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Five open source free hydrologic models that you can use to model runoff of micro to macro watersheds

The principal objective of hydrologic models is to forecast the runoff of a surface water body, especially dendritic systems like rivers, streams, etc. The inputs to these models are generally Rainfall/Precipitation, Soil Characteristics, and other Climatic parameters like evapotranspiration, humidity, etc. LULC and geo-morphology are also used as the required input parameters of the hydrologic models. Both input and output of these models are temporally as well as spatially variable. Now the resolution varies with different models. Some models consider all the sub-basins to be a single watershed and determine the output based on the characteristics of this single watershed(lumped).In contrast, some other models will consider the {impact|effect} of each of the sub-basins on the central outflow of the watershed(distributed).In a few models, the entire watershed is divided into grids or units of uniform dimension. However, the accuracy is highest for the models, which considers the {impa...
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StartUp that replace SCADA Systems in Water Treatment Plants

Startups play a crucial role in addressing these challenges by introducing innovative technologies and solutions for efficient water resource management, ultimately contributing to the sustainability of our planet. and promoting a cleaner environment for future generations.   These new businesses can identify gaps in the current water management systems and develop creative solutions to improve access to clean water sources and combat water pollution. By harnessing the power of technology and entrepreneurship, StartUps can make significant strides in preserving our water resources and ensuring a more sustainable future for all.  Through their dedication and innovation, StartUps are paving the way for a cleaner and healthier environment for generations to come. This Podcast as shared above introduced a StartUp that has replaced SCADA-based systems for Real-Time Water Quality Monitoring in Water Treatment Plants in Tamilnadu, India. Subscribe to me at HydroGeek  for mo...
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Seven new job openings for Hydroinformatics Students

Since the demand for data science experts has suddenly increased over the past few years, the popularity of data science courses has been growing quickly. The importance of such courses has grown significantly due to the need for data analysis techniques that aid in objective and useful decision-making. Expertise in techniques like Decision Tree Techniques, MCDMs, Optimization Techniques, Artificial Intelligence, etc., as well as programming languages like Python, R, etc., is in high demand, particularly in the engineering and management fields of science. Techniques and algorithms, as in any sustainable and developing field, are widely used in water resource management and engineering studies for fast and optimal problem-solving and accurate decision-making. The introduction of ICT technologies such as IoT and other Distributed Control Systems sparked water resource practitioners' interest in data science technologies aided by various algorithms and ICT routines. The interest is s...
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