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You searched for: Subject algorithms Remove constraint Subject: algorithms Subject term Turkey (country) Remove constraint Subject term: Turkey (country) Text availability Citation in PubAg Remove constraint Text availability: Citation in PubAg
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1. Genetic algorithms for the classification and prediction of precipitation occurrence

Author:
Source:
Hydrological sciences journal 2001 v.46 no.2 pp. 255-267
ISSN:
0262-6667
Subject:
Markov chain; algorithms; dewpoint; discriminant analysis; humidity; lakes; models; natural selection; prediction; probability distribution; rain; temperature; tourism; transportation; Turkey (country)
Abstract:
... Using an approach similar to the biological processes of natural selection and evolution, the genetic algorithm (GA) is a nonconventional optimum search technique. Genetic algorithms have the ability to search large and complex decision spaces and handle nonconvexities. In this paper, the GA is applied for solving the optimum classification of rainy and non-rainy day occurrences based on vertical ...
DOI:
10.1080/02626660109492820

2. Irrigation performance using hydrological and remote sensing modeling

Author:
Droogers, P.; Bastiaanssen, W.
Source:
Journal of irrigation and drainage engineering 2002 v.128 no.1 pp. 11-18
ISSN:
0733-9437
Subject:
simulation models; evapotranspiration; sowing date; irrigation; spatial distribution; Vitis; Gossypium; remote sensing; Landsat; energy balance; algorithms; hydrologic models; Turkey (country)
DOI:
10.1061/(ASCE)0733-9437(2002)128:1(11)

3. Monitoring snow-covered areas using NOAA-AVHRR data in the eastern part of Turkey

Author:
Source:
Hydrological sciences journal 2002 v.47 no.2 pp. 243-252
ISSN:
0262-6667
Subject:
Snowmelt Runoff Model; advanced very high resolution radiometer; algorithms; basins; monitoring; prediction; satellites; snow; spring; topography; watersheds; wind direction; Turkey (country); United States
Abstract:
... Monitoring snow-covered areas and estimating the snow water equivalent play an important role in predicting discharges during spring months, especially in regions where snow is an important resource. This study has been conducted in the Upper Euphrates River basin, of 10 200 km2 area, and elevation range of 1125–3500 m. In estimating snow-covered areas, besides semi-supervised multispectral classi ...
DOI:
10.1080/02626660209492927

4. High density NOAA time series of ET in the Gediz Basin, Turkey

Author:
Gieske, A.; Meijninger, W.
Source:
Irrigation and drainage systems 2005 v.19 no.3-4 pp. 285-299
ISSN:
0168-6291
Subject:
evapotranspiration; watersheds; energy balance; irrigated soils; remote sensing; irrigated farming; algorithms; satellites; Turkey (country)
DOI:
10.1007/s10795-005-5191-3

5. Modeling of SO2 distribution in Istanbul using artificial neural networks

Author:
Ulku Sahin; Osman N. Ucan; Cuma Bayat; Namık Oztorun
Source:
Environmental modeling and assessment 2005 v.10 no.2 pp. 135-142
ISSN:
1420-2026
Subject:
air pollution; air quality; algorithms; data collection; developing countries; environmental engineering; humidity; neural networks; neurons; pollutants; prediction; rain; regression analysis; seasonal variation; solar radiation; sulfur dioxide; temperature; wind direction; wind speed; Turkey (country)
Abstract:
... Urban air pollution is a growing problem in developing countries. Some compounds especially sulphur dioxide (SO₂) is considered as typical indicators of the urban air quality. Air pollution modeling and prediction have great importance in preventing the occurrence of air pollution episodes and provide sufficient time to take the necessary precautions. Recently, various stochastic image-processing ...
DOI:
10.1007/s10666-004-7262-5

6. Analysis of Genetic Diversity in Colonial Bentgrass (Agrostis capillaris L.) using Randomly Amplified Polymorphic DNA (RAPD) Markers

Author:
Rajasekar, Shanmugam; Fei, Shui-zhang; Christians, Nick E.
Source:
Genetic resources and crop evolution 2007 v.54 no.1 pp. 45-53
ISSN:
0925-9864
Subject:
Agrostis capillaris; algorithms; breeding; cool season grasses; genetic relationships; genetic variation; germplasm; golf courses; principal component analysis; random amplified polymorphic DNA technique; temperature; Bulgaria; Finland; Romania; Turkey (country); United States
Abstract:
... Colonial bentgrass (Agrostis capillaris L.) is a cool-season grass, native to temperate Asia and Europe. It has good tolerance to low temperatures and partial shade and is well suited to golf course fairways and tees. Little information is available regarding levels and patterns of genetic variation among populations of colonial bentgrass, which would be useful for breeding programs. To study the ...
DOI:
10.1007/s10722-005-1883-7

