‘Sand Types’: A new physico-chemical classification of sand and its mapping using conditional strings in ArcGIS10.x
Dinesh A.C. AC,
Nisha N.V. NV,
Rachna Pillai
Abstract:The economic viability of sand in the construction industry depends on its size, shape, shell content, etc. It is imperative to understand the proportions of sand sub-classes and shell content in a sand sediment while planning exploration and mining. The existing sediment classifications (Particle Size Distribution Classifications) based on Sand-Silt-Clay (SSC) or Gravel-Sand-Mud (GSM) of different authors have not addressed these issues and it remains as a gap area till now. Hence, a new physico-chemical clas… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.