USE OF CONTINUOUS WATER QUALITY SENSORS TO EXAMINE HEADWATER RESPONSE TO SNOWMELT: VALLES CALDERA, JEMEZ MOUNTAINS, NM

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.

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Student enabled water quality sensors

OCEANS 2010 MTS/IEEE SEATTLE ◽

10.1109/oceans.2010.5664591 ◽

2010 ◽

Author(s):

L Hotaling ◽

R Stolkin ◽

W Kirkey ◽

S Lowes ◽

P Chen ◽

...

Keyword(s):

Water Quality ◽

Water Quality Sensors

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Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network

Sensors ◽

10.3390/s20051342 ◽

2020 ◽

Vol 20 (5) ◽

pp. 1342 ◽

Cited By ~ 2

Author(s):

Diego Garcia ◽

Vicenç Puig ◽

Joseba Quevedo

Keyword(s):

Water Quality ◽

Distribution System ◽

Data Analytics ◽

Water Distribution ◽

Discrete Event ◽

Spatial Models ◽

Remaining Useful Life ◽

Health State ◽

Using Data ◽

Water Quality Sensors

Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.

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