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A spreadsheet (lotus 1‐2‐3) based technique for analysing storm suspended sediment data with particular reference to logging disturbance in tropical forests
Author(s) -
Greer Tony,
Bidin Kawi,
Douglas Ian
Publication year - 1998
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/(sici)1096-9837(199812)23:13<1235::aid-esp926>3.0.co;2-3
Subject(s) - hydrograph , storm , sediment , hydrology (agriculture) , environmental science , logging , rating curve , drainage basin , soil science , geology , geotechnical engineering , ecology , paleontology , oceanography , cartography , geography , biology
The procedure describes a simple and functional method of using a commercial spreadsheet (Lotus 1‐2‐3) to calculate water and sediment yields from measured or given data sets. Suspended sediment concentrations are located on a storm hydrograph and concentrations for unsampled points on the hydrograph are estimated using the principle that the change in concentration between two sampled points will be proportional to the change in discharge between the same two points. The relationships are then solved by a cross‐correlation equation using simple formulae in the form of triangle‐square equations to calculate water and sediment yields between each sample time. The technique is applied to a 51 month data set from a long‐term monitoring programme assessing the impacts of commercial logging operations in Sabah, East Malaysia. Yields for the monitoring period derived by the spreadsheet technique are compared with results from the application of more traditional discharge‐sediment rating techniques. In the undisturbed catchment, yields derived from some rating equations compare favourably with the spreadsheet technique. However, in the disturbed catchment, rating techniques proved less applicable because of the continuously changing nature of the catchment in relation to vegetation recovery, exacerbating variation and scatter in the data set. The application of the spreadsheet technique provides detailed information at an individual storm level; however, working with the method on long‐term discharge records requires a significant commitment of time as compared to the straightforward application of rating equations. Copyright © 1998 John Wiley & Sons, Ltd.