Risk Identification
Conduct Initial Flood-path Analysis
With the initial flood-path analysis step, the PDT uses the SCT to get enough of a basic understanding of the risk / flood pattern to properly develop the appropriate number of HSIPs and planning reaches. Using the study area polygon and a HSIP exported from the SCT, draw the initial study area and hazard source polylines in a GIS software tool. The HSIP should cover all potential sources of flooding. Once these shapefiles are drawn, reimport them back into the SCT.
Select three to five AEF flood hazards and a relative sea level change (RSLC) scenario to perform flood path visualization. Run the initial floodplain analysis by toggling selected AEF flood hazards and observe flood boundary extents. Based on these results supplemented with any other relevant study considerations, the PDT should be able to decide the appropriate number and configuration of HSIPs and planning reaches needed to capture the coastal storm risk for the study.
Draw Hazard Source Interface Polyline(s) & Planning Reach Polygon(s)
Draw the number of hazard source interface polylines and planning reach polygons needed to represent/ encapsulate the risk and reimport them into the study. Ensure all HSIPs and planning reaches fall within the study area boundary (If not the study area boundary should be redrawn and reimported as well).
The shapefile template spatial organization & hierarchy rules are as follows:
- Study area boundaries should contain HSIPs and planning reaches.
- A study can have multiple study area boundaries.
- Study area boundaries can contain one or more planning reaches.
- A planning reach can contain one or more HSIPs.
- An HSIP must be linked to a single planning reach.
Once the PDT is satisfied with the study spatial arrangement via SCT shapefile templates, then study risk identification steps can begin. When drawing HSIPs and planning reaches,
Populating the Study Area Information
Populate the study area details tab of the SCT UI with information about the study. Such details include the study P2 number, study type (test or official), non-federal sponsor, the district executing the work and background information. Each entry should have a separate text box. Since a study can have multiple sponsors and multiple study authorities, each should be entered separately.
Table 1: Study Area Information
Study Area Information | Description |
Study P2 Number | Unique project number for each study |
Study Area Boundary ID | Unique Identifier designated for the study area boundary |
Study Name | Formal name for the study effort. |
Study Authority(s) | Enter all study authorities that apply. Each authority should be entered separately. |
Non-Federal Sponsor (NFS) | Enter all NFS for the study effort. If there are multiple sponsors, they should be entered separately. |
District | Enter the district responsible for study execution |
County | County where study takes place. Could be used to access socio-economic data through APIs |
State | State where study takes place. Could be used to access socio-economic data through API’s |
Background Information | Background information should include location, historical details, and information on the need for the effort. |
Populating the Planning Reach Polygon Data
Planning reach details for each planning reach should include a planning reach code, a planning reach name, and a location description at this stage of study development. Most of the information to be assigned to the planning reaches will occur during the risk statement development step.
Table 2: SCT Planning Reach Polygon Data
Planning Reach Information | Description |
Study Area Boundary ID | Foreign key linking the planning reach to the study area boundary |
Planning Reach Code | A simple code for reference by the PDT. This code will also serve to link HSIPs, risk statements, planning objectives and constraints, and measures. |
Planning Reach Name | A name or textual descriptor for the planning reach designated by the PDT |
Location / Description | Information describing the location, area, municipality for the planning reach. |
Populating Hazard Source Interface Polyline (HSIP) Data
Select each HSIP and populate the associated data within the SCT UI to begin the risk identification. Table 3 provides greater detail on the HSIP attribute fields.
