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ICT for smart water systems = measur...

Scozzari, Andrea.

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ICT for smart water systems = measurements and data science /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	ICT for smart water systems/ edited by Andrea Scozzari ... [et al.].
其他題名:	measurements and data science /
其他作者:	Scozzari, Andrea.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xx, 342 p. :ill., digital ;24 cm.
內容註:	Data science trends and opportunities for smart water utilities -- Review of Techniques for Optimal Placement of Pressure and Flow Sensors for Leak/Burst Detection and Localisation in Water Distribution Systems -- A bird's-eye view of data validation in the drinking water industry of The Netherlands -- Monitoring and controlling a smarter wastewater treatment system: a UK perspective -- Using Radial Basis Function for Water Quality Events Classification -- Promoting Smart Water Systems in Developing Countries through Innovation Partnerships: Evidence from VIA Water-supported projects in Africa -- Exploring assimilation of Crowdsourcing Observations into Flood Models -- Precipitation measurement with weather radar -- Satellite Remote Sensing of Soil Moisture for Hydrological Applications: A Review of Issues to Be Solved -- Spectroscopic Methods for Online Water Quality Monitoring -- Quartz-Crystal Microbalance sensors: new tools for the assessment of organic threats to the quality of water.
Contained By:	Springer Nature eBook
標題:	Smart water grids. -
電子資源:	https://doi.org/10.1007/978-3-030-61973-2
ISBN:	9783030619732

ICT for smart water systems = measurements and data science /
ICT for smart water systemsmeasurements and data science /[electronic resource] :edited by Andrea Scozzari ... [et al.]. - Cham :Springer International Publishing :2021. - xx, 342 p. :ill., digital ;24 cm. - The handbook of environmental chemistry,v.1021867-979X ;. - Handbook of environmental chemistry ;v.102..

Data science trends and opportunities for smart water utilities -- Review of Techniques for Optimal Placement of Pressure and Flow Sensors for Leak/Burst Detection and Localisation in Water Distribution Systems -- A bird's-eye view of data validation in the drinking water industry of The Netherlands -- Monitoring and controlling a smarter wastewater treatment system: a UK perspective -- Using Radial Basis Function for Water Quality Events Classification -- Promoting Smart Water Systems in Developing Countries through Innovation Partnerships: Evidence from VIA Water-supported projects in Africa -- Exploring assimilation of Crowdsourcing Observations into Flood Models -- Precipitation measurement with weather radar -- Satellite Remote Sensing of Soil Moisture for Hydrological Applications: A Review of Issues to Be Solved -- Spectroscopic Methods for Online Water Quality Monitoring -- Quartz-Crystal Microbalance sensors: new tools for the assessment of organic threats to the quality of water.

Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels.

ISBN: 9783030619732

Standard No.: 10.1007/978-3-030-61973-2doiSubjects--Topical Terms:

3487547
Smart water grids.

LC Class. No.: TD484 / .I37 2021

Dewey Class. No.: 628.10287

ICT for smart water systems = measurements and data science /
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