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Journals / Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi / 2016 / Cilt: 33 - Sayı: 3

Modeling and Mapping Temperature, Secchi Depth, and Chlorophyll-a Distributions of Zinav Lake by Using GIS and Landsat-7 ETM+ Imagery

HAKAN METE DOĞAN
FATİH POLAT
Doğaç Sencer YILMAZ
EKREM BUHAN
ORHAN METE KILIÇ
Saliha Dirim BUHAN
Pages
55–60
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that the lake has anoxic conditions and it exhibits eutrophic characters.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Temperature, secchi depth, and chlorophyll-a (in relation to secchi depth) of Zinav Lake in Turkey were modeled and mapped by using Geographic Information Systems (GIS) and Remote Sensing (RS).
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Key Findings & Data:Temperature (oC), secchi depth (m), and chlorophyll-a (mg/l) field data were collected from geo-referenced 5 stations on the lake between September- 2011 and October-2012 in monthly basis.
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Conclusion & Impact:The results showed that the lake has anoxic conditions and it exhibits eutrophic characters.
🔬Design:Modeling & Simulation
📍Scope:2011 Verileri
⚙️Variables:GIS · modeling · clorophyll-a

Abstract

Temperature, secchi depth, and chlorophyll-a (in relation to secchi depth) of Zinav Lake in Turkey were modeled and mapped by using Geographic Information Systems (GIS) and Remote Sensing (RS). Temperature (oC), secchi depth (m), and chlorophyll-a (mg/l) field data were collected from geo-referenced 5 stations on the lake between September- 2011 and October-2012 in monthly basis. Secchi depth was measured by Hidrobios brand secchi disc with 25 cm diameter. A multi-measuring device (YSI-556MPS) was utilized to determine temperature values. Chlorophyll-a was measured by using Helios-α model UV-Vis spectrophotometer and monochromatic method. Utilizing geo-referenced field data and the digital number (DN) values of thermal (6.1) band of Landsat-7 ETM+ image (date: 27 April 2012 and pat/row: 175/32), temperature raster map of Zinav Lake was created. Relationships between secchi depth and band1/band3 values of Landsat-7 ETM+ image, and between secchi depth and chlorophyll-a were modeled by curve fit analysis. Running the produced models in GIS, secchi depth, temperature and chlorophyll-a raster maps of Zinav Lake were generated. The results showed that the lake has anoxic conditions and it exhibits eutrophic characters.

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Cite This Article

DOĞAN, H. M., POLAT, F., YILMAZ, D. S., BUHAN, E., KILIÇ, O. M., BUHAN, S. D. (2016). Modeling and Mapping Temperature, Secchi Depth, and Chlorophyll-a Distributions of Zinav Lake by Using GIS and Landsat-7 ETM+ Imagery. Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 33 - Sayı: 3, 55–60. https://ajindex.com/articles/201579

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