Climate Responsive Design for Road Surface Drainage Systems

This repository contains code accompanying the manuscript Climate Responsive Design for Road Surface Drainage Systems

Implementation of the algorithm in our 2021 Paper.

🛠️ Using the code

The repository contains three folders

├───data
│   ├───assesment_points
│   ├───bbmpwards
│   ├───blr_SRTM_DEM
│   ├───KMeansClusterRaster
│   ├───k_means_validation
│   └───Sentinel2_10mResolution
├───input
│   └───input.gdb
├───output
│   └───output.gdb 
└───scripts
    ├───.vscode
    ├───cascade_modelling_scripts # code for cascade modelling
    ├───cohen_kappa # code for validation
    ├───gcm_scripts # code for gcm analysis
    └───IDF_scripts # code for non-stationary IDF derivation
    └───main.py # implementation of algorithm
    └───data_download.js # data download from GEE

All three folders are required to run the algorithm and reproduce the result. Input contains all the design road while output contains the result of the algorithm. Folder scripts contains a code to run the analysis.

🏁 Requirements

Tested under python 2.7, ArcGIS 10.7 and Windows 10 OS.

Additional python packages

numpy>=0.3.1

NOTICE: If you do not have ArcGIS 10.7 installed, you would not be able to reproduce the result.

Note: To run the code you need to have ArcGIS 2.7 installed on your machine.

🔀 Local Installation

Step 1: Fork the Repository

Step 2: Clone the Repository by going to your local Git Client and pushing in the command:

git clone https://github.com/amanbagrecha/surface-drainage.git

Step 3: Open main.py and run the python file.

Output is a csv file containing design values for specified roads in the file and feature classes of the road.

To view the catchment area of specified road, open arcGIS and load the X_watershed_with_mean feature class for visual inspection.

Author: Shubham Kalore, Yashas V, Aman Bagrecha, Nypunya J, Sivakumar Babu G L