<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">GEP</journal-id><journal-title-group><journal-title>Journal of Geoscience and Environment Protection</journal-title></journal-title-group><issn pub-type="epub">2327-4336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gep.2019.711011</article-id><article-id pub-id-type="publisher-id">GEP-96593</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Formation of Eski&amp;#351;ehir Province Flood Maps with Using of Geographical Information Systems
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yıldırım</surname><given-names>Bayazit</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Recep</surname><given-names>Bakiş</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cengiz</surname><given-names>Koç</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Turgut</surname><given-names>Kaya</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nedim</surname><given-names>Özdemir</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Civil Engineering, Bilecik &amp;amp;#350;eyh Edebali University, Bilecik, Turkey</addr-line></aff><aff id="aff5"><addr-line>Department of Basic Sciences, Faculty of Fisheries, Mugla S&amp;amp;#305;tk&amp;amp;#305; Kocman University, Mugla, Turkey</addr-line></aff><aff id="aff3"><addr-line>Department of City and Regional Planning, Mugla S&amp;amp;#305;tk&amp;amp;#305; Kocman University, Mu&amp;amp;#287;la, Turkey</addr-line></aff><aff id="aff4"><addr-line>Department of Construction, Vocational School, Batman University, Batman, Turkey</addr-line></aff><aff id="aff2"><addr-line>Department of Civil Engineering, Eskisehir Technical University, Eski&amp;amp;#351;ehir, Turkey</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>11</month><year>2019</year></pub-date><volume>07</volume><issue>11</issue><fpage>151</fpage><lpage>159</lpage><history><date date-type="received"><day>25,</day>	<month>August</month>	<year>2019</year></date><date date-type="rev-recd"><day>23,</day>	<month>November</month>	<year>2019</year>	</date><date date-type="accepted"><day>26,</day>	<month>November</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this study, it is aimed to develop the flood risk analysis of Porsuk River, which is responsible for naming of the Porsuk Basin sub basin of Sakarya Basin, by utilizing the methods of Remote Sensing (RS) and Geographical Information Systems (GIS). In addition, flood elevation effects of Porsuk River in Eski
  &amp;#351;ehir city and the regions around were investigated. Necessary data for study were obtained from Eski
  &amp;#351;ehir 3. Regional Directorate of State Hydraulic Works archives. For analyses, the cross section of Porsuk River was defined in the Hydrologic Engineering Centers River Analysis System (HEC-RAS) software. Subsequently, recurring periods of 50, 100 and 1000 years discharge of Porsuk River which is calculated as 51.83 m
  <sup>3</sup>/s, 60.15 m
  <sup>3</sup>/s and 86.66 m
  <sup>3</sup>/s respectively were inputted in the software to obtain analysis results. Obtained results from the present study and topographic data were compared and interpreted. As a result, elevation of flood and its risks for urban regions were studied and presented.
