Date of Award

Spring 4-30-2018

Semester of Degree


Document Type

Open Access Thesis

Degree Name

M.S. in Environmental Resources Engineering


Environmental Resources Engineering

Major Professor

Neil Murphy


Lindi Quackenbush

Steering Committee Member

Stephen Shaw


This work utilizes four hydrologic models based on simple water balance and Soil Conservation Service (SCS) runoff curve number methods to analyze watershed characteristics for the Pskem River watershed in Central Asia. We collected comprehensive information about streamflow, temperature, and precipitation for the Pskem watershed, determined land cover features affecting streamflow conditions such as glaciers and analyzed climatic characteristics in the watershed. We compared four increasingly complex hydrologic models to estimate streamflow for water years 2013–2015 and to determine if the increased complexity provided accuracy or computational advantages. The coefficients of determination of the final hydrologic models (in order of increasing complexity) for monthly streamflow were 0.84, 0.77, 0.93 and 0.85, suggesting that there are moderate requirements of model adjustment needed. Parameters used for streamflow modeling were estimated using extensive calibration and remote sensing techniques and could also be applied to other watersheds that have similar characteristics.