Table 3: SCT Hazard Source Interface Polyline Data
Item | Item Description |
Unique ID | Unique identifier for HSIP polyline |
Name | Descriptive identifier provided by user |
HSIP Type | Type of HSIP intended to provide a description of the physical setting and insight into the shoreline type. See Table 4 for more detail |
Planning Reach Code | Planning reach containing the HSIP. Each HSIP can only belong to a single planning reach. |
Historic Erosion Rate | Rate of erosion for the HSIP in question. This parameter is used to estimate potential erosion exposure. |
Wave Energy Exposure | The amount of wave energy the shoreline is exposed to and the characteristics of the important forcing events; i.e., important events are the result of short duration tropical events, longer duration extratropical events, or other. Options include (Low, Moderate, or High, based on engineering judgement). A qualitative (and quantitative, if available) understanding of wave induced flooding as a result of wave setup and/or infragravity wave contributions to total water level will aid study teams in evaluation of measure effectiveness. |
Length (ft) | Length of the HSIP in question. Could be used for measure cost computations during the measure costing phase. Also the HSI length will be used to compute total overtopping volumes from a given event. |
Relevant Water Body Type and Name | Select the adjacent water body type and the name of that water body. Ideally this would be a series of radio buttons next to a text box. Select all that apply. Water body types would include Ocean, Tidally Connected River, ICWW, Bay, Sound, Inlet, and Great Lakes. |
Associated CHS Savepoints | CHS savepoints will be assigned to HSIs, or portions thereof. The SWL hazard will be compared with the HSI elevations to understand the locations susceptible to flooding under various AEF hazards. The data will also be used as input to overtopping calculations. |
Transect Geometries | Key geometric inputs are required to calculate overtopping, e.g., toe elevation, slope, crest elevation, etc. The geometry should be reflective of the length assigned to HSI-CHS save point pairs such that overtopping predictions are valid. |
Protection Types | This attribute defines the overtopping equation to use for a given HSI-CHS save point pair. Available options include floodwall (seawall/bulkhead), levee, and revetment. Levees will be the assumed protection type for beach-dune systems until a beach-specific overtopping routine is specified. |
Table 4. HSIP Categories
Ocean- Barrier Island | |
Ocean- Mainland | |
Backbay-Facing Barrier Island | |
Backbay-Facing Mainland | |
Riverine Barrier Island | |
Riverine Mainland | |
IWW Barrier Island | |
IWW Mainland | |
GL Mainland |
Risk Identification: Building Risk Statements
The risk identification step will culminate in a risk statement for the user-specified hazard, physical setting, exposure, and vulnerability settings. Risk statements are formulated at the planning reach level and form the basis for the planning objectives.
Hazard & Coastal System Response
Selection of H&H Parameters
Select the appropriate RSLC scenario along with three to five AEF events. This will factor RSLC into the scoping risk estimate and allow the floodplain map visualization to be generated when the risk statement is executed.
Define Hazard Sources
Select the planning reach and select ‘Build Risk Statement’ to begin. Select all hazard sources that are anticipated to drive the risk. The hazard source list shown in Table 5 includes typical hazard sources such as coastal storms, coastal erosion, tide & RSLC. The list also includes additional sources of flooding based on the WRDA 2022 implementation guidance[1]. While there is no provision for estimating risk or risk signals for rainfall, seasonal flooding, groundwater, or other sources of flooding, these items could have a significant effect on the study scope and should be highlighted in the documentation.
Table 5: Potential Hazard Sources
Hazard Type/Source | Hazard Source Description |
Coastal Storms | Associated with Inundation, wave attack, and erosion coinciding with a hurricane or a coastal flood |
Coastal Erosion | Erosion to a shoreline created by wave climate |
Tidal Flooding + RSLC | A tide of any magnitude or frequency |
Sea level rise | |
Subsidence | |
Coastal Driven Fluvial Flooding | Flooding associated with tidally influenced portions of rivers, bays, and estuaries that are hydrologically connected to a coastal water body |
Riverine Discharge of any magnitude or Frequency | |
Rainfall | Rainfall event of any magnitude or frequency |
Seasonal Flooding | Seasonal variation in water levels |
Groundwater | Groundwater emergence |
Other | Any other driver of flood risk affecting the area within the geographic scope of the study |
A single risk statement can have multiple hazard sources.
- Selecting coastal storms enables the array of AEF events to be run as part of the risk.
- Selecting coastal erosion & wave attack enables potential wave and erosion risk signals to be part of the risk statement and included in the risk estimation.
- Selecting tide & SLC will enable the tide and SLC floodplain visualization as well as enable the tide & SLC risk signal.
Hazard Mitigators
Select all factors related to the hazard that are anticipated to mitigate the risk. These include pluvial flooding, fluvial flooding, or other. A single risk statement can have multiple hazard mitigators. Selection of these mitigators will not factor into the scoping risk estimate but will play in qualitative risk reporting and scoping task assignments and the overall study.
Coastal System Response
The physical setting components of the risk are primarily specified in section XXX. Select the appropriate HSIP(s) from the drop down list the for the planning reach. A risk statement can link to only a single HSIP.
Physical Setting Complicators
Description of relevant physical setting items and complicating factors that would be relevant for the risk. In addition to physical setting descriptions, CSRM studies typically include relevant federal and nonfederal projects that influence the study area and may necessitate consideration when developing study analyses and assumptions.
- Existing Coastal Armor Units
- Future Coastal Armor Units Consideration.
- Hydraulically connected planning reaches
- Fringing reefs
Exposure & Vulnerability
Exposure refers to the persons and/or property subjected to harm from the hazard. Select the exposure type from the standardized list for the risk statement. Exposure types include NSI property assets, exposed populations (persons), critical infrastructure, and EJ communities. Select all exposure types that are relevant to the hazard and physical setting configuration.
