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Input data for LSTM and seq2seq LSTM surrogate models for multi-step-ahead street-scale flood forecasting in Norfolk, VA


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Created: Aug 30, 2023 at 6:12 p.m.
Last updated: May 28, 2024 at 9:33 p.m.
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Abstract

This resource includes the input data for LSTM and seq2seq LSTM surrogate models for multi-step-ahead street-scale flood forecasting in Norfolk, VA, USA. The data consists of topographic features: topographic wetness index (TWI), depth to water (DTW) and elevation, and environmental features: hourly rainfall and tide level from gauge stations and water depth generated by the physics-based model TUFLOW.

There are three folders in this resource -
1. The "OriginalData" folder includes the CSV files for the top 20 daily storm events from 2016-2018 for the streets of Norfolk.
2. The "FloodproneStreets" folder includes shapefiles of the street segments (polygons of 7.2 m width x 50 m length) of Norfolk. Alongside, it includes a CSV file containing 22 flood-prone streets selected from the STORM report.
3. The "RelationalDatabase" folder includes three CSV files for node_data (varied spatially), tide_data (varied temporally) and weather_data tide_data (varied spatially and temporally) for efficient data management. The notebook script "create_relational_data.ipynb" is used to convert "OriginalData" to "RelationalDatabase".

The Python script of the LSTM and seq2seq LSTM surrogate models is available on GitHub https://github.com/br3xk/LSTM-and-seq2seq-LSTM-surrogate-models-for-street-scale-flood-forecasting
The output of the model is forecasted hourly water depth on the 22 flood-prone streets with 4-hr and 8-hr lead.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
36.9183°
East Longitude
-76.2159°
South Latitude
36.8387°
West Longitude
-76.3299°

Temporal

Start Date:
End Date:

Content

How to Cite

Roy, B., S. Goldenberg, D. McSpadden (2024). Input data for LSTM and seq2seq LSTM surrogate models for multi-step-ahead street-scale flood forecasting in Norfolk, VA, HydroShare, http://www.hydroshare.org/resource/e5d6d32a320f4bcca679e0bf388c2bcc

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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