20230704
06501300
1.0
XTools Pro Metadata
FALSE
PlanChangeProposed_FloodHazard10yr_Simplified
002
1669016.368000
1742194.086900
6005499.676800
6092221.416900
1
Projected
GCS_NZGD_2000
Linear Unit: Meter (1.000000)
NZGD_2000_New_Zealand_Transverse_Mercator
<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/2.9.0'><WKT>PROJCS["NZGD_2000_New_Zealand_Transverse_Mercator",GEOGCS["GCS_NZGD_2000",DATUM["D_NZGD_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1600000.0],PARAMETER["False_Northing",10000000.0],PARAMETER["Central_Meridian",173.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",2193]]</WKT><XOrigin>-4020900</XOrigin><YOrigin>1900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2193</WKID><LatestWKID>2193</LatestWKID></ProjectedCoordinateSystem>
20231003
10503100
20231003
10503100
150000000
5000
ItemDescription
Esri ArcGIS 12.8.0.29751
Proposed Flood Hazard 10yr
Regionwide Rivers Flood Hazard Zone 1 (RRFHZ1) – the area potentially susceptible to river flooding in a 10% AEP / 10Yr ARI
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>River flood hazard zones were developed by 2 different external expert consultants between 2016 and 2021. The layers are derived by advanced models using empirical calculations. </SPAN></SPAN></P><P /><P><SPAN><SPAN>Two different models were used to construct the river flood layers: TUFLOW (Water Technology, 2021), InfoWorks (URS, 2016). The reports detailing the methodologies, and risk assessment on the Priority Rivers, can be accessed from the NRC website.</SPAN></SPAN></P></DIV></DIV></DIV>
NRC Natural Hazards; Water Technology; URS; MWH
Flood Hazards
Natural Hazards
Plan Change
PC1-2023
<DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Disclaimer</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Northland Regional Council’s River Flood Hazard Maps have been compiled using best practice. These maps have been created from analysis of information using modern techniques and based on the best information currently available. </SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>However, they do not necessarily show the greatest extent of river flooding experienced in the past, or likely to be suffered in the future.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The river flood hazard maps indicate the extent of land that has been assessed as likely or potentially at risk of flooding by the rivers, under the different rainfall / storm scenarios including climate change.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The maps cover all our river catchments and associated rivers in the region.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN>While the maps have been quality controlled, their accuracy cannot be guaranteed. Accordingly, these maps should not</SPAN><SPAN> </SPAN><SPAN>be relied upon as the sole basis for the making of any decision in relation to potential river flood hazard risk. Further, the</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>maps should be interpreted only by an expert duly qualified to interpret these maps and when so interpreted, should</SPAN><SPAN> </SPAN><SPAN><SPAN>not be utilised without reference to other source information and data.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Northland Regional Council makes no representations, warranties or undertakings about any of the information in these maps and/or electronic files including, without limitation, their accuracy, their completeness or their quality or fitness for any particular purpose. While the authors have done their best to provide accurate information, users are requested to inform Northland Regional Council of any suspected errors in the maps and/or electronic files.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN>To the fullest extent permitted by applicable law, neither Northland Regional Council nor any of its members, officers,</SPAN><SPAN /><SPAN>associates, consultants, employees, affiliates, servants, agents or other representatives shall be liable for loss or damage arising out of, or in connection with, the use of, or the inability to use, the information contained in these maps and/or electronic files including, but not limited to, indirect or consequential loss or damages, loss of data, income, profit, or opportunity, loss of, or damage to, property and claims of third parties, even if Northland Regional Council has been advised of the possibility of such loss or damages, or such loss or damages were reasonably</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>foreseeable.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN>Northland Regional Council reserves the right to change the content and/or presentation of any of the information</SPAN><SPAN> </SPAN><SPAN>contained in these maps at its sole discretion, including these notes and disclaimer. Use of these maps is subject to</SPAN><SPAN> </SPAN><SPAN>these disclaimers and exclusions, and by using these maps the user is signifying his or her agreement to be bound by</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>these exclusions and disclaimers.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>When using these maps, the users shall clearly identify that the results may be subject to change at the discretion of Northland Regional Council.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN>These disclaimers and exclusions shall be governed by, and construed in accordance with, the laws of New Zealand. If</SPAN><SPAN> </SPAN><SPAN>any provision of these disclaimers and exclusions shall be unlawful, void or for any reason unenforceable, that</SPAN><SPAN> </SPAN><SPAN>provision shall be deemed severable and shall not affect the validity and enforceability of the remaining provisions.</SPAN></P></DIV></DIV></DIV>
1
173.759205
174.579326
-35.303103
-36.092682
Enterprise Geodatabase Feature Class
dataset
EPSG
6.15(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
PlanChangeProposed_FloodHazard10yr_Simplified
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
ModelNo
Model No.
String
50
0
0
Location
Location
String
50
0
0
SOURCE
SOURCE
String
150
0
0
REFERENCE
REFERENCE
String
10
0
0
Version
Version
Date
8
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20231003
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