Skip to main content

FREEWAT : The Free Software for Water Resource Management





What is it?

A free open-source software plugin that integrates three different groups of software that can simulate and optimize water resource-related problems. This software will work as a plugin for Q-GIS software.


What it does?

The software tries to simplify the application of the Water Framework Directive and other EU water-related Directives. by providing an easy-to-use input GUI and a highly sophisticated visualization window that can be integrated with common GIS software.

The software comprises the following tools :

As a composite plugin, FREEWAT is designed as a modular ensemble of different tools. In this framework, the following modules or group of software is available:

  1. Hydro-geological and Hydro-chemical Module: This group of tools will enable users of the software to analyze, interpret, and visualize hydrogeological and hydrochemical data and quality issues. These tools will also focus on advanced time series analysis, which can be integrated into the akvaGIS module.

  1. Hydrology and Water Resource Management Modules: This module comprises tools that will help the user to simulate the models of the hydrological cycle and water resources management (like flow models, transport models, and crop growth models, including management and optimization models (also related to irrigation management and rural issues).)

  2. Statistical Analysis Modules: The software also has a module to perform model calibration, sensitivity analysis, uncertainty quantifications, etc. common statistical analysis tools.


@data_hydrology , @Merchandiseor @@products_sustainability
Add to Listy/

Popular posts from this blog

Introduction to Glowworm Optimization Algorithm

Overview of the Glow Worm Algorithm Explanation of the original Glow Worm Algorithm  The Hybrid Glow Worm Algorithm is an important algorithm to study and understand because of its ability to effectively solve complex optimization problems. By combining the strengths of different algorithms, it offers a flexible and adaptable solution approach that can be applied to various domains. Understanding this algorithm can help researchers and practitioners in developing efficient and effective optimization strategies for their specific problem instances.  The original Glow Worm Algorithm is a swarm intelligence-based optimization algorithm inspired by the behavior of glow worms in nature. It involves a population of virtual glow worms that interact with each other and their environment to find optimal solutions.  The algorithm uses a combination of local and global search strategies, allowing the glow worms to explore and exploit the search space effectively. Additionally, the algorithm incor

Five new ideas for launching agro-start ups

View the image  in original size Agricultural output controls the GDP of a Country. Especially the developing countries largely depend on its agriculture productivity to enhance their socio-economy and livelihood of the local population. Sustaining the profitability of cultivators is one of the major objectives of any government. Water and energy which are the two drivers of agriculture need to be optimally utilized. The uncontrolled and uneven distribution of natural resources, especially water resources, often compromises the agricultural productivity of the water-stressed regions of a country which in turn affects the national GDP of that country.  So optimal management of water and also energy resources in an agricultural location can ensure stability and incrementation of GDP of the country. That is why some apps can be developed and offered commercially to the farmers which can help in not only maximization of agricultural productivity but also it will help in the smart managemen