 
</p></abstract><kwd-group><kwd>GIS</kwd><kwd> HEC-RAS</kwd><kwd> Flood</kwd><kwd> Porsuk River</kwd><kwd> Eski&amp;#351;ehir</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Floods are defined as the occurrence of a natural disaster by a river overflowing from its bed for various reasons, causing damage to the surrounding lands, settlements, infrastructure facilities and living beings and creating a flow size to the extent that it interrupts normal socio-economic activity in the impact zone (Uşkay &amp; Aksu, 2002). Floods may occur naturally or may be caused by irregular urbanization, closure of river beds, destruction of vegetation and insufficient precautions. Determining the areas that may be exposed to natural or man-made floods and determining the measures to be taken against floods is one of the important problems that remain a contemporary problem in terms of engineering.</p><p>Within the scope of this study, flood modeling studies have been carried out in the regions where Porsuk Stream in Porsuk Basin passes through the center of Eskişehir. For this purpose, numerical elevation model (NEM) and HEC-RAS (HEC, 2010) based hydraulic models of the basin area were established in a geographical information systems (GIS) environment. In addition, 50, 100 and 1000 year recurring flood flow values for Porsuk Creek were obtained by analyzing the flow data obtained from the 3rd Regional Directorate of DSI. Then, flood scenarios were developed for Eskişehir province and then the regions with risk of flood were determined using these flow rates obtained for these different recurring periods.</p></sec><sec id="s2"><title>2. Materials and Method</title><p>Since floods are one of the natural disasters that cause great loss of life and property in many parts of the world, the areas where floods may be at risk should be determined. In this context, it is necessary to establish the infrastructure in order to determine the areas where the surface profiles formed by the HEC on the 3D terrain models to be established through GIS and to take measures (HEC, 2009, 2010; Singh, 1996).</p><p>GIS is a system that performs the functions of obtaining, storing, storing, processing and presenting the graphical (spatial or geographical) and non-graphical (spatial) data obtained by location-based observations in a unified manner. GIS has been used for many years to determine water quality, to take flood measures and to solve water related problems such as providing water supply. In particular, hydrologists need data such as water resources, precipitation, drainage, flow movement and water quality for the GIS solutions to be prepared in order to solve these problems (Durdu, 2003; Kılı&#231;eri, 2000; &#214;zcan et al., 2009; &#214;zcan, 2008; Ozdemir, 2007).</p><p>There are many studies in the literature on flood risk analysis. In order to be given some of these studies, Silva et al. (2014) showed the potential of using HEC-RAS and GIS software for high-resolution imaging of the flood areas. In this study, HEC-RAS model was simulated in the city of Rios dos Cedros. In another study, flood spread maps were created using HEC-RAS and GIS in semi-arid regions of Iran (Salajegheh et al., 2009). It has been seen that the studies in the literature have been conducted with similar approaches and methods. Spatial mapping in flood risk management can be done very quickly and practically with HEC-RAS and GIS software.</p><p>In the study, ArcGIS 9.3 GIS software and its extensions ArcHydro and Hec-GeoRAS 4.1 have been used for hydraulic modeling. HEC-RAS 4.1 hydraulic modeling software was used to calculate the flow geometry and flow data required for modeling.</p></sec><sec id="s3"><title>3. Study Area</title><p>In this study, flood modeling was conducted in Porsuk Basin, which is located in the Eskişehir province. Porsuk Basin is a sub-basin of Sakarya Basin and has an area of 11,113.66 km<sup>2</sup> in northwestern Anatolia. The basin lies between 29˚38' - 31˚59' east longitudes and 38˚44' - 39˚99' north latitudes. The basin is 202 km in east-west direction and 135 km in north-south direction (<xref ref-type="fig" rid="fig1">Figure 1</xref>). More than 60% of the basin is mountainous. The surface waters of the Porsuk Basin are collected by the Porsuk River and after reaching 436 km in the basin, it flows into the Sakarya River at a height of 660 m. The long-term average annual rainfall of the Porsuk Basin is 445.1 mm (Bakış et al., 2008).</p>Topographic Properties of the Study Area<p>Using the numerical elevation model of Porsuk Basin, topographic features of the basin such as slope, aspect and shaded relief map of the basin were extracted. Each set of data represents important information in watershed planning. The spatial characteristics of the basin are classified and given in Figures 2(a)-(c).</p><p>The basin generally has a slope of less than 15 degrees. The slope of an area encompassing approximately 160.33 km<sup>2</sup>, which is 1.44% of the Porsuk Basin, has a topography above 30˚ degrees (<xref ref-type="fig" rid="fig2">Figure 2</xref>(a)). The aspect analysis is the horizontal angle of the surface with the north and approximately 3790.96 km<sup>2</sup> of the research area consists of slopes facing south, southeast and southwest (<xref ref-type="fig" rid="fig2">Figure 2</xref>(b)). From the shaded relief map given in <xref ref-type="fig" rid="fig2">Figure 2</xref>(c), it is generally possible to see the structure and flat areas of the basin more clearly.