I have rainfall data for the last 30yrs, and Soil Textural classfication data for the study area (field methods, 2018). I would like to clacluate the soil erosion for my study area. My query is that, how can we interpolate the erosion risk by examining the annual rainfall data for the last 30 yrs and soil classification data for this year. How can we correlate both?
All depending what model or equation do you want to use. e.g. RUSLE.
I think the textural classification could be similar for all years if your area has no suffered big changes such as land use change, wildfires, afforestation works....
However if you want to do something just correlating your soil classification and your rainfall data you can only make assuptions, as far as I know.
I hope this will help you
Soil erosion will depend on soil use, do you have any soil use data? Are you considering what is covering the soil? otherwise, it is just an estimation considering soil without coverage.
Thank you for all your relaiable responses. I am using the RUSLE model to estimate the erosion. I studied the literature sources and summerised that Soil data (erodability factor is stable, constant) for one year is sufficeint, because the soil data is not counted by the years, its based on the types (i.e. particle size classification).
As mentioned by Ofelia, you will need the data about crops (soil use). Without that, you cannot do even a rough estimation of soil loss. The crops are needed to set correctly the crop management factor (one of the components of RUSLE). Having no information about crops, you can only estimate the maximum potential value (upper limit) of soil loss considering C factor equal 1. The value close to the reality will then be something smaller than this as the value of C factor varies theoretically from 0 to 1.
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