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Can I have answer for this 2 question please Model (Assessment and monitoring of

ID: 234450 • Letter: C

Question

Can I have answer for this 2 question please Model (Assessment and monitoring of air and water quality) a) Explain the use of forward and backward trajectory for air quality study by using HYSPLIT Model.
b) Why clustering is important for HYSPLIT Mode Can I have answer for this 2 question please Model (Assessment and monitoring of air and water quality) a) Explain the use of forward and backward trajectory for air quality study by using HYSPLIT Model.
b) Why clustering is important for HYSPLIT Mode Model (Assessment and monitoring of air and water quality) a) Explain the use of forward and backward trajectory for air quality study by using HYSPLIT Model.
b) Why clustering is important for HYSPLIT Mode a) Explain the use of forward and backward trajectory for air quality study by using HYSPLIT Model.
b) Why clustering is important for HYSPLIT Mode

Explanation / Answer

answer- a- HYSPLIT (Hybrid Single particle Lagrangian integrated trajectory) model is complete system for computing simple air parcel trajectories, trasport, dispersion, chemical transformations. It is commonly used in atmospheric transport and dispersion model. the back trajectory of HYSPLIT model is used to determine the origin of air masses. This Model is used to determine the forward and backward trajectories of air masses. and it useful for interpretation air air quality event. Forward trajectories analysis is used for ascertaining of origins and source of pollutants. And Backward trajectories analysis is used fot determining the dispersion of pollutant.

application of backward trajectory are following

In synoptic meterology- in investigation air mass flow around mountain

In identify the pathways of water vapor transport

establish the source and receptor relationship of air pollutants

B- air mass trajectory clustering is used to reveal the relationship between the atmospheric transport pathways and pollution levels. It requires large numbers of single trajectory files. Clustering is the approach to merge trajectory.

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