Journal of Water Resources Planning and Management

Material type: TextTextSeries: ; Journal of Water Resources Planning and Management, Volume 146, Issue 10, Oct 2020Publication details: Virginia : ASCE, c2020Description: [various pagings] : illustrations ; 28 cmISSN: 0733-9496Subject(s): LARGE-SCALE HYDROPOWER SYSTEM | OPTIMIZATION | WATER-ENERGY NEXUS
Contents:
Probalistic multi-step-ahead short-term water demand forecasting with lasso -- Long-term optimization of large-scale hydropower system operations based on decomposition-coordination -- Expected benefits of laos' hydropower development curbed by hydroclimatic variability and limited transmission capacity: opportunities to reform -- Leak-before-break main failure prevention for water distribution pipes using acoustic smart water technologies: case study in adelaide -- Reservoir operational performance subject to climate and management changes in the willamette river basin, oregon.
Summary: [Article Title: Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso / Jens Kley-Holsteg and Florian Ziel, p. 1-18] Abstract: Water demand is a highly important variable for operational control and decision making. Therefore, the development of accurate forecasts is a valuable field of research to further improve the efficiency of water utilities. Focusing on probabilistic multi-step-ahead forecasting, a time series model is introduced to capture typical autoregressive, calendar, and seasonal effects; to account for time-varying variance; and to quantify the uncertainty and path-dependency of the water demand process. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001268 Summary: [Article Title: Long-Term Optimization of Large-Scale Hydropower System Operations Based on Decomposition-Coordination / Zhiyu Yan, Shengli Liao, Chuntian Cheng, Lingan Zhou, and Fu Chen. p. 1-14] Abstract: The basic objective of long-term optimization of large-scale hydropower system operations (LOLHSO) is to increase water resource use efficiency and construct a clean and low-carbon-intensity energy system. However, limited by rather stochastic inflows, large-scale hydropower systems, and complex objectives and constraints, LOLHSO is characterized by uncertainty, high dimensionality, nonlinearity, and nonconvexity, which pose great challenges in modeling. This paper presents an improved hybrid decomposition-coordination and discrete differential dynamic programming model (IDC-DDDP) for solving the LOLHSO problem. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001288Summary: [Article Title: Expected Benefits of Laos’ Hydropower Development Curbed by Hydroclimatic Variability and Limited Transmission Capacity: Opportunities to Reform / A. F. M. Kamal Chowdhury, Thanh Duc Dang, Arijit Bagchi, and Stefano Galelli, p. 1-12] Abstract: Massive investments in hydropower are transforming several river basins across the world—especially in developing countries, where hydroelectricity is often seen as a means to sustain economic growth. While the environmental alterations caused by these projects have been well addressed in the scientific literature, less is known about their actual performance, which could be affected by water availability or the uncoordinated planning of the power generation and transmission facilities. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001279Summary: [Article Title: Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide / Mark Stephens, Jinzhe Gong, Chi Zhang, Angela Marchi, Luke Dix, and Martin F. Lambert, p. 1-13] Abstract: Water main breaks in city areas can cause significant economic loss, interrupt traffic, and result in negative publicity for utilities. The South Australian Water Corporation (SA Water) has taken a proactive approach to reduce water main breaks in the Adelaide, Australia, central business district (CBD) by detecting developing pipe cracks/leaks using distributed acoustic sensors (accelerometers) with customized analytics and internet of things (IoT) technologies. This paper reports the findings and the outcomes of this initiative 24 months after the first commissioning of the continuous leak detection system. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001266Summary: [Article Title: Reservoir Operational Performance Subject to Climate and Management Changes in the Willamette River Basin, Oregon / Desiree Tullos, Cara Walter, and Kellie Vache, p. 1-14] Abstract: Reevaluation of the reliability of reservoirs in meeting operating objectives is needed as the landscape and operational priorities change. This study examined the individual and collective changes in reservoir performance at the 13 flood regulation projects within the Willamette River Basin (WRB) in Oregon. By applying a scenario-based analysis, derived as part of a broader collaborative modeling project, operational performance was evaluated in response to climate and operational change scenarios. Results indicated that, for the climate scenarios analyzed, primary operating objectives of flood risk reduction and meeting summer biological opinion (BiOp) flow targets were unlikely to be affected. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001280
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National University - Manila
Gen. Ed. - COE Periodicals Journal of Water Resources Planning and Management, Volume 146, Issue 10, Oct 2020 (Browse shelf (Opens below)) c.1 Available PER000000354

Includes bibliographical references.

