Master'sOpen Access

Quality estimation in surface waters by remote sensing methods

Is this your thesis?

This record came from a bulk archive import. If it’s yours, link it to your profile.

2021
0 views
0 downloads

Abstract (EN)

In this research, the parameters that can be used in determining the quality of lake water and pollution level, which is an important resource in human life, were tried to be determined with Remote Sensing (UA) data, which is a faster method. It was tried to determine the surface water pollution parameter of Total Suspended Solid Matter (TAKM), pH, and Temperature values on Terkos Lake and the rivers feeding the lake within the provincial borders of Istanbul. In the determination of these values, the image data of Sentinel-2 and Landsat-8 satellites were used and the pollution changes in the surface waters were revealed by taking into account the temporal changes. It plays an important role in the protection of usable water resources. Suspended Solids value was found to be the highest in September 2019 and the lowest in November 2020. The highest pH values were obtained in November 2020 and the lowest values were obtained in September 2019. These changes were compared with the data received from the Istanbul Water and Sewerage Administration (ISKI). Correlation values of these results; r=0,88 at pH value of r=0,85 in TAKM amount and r=0,89 in temperature measurements. Monitoring of TAKM, pH and temperature parameters in surface waters by remote sensing methods gives statistically acceptable results.

Author

Halil İbrahim Yildiz

How to Cite

Halil İbrahim Yildiz (Master Thesis). Quality estimation in surface waters by remote sensing methods, 2021, Afyon Kocatepe University.

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Afyon Kocatepe University