{'fraction_non_alphanumeric': 0.020729190552625544, 'fraction_numerical': 0.012520064205457464, 'mean_word_length': 4.959551790106587, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
DEVELOPMENT OF A FLOOD RISK ASSESSMENT MODEL FOR A BRAIDED RIVER SYSTEM

The aim of this study is to construct a modeling system that will assist flood risk management strategies in a coastal plain braided river system. The model configuration consists of a hydrodynamic model (ADCIRC) of the river basin that receives tidal forcing at the open boundary and river discharge forcing at upstream flux boundary. An unstructured mesh model resolving the Pearl River channels at higher resolution from the coastline to approximately 75km inland to upstream reaches of the river has been constructed. The modeling system produces water levels and currents throughout the Lower Pearl River Basin. Initial sensitivity analysis efforts on the channel model include consideration of low-flow, average-flow, and high-flow scenarios. Model results were found to be slightly sensitive to slope of river channels and bottom friction to control stability in predictions. The model results were shown to be highly sensitive to the bathymetry of the model that controls the discharge capacity of the narrow river channels and the channel model resulted in elevated currents and water levels under high flow conditions. A channel discharge capacity analysis was conducted and the results showed the need to construct a floodplain mesh around the channel model with more realistic bathymetry and topography so that the flooding scenarios could be modeled with wetting and drying capability of ADCIRC. An initial attempt to develop such a floodplain mesh has been made with preliminary results and more comprehensive validation of the developed floodplain modeling system will extend to reproducing events associated with the historical Hurricane Isaac that impacted the region in 2012. This modeling system will provide an important tool to decision makers that could be used in future flood risk management and mitigation efforts.


INTRODUCTION
The Lower Mississippi River Forecast Center (LMRFC) is one of 13 NOAA National Weather Service (NWS) centers in the United States that makes decisions on flood risk management control strategies and that is responsible for warning local authorities and emergency managers before and during flood events. LMRFC covers the watersheds that flow into the Gulf of Mexico on the Louisiana and Mississippi coastlines, including the Pearl River basin (Figure 1). Presently, the historic hydrographs used by NOAA-NWS LMRFC to predict flood conditions in the Lower Pearl River Basin, particularly south of Interstate-10, have been unreliable, and no numerical hydrodynamic model forecast capability currently exists. To address this capability gap, federal and local government partners came together with research partners to address needs and interests in regards to flood risk management and mitigation with an objective to develop a modeling system that simulates existing conditions in the Lower Pearl River Basin for water levels and currents. This model will serve as a tool for analyses of past major events as well as a capability for predicting future events that will enable improved warning and management strategies.

STUDY AREA
The study area focuses on the Lower Pearl River basin in southern Mississippi and southeastern Louisiana, covering approximately 75km inland from the coastline. The Pearl River is examined starting just south of Bogalousa, LA where it splits into two distinct channels forming the East and West branches of the Pearl; both of which flow into Lake Borgne, continue into the Mississippi Sound and eventually flow into the Gulf of Mexico (Figure 1). The West Pearl river discharges into Lake Borgne and the Rigolets (the narrow passage connecting Lake Borgne to Lake Ponchartrain shown in Fig. 1(d) ) in Louisiana while the East Pearl river forms the political boundary between the states of Louisiana and Mississippi and flows directly into the Mississippi Sound. Both channels have strong tidal influence especially during low river discharge conditions and regularly flood and drain the intertidal marshes near the river mouth .
Historically, the West Pearl had higher flows at the split (NASA, 2001), but, the East Pearl is much wider in its lowest reaches. In comparing LANDSAT imagery from 1986 to that from 2010, in-situ depth measurements taken by St. Tammany Parish in 2014-2015, and other anecdotal evidence suggest that flow on the West Pearl is diminishing, especially below Interstate-10 (I-10). Given these changes observed within the Lower Pearl River Basin and the lack of reliable forecast capability for flood risk management, the aim is to develop a numerical modeling system that will resolve details of the flow in this braided river system in order to be able to make realistic predictions towards flood risk assessment.

