Darama, Yakup

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Profile URL
https://hdl.handle.net/20.500.14411/6692
Name Variants
D., Yakup
Yakup Darama
Yakup, Darama
Darama,Y.
Darama Y.
Y., Darama
D.,Yakup
Darama,Yakup
Darama, Yakup
Y.,Darama
Darama, Y.
Job Title
Profesör Doktor
Email Address
yakup.darama@atilim.edu.tr
Main Affiliation
Civil Engineering
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Website
ORCID ID
000-0003-0066-2621
Scopus Author ID
6506751573
Turkish CoHE Profile ID
AF1E9BC0F9366FBF
Google Scholar ID
fWhonp0AAAAJ
WoS Researcher ID
DVO-7807-2022

Sustainable Development Goals

2

ZERO HUNGER
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1

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6

CLEAN WATER AND SANITATION
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5

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7

AFFORDABLE AND CLEAN ENERGY
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1

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11

SUSTAINABLE CITIES AND COMMUNITIES
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4

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13

CLIMATE ACTION
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2

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Scholarly Output

11

Articles

6

Citation Count

98

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4

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Author: Akgul, Mehmet Ali

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    Article
    Citation - WoS: 12
    Citation - Scopus: 15
    Determination of Sediment Deposition of Hasanlar Dam Using Bathymetric and Remote Sensing Studies
    (Springer, 2019) Darama, Yakup; Selek, Zeliha; Selek, Bulent; Akgul, Mehmet Ali; Dagdeviren, Murat; Civil Engineering
    Hasanlar Dam and Hydroelectric Power Plant are located on Kucuk Melen Creek in the Western Black Sea Basin of Turkey. The dam was constructed in 1974 to provide domestic water needs of the Duzce Province, to supply irrigation water need, to control and mitigate floods and to produce hydroelectric power. This dam has been subjected to severe sedimentation since its construction in 1974. Therefore, bathymetric field survey studies were conducted to determine storage loss in the Hasanlar Dam reservoir by sedimentation. Bathymetric survey data from the reservoir site of the Hasanlar Dam were obtained in 1979, 1999 and 2014. Analysis of the bathymetric data, GIS and remotes sensing techniques showed that storage loss in reservoir active volume between 1974 and 1999 was 24% and between 1974 and 2014 storage loss was 26%. Analysis of the bathymetric maps also showed that sediment accumulation is severe near and around the dam body and the spillway whose discharge capacity was decreased by sediment accumulation. This is extremely critical because the flood of May 1998 caused the high risk of collapse of dam due to reduced capacity of the spillway. Remote sensing technique was used to determine the future deposition of sediment in the reservoir. For this purpose, 35 points in the reservoir area were determined by comparing the relative water depths and actual water depths using satellite image of the bathymetry in July 2017 and Lake Observation Station. High correlation (R-2=0.833) was calculated by using logarithmic nonlinear regression analysis between actual and relative water depths for those 35 control points. The average of absolute values of differences between the estimated and actual water depths was found as 1.06m, and RMSE was calculated as 1.25m. This analysis shows that in the future, remote sensing data can be used in the studies of determining the depth of water and the total sediment thickness. In addition, the volume of the entire reservoir can be predicted by measuring the actual water depth only at those 35 control points without making a bathymetric map of the whole dam reservoir.