Evaluation of the effects of land-use change and increasing deforestation in the Sapanca Basin on total suspended solids (TSS) movement with predictive models

Temiz, Temel; Sonmez, Osman; Dogan, Emrah; Oner, Adnan; Opan, Mücahit

doi:10.1007/s11600-022-00783-x

Artykuł - szczegóły

Tytuł artykułu

Evaluation of the effects of land-use change and increasing deforestation in the Sapanca Basin on total suspended solids (TSS) movement with predictive models

Autorzy

Temiz Temel , Sonmez Osman , Dogan Emrah , Oner Adnan , Opan Mücahit

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00783-x

Warianty tytułu

Języki publikacji

Abstrakty

Sapanca Lake is a tectonically sourced freshwater resource and one of the rare natural water resources used as a source of drinking water. This study examined the change of land use and lake area in the natural water source basin subjected to human pressure for years. Landsat 5 TM (1987) and Landsat 8 TM (2010) satellite images were used. Satellite images were analyzed using ArcGIS 10.1 software. As a result of the analysis, it was observed that the natural vegetation was significantly destroyed between 1987 and 2010. Besides, the bathymetry maps of Lake Sapanca belonging to the years 1990 and 2010 were also examined, and accordingly, it was determined that there was a 2% reduction in the lake surface area. The decrease in the volume of the lake was thought to be due to sedimentation movement caused by land-use change, and the total amount of suspended solids, grain size, discharge, and temperature measurements were made between 2012 and 2014 in 12 streams which are sources of Sapanca Lake. Sediment prediction models have been developed under two different scenarios using measurement data from side streams. Artificial neural networks (ANN), Sediment rating curve, and multiple linear regression models were examined within the scenario models, and comparisons were made between the models. It was determined that ANN achieved the closest results with the measurement data.

Słowa kluczowe

suspended sediment land-use sediment rating curve multi linear regression artificial neural network

osady zawieszone zagospodarowanie terenu krzywa oceny osadów regresja wieloliniowa sztuczna sieć neuronowa

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2022

Tom

Vol. 70, no 3

Strony

1331--1347

Opis fizyczny

Bibliogr. 55 poz.

Twórcy

autor

Temiz Temel

temel.temiz@yalova.edu.tr

Department of Civil Engineering, Engineering Faculty, Yalova University, Yalova, Turkey

https://orcid.org/0000-0002-4013-7218

autor

Sonmez Osman

osonmez@sakarya.edu.tr

Department of Civil Engineering, Engineering Faculty, Sakarya University, Sakarya, Turkey

https://orcid.org/0000-0001-5642-6391

autor

Dogan Emrah

emrahd@sakarya.edu.tr

Department of Civil Engineering, Engineering Faculty, Sakarya University, Sakarya, Turkey

https://orcid.org/0000-0001-5077-6518

autor

Oner Adnan

adnan@kocaeli.edu.tr

Department of Civil Engineering, Engineering Faculty, Kocaeli University, Kocaeli, Turkey

https://orcid.org/0000-0002-7343-2563

autor

Opan Mücahit

mopan@kocaeli.edu.tr

Department of Civil Engineering, Engineering Faculty, Kocaeli University, Kocaeli, Turkey

https://orcid.org/0000-0002-5778-389X

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-2b917e70-8d8c-4154-8147-55eafaf55e18