<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20240624</CreaDate>
        		
        <CreaTime>11121800</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>FALSE</SyncOnce>
        		
        <DataProperties>
            			
			
            <itemProps>
                				
                <itemName Sync="TRUE">NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels</itemName>
                				
				
                <nativeExtBox>
                    					
                    <westBL Sync="TRUE">913848.417038</westBL>
                    					
                    <eastBL Sync="TRUE">1065777.822496</eastBL>
                    					
                    <southBL Sync="TRUE">120828.051373</southBL>
                    					
                    <northBL Sync="TRUE">271240.928368</northBL>
                    					
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                    				
                </nativeExtBox>
                				
                <imsContentType Sync="TRUE">002</imsContentType>
            </itemProps>
            			
            <coordRef>
                				
                <type Sync="TRUE">Projected</type>
                				
                <geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
                				
                <csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
                				
                <projcsn Sync="TRUE">NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet</projcsn>
                				
                <peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.7.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,984250.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-74.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,40.66666666666666],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,41.03333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,40.16666666666666],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2263]]&lt;/WKT&gt;&lt;XOrigin&gt;-120039300&lt;/XOrigin&gt;&lt;YOrigin&gt;-96540300&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102718&lt;/WKID&gt;&lt;LatestWKID&gt;2263&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
                			
            </coordRef>
            		
        </DataProperties>
        		
        <SyncDate>20240628</SyncDate>
        		
        <SyncTime>09151600</SyncTime>
        		
        <ModDate>20240628</ModDate>
        		
        <ModTime>09151600</ModTime>
        		
        <ArcGISProfile>ItemDescription</ArcGISProfile>
        		
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
        	
    </Esri>
    	
    <eainfo>
        		
        <detailed Name="NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels">
            			
            <enttyp>
                				
                <enttypl Sync="TRUE">NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels</enttypl>
                				
                <enttypt Sync="TRUE">Feature Class</enttypt>
                				
                <enttypc Sync="TRUE">2</enttypc>
                			
            </enttyp>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                				
                <attalias Sync="TRUE">OBJECTID</attalias>
                				
                <attrtype Sync="TRUE">OID</attrtype>
                				
                <attwidth Sync="TRUE">4</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                				
                <attrdef Sync="TRUE">Internal feature number.</attrdef>
                				
                <attrdefs Sync="TRUE">Esri</attrdefs>
                				
                <attrdomv>
                    					
                    <udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
                    				
                </attrdomv>
                			
            </attr>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">Shape</attrlabl>
                				
                <attalias Sync="TRUE">Shape</attalias>
                				
                <attrtype Sync="TRUE">Geometry</attrtype>
                				
                <attwidth Sync="TRUE">0</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                				
                <attrdef Sync="TRUE">Feature geometry.</attrdef>
                				
                <attrdefs Sync="TRUE">Esri</attrdefs>
                				
                <attrdomv>
                    					
                    <udom Sync="TRUE">Coordinates defining the features.</udom>
                    				
                </attrdomv>
                			
            </attr>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">Flooding_Category</attrlabl>
                				
                <attalias Sync="TRUE">Flooding_Category</attalias>
                				
                <attrtype Sync="TRUE">SmallInteger</attrtype>
                				
                <attwidth Sync="TRUE">2</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                			
            </attr>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">Shape_Length</attrlabl>
                				
                <attalias Sync="TRUE">Shape_Length</attalias>
                				
                <attrtype Sync="TRUE">Double</attrtype>
                				
                <attwidth Sync="TRUE">8</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                				
                <attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
                				
                <attrdefs Sync="TRUE">Esri</attrdefs>
                				
                <attrdomv>
                    					
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                    				
                </attrdomv>
                			
            </attr>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                				
                <attalias Sync="TRUE">Shape_Area</attalias>
                				
                <attrtype Sync="TRUE">Double</attrtype>
                				
                <attwidth Sync="TRUE">8</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                				
                <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
                				
                <attrdefs Sync="TRUE">Esri</attrdefs>
                				
                <attrdomv>
                    					
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                    				
                </attrdomv>
                			
            </attr>
            		
        </detailed>
        	
    </eainfo>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAy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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    	
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    	
    <mdDateSt Sync="TRUE">20240628</mdDateSt>
    	
    <dataIdInfo>
        <idPurp>Citywide Geographic Information System (GIS) layer that shows areas of potential moderate flooding under a precipitation event of 2.13 inches per hour with Current Sea Levels scenario.  Please see the New York City Stormwater Resiliency Plan for more information. Please direct questions or comments to StormwaterResiliency@cityhall.nyc.gov.