MODELING SYSTEM
In this study, the Advanced Circulation Model (ADCIRC) was used as the hydrodynamic modeling system. ADCIRC uses the finite-element method to solve the depth-integrated shallow water wave equations (Luettich et al. 1992, Luettich andWesterink, 2004). ADCIRC has been extensively used for storm surge predictions in coastal areas, estuarine and coastal circulation and also recently for riverine modeling (e.g., Blain et al. 2012). The unstructured mesh of ADCIRC provides the high resolution needed to be able to resolve the complex and meandering narrow channels of the Pearl River especially in the Lower Pearl River Basin as well as the complex coastline in coastal Louisiana and Mississippi. The model, subject to tidal variations at the mouth and upstream discharge, produces water levels, i.e. elevation, and currents, i.e. river flow velocity. The tidal forcing is provided using information from six harmonic constituents extracted from the FES99 tidal database (Lefevre et al., 2002) and applied at the open water boundary in Lake Borgne in the eastern end of the Mississippi Sound. A river flux is prescribed at the far north upstream boundary. The bottom friction is captured by a nonlinear, quadratic formulation. The wetting and drying capability of ADCIRC will allow for channel overflow into the floodplain in future work.

Development of a River Channel Model
The unstructured mesh of ADCIRC is constructed using a pre-generated boundary coastline and bathymetric information (McKay and Blain, 2010). Due to lack of accurate field surveys that define all channel banks for the wide study area, aerial remote sensing imagery was used to identify the river channels in areas where no information is available (McKay and Blain, 2014). LA 1m resolution aerial IR Digital Orthoimagery quarter quadrangle (DOQQ) tiles from LSU LIDAR imagery Atlas were used as the data source to extract river edge and water locations (National Mapping Program, 1996). This data was processed to get river shoreline coordinates . At first water and land pixels of imagery were separated based on a hue selection criterion (Tanaka, 2006). This procedure was followed by the detection of water edges using a Laplace edge finding filter technique (Russ, 2002). The resulting mesh for the river channel network was also cross-checked to recently derived land/water mask from unmanned aerial system (UAS) imagery taken in December, 2014 by Mississippi State University (Moorhead, 2014). Figure 2 shows excellent agreement between sections of the meshed West, Mid, Middle and East Pearl river channels as compared to the land/water mask derived from UAS imagery.

Figure 2 -(a)&(b) West Pearl River channel mesh developed from earlier satellite-based remote sensing imagery compared to (c)&(d) a recent (December 2014, Mississippi State University) land/water mask derived from UAS imagery of the West Pearl River and its surrounding floodplain in Louisiana.
The lack of bathymetry measurements in the West Pearl River precipitated the application of a synthetic bathymetry based on a cubic relationship between the channel width and depth (Equation 1): The river channel mesh has 139K nodes and 219K elements with resolution as high as 4m in the narrowest channels of the basin and as low as 250m in open waters near the open boundary. Figure 3 shows the river channel mesh in perspective to four nearby NWS discharge stations at Bogalousa (BXAL1), Bogue Chitto (BSHL1), East Hobolochitto (MNLM6) and West Hobolochitto (CREM6). Depicted in the inset are the West, Mid-, Middle-and East Pearl river channels represented with high resolution in the constructed mesh. For the river channel mesh in Figure 3, applied discharge at the northern most boundary will be derived from conditions at Bogalousa, LA.

RESULTS AND DISCUSSION
Model simulations for the presented analyses extend for 14 days with the first 4 days used to gradually ramp up the external tidal and riverine forcing. Initial simulation sets applied constant streamflow at the open boundary for representative high, average and low flow conditions for the Pearl River (40,000, 10,000 and 3,000 cfs ). At low flow conditions, simulated water levels and currents appeared reasonable while water levels and currents predicted in river channels started to rise to uncharacteristically high values for the average flow case. Extremely high water levels and unrealistically high currents were predicted for high flow conditions.

Sensitivity Analyses
A series of sensitivity analyses was conducted to understand the sources of error in high discharge scenarios. The sensitivity analyses included considerations of friction coefficient, water depth and channel slope. The sensitivity to friction coefficient was evident especially for currents but all modeled results were realistic within a C f range from 0.0001 to 0.020 as shown in Figure 4 for downstream sections in West Pearl and Middle Pearl. Results in East Pearl are not shown because the differences for velocities and water levels were smaller in the downstream East Pearl section selected for comparison. Water levels in lower reaches of the basin were insensitive to different friction coefficients within that range while currents exhibited higher sensitivity. It may be seen that the velocities for friction coefficients higher than 0.010 were much smaller than those with friction coefficient values lower than 0.003. Considering the friction coefficients used for earlier studies in the region, further model simulations were conducted using a friction coefficient value of 0.001.

