Quantifying relations and similarities of the meteorological parameters among the weather stations in the Alberta Oil Sands region

Deshmukh, Dhananjay; Ahmed, M. Razu; Dominic, John Albino; Zaghloul, Mohamed Sherif; Gupta, Anil; Achari, Gopal; Hassan, Quazi K.

doi:10.1371/journal.pone.0261610

Cited by 5 publications

(1 citation statement)

References 34 publications

(51 reference statements)

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“…As shown in Section 2.1, all watersheds have approximately similar physical characteristics. Weather data for all four watersheds showed adequate similarity based on Pearson correlation coefficients (r) for precipitation and maximum and minimum temperature (r > 0.99), and average absolute error for average temperature and precipitation (0.11 mm for precipitation and 0.20 • C for temperature) as suggested by Deshmukh et al (2022).…”

Section: Similarity Based Regionalization (Sbr)mentioning

confidence: 82%

Watershed Model Parameter Estimation in Low Data Environments

Garna

Fuka

White

et al. 2021

Preprint

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Watershed models are essential for evaluating the impact of watershed management; however, they contain many parameters that are not directly measurable. These parameters are commonly estimated by calibration against observed data, often streamflow. Unfortunately, many areas lack long-term streamflow records, making parameter estimation in low data environments (LDE) challenging. A new calibration technique, simultaneous multi-basin calibration (MBC), was developed to estimate model parameters in LDE. Three Soil and Water Assessment Tool (SWAT) model initializations for USGS gages with ~ 2-year records in the Lake Champlain Basin of Vermont, USA, were evaluated by comparing MBC and the commonly used similarity-based regionalization (SBR) approach, where calibrated parameters from a watershed with an extended data record are transferred to the LDE receptor watersheds. In MBC, each watershed is initialized, and observed flows from each initialization are aggregated to generate a combined streamflow record of sufficient length to calibrate using a differential evolution algorithm. New hydrological insights for the region: Using this new MBC method, we demonstrate improved model performance and more realistic model parameter values. This study demonstrates that short periods of hydrological measurement from multiple locations in a basin can represent a system similarly to long term measurements and that even short records taken at multiple locations significantly improve our hydrologic knowledge of a system as compared to relying on the similarity of a basin with a long record of flow. In addition, this study revealed that the hydrologic response is mediated by the interplay of very low soil-saturated hydraulic conductivity (Ksat) and cracking soils. As a result, even if Ksat is very low, cracking clays have a large impact on runoff production Garna et al. (2022). IntroductionWatershed scale hydrological models are often used to quantify and predict diverse and complicated hydrologic system behavior and are often used to manage environmental and water resources. A process based hydrological model consists of equations and parameters that describe watershed processes such as snow accumulation, groundwater flow, runoff generation, and

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Section: Similarity Based Regionalization (Sbr)mentioning

confidence: 82%