1 AIT Asian Institute of Technology

Dry season streamflow forecasting

AuthorDharmaratnam, Ravindran
Call NumberAIT RSPR no. WA-85-09
Subject(s)Stream measurements

NoteA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementResearch studies project report ; no. WA-85-09
AbstractIn view of the stochastic nature of rainfall, wet season streamflow forecasting is an inherently difficult task. However, dry season forecasting does not suffer from this difficulty, and thus simple forecasting methods should suffice. This study shows that in the case of dry season streamflow forecasting that simple linear regression models work as well as conceptually sophisticated forecasting models. Thus, the use of the more advanced techniques which demand expensive resources in terms of computer time and expertise may not be justified, at least in the case of dry season flows.
Year1985
Corresponding Series Added EntryAsian Institute of Technology. Research studies project report ; no. WA-85-09
TypeResearch Study Project Report (RSPR)
SchoolSchool of Engineering and Technology (SET)
DepartmentOther Field of Studies (No Department)
Academic Program/FoSWater Resources Research Engineering (WA)
Chairperson(s)Nielsen, Mogens Dyhr
Examination Committee(s)Tawatchai Tingsanchali ;Gupta, Ashim Das
Scholarship Donor(s)Australian Government ;
DegreeResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 1985


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