Probalistic multi-step-ahead short-term water demand forecasting with lasso -- Long-term optimization of large-scale hydropower system operations based on decomposition-coordination -- Expected benefits of laos' hydropower development curbed by hydroclimatic variability and limited transmission capacity: opportunities to reform -- Leak-before-break main failure prevention for water distribution pipes using acoustic smart water technologies: case study in adelaide -- Reservoir operational performance subject to climate and management changes in the willamette river basin, oregon.

[Article Title: Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso / Jens Kley-Holsteg and Florian Ziel, p. 1-18]

Abstract: Water demand is a highly important variable for operational control and decision making. Therefore, the development of accurate forecasts is a valuable field of research to further improve the efficiency of water utilities. Focusing on probabilistic multi-step-ahead forecasting, a time series model is introduced to capture typical autoregressive, calendar, and seasonal effects; to account for time-varying variance; and to quantify the uncertainty and path-dependency of the water demand process.

https://doi.org/10.1061/(ASCE)WR.1943-5452.0001268

[Article Title: Long-Term Optimization of Large-Scale Hydropower System Operations Based on Decomposition-Coordination / Zhiyu Yan, Shengli Liao, Chuntian Cheng, Lingan Zhou, and Fu Chen. p. 1-14]

Abstract: The basic objective of long-term optimization of large-scale hydropower system operations (LOLHSO) is to increase water resource use efficiency and construct a clean and low-carbon-intensity energy system. However, limited by rather stochastic inflows, large-scale hydropower systems, and complex objectives and constraints, LOLHSO is characterized by uncertainty, high dimensionality, nonlinearity, and nonconvexity, which pose great challenges in modeling. This paper presents an improved hybrid decomposition-coordination and discrete differential dynamic programming model (IDC-DDDP) for solving the LOLHSO problem.

https://doi.org/10.1061/(ASCE)WR.1943-5452.0001288

[Article Title: Expected Benefits of Laos’ Hydropower Development Curbed by Hydroclimatic Variability and Limited Transmission Capacity: Opportunities to Reform / A. F. M. Kamal Chowdhury, Thanh Duc Dang, Arijit Bagchi, and Stefano Galelli, p. 1-12]

Abstract: Massive investments in hydropower are transforming several river basins across the world—especially in developing countries, where hydroelectricity is often seen as a means to sustain economic growth. While the environmental alterations caused by these projects have been well addressed in the scientific literature, less is known about their actual performance, which could be affected by water availability or the uncoordinated planning of the power generation and transmission facilities.

https://doi.org/10.1061/(ASCE)WR.1943-5452.0001279

[Article Title: Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide / Mark Stephens, Jinzhe Gong, Chi Zhang, Angela Marchi, Luke Dix, and Martin F. Lambert, p. 1-13]

Abstract: Water main breaks in city areas can cause significant economic loss, interrupt traffic, and result in negative publicity for utilities. The South Australian Water Corporation (SA Water) has taken a proactive approach to reduce water main breaks in the Adelaide, Australia, central business district (CBD) by detecting developing pipe cracks/leaks using distributed acoustic sensors (accelerometers) with customized analytics and internet of things (IoT) technologies. This paper reports the findings and the outcomes of this initiative 24 months after the first commissioning of the continuous leak detection system.

https://doi.org/10.1061/(ASCE)WR.1943-5452.0001266

[Article Title: Reservoir Operational Performance Subject to Climate and Management Changes in the Willamette River Basin, Oregon / Desiree Tullos, Cara Walter, and Kellie Vache, p. 1-14]

Abstract: Reevaluation of the reliability of reservoirs in meeting operating objectives is needed as the landscape and operational priorities change. This study examined the individual and collective changes in reservoir performance at the 13 flood regulation projects within the Willamette River Basin (WRB) in Oregon. By applying a scenario-based analysis, derived as part of a broader collaborative modeling project, operational performance was evaluated in response to climate and operational change scenarios. Results indicated that, for the climate scenarios analyzed, primary operating objectives of flood risk reduction and meeting summer biological opinion (BiOp) flow targets were unlikely to be affected.

https://doi.org/10.1061/(ASCE)WR.1943-5452.0001280

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