NYC Stormwater Flood Maps:

https://www1.nyc.gov/assets/orr/pdf/publications/stormwater-resiliency-plan.pdf

http://nyc.gov/stormwater-map</idPurp>
        <idCitation>
            <resTitle>NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <searchKeys>
            <keyword>NYC</keyword>
            <keyword>DEP</keyword>
            <keyword>Stormwater</keyword>
            <keyword>Flooding</keyword>
            <keyword>Map</keyword>
        </searchKeys>
        <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The geodatabase contains a single feature class that shows two (2) flooding categories. The "1-Nuisance Flooding" (ponding depths greater or equal to 4 in. and less than 1 ft.) and "2-Deep and Contiguous Flooding" (ponding depths 1 ft. and greater) categories were created using hydrologic and hydraulic computer models and represent flood risk due to moderate rainfall. Please refer to the New York City Stormwater Resiliency Plan for more information on the purpose of the study, how datasets were developed, applications for this data, and other details.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;A coded value domain is used for the "Flooding_Category" field. See Column Info tab of the Data Dictionary for definition of each code.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The New York City Stormwater Flood Maps show areas of potential flooding of at least 0.25 contiguous acres with flood depths of 4 inches or more. This dataset contains some potential flooding areas less than 0.25 acres due to proximity and overlap with masking layers.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>Arcadis</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Disclaimer:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;This map was developed by the City of New York and is provided solely for informational purposes. The map shows areas of potential flooding of at least 0.25 contiguous acres with flood depths of 4 inches or more. The map is intended to be an informational tool and does not provide the exact depth of flooding at any location. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;The map was created using hydrologic and hydraulic computer models and, therefore, the accuracy of results is limited by the available data input to the models, resolution of the models, and model calibration accuracy. The models do not account for site-specific conditions that may affect flooding, e.g., private drainage infrastructure, obstructed or clogged drains or future conditions such as new development and construction, or deterioration and replacement of existing infrastructure. The maps are intended to show the relative risk of flooding in public areas from stormwater runoff due to rain only. While the hydrologic and hydraulic models account for the effect of sea level rise on stormwater drainage infrastructure, they do not represent flood risk from coastal inundation due to sea level rise and/or storm surge.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The City disclaims any liability for errors and make no warranties express or implied, including, but not limited to, implied warranties of merchantability and fitness for a particular purpose as to the quality, content, accuracy or completeness of the information, text graphics, links and other items contained in this map. Any determination of topography or contours, or any depiction of physical improvements, property lines or boundaries is for general information only and shall not be used for the design, modification, or construction of improvements to real property or for flood plain determination.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
            </Consts>
        </resConst>
        <envirDesc Sync="FALSE">Esri ArcGIS 12.7.0.26828</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <dataExt>
            <vertEle>
                <vertMinVal Sync="TRUE">0.000000</vertMinVal>
                <vertMaxVal Sync="TRUE">0.000000</vertMaxVal>
            </vertEle>
            <geoEle/>
        </dataExt>
        <dataExt>
            <geoEle>
                <GeoBndBox esriExtentType="search">
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                    <westBL Sync="TRUE">-74.254706</westBL>
                    <eastBL Sync="TRUE">-73.705041</eastBL>
                    <northBL Sync="TRUE">40.911167</northBL>
                    <southBL Sync="TRUE">40.497945</southBL>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    	
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="2263"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">2</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="NYC_Stormwater_Flood_Map_Moderate_Flood_2_13_inches_per_hr_with_Current_Sea_Levels">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="4"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">2</efeacnt>
                <spindex Sync="TRUE">TRUE</spindex>
                <linrefer Sync="TRUE">FALSE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
</metadata>