Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Predicting Diel, Diurnal and Nocturnal Dynamics of Dissolved Oxygen and Chlorophyll-a Using Regression Models and Neural Networks
Date
2013-09-01
Author
KARAKAYA, NUSRET
EVRENDİLEK, FATİH
GÜNGÖR, KEREM
Onal, Deniz
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
199
views
0
downloads
Cite This
Human-induced and natural interruptions with continuous streams of observational data necessitate the development of gap-filling and prediction strategies towards better understanding, monitoring and management of aquatic systems. This study quantified the efficacy of multiple non-linear regression (MNLR) versus artificial neural network (ANN) models as well as the temporal partitioning of diurnal versus nocturnal data for the predictions of chlorophyll-a (chl-a) and dissolved oxygen (DO) dynamics. The temporal partitioning increased the predictive performances of the best MNLR models of diurnal DO by 45% and nocturnal DO by 4%, relative to the best diel MNLR model of diel DO (r(adj)(2) = 68.8%). The ANN-based predictions had a higher predictive power than the MNLR-based predictions for both chl-a and DO except for diurnal DO dynamics. The best ANNs based on independent validations were multilayer perceptron (MLP) for diel chl-a, generalized feedforward (GFF) for diurnal and nocturnal chl-a, MLP for diel DO, GFF for diurnal DO, and MLP for nocturnal DO.
Subject Keywords
Pollution
,
Water Science and Technology
,
Environmental Chemistry
URI
https://hdl.handle.net/11511/67651
Journal
CLEAN-SOIL AIR WATER
DOI
https://doi.org/10.1002/clen.201200683
Collections
Department of Biology, Article
Suggestions
OpenMETU
Core
Modeling biogeochemical dynamics in porous media: Practical considerations of pore scale variability, reaction networks, and microbial population dynamics in a sandy aquifer
King, E. L.; Tuncay, Kağan; Ortoleva, P.; Meile, C. (Elsevier BV, 2010-03-01)
Prediction of the fate and environmental impacts of groundwater contaminants requires the identification of relevant biogeochemical processes and necessitates the macroscopic representation of microbial activity occurring at the microscale. Using a well-studied sandy aquifer environment, we evaluate the importance of pore distribution on organic matter respiration in a porous medium environment by performing spatially explicit simulations of microbial metabolism at the sub-millimeter scale. Model results us...
An Assessment of the Spatial Distribution of Polychlorinated Biphenyl Contamination in Turkey
Gedik, Kadir; İmamoğlu, İpek (Wiley, 2010-02-01)
This study summarizes the relevant information regarding the spatial distribution of polychlorinated biphenyls (PCBs) in various environmental (e.g., soil, sediment, air, water) and biological (e.g., fish, mussel, adipose tissue, milk) media in Turkey. The information sources, used for this purpose, in addition to the scientific literature, were; official import records, governmental reports on monitoring of organochlorines, and reports prepared by international organizations. PCBs were never produced in Tu...
Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin
Yılmaz, Mustafa Tuğrul; Zaitchik, Ben; Hain, Chris R.; Crow, Wade T.; Ozdogan, Mutlu; Chun, Jong Ahn; Evans, Jason (American Geophysical Union (AGU), 2014-01-01)
Regional evapotranspiration (ET) can be estimated using diagnostic remote sensing models, generally based on principles of energy balance closure, or with spatially distributed prognostic models that simultaneously balance both energy and water budgets over landscapes using predictive equations for land surface temperature and moisture states. Each modeling approach has complementary advantages and disadvantages, and in combination they can be used to obtain more accurate ET estimates over a variety of land...
Modeling biogeochemical processes in subterranean estuaries: Effect of flow dynamics and redox conditions on submarine groundwater discharge of nutrients
Spiteri, Claudette; Slomp, Caroline P.; Tuncay, Kağan; Meile, Christof (American Geophysical Union (AGU), 2008-02-22)
[1] A two-dimensional density-dependent reactive transport model, which couples groundwater flow and biogeochemical reactions, is used to investigate the fate of nutrients (NO(3)(-), NH(4)(+), and PO(4)) in idealized subterranean estuaries representing four end-members of oxic/anoxic aquifer and seawater redox conditions. Results from the simplified model representations show that the prevalent flow characteristics and redox conditions in the freshwater-seawater mixing zone determine the extent of nutrient ...
Assessment of seawater intrusion in a coastal aquifer by using correlation, principal component, and factor analyses
Karahanoğlu, Nurkan (Wiley, 1997-05-01)
Hydrogeochemical characterization of the Erzin Plain coastal aquifer has been accomplished in this research to investigate the spatial and transient behavior of its water quality. The aquifer is located along the Mediterranean coast and forms one of the most productive aquifers in Turkey. Chemical analyses of groundwater samples collected from the aquifer during 1964-1968 (128 samples), May 1993 (30 samples), October 1993 (37 samples), and June 1994 (20 samples) constitute the available groundwater quality ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. KARAKAYA, F. EVRENDİLEK, K. GÜNGÖR, and D. Onal, “Predicting Diel, Diurnal and Nocturnal Dynamics of Dissolved Oxygen and Chlorophyll-a Using Regression Models and Neural Networks,”
CLEAN-SOIL AIR WATER
, pp. 872–877, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67651.