI, HydroShare and other community platforms, to enable participating faculty to develop and share educational resources. The workshop will showcase existing seed modules and will cover best practices in developing student-centered learning activities, including the design of pedagogically-sound learning objectives and assessment rubrics. Faculty who currently teach hydrology-related courses are encouraged to participate, especially those who teach undergraduate or early-level graduate courses. Interested faculty may also be invited to participate in a follow-up funded fellowship program to engage in a semester-long adoption and field testing of the HydroLearn platform and its content. The workshop will be jointly conducted by hydrology faculty along with an expert in education research.

ABSTRACT:

Testing matlab code online

ABSTRACT:

This is a MATLAB script that is part of Learning Activity 2: "Analysis of Vegetation Damage Caused by an Hurricane" in the following HydroLearn Module:
Maggioni V., Girotto M., E. (2020). Remote Sensing Applications in Hydrology. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:GeorgeMasonUniversity+CEIE742+Fall2020/course/

ABSTRACT:

The GIS layers and data in this resource are derived from the study on flood risk and potential solutions within a flood-prone community in South Louisiana, USA. The analysis leverages the Version 1 (V1) National Structure Inventory dataset in conjunction with the 500-year flood inundation map for Lafayette Parish. The objective was to quantify and analyze the damage and loss to buildings at both an individual and census block level due to potential flood scenarios. To calculate the potential damage, we utilized HAZUS, a nationally standardized methodology developed by the Federal Emergency Management Agency (FEMA) for estimating potential losses from disasters. HAZUS applies scientific and engineering principles to assess physical damage, economic losses, and social impacts of disasters. The resulting GIS layers represent a critical component of the spatial analysis, offering detailed insights into the spatial distribution of flood risk and the potential economic impact on the community's infrastructure. This documentation aims to provide future users with a comprehensive understanding of each GIS layer. Further details on the methodology behind each layer's production are provided in the sections below.

ABSTRACT:

This software implements the Louisiana Watershed Initiative (LWI) stream naming algorithm, which is part of the LWI model data naming conventions. These conventions define the naming of physical features (watersheds, streams) as well as HEC-HMS hydrologic and HEC-RAS hydraulic model elements to be incorporated in watershed models developed under the auspices of the LWI.

Faithful application of these standards is critical to ensuring that LWI models are of high quality and are consistent with each other, to the greatest extent practicable. Consistency between models enables interoperability of models between geographies (e.g. coupled HUC8 watersheds) and across modeling frameworks (e.g. integrating HEC-RAS models with ADCIRC in the coastal zone).

License:
Louisiana Watershed Initiative (LWI) Stream Naming Convention Algorithm. Copyright (C) 2021-present State of Louisiana, Division of Administration, Office of Community Development.

This software program was developed by researchers at the Louisiana Watershed Flood Center of the University of Louisiana at Lafayette with funding from the State of Louisiana, Division of Administration, Office of Community Development under the LWI program. The LWI is funded by Community Development Block Grant Mitigation funds from U.S. Department of Housing and Urban Development.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

ABSTRACT:

This resource contains GIS layers necessary to reproduce the analysis of the paper "Stakeholder-Driven Design of a Flood Risk Streamflow Monitoring Network for Louisiana, USA" submitted to the Journal of American Water Resources Association (JAWRA). The analysis of this paper is focused on designing a streamflow gauge monitoring network as part of the Louisiana Watershed Initiative (LWI) program to enhance the hydrologic modeling and monitoring capabilities of the state of Louisiana. The monitoring network is optimized to capitalize on the resources made available by the LWI program while serving the needs of the local, regional, and federal stakeholders in Louisiana as much as possible. The factors taken into the optimization algorithm included the collected feedback from the stakeholders, as well as a variety of geospatial and geomorphic characteristics of the Louisiana stream network. The analysis also used the current and past conditions of stream monitoring (e.g., existing and discontinued USGS locations). A final set of 123 stream gauges were selected to be deployed. The shapefile containing this set of gauges is also included in this resource.