7. Forecasting Surface Water Level Fluctuations of Lake Van by Artificial Neural Networks

Author:
Altunkaynak, Abdüsselam
Source:
Water resources management 2007 v.21 no.2 pp. 399-408
ISSN:
0920-4741
Subject:
algorithms; engineering; irrigation; lakes; neural networks; rain; surface water level; temporal variation; Turkey (country)
Abstract:
... Lake Van in eastern Turkey has been subject to water level rise during the last decade and, consequently, the low-lying areas along the shore are inundated, giving problems to local administrators, governmental officials, irrigation activities and to people's property. Therefore, forecasting water levels of the Lake has started to attract the attention of the researchers in the country. An attempt ...
DOI:
10.1007/s11269-006-9022-6

8. Tractor demand projection in Turkey

Author:
Unakitan, G.; Akdemir, B.
Source:
Biosystems engineering 2007 v.97 no.1 pp. 19-25
ISSN:
1537-5110
Subject:
tractors; demand functions; prediction; algorithms; mathematical models; equations; Turkey (country)
Abstract:
... An autoregressive integrated moving average (ARIMA) univariate model was used to predict the previous tractor demand in Turkey. The data used in the model were obtained for the period 1961-2003 from FAO statistics. The ARIMA model was determined as (2, 2, 2) in order to predict tractor demand by using logarithmic transformation. The trend of the tractor stock was calculated by using coefficients o ...
DOI:
10.1016/j.biosystemseng.2007.01.011

9. Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey

Author:
Ekercin, Semih
Source:
Water, air, and soil pollution 2007 v.183 no.1-4 pp. 239-251
ISSN:
0049-6979
Subject:
water quality; satellites; remote sensing; multispectral imagery; image analysis; case studies; spatial distribution; algorithms; computer software; regression analysis; turbidity; chlorophyll; sediment yield; spatial variation; Turkey (country)
Abstract:
... This paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of th ...
DOI:
10.1007/s11270-007-9373-5

10. An inverse-modelling approach to assess the impacts of climate change in the Seyhan River basin, Turkey

Author:
Source:
Hydrological sciences journal 2008 v.53 no.6 pp. 1121-1136
ISSN:
0262-6667
Subject:
General Circulation Models; algorithms; climate change; climatic factors; drought; floods; hydrologic models; meteorological parameters; prediction; risk; uncertainty; watersheds; Turkey (country)
Abstract:
... One of the most significant anticipated consequences of global climate change is the change in frequency of hydrological extremes. Predictions of climate change impacts on the regime of hydrological extremes have traditionally been conducted by a top-down approach that involves a high degree of uncertainty associated with the temporal and spatial characteristics of general circulation model (GCM) ...
DOI:
10.1623/hysj.53.6.1121

11. Early findings in comparison of AMSR-E/Aqua L3 global snow water equivalent EASE-grids data with in situ observations for Eastern Turkey

Author:
Tekeli, A. Emre
Source:
Hydrological processes 2008 v.22 no.15 pp. 2737-2747
ISSN:
0885-6087
Subject:
algorithms; monitoring; radiometers; remote sensing; resource management; rivers; snow; snowmelt; uncertainty; vegetation; water management; winter; Turkey (country)
Abstract:
... Microwave remote sensing (RS) enables the direct determination of snow water equivalent (SWE), which is an important snow parameter for water resources management. The accuracy of remotely sensed SWE values has always been a concern. Previous studies evaluated global SWE monitoring. However, regional effects such as vegetation, snow grain size, snow density and local meteorological conditions may ...
DOI:
10.1002/hyp.7093

12. Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam

Author:
Cobaner, Murat; Haktanir, Tefaruk; Kisi, Ozgur
Source:
Water resources management 2008 v.22 no.6 pp. 757-774
ISSN:
0920-4741
Subject:
algorithms; computer software; economic feasibility; energy; energy costs; engineering; evaporation; hydroelectric power; irrigation; irrigation water; neural networks; prediction; Turkey (country)
Abstract:
... Recently, artificial neural networks (ANNs) have been used successfully for many engineering problems. This paper presents a practical way of predicting the hydropower energy potential using ANNs for the feasibility of adding a hydropower plant unit to an existing irrigation dam. Because the cost of energy has risen considerably in recent decades, addition of a suitable capacity hydropower plant ( ...
DOI:
10.1007/s11269-007-9190-z

13. Estimation of river flow by artificial neural networks and identification of input vectors susceptible to producing unreliable flow estimates

Author:
Kentel, Elcin
Source:
Journal of hydrology 2009 v.375 no.3-4 pp. 481-488
ISSN:
0022-1694
Subject:
rivers; stream flow; watershed hydrology; hydrologic models; watersheds; hydrologic data; estimation; neural networks; rain; algorithms; model validation; Turkey (country)
Abstract:
... Reliable river flow estimates are crucial for appropriate water resources planning and management. River flow forecasting can be conducted by conceptual or physical models, or data-driven black box models. Development of physically-based models requires an understanding of all the physical processes which impact a natural process and the interactions among them. Since identification of the relatio ...
DOI:
10.1016/j.jhydrol.2009.06.051

14. Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey

Author:
Karatas, Bekir S.; Akkuzu, Erhan; Unal, Halil B.; Asik, Serafettin; Avci, Musa
Source:
Agricultural water management 2009 v.96 no.6 pp. 982-990
ISSN:
0378-3774
Subject:
irrigation management; satellites; remote sensing; irrigation systems; water supply; evapotranspiration; estimation; algorithms; energy balance; seasons; irrigation water; groundwater; Turkey (country)
Abstract:
... The aim of this research was to assess the irrigation performance of the Salihli Right Bank, Salihli Left Bank, Ahmetli, Gokkaya, Turgutlu, Mesir, Sarikiz, Gediz, Menemen Right Bank and Menemen Left Bank Water User Associations (WUAs) in the Lower Gediz Basin in western Turkey, using remote sensing techniques. To reach this aim the performance of the irrigation system for the 2004 irrigation seaso ...
DOI:
10.1016/j.agwat.2009.01.010

15. A comparative study of Turkish and Israeli populations of Didymella rabiei, the ascochyta blight pathogen of chickpea

Author:
Ozkilinc, H.; Frenkel, O.; Abbo, S.; Eshed, R.; Sherman, A.; Shtienberg, D.; Ophir, R.; Can, C.
Source:
Plant pathology 2010 v.59 no.3 pp. 492-503
ISSN:
0032-0862
Subject:
Ascochyta rabiei; Cicer arietinum; algorithms; blight; chickpeas; domestication; genetic variation; heritability; microsatellite repeats; multidimensional scaling; pathogens; spring; temperature; variance; winter; Israel; Turkey (country)
Abstract:
... The Fertile Crescent is the centre of domestication of chickpea (Cicer arietinum) and also the place of origin of its pathogens. Agrosystems provide different environments to natural eco-systems, thus imposing different types of selection on pathogens. Here, the genetic structure and in vitro temperature growth response of the chickpea pathogen Didymella rabiei from domesticated chickpea (59 isola ...
DOI:
10.1111/j.1365-3059.2009.02226.x

16. Analysis of phylogenetic relationships in some species of the genus Lens using ITS sequences

Author:
M. Tavakkoli; A. Haghnazari; H. Mozaffari; B. Ghareyazie; M. Osfoori
Source:
Journal of horticultural science & biotechnology 2010 v.85 no.3 pp. 227-230
ISSN:
2380-4084
Subject:
Lens; algorithms; biotechnology; cluster analysis; horticulture; internal transcribed spacers; lentils; phylogeny; sequence analysis; taxonomy; topology; wild relatives; Iran; Turkey (country)
Abstract:
... We compared sequence variations in the internal transcribed spacer (ITS) region of five Lens species, including cultivated lentil (Lens culinaris subsp. culinaris) and its four wild relatives distributed in Iran and Turkey, in order to clarify their genetic relationships. Cluster analysis based on the neighbour-joining algorithm and Jukes-Cantor distances revealed a phenetic tree with a topology c ...
DOI:
10.1080/14620316.2010.11512659

17. A case study on the application of SCIAMACHY satellite methane measurements for regional studies: the Greater Area of the Eastern Mediterranean

Author:
A. K. Georgoulias; K. A. Kourtidis; M. Buchwitz; O. Schneising; J. P. Burrows
Source:
International journal of remote sensing 2011 v.32 no.3 pp. 787-813
ISSN:
1366-5901
Subject:
air; algorithms; altitude; cartography; case studies; gas emissions; latitude; methane; remote sensing; satellites; seasonal variation; spectroscopy; volcanoes; Caspian Sea; Mediterranean region; Persian Gulf; Red Sea; Turkey (country)
Abstract:
... Many studies have focused on geological formations, such as mud volcanoes, which abound in the Greater Area of the Eastern Mediterranean (GAEM; 25° N–50° N, 5° E–55° E). This geological source is thought to provide a significant portion of the global methane (CH₄) emissions. However, studies in the GAEM have focused on specific locations rather than extensive areas, which has led to a gap in our u ...
DOI:
10.1080/01431161.2010.517791

18. An automatic counter for aerial images of aggregations of large birds

Author:
Stig Descamps; Arnaud Béchet; Xavier Descombes; Antoine Arnaud; Josiane Zerubia
Source:
Bird study 2011 v.58 no.3 pp. 302-308
ISSN:
1944-6705
Subject:
Phoenicopteridae; aerial photography; algorithms; birds; computer software; managers; wildlife; France; Mauritania; Turkey (country)
Abstract:
... Capsule Counts with precision comparable to those of an expert observer can be achieved automatically.Aims To develop an open-source freeware program that automatically extracts and counts the number of birds in aerial images of dense aggregations.Methods Software was developed and validated using aerial photographs of Greater Flamingo colonies from France, Turkey and Mauritania. We used a stochas ...
DOI:
10.1080/00063657.2011.588195

19. Ensemble modeling of transport and dispersion simulations guided by machine learning hypotheses generation

Author:
Andreas D. Lattner; Guido Cervone
Source:
Computers & geosciences 2012 v.48 no. pp. 267-279
ISSN:
0098-3004
Subject:
algorithms; artificial intelligence; computers; meteorological data; models; physics; Turkey (country)
Abstract:
... In this article an approach is presented where machine learning classifiers are used to drive an ensemble modeling method of multiple atmospheric transport and dispersion simulations. The goal is to achieve a higher spread of the results with a lower number of ensemble simulations. Symbolic machine learning algorithms are used to define choices for the variation of meteorological input data, model ...
DOI:
10.1016/j.cageo.2012.01.017

