scholarly journals Open storm: a complete framework for sensing and control of urban watersheds

2018 ◽  
Vol 4 (3) ◽  
pp. 346-358 ◽  
Author(s):  
Matthew Bartos ◽  
Brandon Wong ◽  
Branko Kerkez
Keyword(s):  
Water Resources ◽  
Internet Of Things ◽  
Real Time ◽  
Water Resources Management ◽  
Water Systems ◽  
Urban Watersheds ◽  
Resources Management ◽  
Smart Water ◽  
And Control ◽  
Complete Framework

Leveraging recent advances in technologies surrounding the Internet of Things, “smart” water systems are poised to transform water resources management by enabling ubiquitous real-time sensing and control.

scholarly journals Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

2013 ◽  
Vol 17 (12) ◽  
pp. 5013-5039 ◽  
Author(s):  
S. E. Thompson ◽  
M. Sivapalan ◽  
C. J. Harman ◽  
V. Srinivasan ◽  
M. R. Hipsey ◽  
...  
Keyword(s):  
Decision Making ◽  
Water Resources ◽  
Water Resources Management ◽  
Research Agenda ◽  
Water Systems ◽  
Coupled Systems ◽  
Model Data ◽  
Resources Management ◽  
Long Timescales ◽  
Insight Into

Abstract. Globally, many different kinds of water resources management issues call for policy- and infrastructure-based responses. Yet responsible decision-making about water resources management raises a fundamental challenge for hydrologists: making predictions about water resources on decadal- to century-long timescales. Obtaining insight into hydrologic futures over 100 yr timescales forces researchers to address internal and exogenous changes in the properties of hydrologic systems. To do this, new hydrologic research must identify, describe and model feedbacks between water and other changing, coupled environmental subsystems. These models must be constrained to yield useful insights, despite the many likely sources of uncertainty in their predictions. Chief among these uncertainties are the impacts of the increasing role of human intervention in the global water cycle – a defining challenge for hydrology in the Anthropocene. Here we present a research agenda that proposes a suite of strategies to address these challenges from the perspectives of hydrologic science research. The research agenda focuses on the development of co-evolutionary hydrologic modeling to explore coupling across systems, and to address the implications of this coupling on the long-time behavior of the coupled systems. Three research directions support the development of these models: hydrologic reconstruction, comparative hydrology and model-data learning. These strategies focus on understanding hydrologic processes and feedbacks over long timescales, across many locations, and through strategic coupling of observational and model data in specific systems. We highlight the value of use-inspired and team-based science that is motivated by real-world hydrologic problems but targets improvements in fundamental understanding to support decision-making and management. Fully realizing the potential of this approach will ultimately require detailed integration of social science and physical science understanding of water systems, and is a priority for the developing field of sociohydrology.

scholarly journals Proposal of a Big data System for an Intelligent Management of Water Resources

2021 ◽  
Vol 314 ◽  
pp. 02002
Author(s):  
Sara Bouziane ◽  
Badraddine Aghoutane ◽  
Aniss Moumen ◽  
Ali Sahlaoui ◽  
Anas EL Ouali
Keyword(s):  
Big Data ◽  
Water Resources ◽  
Internet Of Things ◽  
Water Resources Management ◽  
Smart Devices ◽  
Water Losses ◽  
Resources Management ◽  
Water Leak ◽  
Intelligent Management ◽  
Agriculture Water

Today, advanced technologies like Big Data, IoT, and Cloud Computing can provide new opportunities and applications in all sectors. In the water sector, water scarcity has become a common concern of different institutions and actors worldwide. In this context, several approaches and systems have been proposed and developed, using these technologies, allowing intelligent water resources management. Internet of Things can be used for assisting the Water Industry to collect data, manage and monitor the water infrastructures using smart devices. Big Data is a strategic technology for analyzing and interpreting collected data into valuable and helpful information for better decision making. This paper presents Big Data and Internet of Things technologies. It addresses theirs uses in some use cases such as municipal water losses, water pollution in agriculture, water Leak detection, etc., to provide new systems and innovative solutions for intelligent water resources management. Based on this study, we propose a Big Data and IoT architecture for intelligent water resources management.

scholarly journals Integrated Water Resources Management in a Complex Reservoir System Through a Multipurpose DSS Tool

10.29007/hhw9 ◽  
2018 ◽  
Author(s):  
Raquel Gómez-Beas ◽  
Eva Contreras-Arribas ◽  
Sergio Romero ◽  
Óscar Lorente ◽  
Antonio Linares-Sáez ◽  
...  
Keyword(s):  
Water Management ◽  
Water Resources ◽  
Water Resources Management ◽  
Water Distribution ◽  
Energy Use ◽  
Groundwater Resources ◽  
Sustainable Use ◽  
Integrated Water Resources Management ◽  
Resources Management ◽  
Smart Water

Water resources management requires the integration of many complex physical processes, as well as the interaction of many stakeholders, to ensure the sustainable use of surface and groundwater resources. Water problems to which water authorities have to face are water deficit to supply a wide and increasing demand, floods, water pollution, leaks in water distribution infrastructures, and optimization in the energy use and production. A comprehensive and detailed analysis of the availability of water resources in terms of quantity and quality, and of water demand in their variability in space and time, is indispensable. In this context, SAID (SmArt water management with Integrated Decision support systems) project addresses the development, implementation, validation and integration of the most innovative DSSs as the basis for smart water management systems in complex basins. This paper focuses on the methodology carried out to integrate multipurpose aspects involved in the management of water resources in Guadalhorce River Basin (southern Spain), as a demonstrator area. As a support in the decision making process to dam managers, the resulting integrated DSS allows to execute predictive simulations to anticipate the watershed response, considering two types of scenarios (flood and ordinary), driven by different optimization criteria.

scholarly journals Rethinking water resources management from water-energy nexus perspective — a research and comparison of Jing-Jin-Ji Region of China and California of the United States

2021 ◽  
Vol 257 ◽  
pp. 02024
Author(s):  
Shan Jiang ◽  
Yongnan Zhu ◽  
Lizhen Wang ◽  
Qingming Wang ◽  
Guohua He
Keyword(s):  
United States ◽  
Energy Consumption ◽  
Water Resources ◽  
Water Use ◽  
Water Resources Management ◽  
Deep Understanding ◽  
The United States ◽  
Water Systems ◽  
Resources Management ◽  
Water Energy Nexus

The relationship between water and energy is extremely close and complex, especially in water use system. However, the energy consumption of water systems has been ignored in water resources management due to the lack of deep understanding of the water-energy nexus. Based on analysis of waterrelated energy in water use, this paper selected Jing-Jin-Ji region of China and California of the United States to conduct a research study and found that the energy consumption of water use systems accounted for about 16% and 20% of the total electricity consumption of Jing-Jin-Ji region and California, respectively, water use has shifted more energy-intensive. This paper systematically quantified the urban water–energy relationship, analyzed the water supply structure and the energy efficiency and energy consumption in different water system sectors, and found that California’s total water use is 3.3 times that of Jing-Jin-Ji region, but the energy consumption of California’s water systems is only 2.3 times that of Jing-Jin-Ji region. This study suggests that water conservation is a cost-effective way to save energy, and it is necessary to quantitatively analyze the water-energy nexus for a more comprehensive and deep understanding of water resources management.

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