ABSTRACT:

This dataset provides an inventory of drainage gates and associated hydraulic infrastructure in Region 4, Guyana. The dataset includes 65 gate records with information on structure identification, geographic location, projected coordinates, number of gate openings, invert elevations, opening widths, available gate heights, and selected road and drainage invert elevations.
Additional field observations document structure conditions and associated infrastructure, including non-operational gates, pump stations, mobile pumping facilities, and different gate configurations. Several entries identify measurements requiring further verification.
The dataset is intended to support drainage infrastructure assessments, hydraulic and hydrodynamic modeling, flood risk analysis, and the development and evaluation of drainage management strategies. The inventory can also serve as a reference for future field verification, infrastructure assessments, and operational planning.
The data are provided in CSV format. Some attributes are incomplete or subject to verification. The coordinate reference system and vertical datum should be confirmed before integrating the dataset into geospatial and hydraulic modeling applications.

ABSTRACT:

This dataset provides a georeferenced inventory of drainage gates and associated hydraulic structures in Region 4, Guyana, developed to support hydrodynamic flood modeling and drainage infrastructure assessment. The inventory comprises 67 structure records based on field surveys conducted by local surveyors contracted through an NSF-funded research project (Award No. 2426270). The dataset includes structure identifiers, geographic and projected coordinates, number of gate openings, invert elevations, opening widths, available gate heights, and selected field observations and comments. Surveyed elevations are reported in meters relative to Georgetown Datum (mGD).

The dataset is provided in CSV and GIS shapefile formats. Shapefile geometry is referenced to WGS 84 geographic coordinates (EPSG:4326), while the Eastings and Northings attributes are consistent with WGS 84 / UTM Zone 21N (EPSG:32621). The inventory is intended to support hydraulic and hydrodynamic modeling, evaluation of drainage infrastructure, and investigations of flood risk and adaptation in Region 4. Some attributes are incomplete, and selected measurements were flagged for verification in the original survey records. Users should consult the accompanying documentation and exercise appropriate caution when incorporating these data into hydraulic models or other engineering applications.

ABSTRACT:

https://ulfloodcenter.github.io/guyana-rainfall-validation

This resource provides an interactive dashboard evaluating NASA Global Precipitation Measurement (GPM) IMERG Version 07 rainfall estimates against ground-based rainfall observations in Guyana. The assessment supports the evaluation of satellite-derived precipitation as rainfall forcing for hydrodynamic flood modeling using HEC-RAS 2D.

The primary validation covers 2020–2021 and includes nine rainfall stations and 6,517 paired gauge-day observations. The analysis examines cumulative rainfall bias, daily agreement, rainfall occurrence, spatial variability, intensity-dependent bias, seasonality, and selected rainfall events.

Results indicate that IMERG reproduces overall rainfall volume reasonably well, with a pooled bias of approximately −2%. However, station-level biases range from approximately −18.6% to +19.4%, and daily rainfall exceeding 100 mm is underestimated by approximately 52% in the available sample. These findings demonstrate the importance of evaluating rainfall products beyond aggregate rainfall totals, particularly when applied to flood modeling.

The resource includes an archived HTML dashboard and accompanying README documentation. The live interactive dashboard is available at https://ulfloodcenter.github.io/guyana-rainfall-validation/.

This work was conducted at the University of Louisiana at Lafayette's Louisiana Watershed Flood Center as part of NSF Award No. 2426270.

ABSTRACT:

This dataset provides a georeferenced inventory of drainage gates in Region 4, Guyana, developed to support hydrodynamic flood modeling and drainage infrastructure assessment. The inventory comprises 67 structure records based on field surveys conducted by local surveyors contracted through an NSF-funded research project (Award No. 2426270). The dataset includes structure identifiers, geographic and projected coordinates, number of gate openings, invert elevations, opening widths, available gate heights, and selected field observations and comments. Surveyed elevations are reported in meters relative to Georgetown Datum (mGD).

The dataset is provided in CSV and GIS shapefile formats. Shapefile geometry is referenced to WGS 84 geographic coordinates (EPSG:4326), while the Eastings and Northings attributes are consistent with WGS 84 / UTM Zone 21N (EPSG:32621). The inventory is intended to support hydraulic and hydrodynamic modeling, evaluation of drainage infrastructure, and investigations of flood risk and adaptation in Region 4. Some attributes are incomplete, and selected measurements were flagged for verification in the original survey records. Users should consult the accompanying documentation and exercise appropriate caution when incorporating these data into hydraulic models or other engineering applications.

Interactive map: View the interactive map of surveyed drainage gates in Region 4, Guyana: https://ulfloodcenter.github.io/Surveys-of-Drainage-Gates-in-Region-4-Guyana/