20. Predicting the spatial distribution of soil profile in Adapazari/Turkey by artificial neural networks using CPT data

Author:
Ersin Arel
Source:
Computers & geosciences 2012 v.43 no. pp. 90-100
ISSN:
0098-3004
Subject:
algorithms; computers; databases; earthquakes; neural networks; prediction; soil profiles; Turkey (country)
Abstract:
... The infamous soils of Adapazari, Turkey, that failed extensively during the 46-s long magnitude 7.4 earthquake in 1999 have since been the subject of a research program. Boreholes, piezocone soundings and voluminous laboratory testing have enabled researchers to apply sophisticated methods to determine the soil profiles in the city using the existing database. This paper describes the use of the a ...
DOI:
10.1016/j.cageo.2012.01.021

21. Spatial Analysis of Monthly and Annual Precipitation Trends in Turkey

Author:
Hüseyin Yavuz; Saffet Erdoğan
Source:
Water resources management 2012 v.26 no.3 pp. 609-621
ISSN:
0920-4741
Subject:
algorithms; climate change; databases; environmental factors; environmental impact; geographic information systems; geostatistics; issues and policy; kriging; meteorological data; prediction; rain; temporal variation; water management; Turkey (country)
Abstract:
... Global climate change could have important effects on various environmental variables in many countries around the world. Changes in precipitation regime directly affect water resources management. So that, it is important to analyze the changes in the spatial and temporal rainfall pattern in order to improve water resources management policies. For this reason, non-parametric Mann-Kendall rank co ...
DOI:
10.1007/s11269-011-9935-6

22. Spectral evaluation of Earth geopotential models and an experiment on its regional improvement for geoid modelling

Author:
B EROL
Source:
Journal of earth system science 2012 v.121 no.3 pp. 823-835
ISSN:
0253-4126
Subject:
monitoring; Earth system science; models; gravity; spectral analysis; case studies; algorithms; satellites; Turkey (country)
Abstract:
... As the number of Earth geopotential models (EGM) grows with the increasing number of data collected by dedicated satellite gravity missions, CHAMP, GRACE and GOCE, measuring the differences among the models and monitoring the improvements in gravity field recovery are required. This study assesses the performance of recent EGMs derived from CHAMP, GRACE, and other data in comparison to the earlier ...
DOI:
10.1007/s12040-012-0190-x

23. A region-growing technique to improve multi-temporal DInSAR interferogram phase unwrapping performance

Author:
Y. Yang; A. Pepe; M. Manzo; F. Casu; R. Lanari
Source:
Remote sensing letters 2013 v.4 no.10 pp. 988-997
ISSN:
2150-7058
Subject:
algorithms; data collection; deformation; interferometry; remote sensing; synthetic aperture radar; time series analysis; Turkey (country)
Abstract:
... We present an efficient solution to mitigate phase unwrapping (PhU) errors that can affect a sequence of multi-temporal differential synthetic aperture radar (SAR) interferograms. To this aim, we propose a strategy that, starting from a properly chosen network of differential interferograms, complements PhU operations with an advanced multi-temporal region-growing (RG) procedure that exploits the ...
DOI:
10.1080/2150704X.2013.826835

24. GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey

Author:
Nazli Yonca Aydin; Elcin Kentel; H. Sebnem Duzgun
Source:
Energy conversion and management 2013 v.70 no. pp. 90-106
ISSN:
0196-8904
Subject:
algorithms; case studies; climate; decision making; ecological value; economic feasibility; electric power; energy; fossil fuels; geographic information systems; governance; greenhouse gases; interviews; laws and regulations; solar energy; surveys; wind; Turkey (country)
Abstract:
... Renewable energy sources are presently being considered as alternatives to fossil fuels, because they are perpetual, environmentally friendly, and release negligible amounts of greenhouse gases to the atmosphere while producing energy. A disadvantage of renewable energy systems, however, is that continuous energy generation is not possible by using only one type of renewable energy system, since r ...
DOI:
10.1016/j.enconman.2013.02.004

25. Multischeme ensemble forecasting of surface temperature using neural network over Turkey

Author:
Sedef Cakir; Mikdat Kadioglu; Nihat Cubukcu
Source:
Theoretical and applied climatology 2013 v.111 no.3-4 pp. 703-711
ISSN:
0177-798X
Subject:
algorithms; neural networks; surface temperature; weather forecasting; Turkey (country)
Abstract:
... The ensemble method has long been used to reduce the errors that are caused by initial conditions and/or parameterizations of models in forecasting problems. In this study, neural network (NN) simulations are applied to ensemble weather forecasting. Temperature forecasts averaged over 2 weeks from four different forecasts are used to develop the NN model. Additionally, an ensemble mean of bias-cor ...
DOI:
10.1007/s00704-012-0703-1