-Modeled current and water level results using different friction coefficients for (a) Velocity(current) and (b) Elevation(water level) on the West Pearl; (c) Velocity and (d) Elevation on the Middle Pearl.
After the river channel depths were determined as described in the previous section, a realistic channel bathymetry was constructed by tilting the mesh from the coastline to upstream locations using a representative constant slope for the entire domain. A constant and representative channel slope of -3.3832E-04 was calculated and used for all the channels within the Pearl River channel model. In reality, certain parts of the river have steeper slopes while other sections have milder slopes based on the real topography. In fact, the slopes at the downstream reaches of the basin were found to be milder than the constant slope used. Figure 5 shows the variation of the channel slopes calculated for different segments of the river from upstream boundary to the coastline based on the topography values provided in the SL16 mesh. It was found that the upstream segments (segments 1,2,3,10,11) has the steepest slope while most of the West Pearl (segments 5 thru 9) and the downstream section of the East Pearl (segment 14) has milder slopes while mid-East Pearl river (segment 12) has the initial slope used for tilting the mesh for a more representative bathymetry. (d) Figure 6 shows the computed velocity and elevation variations for the high flow scenario subject to a constant friction coefficient, C f = 0.001, at two different constant channel depths, 10m and 15m. The results are shown for downstream locations on the Pearl River with a location on the West Pearl at 30.3N and on the East Pearl farther downstream at 30.2N. From Figure 6, the water level and velocity means increase during the first 4 days of the simulation when the forcing is ramped up. After Day 4, the water levels and velocities vacillate around this mean value due to tidal fluctuations for water depths equal 15 m. The mean velocity of 0.35 m/s on the West Pearl is higher than that on the East Pearl with values of 0.1 m/s, while the ranges of velocity and water level are similar in both channels. When water depths are 10m, the velocity and water levels in the West Pearl do not reach a steady state after the ramp period. Rather they continue to increase even at Day 8 of the simulation time period. For this case, the velocity range on the East Pearl is higher (0.2 m/s) than that of the West Pearl. The water level on East Pearl was not affected by the bathymetry change at this downstream location. These results indicate that there is a critical depth between 10m and 15m at which model stability is disturbed. Figure 7 shows the impact of channel depth and channel slope on model predictions at 30.45N on both the West Pearl and East Pearl river main branches. Once again velocities and elevations (water levels) within both main branches of the Pearl River reach a steady mean with fluctuations around that mean for constant 15m water depth (black lines). In contrast, water level and velocities at the midlatitude locations on both the West and East Pearl continuously increase for the first 8 days of the (a) (c)

Figure 7 -Modeled currents and water levels using different constant channel water depths (15m vs. 10m) and different slopes (original slope vs. milder slope) for (a) Velocity and (b) Elevation at the West Pearl; (c) Velocity and (d) Elevation at the East Pearl.
simulation when the water depth is set at a constant 10m (green lines). When a milder constant channel slope is applied to the constant 10m depth case, the water levels and velocities stabilize. This is likely because using milder slopes in lower reaches of the basin resulted in a decrease in velocities which did not exceed the capacity of the river channels. These results show the importance of accurate channel bathymetry and topography for realistic predictions of water level and velocity in river channels. Results indicate that the largest sensitivity of water levels and currents in the West and East Pearl river is to channel depth with lower sensitivity to channel slope. Both depth and slope factors in the river capacity which, in turn, is directly related to the ability of the river to contain upstream discharges within the river channels.

Capacity Analyses
We have conducted an analysis on the capacity of the channels to better understand the development of instabilities during average and high flow conditions. This analysis has been conducted on both West Pearl and East Pearl river channels since increased velocities were observed on both main stems of the Pearl River. The maximum channel discharge capacity has been calculated based on Manning's equation: in which a constant roughness coefficient of 0.22 and a representative constant average slope from upstream boundary to the coastline was used.
The channel area was computed by integrating the synthetic bathymetry profile over the channel width for all channel boundary nodes. Figure 8(a) shows the discharge capacity of the Pearl River channels from the upstream boundary towards the coastline, Figure 8(b) and 8(c) show the variation of West Pearl and East Pearl River discharge capacity vs. latitude, respectively. The West Pearl capacity is higher than the average flow discharge of 10,000 cfs (Avg. line in Figure 8) while the East Pearl capacity is lower at the same latitudes for the upstream reaches of the river. On the other hand, the East Pearl is wider and can carry more river flux at the downstream reaches, south of 30.3N. Multiple choke points with discharge capacity of the river less than the average flow are observed for average flow conditions for both main river channels. In fact, the river discharge capacity is less than the high flow conditions in modeled stretches of both the West Pearl and East Pearl rivers. Such choke points are indicative that overbank flows must occur at these locations, sending water from the channels into the floodplain under both high upstream discharge and at times low upstream discharge conditions.

