Modeling climate change impact on streamflow as affected by snowmelt in Nicolet River Watershed, Quebec

Jiang, Qian; Qi, Zhiming; Tang, F.F.; Xue, Lulin; Bukovsky, Melissa

doi:10.1016/j.compag.2020.105756

Cited by 12 publications

(7 citation statements)

References 44 publications

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“…The flow can be adjusted according to the height of the water separating the bottom from the inner face of the ice cover, and a correction factor K. This coefficient is the ratio between the flow measured in the presence of ice and the equivalent discharge in free flow for the same water height. This ratio is used to calculate the discharges for the periods during which there are no measurements, by correcting the discharges obtained from the rating curve [25]. We can represent the relation of the factor K by the following relationship:…”

Section: Conventional Flow Measurement Technique In the Presence Of I...mentioning

confidence: 99%

Analysis of the Capacity of a Double Rating Curve to Reproduce the Flows Measured by Doppler Fixed at the Bottom of an Ice Covered River

Eloumou¹,

Berenger²

2022

IJDNE

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The classic approach for estimating river flows is based on the use of a rating curve, which links the flow rates to the water heights measured at a gauging station. This simple approach, has practical and economic advantages but also has limitations related in part to the difficulty of obtaining a representative range of flows, particularly in the presence of ice cover. The objective of this study is to show how it is possible to improve the results obtained by a traditional rating curve using the validated measurements of the Acoustic Doppler Velocity Meter (ADVM) of the Argonaut SW (shallow water) Doppler obtained in continuous, in the presence of ice sheet. The proposed methodology consists in filtering and validating the height measurements provided by the standard gauge as well as the speed and height the measurements provided by the Doppler SW. The validated measurements are then split into two parts: The first part is used for the calibration of a double rating curve that links the series of validated levels obtained by the standard limnimeter, to the flow obtained from the Doppler SW. The second part is used to evaluate the capacity of the double rating curve obtained during the calibration, and to estimate the flow measured by the Doppler SW. The double rating curve thus calibrated reproduces the flow measured by the Doppler SW with an average deviation of 5.03%. In the presence of ice cover, this average difference is 7.68%. These results show the interest of a combined use of the Doppler SW and the double rating curve, for monitoring river flows under ice cover. The Doppler SW makes data available, necessary to calibrate a reliable rating curve, based on a wide range of flow variations covering the winter period.

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Section: Conventional Flow Measurement Technique In the Presence Of I...mentioning

confidence: 99%

Analysis of the Capacity of a Double Rating Curve to Reproduce the Flows Measured by Doppler Fixed at the Bottom of an Ice Covered River

Eloumou¹,

Berenger²

2022

IJDNE

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“…This is a very important result because it shows that it is possible to create an effective strategy without knowing the consumption of the other agents in the micro grid, thus avoiding privacy issues. (1)(2)(3)(4)(5)(6), the CAGR are real (i.e., would be higher if adjusted for inflation), and assume a case in which there is no growth in the price of electricity, a chart assuming a 2% linear increase in the price of electricity from Scenario 4 is in the Appendix A.…”

Section: Interaction Of Competing Sale Strategies Within the Micro-grid (Scenario 5 And Scenario 6)mentioning

confidence: 99%

“…Looking at the difference between Scenarios 1 and 2, it is visible how the relative difference in average CAGR between groups is lower in Scenario 2. This means that larger households benefit more from inter- (1)(2)(3)(4)(5)(6), the CAGR are real (i.e., would be higher if adjusted for inflation), and assume a case in which there is no growth in the price of electricity, a chart assuming a 2% linear increase in the price of electricity from Scenario 4 is in the Appendix A.…”

Section: Interaction Of Competing Sale Strategies Within the Micro-grid (Scenario 5 And Scenario 6)mentioning

confidence: 99%

“…Climate change is one of the main challenges that threaten the wellbeing or the very existence of human society. This threat cannot be ignored because it can impact a wide range of natural ecosystems and socio-technical systems (e.g., [1][2][3][4][5][6][7]). In the last few decades, numerous technologies have been discovered, or improved, that can dramatically reduce our greenhouse gas emissions: renewable or low carbon energy generation facilities, energy storage systems, energy efficiency, and carbon capture devices.…”

mentioning

confidence: 99%

“…Figure 8. CAGR (Compound Annual Growth Rate) % in the different scenarios(1)(2)(3)(4)(5)(6), the CAGR are real (i.e., would be higher if adjusted for inflation), and assume a case in which there is no growth in the price of electricity, a chart assuming a 2% linear increase in the price of electricity from Scenario 4 is in the Appendix A.…”

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confidence: 99%

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Agent Based Modelling of a Local Energy Market: A Study of the Economic Interactions between Autonomous PV Owners within a Micro-Grid

et al. 2021

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Urban Photovoltaic (PV) systems can provide large fractions of the residential electric demand at socket parity (i.e., a cost below the household consumer price). This is obtained without necessarily installing electric storage or exploiting tax funded incentives. The benefits of aggregating the electric demand and renewable output of multiple households are known and established; in fact, regulations and pilot energy communities are being implemented worldwide. Financing and managing a shared urban PV system remains an unsolved issue, even when the profitability of the system as a whole is demonstrable. For this reason, an agent-based modelling environment has been developed and is presented in this study. It is assumed that an optimal system (optimized for self-sufficiency) is shared between 48 households in a local grid of a positive energy district. Different scenarios are explored and discussed, each varying in number of owners (agents who own a PV system) and their pricing behaviour. It has been found that a smaller number of investors (i.e., someone refuse to join) provokes an increase of the earnings for the remaining investors (from 8 to 74% of the baseline). Furthermore, the pricing strategy of an agent shows improvement potential without knowledge of the demand of others, and thus it has no privacy violations.

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Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study

Adnan

Hazarika

Gupta

et al. 2022

Neural Comput & Applic

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Modeling climate change impact on streamflow as affected by snowmelt in Nicolet River Watershed, Quebec

Cited by 12 publications

References 44 publications

Analysis of the Capacity of a Double Rating Curve to Reproduce the Flows Measured by Doppler Fixed at the Bottom of an Ice Covered River

Analysis of the Capacity of a Double Rating Curve to Reproduce the Flows Measured by Doppler Fixed at the Bottom of an Ice Covered River

Agent Based Modelling of a Local Energy Market: A Study of the Economic Interactions between Autonomous PV Owners within a Micro-Grid

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study

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