26. Overview of Cervical Cancer Screening Practices in the Extended Middle East and North Africa Countries

Author:
Hélène Sancho-Garnier; Youssef Chami Khazraji; Moktar Hamdi Cherif; Abbes Mahnane; Mohamed Hsairi; Amr El Shalakamy; Nejat Osgul; Murat Tuncer; Aisha O. Jumaan; Muhieddine Seoud
Source:
Vaccine 2013 v.31 pp. G51
ISSN:
0264-410X
Subject:
acetic acid; algorithms; cell biology; guidelines; mortality; politics; public health; quality control; screening; social barriers; uterine cervical neoplasms; vaccines; women; Middle East; Morocco; Turkey (country)
Abstract:
... National Organized Cervical Cancer Screening (NOCCS) programs are lacking in most of the “Extended Middle East and North Africa” (EMENA) countries. Consequently, most cervical cancers are diagnosed late and are associated with high mortality. In fact, in most of these countries, national mortality data are unknown due to the absence of population-based mortality registries. Most countries of the E ...
DOI:
10.1016/j.vaccine.2012.06.046

27. An object-oriented overland flow solver for watershed flood inundation predictions: case study of Ulus basin, Turkey

Author:
Burak Turan; Keh-Han Wang
Source:
Journal of hydrology and hydromechanics 2014 v.62 no.3 pp. 209-217
ISSN:
1338-4333
Subject:
algorithms; basins; case studies; computer software; floodplains; hydrograph; models; overland flow; prediction; topography; watersheds; Black Sea; Turkey (country)
Abstract:
... This paper presents an object-oriented two-dimensional (2-D) overland flow model and its application in simulating flood flows over Ulus basin, located in the north of Turkey adjacent to the Black Sea. A new coding implementation according to the class environment created in object oriented C++ programming language is carried out in structuring and building the solver. The model is based on the Go ...
DOI:
10.2478/johh-2014-0029

28. Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm

Author:
Ergun Uzlu; Murat Kankal; Adem Akpınar; Tayfun Dede
Source:
Energy 2014 v.75 pp. 295-303
ISSN:
0360-5442
Subject:
algorithms; data collection; energy; exports; gross domestic product; imports; natural resources; neural networks; oils; Turkey (country)
Abstract:
... The main objective of the present study was to apply the ANN (artificial neural network) model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy consumption in Turkey. Gross domestic product, population, import, and export data were selected as independent variables in the model. Performances of the ANN–TLBO model and the classical back propagation-trained ANN model ...
DOI:
10.1016/j.energy.2014.07.078

29. Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

Author:
Ergun Uzlu; Adem Akpınar; Hasan Tahsin Özturk; Sinan Nacar; Murat Kankal
Source:
Energy 2014 v.69 pp. 638-647
ISSN:
0360-5442
Subject:
algorithms; electricity; energy; energy policy; geothermal energy; model validation; neural networks; temperature; water power; wind; Turkey (country)
Abstract:
... The primary objective of this study was to apply the ANN (artificial neural network) model with the ABC (artificial bee colony) algorithm to estimate annual hydraulic energy production of Turkey. GEED (gross electricity energy demand), population, AYT (average yearly temperature), and energy consumption were selected as independent variables in the model. The first part of the study compared ANN-A ...
DOI:
10.1016/j.energy.2014.03.059

30. Genetic diversity among the Turkish common bean cultivars (Phaseolus vulgaris L.) as assessed by SRAP, POGP and cpSSR markers

Author:
Ahmet Ceylan; Necip Öcal; Mikail Akbulut
Source:
Biochemical systematics and ecology 2014 v.54 pp. 219-229
ISSN:
0305-1978
Subject:
Phaseolus vulgaris; algorithms; alleles; arithmetics; beans; chloroplasts; cultivars; gene pool; genetic relationships; genetic variation; genotype; major genes; microsatellite repeats; peroxidase; principal component analysis; variance; Turkey (country)
Abstract:
... The genetic diversity among the Turkish cultivars of common bean (Phaseolus vulgaris L.) was estimated by studying the Sequence Related Amplified Polymorphism (SRAP), Peroxidase Gene Polymorhism (POGP), and Chloroplast Simple Sequence Repeats (cpSSR) markers. The unweighted pair group method arithmetic average (UPGMA) and Neighbor joining (NJ) algorithm resulted in a dendrogram representing the ge ...
DOI:
10.1016/j.bse.2014.01.014

31. Linear genetic programming application for successive-station monthly streamflow prediction

Author:
Ali Danandeh Mehr; Ercan Kahya; Cahit Yerdelen
Source:
Computers & geosciences 2014 v.70 pp. 63-72
ISSN:
0098-3004
Subject:
algorithms; arithmetics; artificial intelligence; computers; neural networks; prediction; rivers; stream flow; Turkey (country)
Abstract:
... In recent decades, artificial intelligence (AI) techniques have been pronounced as a branch of computer science to model wide range of hydrological phenomena. A number of researches have been still comparing these techniques in order to find more effective approaches in terms of accuracy and applicability. In this study, we examined the ability of linear genetic programming (LGP) technique to mode ...
DOI:
10.1016/j.cageo.2014.04.015

