Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
ICT for Smart Water Systems: Measure...
~
Soldovieri, Francesco.
ICT for Smart Water Systems: Measurements and Data Science
Record Type:
Language materials, printed : Monograph/item
Title/Author:
ICT for Smart Water Systems: Measurements and Data Science/ edited by Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine.
other author:
Scozzari, Andrea.
Description:
XX, 342 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Water pollution. -
Online resource:
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 Systems: Measurements and Data Science
[electronic resource] /edited by Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine. - 1st ed. 2021. - XX, 342 p.online resource. - The Handbook of Environmental Chemistry,1021616-864X ;. - The Handbook of Environmental Chemistry,35.
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:
1253564
Water pollution.
LC Class. No.: TD419-428
Dewey Class. No.: 363.7394
ICT for Smart Water Systems: Measurements and Data Science
LDR
:03544nam a22004335i 4500
001
1049787
003
DE-He213
005
20210819053101.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030619732
$9
978-3-030-61973-2
024
7
$a
10.1007/978-3-030-61973-2
$2
doi
035
$a
978-3-030-61973-2
050
4
$a
TD419-428
072
7
$a
TQSW
$2
bicssc
072
7
$a
TEC010000
$2
bisacsh
072
7
$a
TQSW
$2
thema
072
7
$a
KNB
$2
thema
082
0 4
$a
363.7394
$2
23
082
0 4
$a
363.73946
$2
23
245
1 0
$a
ICT for Smart Water Systems: Measurements and Data Science
$h
[electronic resource] /
$c
edited by Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XX, 342 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
The Handbook of Environmental Chemistry,
$x
1616-864X ;
$v
102
505
0
$a
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.
520
$a
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.
650
0
$a
Water pollution.
$3
1253564
650
0
$a
Remote sensing.
$3
557272
650
0
$a
Big data.
$3
981821
650
0
$a
Application software.
$3
528147
650
0
$a
Physical measurements.
$3
902742
650
0
$a
Measurement .
$3
1253766
650
1 4
$a
Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution.
$3
670344
650
2 4
$a
Remote Sensing/Photogrammetry.
$3
670396
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Information Systems Applications (incl. Internet).
$3
881699
650
2 4
$a
Measurement Science and Instrumentation.
$3
769080
700
1
$a
Scozzari, Andrea.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
816006
700
1
$a
Mounce, Steve.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1353992
700
1
$a
Han, Dawei.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1353993
700
1
$a
Soldovieri, Francesco.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1141190
700
1
$a
Solomatine, Dimitri.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1353994
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030619725
776
0 8
$i
Printed edition:
$z
9783030619749
776
0 8
$i
Printed edition:
$z
9783030619756
830
0
$a
The Handbook of Environmental Chemistry,
$x
1867-979X ;
$v
35
$3
1257102
856
4 0
$u
https://doi.org/10.1007/978-3-030-61973-2
912
$a
ZDB-2-EES
912
$a
ZDB-2-SXEE
950
$a
Earth and Environmental Science (SpringerNature-11646)
950
$a
Earth and Environmental Science (R0) (SpringerNature-43711)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login