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:

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/.