Optimal positioning of water quality sensors in sewer during dry and wet weather

2021 ◽  
Author(s):  
Mariacrocetta Sambito ◽  
Gabriele Freni
Keyword(s):  
Water Quality ◽  
Wet Weather ◽  
Water Quality Sensors

Water quality of Tampa Bay, Florida : wet-weather conditions, October 1971

1975 ◽  
Author(s):  
Carl R. Goodwin ◽  
Joseph S. Rosenshein ◽  
D.M. Michaelis
Keyword(s):  
Water Quality ◽  
Weather Conditions ◽  
Tampa Bay ◽  
Wet Weather

SENSE IT - student created water quality sensors

2011 ◽  
Author(s):  
L. Hotaling ◽  
R. Stolkin ◽  
S. Lowes ◽  
P. Chen ◽  
J. Bonner ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Sensors

Predicting high‐frequency variation in stream solute concentrations with water quality sensors and machine learning

2020 ◽  
Author(s):  
Mark B. Green ◽  
Linda H. Pardo ◽  
Scott W. Bailey ◽  
John L. Campbell ◽  
William H. McDowell ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
High Frequency ◽  
Frequency Variation ◽  
Water Quality Sensors

Contamination event detection using multiple types of conventional water quality sensors in source water

2014 ◽  
Vol 16 (8) ◽  
pp. 2028-2038 ◽  
Author(s):  
Shuming Liu ◽  
Han Che ◽  
Kate Smith ◽  
Lei Chen
Keyword(s):  
Water Quality ◽  
Event Detection ◽  
Source Water ◽  
Contamination Event ◽  
Water Quality Sensors ◽  
Correlative Relationship

A correlative relationship between multiple types of conventional sensors can be used to detect a contamination event.

Water Quality-Based Prioritization of Wet Weather Programs

2000 ◽  
Vol 2000 (4) ◽  
pp. 212-219
Author(s):  
P. Grace ◽  
R. Williams ◽  
R. Galardi ◽  
G.L. Jarrett ◽  
Jeffery Gratzer ◽  
...  
Keyword(s):  
Water Quality ◽  
Wet Weather

scholarly journals Komunikasi Data Berbasis Protokol UDP pada Sistem Ubiquitous Mobile Sensing Kualitas Sumber Air

2016 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Yuning Widiarti Darsono ◽  
Adianto Adianto ◽  
Mirna Apriani
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Mobile Phones ◽  
Data Communication ◽  
Mobile Sensing ◽  
Time Data ◽  
Climate Change And Variability ◽  
Rapid Spread ◽  
Types Of Information ◽  
Water Quality Sensors

The need for monitoring, effective and efficient control and evaluation of water quality in regional waters Surabaya become a demand for population growth, climate change and variability in the current era of urbanization. The traditional method is done by collecting water samples, test and analyze water in the laboratory has been relatively expensive and do not have the ability to capture real-time data, analysis and information delivery fast in making decisions. On the other hand, the rapid spread in the use of mobile phones in developing countries has increased mobile data management applications. A variety of mobile applications has also increased in recent years. This is because mobile phones cheap, easy to use and can transmit multiple types of information including images and GPS data remotely. In this paper, the author describes a data communication system of  water quality resources based on UDP protocol. This system is called ubiquitous mobile sensing consisting of microcontroller Arduino, water quality sensors, and Android smartphones. It has the ability to detect temperature, dissolved oxygen (DO), pH and electrical conductivity (EC) in real time. By using this monitoring system, the data result is expected more accurate, faster and cheaper.

Student enabled water quality sensors

2010 ◽  
Author(s):  
L Hotaling ◽  
R Stolkin ◽  
W Kirkey ◽  
S Lowes ◽  
P Chen ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Sensors
Sign in / Sign up

Export Citation Format

Share Document