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.