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MCDM and Optimization

 













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Eight most common impurities observed in water supplied to domestic households

The water supplied to domestic households has many types of contaminants which have the potential to create health irregularities in the consumer family. Among these contaminants, eight most common impurities were identified, and the type of filter which can remove or reduce them was delineated in the figure. Before procuring a water filter remember to see this chart. It will help to understand the impurities that the selected water filter can remove. Any water filters available in the market are generally made of one or more of these filters. To decide wisely use the concepts of MCDM to select your filters. Compare the filters available in the market with respect to Cost, Contaminant Removal Efficiency, Maintenance requirement, and type of filters used and rate each filter based on these factors with the help of AHP or ANP techniques. The result will be the filter that will be most efficient for your use. You can also use the ODM tool to come to a decision regarding the procurement o...
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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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How to apply Cat Swarm Optimization Techniques in real life optimization problems ?

Techniques known as "Cat Swarm Optimisation" (CSO) are based on an optimization algorithm inspired by nature and the collective behavior of cats. CSO mimics the cooperation and communication among a group of cats to tackle complex optimization issues. It is inspired by the hunting behavior and social interactions of cats. These methods' capacity to efficiently explore broad search spaces and identify ideal answers has drawn a lot of attention in recent years.  The capacity of CSO approaches to managing high-dimensional and non-linear optimization issues is one of its main benefits. Because of this, they can be used in a variety of industries and domains, including data mining, engineering, and finance. Furthermore, CSO algorithms are renowned for their resilience and capacity to function in unpredictable and noisy conditions.  You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online c...
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