Floodplain Model Development
The simulations and analysis with the river channel model has shown a need to expand the model to cover the floodplain of the Lower Pearl River Basin so that high flux which leads to overbank flows and flooding scenarios can be successfully simulated. The high resolution river channel model is expanded by incorporating it into a larger domain ADCIRC mesh of US East Coast (SL16 mesh) used in prior studies for hurricane modeling (Dietrich et al., 2011). A multistep manual mesh development process was followed to accomplish this task using the meshing tool, MeshGUI (Blain et al., 2008). First, the area covered by the river channel model was cut from the large domain model as shown in Figure 9(a). Then, the channel model was inserted into the voided area as shown in Figure 9(b). The resolution at the channel banks are higher than the surrounding floodplain resolution, therefore a gap was left between the channel mesh and the surrounding floodplain. This gap between the channel mesh river banks and the boundary of the larger domain mesh surrounding the channels was carefully meshed to allow for a smooth transition in element size. A segmented approach was followed due to the meandering nature of the river channels. The voided gaps were carefully meshed segment by segment from the upstream boundary of the mesh to coastline downstream (Figure 9(c)). The final product results in a single continuous floodplain mesh for the Lower Pearl River basin that contains the highly resolved Pearl River channels as shown in Figure 9(d).  (Lefevre et al., 2002) is applied. Figure 10  Model bathymetry and slope are realistically captured as shown in Figure 11, based on the topographic values of the SL16 mesh used for Hurricane Gustav (2008) simulations in the area (Dietrich et al., 2011). The river forcing was applied at specified flux boundaries where upstream discharge values from the main tributaries of the basin are provided by forecast hydrographs. At this time only discharge from the Bogalousa, LA station was active.

Floodplain Model Testing
Water levels from an initial test of the new floodplain model for a low-flow scenario are shown in Figure 12. Tidal constituents were applied along the arc-shaped open boundary in the southeastern corner of the domain forcing tidal fluctuations into the domain. The tides will travel via the Rigolets channel, connecting Lake Ponchartrain and Lake Borgne. Tidal levels may be seen traveling into Lake Ponchartrain via the Rigolets in Figure 12. The tides will also travel upstream into all of the Pearl River channels. This preliminary result indicates river flow coming downstream while remaining within the river channels due to flux initiated at the upstream boundary. No flooding from the upstream fiver flux is observed as expected. An area along the northeastern shore of Lake Ponchartrain that was initially dry, wetted during this simulation demonstrating the functionality of the wetting/drying mechanism within the modeling system. This mesh will be finalized to conduct hindcast simulations of Hurricane Isaac as well as other large precipitation/discharge events. Additionally, smaller channels for the Bogue Chitto and Hobolo Chitto creeks will be added and connected to the main Pearl River stems. These creeks will extend to hand-off locations near the NOAA NWS gage locations for these creeks.

SUMMARY AND CONCLUSION
This study has shown the capability of Advanced Circulation Model, ADCIRC, in simulating riverine flow of a complex, braided river system, the Pearl River in the Lower Pearl River Basin. A developed channel mesh resolves the main West Pearl and East Pearl river channels as well as the highly complex mid-, middle-Pearl channels at O(m) resolution. A series of sensitivity analyses indicated that model stability is assured for low flow and typically maintained for average river flow conditions. Unrealistically elevated water levels and currents occurred during a high river flow case. Channel depth was found to be the most sensitive river parameter when considering depth, bottom friction and slope. An examination of river capacity revealed that at high flow, and at times, average flow conditions the capacity of the river to transmit high flow events was exceeded and that such fluxes would likely result in overbank flow at identified choke points. This exceedance of the river capacity at high flow demonstrated the need for developing a river model that includes the floodplain surrounding the river channels. Subsequently, the details of constructing a floodplain model with high resolution in the channels connected seamlessly to the surrounding floodplain are presented. Preliminary results for low flow conditions using this floodplain mesh of the Lower Pearl River Basin are presented. This floodplain model is currently under final development and testing phases so that Hurricane Isaac hindcast simulations may be conducted to simulate the Pearl River flooding in southeastern Louisiana and Mississippi. The developed model with a realistic representation of the Pearl River will provide an important prediction tool to decision makers for better preparation, protection and mitigation for future flooding events in the study area.