Table 6: Exposure Types
Exposure Types | Description | Consequence & Risk Metric |
Public & Private Property | Public & private property and assets represented by National Structure Inventory (NSI) Data | 1) # Assets / Exposed Value 2) Consequences /AEF event 3) Expected Annual Damages |
Exposed Populations | Populations potentially at risk of life loss from direct flooding. Initial populations pulled from NSI data. | 1) Life Loss / AEF Event 2) Annualized Life Loss |
Environmental Justice / Economically Disadvantaged Communities | Areas with economically / environmentally vulnerable populations subject to loss of life and property | 1) Expected Annual Damages 2) Annualized Life Loss |
Critical Infrastructure | Infrastructure critical to maintaining community well-being, public safety, health, and socio-economic connectivity. | T.B.D. |
First Floor Elevation Assignments
Users should provide input on the first-floor elevations prior to risk statement execution. Options for this include:
- COA-1: Use the default values in the NSI data.
- COA-2: Using a user specified average value or distribution by damage category, dynamically overwrite the FFE used as input to the damage computation. Preference for a simplified question method similar to what is used to estimate evacuation rates.
- COA-3: Use of the NSI Survey Tool – Link to the NSI Survey tool to update FFEs then perform damage computations.
- COA-4: All the above. Allow the user to choose from methods 1 - 3 for updating the FFEs.
Evacuation Rate / Estimation of Remaining Population
Simplified question method used in LSRI tool will be used to estimate the population remaining. Details to be determined.
Vulnerability
Vulnerability is the relationship between the exposure and the harm expressed as a damage driving parameter. For CSRM, damage driving parameters consist of erosion, inundation, and wave attack. Within the SCT, the damage drivers are represented as either inundation or erosion/wave attack. Select all that apply from a list of standardized damage driving parameters to build the risk statement. Selecting inundation will trigger inundation driven consequences and EAD calculations. Selecting the erosion & wave attack will allow the erosion & wave attack risk signals to be generated upon execution of the risk statement.
Execute Risk Run & Report / Visualize Risk Signals
The risk statement should be fully specified meaning all components of the risk (hazards, physical setting, exposure, vulnerability) have been entered. The user selects ‘execute risk statement’ and the tool performs the risk estimation steps based on the options selected during the risk statement build. What is returned should be a series of risk signals aggregated by study area extent, planning reach, and hazard source interface polyline.
Risk Signals
SCT risk signals are the results generated by an executed risk statement. The signals are provided as geospatial visualizations and/or infographics to be used to inform study scoping decisions and reporting.
Floodplain Visualization Risk Signals
The floodplain risk signal displays geospatial visualizations on the depth and extent of flooding as well as the exposure impacted per selected AEF event. Exposure Items impacted include the number of NSI assets, PAR, NSI assets per EJ community, and critical infrastructure. The user selects the AEF frequencies to be used in the floodplain visualization in section x when building the risk statement. Selecting and deselecting the floodplain in sequence between high AEF event and low AEF event should provide insight into the flood pattern. The impacted exposure displayed will be the that of the lowest frequency (most severe event).
This risk signal should help users inform decisions on potential measure performance needs given the resources at risk at key AEF events.
Table 7: Floodplain Visualization Risk Signals
Signal | Risk Metric | Signal Channel | Signal Description |
Floodplain Visualization Risk Signals | Flood Extent & Depth / Per Selected AEF Event | Geospatial Visualization | Floodplain visualization gradient with color corresponding to flood depth and legend |
# NSI Assets Impacted / Per Selected AEF Event | Infographics | Min & Max | |
PAR Per Selected AEF Event | Infographics | Min & Max | |
# NSI Assets in EJ Communities Impacted / per Selected AEF Event | Infographics | Min & Max | |
# Critical Infrastructure Assets Impacted/ Per Selected AEF Event | Infographics | Min & Max |
NED Risk Signals
Table 8: NED Risk Signals
Signal | Risk Metric | Signal Channel | Signal Description |
NED Risk Signals | Expected Annual Damages (EAD) | Geospatial Visualization | Heat map |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot; all within user-specified aggregation schemes based on available data heirarchies | ||
Consequences /AEF | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
Life Loss Risk Signal
Table 9: Life Loss Risk Signal
Signal | Risk Metric | Signal Channel | Signal Description |
Life Loss Risk Signal | Lives Lost/ Year (AALL) | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
EJ / Economically Disadvantaged Community Risk Signals
Table 10: E.J. Community Risk Signal
Signal | Risk Metric | Signal Channel | Signal Description |
EJ / Economically Disadvantaged Community Risk Signals | % EAD in EJ Community | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