</p></sec><sec id="s4"><title>4. Modeling and Mapping of Flood</title><sec id="s4_1"><title>4.1. Creating Spatial or Geographic Data</title><p>Spatial data generated for flood mapping are the data of river beds for hydraulic modeling. These data generally consist of the establishment of connection of river systems, bed cross sections, identification of connection points, data of hydraulic structures and cross-section interpolations (Akar &amp; Maktav, 2008). The spatial data used in this study are from streams, river shores, flow paths and cross sections. These data are from 3.66 km<sup>2</sup> of the Porsuk basin. Triangulated Irregular Network (TIN) model, which is produced from 1/25,000 digital topographic maps, was used as base data for the creation of spatial data. After the production of TIN, digitization of the geometric data in the area to be modeled and data entry operations were performed (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>TIN model was used to digitize the data. Some of the features that are taken into consideration when digitizing and entering spatial or geographical data are as follows:</p><p>• Streams, stream shores and flow paths have been digitized in the direction of flow.</p><p>• The flow paths are defined (right, left and center).</p><p>• The bearing cross-sections have been digitized from the left bank to the right bank in the direction of stream flow.</p><p>• The cross-section lines intersected the river and flow paths only once and the two lines were not intersected.</p></sec><sec id="s4_2"><title>4.2. Creating a Flood Model</title><p>HEC-RAS is a software model which models one-dimensional, regular and irregular currents (Merwade, 2016). In order to do modeling, it is necessary to enter the geometric data and the current data in the river bed (&#214;zdemir, 2007). The geometric data of the study area were produced in HEC GeoRAS and other data were also completed in this section. The data were then transferred to the HEC-RAS software. After the completion of the geometric data input, the current data of the stream in the area where the modeling will be made, was entered. Flow data for flood repetition frequencies were accepted as Steady Flow data. Since the slope value of the study area is not too high, regular flow calculation was selected as subcritical. Then, 50, 100, 1000-year models were produced (<xref ref-type="fig" rid="fig4">Figure 4</xref>). In this study, 64-year flow data were used for the Flow Observation Station (FOS) data in the Yeni&#231;iftlik River Basin. Thus, the year of 50, 100 and 1000 repetition frequencies of the maximum flood flow rates of the basin were calculated using Log Pearson Type III probability distribution function. Log Pearson Type III distribution function, which is a statistical technique applied to annual maximum flow data, is used to estimate flood frequencies at different intervals on rivers.</p><p>According to the determined flood flow rates, the data were analyzed at HEC GeoRAS and flood maps of 50,100 and 1000 years were created. These maps were also transferred into the Google Earth environment for a more detailed impression of Eskişehir province (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>In this study, 361.6 km<sup>2</sup> of the Porsuk basin, which also encompasses the province of Eskişehir, was investigated using GIS. In the study area, Porsuk dam was built for flood prevention after past flood events. However, this part of the basin has the potential for flooding due to sudden and continuous rains, as well as due to potential scenarios such as the collapse of the dam. Possible floods that may occur can severely affect settlement areas, industrial zones and fertile agricultural lands. In the hydrological and hydraulic modeling performed for flood mapping studies, flood rates the year of 50, 100 and 1000 were calculated using maximum flood flow rates of 64 years and possible flood maps were made by hydraulic modeling according to the obtained values. TIN model was used for the geometric data produced in the hydraulic model application and the stream center line, flow paths and cross sections were used; and then they were digitized via TIN model.</p><p>In this study, hydrological and hydraulic modeling is applied to determine the flood area and depth. As a result of the study, more detailed images were obtained by transferring the flood maps into Google Earth environment. As an outcome of this study, the regions of Eskişehir province that are under risk when exposed to such flood flow rates have been revealed.</p><p>During the flood periods of 50, 100 and 1000 years, the most affected districts of Eskişehir were S&#252;mer and Ertuğrulgazi. In addition, some of the neighborhoods of Vişnelik and Şeker have also been affected by these floods. The reason for these neighborhoods to be affected more frequently has been found to be that they are built on the plain area where the Porsuk Stream passes.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Bayazit, Y., Bakiş, R., Ko&#231;, C., Kaya, T., &amp; &#214;zdemir, N. (2019). Formation of Eskişehir Province Flood Maps with Using of Geographical Information Systems. 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