Automatic system of monitoring water quality

Joint Authors

Tili, Abd al-Muti
Bin Ayshah, Firyal

Source

Israa University Journal of Applied Science

Issue

Vol. 4, Issue 1 (31 Oct. 2020), pp.125-140, 16 p.

Publisher

Israa University Scientific Research Council

Publication Date

2020-10-31

Country of Publication

Palestine (Gaza Strip)

No. of Pages

16

Main Subjects

Economy and Commerce
Earth Sciences, Water and Environment
Information Technology and Computer Science

Abstract EN

The goal of this work is to devlop an automatic system of monitoring the quality of drinking water distributed to consumers.

Turbidity is considered as a most feature measure of the water quality.

Turbidity is a measure of the degree to which the water loses its transparency due to the presence of suspended particulates.

The more total suspended solids in the water, the murkier it seems and the higher the turbidity.

Therefore, automatically assessment of the quality of a water body, whether surface water or groundwater, can help us answer questions about whether the water is acceptable for drinking, bathing, or irrigation without collect samples manually and send them to laboratory for checking and analyzing.

For this purpose, we use IoT technology to deliver analysis of drinking water quality in real time.

This technology can transfer wirelessly the data obtained by digitizing the data of the object or the domain of the adapter that it is adapting to the server.

American Psychological Association (APA)

Tili, Abd al-Muti& Bin Ayshah, Firyal. 2020. Automatic system of monitoring water quality. Israa University Journal of Applied Science،Vol. 4, no. 1, pp.125-140.
https://search.emarefa.net/detail/BIM-1238293

Modern Language Association (MLA)

Tili, Abd al-Muti& Bin Ayshah, Firyal. Automatic system of monitoring water quality. Israa University Journal of Applied Science Vol. 4, no. 1 (Oct. 2020), pp.125-140.
https://search.emarefa.net/detail/BIM-1238293

American Medical Association (AMA)

Tili, Abd al-Muti& Bin Ayshah, Firyal. Automatic system of monitoring water quality. Israa University Journal of Applied Science. 2020. Vol. 4, no. 1, pp.125-140.
https://search.emarefa.net/detail/BIM-1238293

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 140

Record ID

BIM-1238293