% AALL in EJ Community | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
Critical Infrastructure Risk Signal
Table 11: Critical Infrastructure Risk Signal(s)
Signal | Risk Metric | Signal Channel | Signal Description |
Critical Infrastructure Risk Signal | T.B.D. | Geospatial Visualization | |
Infographics |
Erosion & Wave Attack Risk Signal
Table 12: Erosion & Wave Attack Risk Signal(s)
Signal | Risk Metric | Signal Channel | Signal Description |
Erosion & Wave Attack Risk Signals | # Assets Subject to Erosion & Wave Attack | Geospatial Visualization | Heat map or point shape features showing assets potentially at risk |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | ||
Exposed Value of Assets subject to Erosion & Wave Attack | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | |
Wave Height | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
Multidimensional Flood Risk Signals
Table 13: Multidimensional Flood Risk Signal(s)
Signal | Risk Metric | Signal Channel | Signal Description |
| Flood source contributions from StormSim | Infographics | Table and Histogram of total flood volume (Q) by AEF for each flood source |
Flood elevations versus HSI | Infographics | Plot HSI elevations versus CHS SWL AEF elevations for each save point over applicable savepoint distance | |
Multidimensional Flood Risk Signals | % of overlapping risk within planning reach from multiple HSIPs | Geospatial Visualization | Heat map with distinct color gradient showing overlapping risk (EAD) |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | ||
Adjusted EAD per HSIP | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
Table 14: SCT Risk Signal Summary
Signal | Risk Metric | Signal Channel | Signal Description |
Floodplain Visualization Risk Signals | Flood Extent & Depth / Per Selected AEF Event | Geospatial Visualization | Floodplain visualization gradient with color corresponding to flood depth and legend |
# NSI Assets Impacted / Per Selected AEF Event | Infographics | Min & Max | |
PAR Per Selected AEF Event | Infographics | Min & Max | |
# NSI Assets in EJ Communities Impacted / per Selected AEF Event | Infographics | Min & Max | |
# Critical Infrastructure Assets Impacted/ Per Selected AEF Event | Infographics | Min & Max | |
NED Risk Signals | Expected Annual Damages (EAD) | Geospatial Visualization | Heat map? |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | ||
Consequences /AEF | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | |
Life Loss Risk Signal | Lives Lost/ Year (AALL) | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
EJ / Economically Disadvantaged Community Risk Signals | % EAD in EJ Community | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
% AALL in EJ Community | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | |
Critical Infrastructure Risk Signal | T.B.D. | Geospatial Visualization | |
Infographics | |||
Erosion & Wave Attack Risk Signals | # Assets Subject to Erosion & Wave Attack | Geospatial Visualization | Heat map or point shape features showing assets potentially at risk |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | ||
Exposed Value of Assets subject to Erosion & Wave Attack | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | |
Wave Height | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | |
Multidimensional Flood Risk Signals | % of overlapping risk within planning reach from multiple HSIPs | Geospatial Visualization | Heat map with distinct color gradient showing overlapping risk (EAD) |
Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot | ||
Adjusted EAD per HSIP | Infographics | Mean, Range, Quartile, Histogram, Box & Whisker Plot |
- NED risk signal (Estimate Consequences & EAD) – Users should be able to view consequence and risk value ranges within each planning reach
- Life Loss Signal – (T.B.D.)
- EJ Risk Signal – Users should be able to view the proportion of EAD and Life loss risk to EJ Communities within each planning reach
- Critical Infrastructure Risk Signal – A report of risk to the exposed critical infrastructure within each planning reach. (Unit of account t.b.d.)
- Erosion & Wave Attack Signals – A report on the number and exposed value of assets potentially at risk from erosion and wave attack.
- Multi-dimensional flood risk signal – This should be a report of the extent/ degree of risk sourced from multiple HSIPs (The exact structure and method of reporting t.b.d.)
- Flood Risk Visualization Analysis –.
Decision Point: Decide FWOP Scoping Risk
Based on the signal report the PDT should be able to make decisions w.r.t the risk identification. The PDT should decide whether the risk identification step needs more work, or are the ready to move to alternative development. Considerations include the following:
- Are the risks identified appropriate given the study authority?
- Is the study spatial delineation properly organized? Are the boundary conditions appropriate? Are planning reach delineations and hazard source interface polylines reasonably representative of the risk?
- Are the risk signal quantifications appropriate and reasonable for a scoping level of effort? Are all metrics needed to characterize the risk for scoping purposes identified?
- Are all multidimensional risks identified? Are flood extent visualizations reasonable and appropriate?