A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)
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Updated
Dec 8, 2022 - Python
A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)
The ecobio-redemiatech-core repository serves as the foundational codebase for the EcoBio Redemiatech initiative. It includes essential algorithms, genetic engineering protocols, and synthetic biology tools designed for the development and optimization of genetically engineered microorganisms aimed at environmental remediation.
Python interface to the RTE+RRTMGP Fortran software package
Python package for calculating Air Quality Index (AQI) based on CONAMA Resolution 491/2018 standards. Supports PM10, PM25, SO2, NO2, CO, O3.
Scripts from paper Halloran and Hunkeler (2020), Science of the Total Environment 722, 137749. doi.org/10.1016/j.scitotenv.2020.137749
Python implementation of Universal Thermal Climate Index (UTCI) - accurate outdoor thermal comfort assessment based on meteorological data
This package calculate a mass balance in the surface mixed layer in lakes using a 1D horizontal dispertion model
Advanced framework combining 2D contaminant transport simulation (advection–diffusion) with machine learning to classify ecological risk (Low/Medium/High) and generate dashboards, GIFs, and reports.
Database design and tools for collecting compound names to identify and determine their ecotoxicological hazard profiles
Open-source water data aggregation toolkit with AI-powered research methodology recommendations. Collects from Taiwan MOENV, WRA, USGS, UN SDG 6.
Windows desktop application powered by Tkinter that enables simple water quality monitoring of some of the Chesapeake Bay's many watersheds.
Data-driven tool for analyzing environmental changes in lake ecosystems, supporting long-term forecasting and academic research.
AI-driven spatio-temporal analysis of air quality data (PM10/PM2.5) with uncertainty-aware forecasting.
information of companies attending siww 2018
What’s In Your Soil? A Citywide Investigation of the Importance of Soil Lead for Predicting Elevated Blood Lead Levels in Chicago
Nationwide calibration of PurpleAir temperature sensors using machine learning
Small population models demo for students.
Interdisciplinary water quality monitoring system combining GIS, Environmental Science, and Computer Science to address South Africa's water challenges
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