32. A new home energy management algorithm with voltage control in a smart home environment

Author:
Onur Elma; Ugur Savas Selamogullari
Source:
Energy 2015 v.91 pp. 720-731
ISSN:
0360-5442
Subject:
algorithms; case studies; electric power; energy efficiency; energy use and consumption; surveys; Turkey (country)
Abstract:
... Energy management in electrical systems is one of the important issues for energy efficiency and future grid systems. Energy management is defined as a HEM (home energy management) on the residential consumer side. The HEM system plays a key role in residential demand response applications. In this study, a new HEM algorithm is proposed for smart home environments to reduce peak demand and increas ...
DOI:
10.1016/j.energy.2015.08.094

33. Capability of different interpolation models and pedotransfer functions to estimate soil hydraulic properties in Büyükçay Watershed

Author:
Markéta Miháliková; Oğuz Başkan; Orhan Dengiz
Source:
Environmental earth sciences 2015 v.74 no.3 pp. 2425-2437
ISSN:
1866-6280
Subject:
algorithms; basins; electrical conductivity; field capacity; geostatistics; kriging; models; objectives; organic matter; pedotransfer functions; planning; soil depth; soil sampling; texture; watersheds; wilting point; Turkey (country)
Abstract:
... Many catchment basins have insufficient data to make conservation planning for sustainable natural resources use. In addition, intensive soil sampling is neither feasible nor economical in a large studied area. Therefore, interpolation models and pedotransfer functions (PTFs) have important roles in data mining. Main objectives of this study were to estimate and evaluate the estimates of basic soi ...
DOI:
10.1007/s12665-015-4246-5

34. Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method

Author:
Fatih Kara; Ismail Yucel
Source:
Environmental monitoring and assessment 2015 v.187 no.9 pp. 580
ISSN:
0167-6369
Subject:
algorithms; basins; climate; climate change; climate models; geophysics; planning; spring; summer; temperature; water supply; watersheds; winter; Turkey (country)
Abstract:
... This study investigates the climate change impact on the changes of mean and extreme flows under current and future climate conditions in the Omerli Basin of Istanbul, Turkey. The 15 regional climate model output from the EU-ENSEMBLES project and a downscaling method based on local implications from geophysical variables were used for the comparative analyses. Automated calibration algorithm is us ...
DOI:
10.1007/s10661-015-4808-8

35. Estimation of baseflow and water transfer in karst catchments in Mediterranean Turkey by nonlinear recession analysis

Author:
Ebru Eris; Hartmut Wittenberg
Source:
Journal of hydrology 2015 v.530 pp. 500-507
ISSN:
0022-1694
Subject:
algorithms; aquifers; base flow; caves; groundwater; karsts; nonlinear models; overland flow; rivers; seasonal variation; summer; time series analysis; watersheds; winter; Turkey (country)
Abstract:
... Because of water transfers through fissures, cavities, caves and phreatic channels of various sizes and unknown directions, the topographic watersheds of karst catchments have little significance for their aquifers. Most of the flow in the Manavgat River in South Anatolia has its origin outside of the surface watershed and is transferred through karst pathways. Previous investigations found eviden ...
DOI:
10.1016/j.jhydrol.2015.10.017

36. Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model

Author:
Masoud Ravansalar; Taher Rajaee
Source:
Environmental monitoring and assessment 2015 v.187 no.6 pp. 366
ISSN:
0167-6369
Subject:
algorithms; data collection; electrical conductivity; hysteresis; mineralization; neural networks; prediction; rivers; time series analysis; water quality; wavelet; Turkey (country)
Abstract:
... The prediction of water quality parameters plays an important role in water resources and environmental systems. The use of electrical conductivity (EC) as a water quality indicator is one of the important parameters for estimating the amount of mineralization. This study describes the application of artificial neural network (ANN) and wavelet–neural network hybrid (WANN) models to predict the mon ...
DOI:
10.1007/s10661-015-4590-7

37. Multi-objective analytical model for optimal sizing of stand-alone photovoltaic water pumping systems

Author:
Ceyda Olcan
Source:
Energy conversion and management 2015 v.100 pp. 358-369
ISSN:
0196-8904
Subject:
Citrus; algorithms; case studies; irrigation; models; probability; pumps; solar collectors; solar energy; solar radiation; systems engineering; temperature; time series analysis; trees; water supply; Turkey (country)
Abstract:
... Stand-alone photovoltaic (PV) water pumping systems effectively use solar energy for irrigation purposes in remote areas. However the random variability and unpredictability of solar energy makes difficult the penetration of PV implementations and complicate the system design. An optimal sizing of these systems proves to be essential. This paper recommends a techno-economic optimization model to d ...
DOI:
10.1016/j.enconman.2015.05.018

38. Prediction of water pollution sources using artificial neural networks in the study areas of Sivas, Karabük and Bartın (Turkey)

Author:
Tülay Ekemen Keskin; Muharrem Düğenci; Fikret Kaçaroğlu
Source:
Environmental earth sciences 2015 v.73 no.9 pp. 5333-5347
ISSN:
1866-6280
Subject:
algorithms; data collection; groundwater contamination; human health; mining; neural networks; prediction; rocks; Turkey (country)
Abstract:
... The determination of the rock types from which the water is recharged/discharged is an essential component of hydrochemical, hydrogeological and water pollution studies. Especially, detection of sources of groundwater contamination is very important in terms of human health and other living organism. This study aims at prediction of water pollution sources using artificial neural networks (ANNs) i ...
DOI:
10.1007/s12665-014-3784-6

