I am doing research and as part of this need to develop model real-time model
for sediment study but not getting how to start
Dear Deepa Naik ,
To develop a sccessful programming model for sediment study I would like to suggest you the following articles to assist you futher:
Article Development of a global sediment dynamics model
https://www.mdpi.com/2071-1050/13/9/4648/pdf
Article Sediment transport modeling in non-deposition with clean bed...
Sediment is a very complex subject. Surface erosion, mass failures, streambank erosion, gully enlargement, land uses, localized sediment deposition, effects of ground or instream activities, changes with rainfall intensity and flow rates, floods, fine sediments, coarse sediments or bedload, stream types, etc. There are several existing models that might be helpful such us RUSLE, WEPP, etc. to review or try to calibrate to your conditions. But realistically, consider selecting an experimental watershed with rainfall, flow, sediment, land use, and other pertinent data, and try to model that. Realistically, consider reining in the proposal to something achievable. Real time, also difficult to do, even with a highly instrumented study.
Start with a simple question. First problem: reliable data about sediment, collected on a consistent basis, is hard to find. Begin by writing a simple questionnaire based on what you already know about sediment. Ask yourself a simple question such as: 'What was the proportion of biological input to this rock sample, ranging fro very high for a limestone to very low for an evaporite, with shale somewhere in the middle.' Then collect 1000 rock samples at random from your target area. Now, list your personal 'quick look' percentage estimate of its biological content for each numbered sample . Next ask 100 colleagues and students each to make the same quick look estimate of biological input for each of 10 samples, with their numbers chosen at random by each anonymous participant; note and list each percentage estimate, until you have 1000 numbered estimates. Finally, write a simple program to analyse your 2000 data points using MS Excel.
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