#risk #model #foundation #research #assessment #input #wildfire

bin+lib risico-2023

risico-2023 Wildfire Risk Assessment Model by CIMA Research Foundation

3 releases

0.3.4 Oct 10, 2024
0.3.3 Aug 29, 2024
0.3.2 Aug 28, 2024
0.3.0 Aug 28, 2024

#71 in Geospatial

Download history 359/week @ 2024-08-26 53/week @ 2024-09-16 15/week @ 2024-09-23 33/week @ 2024-09-30 147/week @ 2024-10-07 13/week @ 2024-10-14

211 downloads per month

EUPL-1.2

145KB
3.5K SLoC

RISICO-2023

RISICO (Rischio Incendi E Coordinamento) is a wildfire risk forecast model written in rust and developed by CIMA Research Foundation. It is designed to predict the likelihood and potential impact of wildfires in a given region, given a set of input parameters.

Project Status

This project is ongoing. We welcome contributions and feedback.

Compiling and Running the Model

To compile and run the model, you will need to have rust installed on your machine.

Compile the project using cargo:

cargo build

Run the model using cargo:

cargo run

Using risico-2023 as library

The risico-2023 model can be used as a library in your rust project, it is published on crates.io. Add the crate to your cargo.toml file or run the following command to add it to your project:

cargo add risico-2023

Usage

This is a minimal example of how to use the risico-2023 crate

// main.rs

use std::{collections::HashMap, sync::Arc};
use chrono::Utc;

// imports
use risico::modules::risico::{
    config::ModelConfig,
    models::{
        Input, InputElement, OutputVariableName, Properties, PropertiesElement, State, Vegetation,
        WarmState,
    },
};

fn main() {
    // let's create a single cell with some properties
    let props = Properties {
        data: vec![PropertiesElement {
            lon: 0.0,
            lat: 0.0,
            slope: 0.0,
            aspect: 0.0,
            ppf_summer: 1.0,
            ppf_winter: 1.0,
            vegetation: Arc::new(Vegetation::default()),
        }]
        .into(),
        vegetations_dict: HashMap::new(),
        len: 1,
    };

    // and its initial state
    let warm_state = vec![WarmState {
        dffm: 40.0,
        ..WarmState::default()
    }];


    // some input data
    let input_data = vec![InputElement {
        temperature: 50.0,
        wind_speed: 20.0,
        humidity: 5.0,
        ..InputElement::default()
    }];

    // let's select the risico model configuration between 'legacy' and 'v2023'
    let config = ModelConfig::new("v2023");
    
    let time = Utc::now();

    // let's create a state 
    let mut state = State::new(&warm_state, &time, config);

    let input = Input {
        data: input_data.into(),
        time,
    };

    // execute the model
    state.update(&props, &input);

    // get the output
    let output = state.output(&props, &input);

    println!("{:?}", output.get(&OutputVariableName::dffm).unwrap());
}

License

See LICENSE file

Dependencies

~5–22MB
~324K SLoC