39. Proof of a knowledge database concept. Aubrieta ekimii (Brassicaceae), a new species from NW Anatolia (Turkey): morphological and molecular support

Author:
Sırrı Yüzbaşıoğlu; Marcus A. Koch; Ihsan I. A. Al-Shehbaz
Source:
Plant systematics and evolution 2015 v.301 no.8 pp. 2043-2055
ISSN:
0378-2697
Subject:
Aubrieta; DNA; algorithms; cell biology; conservation status; databases; geographical distribution; internal transcribed spacers; new species; phylogeny; ribosomal RNA; scanning electron microscopy; species diversity; Turkey (country)
Abstract:
... Aubrieta ekimii, a new species from Kocaeli Province (Turkey), is described and illustrated, and its relationship to putatively closest relatives, A. olympica and A. pinardii, is discussed. Scanning electron microscopy micrographs of the indumentum of A. ekimii and its relatives are presented. Cytology, ecology, conservation status, and geographical distribution of the novelty and related species ...
DOI:
10.1007/s00606-015-1212-3

40. Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm

Author:
Taskin Kavzoglu; Emrehan Kutlug Sahin; Ismail Colkesen
Source:
Engineering geology 2015 v.192 pp. 101-112
ISSN:
0013-7952
Subject:
algorithms; drainage; engineering; landslides; models; prediction; regression analysis; soil depth; Turkey (country)
Abstract:
... Many landslide conditioning factors have been considered in the literature for landslide susceptibility mapping, but it is not certain which factors produce the best result for an area under analysis. With the availability of increasing number of landslide conditioning factors, finding the best combination of factors has become an important research issue. In this study, genetic algorithms (GAs) w ...
DOI:
10.1016/j.enggeo.2015.04.004

41. Successive-station monthly streamflow prediction using different artificial neural network algorithms

Author:
A. Danandeh Mehr; E. Kahya; A. Şahin; M. J. Nazemosadat
Source:
International journal of environmental science and technology 2015 v.12 no.7 pp. 2191-2200
ISSN:
1735-1472
Subject:
algorithms; correlation; neural networks; prediction; rain gauges; rivers; stream flow; watersheds; Turkey (country)
Abstract:
... In this study, applicability of successive-station prediction models, as a practical alternative to streamflow prediction in poor rain gauge catchments, has been investigated using monthly streamflow records of two successive stations on Çoruh River, Turkey. For this goal, at the first stage, based on eight different successive-station prediction scenarios, feed-forward back-propagation (FFBP) neu ...
DOI:
10.1007/s13762-014-0613-0

42. Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering

Author:
Bernhard Seifert; Sandor Csösz
Source:
ZooKeys 2015 v.479 pp. 37-64
ISSN:
1313-2970
Subject:
Temnothorax; Turkey (country); algorithms; data collection; discriminant analysis; equipment; hybridization; nests; taxon descriptions; Bulgaria; Ukraine
Abstract:
... The paper integrates two independent studies of numeric morphology-based alpha-taxonomy of the cryptic ant species Temnothorax crassispinus (Karavajev, 1926) and Temnothorax crasecundus sp. n. conducted by different investigators, using different equipment, considering different character combinations and evaluating different samples. Samples investigated included 603 individual workers from 203 n ...
DOI:
10.3897/zookeys.479.8510

43. An automated algorithm for dating annually laminated sediments using X-ray radiographic images, with applications to Lake Van (Turkey), Lake Nautajarvi (Finland) and Byfjorden (Sweden)

Author:
Emre Damcı; M. Namık Çağatay
Source:
Quaternary international 2016 v.401 pp. 174-183
ISSN:
1040-6182
Subject:
X-radiation; algorithms; automation; lakes; models; paleoecology; radiography; sediments; watersheds; Finland; Sweden; Turkey (country)
Abstract:
... Annually laminated (varved) sediments in marine and lake basins are important archives for paleoenvironmental and paleoclimatic reconstructions, especially with their property to provide a continuous chronology. In this study we introduce a new approach for counting laminae using both digital and analogue X-ray radiographic images. The requirement for the method is that the resolution of the image ...
DOI:
10.1016/j.quaint.2015.05.007

44. Design and implementation of a smart solid waste collection system

Author:
K. Cavdar; M. Koroglu; B. Akyildiz
Source:
International journal of environmental science and technology 2016 v.13 no.6 pp. 1553-1562
ISSN:
1735-1472
Subject:
algorithms; cities; collectors; developed countries; developing countries; philosophy; planning; solid wastes; systems engineering; urban areas; urbanization; Turkey (country)
Abstract:
... Solid waste collection systems are very important in today’s urban environment. The last three decades witnessed the development in urban areas over rural ones in a process called urbanization. Growth of urbanization is much more in developing countries than in the developed countries to the extent that it became a trend characterizing several developed and even least developed countries. Unfortun ...
DOI:
10.1007/s13762-016-0993-4

45. Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

Author:
Zaher Mundher Yaseen; Ozgur Kisi; Vahdettin Demir
Source:
Water resources management 2016 v.30 no.12 pp. 4125-4151
ISSN:
0920-4741
Subject:
algorithms; artificial intelligence; flood control; linear models; periodicity; prediction; regression analysis; river water; stream flow; water power; Iraq; Turkey (country)
Abstract:
... Streamflow forecasting and predicting are significant concern for several applications of water resources and management including flood management, determination of river water potentials, environmental flow analysis, and agriculture and hydro-power generation. Forecasting and predicting of monthly streamflows are investigated by using three heuristic regression techniques, least square support v ...
DOI:
10.1007/s11269-016-1408-5

46. Evaluation of spatio-temporal variability in Land Surface Temperature: A case study of Zonguldak, Turkey

Author:
Aliihsan Sekertekin; Senol Hakan Kutoglu; Sinasi Kaya
Source:
Environmental monitoring and assessment 2016 v.188 no.1 pp. 30
ISSN:
0167-6369
Subject:
Landsat; algorithms; business enterprises; case studies; coal; forests; heat island; industrialization; iron; issues and policy; land use; power plants; steel; surface temperature; sustainable development; urbanization; Turkey (country)
Abstract:
... The aim of this study is to analyze spatio-temporal variability in Land Surface Temperature (LST) in and around the city of Zonguldak as a result of the growing urbanization and industrialization during the last decade. Three Landsat 5 data and one Landsat 8 data acquired on different dates were exploited in acquiring LST maps utilizing mono-window algorithm. The outcomes obtained from this study ...
DOI:
10.1007/s10661-015-5032-2

47. Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products

Author:
Gökçen Uysal; Aynur Şensoy; A. Arda Şorman
Source:
Journal of hydrology 2016 v.543 pp. 630-650
ISSN:
0022-1694
Subject:
Snowmelt Runoff Model; air temperature; algorithms; basins; moderate resolution imaging spectroradiometer; neural networks; runoff; satellites; snow; snowmelt; snowpack; spring; stream flow; summer; watersheds; wavelet; Turkey (country)
Abstract:
... This paper investigates the contribution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Snow Cover Area (SCA) product and in-situ snow depth measurements to Artificial Neural Network model (ANN) based daily streamflow forecasting in a mountainous river basin. In order to represent non-linear structure of the snowmelt process, Multi-Layer Perceptron (MLP) Feed-Forward Backpropag ...
DOI:
10.1016/j.jhydrol.2016.10.037

48. Investment planning and strategic management of sustainable systems for clean power generation: An ε-constraint based multi objective modelling approach

Author:
Şebnem Yılmaz Balaman
Source:
Journal of cleaner production 2016 v.137 pp. 1179-1190
ISSN:
0959-6526
Subject:
algorithms; bioenergy; biomass; case studies; cost effectiveness; decision making; design for environment; electricity; energy; energy industry; environmental performance; greenhouse gas emissions; greenhouse gases; investment planning; issues and policy; models; pollution; power generation; production technology; supply chain; uncertainty; Turkey (country)
Abstract:
... Biomass based energy production has been considered as a part of the solution to energy crisis, which is mainly caused by diminishing fossil fuel resources and environmental pollution from traditional fossil fuel based energy production systems. Therefore, it is important to design sustainable and effective systems for biomass based energy production to provide competitive advantage on fossil fuel ...
DOI:
10.1016/j.jclepro.2016.07.202

49. Modeling reference evapotranspiration using three different heuristic regression approaches

Author:
Ozgur Kisi
Source:
Agricultural water management 2016 v.169 pp. 162-172
ISSN:
0378-3774
Subject:
air temperature; algorithms; drinking water; evapotranspiration; models; planning; relative humidity; solar radiation; wind speed; Mediterranean region; Turkey (country)
Abstract:
... Modeling reference evapotranspiration (ET0) is important in reservoir management, planning regional water resources and evaluation of drinking-water supplies. The study investigates the ability of three different heuristic regression approaches, least square support vector regression (LSSVR), multivariate adaptive regression splines (MARS) and M5 Model Tree (M5Tree) in modeling ET0. The first part ...
DOI:
10.1016/j.agwat.2016.02.026

50. Revealing information and equipment redundancies in air pollution monitoring networks in Turkey

Author:
N. Güler Dincer; M. Oğuzhan Yalçin
Source:
International journal of environmental science and technology 2016 v.13 no.12 pp. 2927-2938
ISSN:
1735-1472
Subject:
air pollution; air quality; algorithms; equipment; models; monitoring; statistics; time series analysis; Turkey (country)
Abstract:
... Air pollution monitoring networks are the primary tools for measuring, managing and assessing air quality. However, these networks need considerable financial resources due to expensive devices and analyses, as well as such issues as the likely redundancy in the number of samples. The primary objective of this study was to identify possible information and equipment redundancies in Turkish monitor ...
DOI:
10.1007/s13762-016-1118-9