Regional Hydrological Systems Analysis and Water Systems Management at European Scale

1996 ◽  
pp. 132-139
Author(s):  
G. B. Engelen ◽  
F. H. Kloosterman
Keyword(s):  
Systems Analysis ◽  
Water Systems ◽  
Systems Management

Systems analysis, systems management and surgical technology

1974 ◽  
Vol 16 (6) ◽  
pp. 636-671 ◽  
Author(s):  
John S. Spratt ◽  
Rose Mary Monaco ◽  
Robert C. Hahn ◽  
Cynthia Cary
Keyword(s):  
Systems Analysis ◽  
Systems Management ◽  
Surgical Technology

scholarly journals Rationalizing Systems Analysis for the Evaluation of Adaptation Strategies in Complex Human-Water Systems

2018 ◽  
Vol 6 (9) ◽  
pp. 1181-1206 ◽  
Author(s):  
Arthur H. Essenfelder ◽  
C. Dionisio Pérez-Blanco ◽  
Alex S. Mayer
Keyword(s):  
Systems Analysis ◽  
Water Systems ◽  
Adaptation Strategies

scholarly journals Impact of Environment GIS Modeling on Sustainable Water Systems Management

2016 ◽  
Vol 162 ◽  
pp. 293-300 ◽  
Author(s):  
Svetlana Stevović ◽  
Žarko Nestorović
Keyword(s):  
Water Systems ◽  
Systems Management ◽  
Gis Modeling

Modelling and monitoring of integrated urban wastewater systems: review on status and perspectives

2013 ◽  
Vol 68 (6) ◽  
pp. 1203-1215 ◽  
Author(s):  
Lorenzo Benedetti ◽  
Jeroen Langeveld ◽  
Adrien Comeau ◽  
Lluís Corominas ◽  
Glen Daigger ◽  
...  
Keyword(s):  
Systems Analysis ◽  
Integrated Management ◽  
Treatment Plant ◽  
Water Systems ◽  
Integrated Modelling ◽  
Water Quantity ◽  
Urban Water ◽  
Integrated Models ◽  
Urban Wastewater ◽  
Wastewater Systems

While the general principles and modelling approaches for integrated management/modelling of urban water systems already present a decade ago still hold, in recent years aspects like model interfacing and wastewater treatment plant (WWTP) influent generation as complements to sewer modelling have been investigated and several new or improved systems analysis methods have become available. New/improved software tools coupled with the current high computational capacity have enabled the application of integrated modelling to several practical cases, and advancements in monitoring water quantity and quality have been substantial and now allow the collecting of data in sufficient quality and quantity to permit using integrated models for real-time applications too. Further developments are warranted in the field of data quality assurance and efficient maintenance.

Agricultural hydroinformatics: agricultural water systems management as a new application for hydroinformatics

2020 ◽  
Author(s):  
Paul Celicourt ◽  
Silvio J. Gumiere ◽  
Alain Rousseau
Keyword(s):  
Agricultural Development ◽  
Environmental Science ◽  
Simulation Models ◽  
Water Systems ◽  
Agricultural Systems ◽  
Agricultural Water ◽  
Systems Management ◽  
Research Areas ◽  
Systems Research ◽  
Wide Range

<p>Hydroinformatics, throughout its more than 25 years of existence, has been applied to a set of research areas. So far, these applications include: hydraulics and hydrology, environmental science and technology, knowledge systems and knowledge management, urban water systems management.</p><p>This paper introduces agricultural water systems management as a new application for hydroinformatics, and terms it as “agricultural hydroinformatics”. It presents a discipline-delineated conceptual framework originating from the particularities of the socio-technical dimension of applying hydroinformatics in agriculture. It epitomizes the wholeness and inter-dependencies of agricultural systems studies and modelling. It is suitable to support, not only integrated agricultural water resources management in particular, but also agricultural sustainability in general, in addition to a wide range of agricultural development situations beyond connections between agro-economic and water engineering development and its socio-economic impacts.</p><p>The paper also highlights some contributions of hydroinformatics to agriculture including new kinds of sensing technologies, information and simulation models development that bear the potential to boost reproducibility of agricultural systems research through systematic and formal records of the relationships among raw data, the processes that produce results and the results themselves.</p>

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