Representing Local Dynamics of Water Resource Systems through a Data-Driven Emulation Approach

zandmoghaddam, shahin

doi:10.1007/s11269-019-02319-3

Cited by 12 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The WRMM follows the Alberta Water Act to prioritize water demand and optimize the balance between social, economic, and environmental benefits [71]. The water demand in the model is categorized into local and regional demand, similar to [72]. The water balance in the reservoir is presented in Equation (11).…”

Section: Water Allocation Modelmentioning

confidence: 99%

Evaluating Climate Change Effects on a Snow-Dominant Watershed: A Multi-Model Hydrological Investigation

Sharifinejad,

Hassanzadeh

2023

Water

Self Cite

View full text Add to dashboard Cite

Assessing the impact of climate change on water systems often requires employing a hydrological model to estimate streamflow. However, the choice of hydrological model, process representation, input data resolution, and catchment discretization can potentially influence such analyses. This study aims to evaluate the sensitivity of climate change impact assessments to various hydrological modeling configurations in a snow-dominated headwater system in Alberta, Canada. The HBV-MTL and GR4J models, coupled with the Degree-Day and CemaNeige snowmelt modules, were utilized and calibrated using point- and grid-based climate data on lumped and semi-distributed catchment discretization. The hydrological models, in conjunction with a water allocation model, were supplied with climate model outputs to project changes in the basin. While all models revealed a unanimous increase in peak flow, the difference between their estimations could be as substantial as 42%. In contrast, their divergence was minimal in projecting median flow. Furthermore, most models projected an aggravated water supply deficit between 16% and 40%. Overall, the quantified climate change impacts were the most sensitive to the choice of snow routine module, followed by the model type, catchment discretization, and data resolution in this snow-dominant basin. Therefore, particular attention should be given to the proper representation of snowmelt processes.

show abstract

Section: Water Allocation Modelmentioning

confidence: 99%

Evaluating Climate Change Effects on a Snow-Dominant Watershed: A Multi-Model Hydrological Investigation

Sharifinejad,

Hassanzadeh

2023

Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…To avoid dimensional inconsistencies and scaling issues, regional hydropower and climate time series should be first mapped into a homogeneous space. We considered standardizing data within 0.1 and 0.9 to allow extrapolation capability in both predictors and predict beyond the observed range [115,116]. Here, four schemes for setting up the autoregressive models are considered that differ from one another in terms of how climate causes are considered within the formulation of the autoregressive models.…”

Section: Developing Predictive Models For Regional Hydropower Productionmentioning

confidence: 99%

Alterations in Canadian Hydropower Production Potential Due to Continuation of Historical Trends in Climate Variables

Jabbari¹,

Nazemi²

2019

Resources

Self Cite

View full text Add to dashboard Cite

The vitality, timing, and magnitude of hydropower production is driven by streamflow, which is determined by climate variables, in particular precipitation and temperature. Accordingly, changes in climate characteristics can cause alterations in hydropower production potential. This delineates a critical energy security concern, especially in places such as Canada, where recent changes in climate are substantial and hydropower production is important for both domestic use and exportation. Current Canadian assessments, however, are limited as they mainly focus on a small number of power plants across the country. In addition, they implement scenario-led top-down impact assessments that are subject to large uncertainties in climate, hydrological, and energy models. To avoid these limitations, we propose a bottom-up impact assessment based on the historical information on climatic trends and causal links between climate variables and hydropower production across political jurisdictions. Using this framework, we estimate expected monthly gain/loss in regional hydropower production potential under the continuation of historical climate trends. Our findings show that Canada’s production potential is expected to increase, although the net gain/loss is subject to significant variations across different regions. Our results suggest increasing potential in Yukon, Ontario, and Quebec but decreasing production in the North Western Territories and Nunavut, British Columbia, and Alberta.

show abstract

“…During the current "Anthropocene", streamflow characteristics are key factors for infrastructure design as well as land use and land management. While some streamflow characteristics reveal potentials for natural resource development, particularly for agriculture and hydropower production (Hamududu and Killingtveit, 2012;Amir Jabbari and Nazemi, 2019;Nazemi et al, 2020), some others determines consequences of important natural disasters such as flood and drought (Poff and Zimmerman, 2010;Arheimer and Lindström, 2015;Rolls et al, 2018;Zandmoghaddam et al, 2019). A set of natural streamflow characteristics determining timing, magnitude, seasonality and inter-annual variability in streamflow time series can collectively define the streamflow regime (Poff et al, 1997).…”

mentioning

confidence: 99%

A novel algorithmic framework for identifying changing streamflow regimes: Application to Canadian natural streams (1966–2010)

Zaerpour

Hatami

Sadri³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Climate change significantly affects natural streamflow regime. To assess alterations in streamflow regime, typically few streamflow characteristics are considered and their significant variations in time and space are taken as a notion of change. Although, this approach is informative, intuitively appealing and widely-implemented, (1) it cannot see simultaneous changes in multiple streamflow characteristics; (2) it does not utilize all the available information contained in a streamflow hydrograph; and (3) it cannot describe how and to what extent one streamflow regime evolves into other regime types. To address these gaps, we conceptualize streamflow regimes as intersecting spectrums that are formed by multiple streamflow characteristics. Accordingly, we recognize that changes in streamflow regime should be diagnosed through gradual, yet continuous changes in an ensemble of streamflow characteristics. To incorporate these key considerations, we propose a fuzzy clustering-based approach to classify the natural streamflow into a finite set of intersecting regime types. Accordingly, by analyzing how the degrees of membership to regime types change, we quantify monotonic shifts between regime types in time and space. Our proposed algorithm eliminates the subjectivity in quantifying shift between flow regimes, and can extract valuable knowledge stored in the shape and variability of annual streamflow hydrographs. We apply this approach to the natural streamflow data, obtained from 106 Canadian gauges, during the period of 1966 to 2010. We show that natural streamflow in Canada can be categorized into six regime types, with clear physical and geographical distinctions. Analyses of trends in membership values during the study period show that alterations in natural streamflow regime are vibrant and can be different within and between major Canadian drainage basins. We show that gradual changes in natural streamflow regimes in Canada can be attributed to simultaneous changes in a large number of streamflow characteristics, some of which have been previously unknown or not well-attended. Our study introduces a generic algorithmic framework for identifying changing streamflow regime at regional and global scales, and provides a fresh look at streamflow alterations in Canada, which can be seen as another line of evidence for the complex and multifaceted impacts of climate change on streamflow regime, particularly in cold regions.

show abstract

Representing Local Dynamics of Water Resource Systems through a Data-Driven Emulation Approach

Cited by 12 publications

References 31 publications

Evaluating Climate Change Effects on a Snow-Dominant Watershed: A Multi-Model Hydrological Investigation

Evaluating Climate Change Effects on a Snow-Dominant Watershed: A Multi-Model Hydrological Investigation

Alterations in Canadian Hydropower Production Potential Due to Continuation of Historical Trends in Climate Variables

A novel algorithmic framework for identifying changing streamflow regimes: Application to Canadian natural streams (1966–2010)

Contact Info

Product

Resources

About