Effects of Meteorological Parameters on Surface Water Loss in Burdur Lake, Turkey over 34 Years Landsat Google Earth Engine Time-Series

Sohaib K. M. Abujayyab, Khaled H. Almotairi, Mohammed Alswaitti, Salem S. Abu Amr, Abbas F. M. Alkarkhi, Enes Taşoğlu and Ahmad MohdAziz Hussein
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Sohaib K. M. Abujayyab: Department of Geography, Faculty of Letters, Demir Celik Campus, Karabuk University, Karabuk 78050, Turkey
Khaled H. Almotairi: Computer Engineering Department, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Mohammed Alswaitti: School of Electrical and Computer Engineering, Xiamen University Malaysia, Bandar Sunsuria, Sepang 43900, Malaysia
Salem S. Abu Amr: Department of Environmental Engineering, Faculty of Engineering, Karabuk University, Karabuk 78050, Turkey
Abbas F. M. Alkarkhi: Business School, Universiti Kuala Lumpur (UniKL Bis), Kuala Lumpur 50250, Malaysia
Enes Taşoğlu: Department of Geography, Faculty of Letters, Demir Celik Campus, Karabuk University, Karabuk 78050, Turkey
Ahmad MohdAziz Hussein: E-Learning and Distance Education, Umm Al-Qura University, Makkah 21955, Saudi Arabia

Land, 2021, vol. 10, issue 12, 1-18

Abstract: The current work aims to examine the effect of meteorological parameters as well as the temporal variation on the Burdur Lake surface water body areas in Turkey. The data for the surface area of Burdur Lake was collected over 34 years between 1984 and 2019 by Google Earth Engine. The seasonal variation in the water bodies area was collected using our proposed extraction method and 570 Landsat images. The reduction in the total area of the lake was observed between 206.6 km 2 in 1984 to 125.5 km 2 in 2019. The vegetation cover and meteorological parameters collected that affect the observed variation of surface water bodies for the same area include precipitation, evapotranspiration, albedo, radiation, and temperature. The selected meteorological variables influence the reduction in lake area directly during various seasons. Correlations showed a strong positive or negative significant relationship between the reduction and the selected meteorological variables. A factor analysis provided three components that explain 82.15% of the total variation in the data. The data provide valuable references for decision makers to develop sustainable agriculture and industrial water use policies to preserve water resources as well as cope with potential climate changes.

Keywords: surface water degradation; meteorological parameters; surface water mapping; spatial-temporal variation; satellite images; Normalized Difference Water Index (NDWI); correlation; factor analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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