The document discusses analyzing restoration sites in the Kennebecasis watershed for their susceptibility to flood damage. It describes the Kennebecasis Watershed Restoration Committee, which aims to restore the watershed. Various data factors are considered to assess flood susceptibility, including soil, land use, and satellite imagery. Methods used include delineating sub-watersheds and river buffers. Next steps include further site visits, finalizing the analysis method, and incorporating existing site data.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
Two Dimensional Flood Inundation Modelling In Urban Area Using WMS, HEC-RAS a...Amro Elfeki
This research presents a two-dimensional flood inundation modelling in urbanized areas when some features such as roads, buildings, and fences have great effect on flood propagation. Wadi Qows located in Jeddah City, Saudi Arabia was chosen as case study area because of the flood occurrence of 2009 causing lots of losses either economic or loss of life. The WMS and HEC-RAS program were used for a hydraulic simulation based on channel geometry built by incorporating urban features into DEM using GIS effectively. A resampling method of DEM 90 × 90 m become 10 × 10 m grid cell sizes was conducted to produce a higher resolution DEM suitable for urban flood inundation modelling. The results show that a higher resolution leads to increasing the average flood depth and decreasing the flood extent. Although the change of the grid cell sizes does not affect its elevation values, this approach is helpful to perform flood simulations in urban areas when high resolution DEM availability is limited. In addition, the integration of WMS, HEC-RAS and GIS are powerful tools for flood modelling in rural, mountainous and urban areas.
https://www.researchgate.net/publication/330004725_Two_Dimensional_Flood_Inundation_Modelling_in_Urban_Areas_Using_WMS_HEC-RAS_and_GIS_Case_Study_in_Jeddah_City_Saudi_Arabia_IEREK_Interdisciplinary_Series_for_Sustainable_Development
DSD-INT 2018 Groundwater modelling in Colombia - Galvis FanecaDeltares
Presentation by Marta Faneca Sanchez and Sandra Galvis Rodriquez (Deltares) at the iMOD International User Day 2018, during Delft Software Days - Edition 2018. Tuesday 13 November 2018, Delft.
Quick tutorial of how to conduct a bridge scour computation within HECRAS. Characteristics of stream stability fundamentals are also discussed. Abutment, pier, and contraction methodologies from HEC 18 are summarized. Tips to avoid common mistakes are provided. Helpful data sources to assist design are suggested.
Upstream Suburban Philadelphia Sub-Watershed Cluster Modeling OverviewKim Beidler
Upstream Suburban Philadelphia Sub-Watershed Cluster Modeling Overview by Jeffrey Featherstone, Ph.D., Director, Center for Sustainable Communities, Temple University
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
Flood Mapping via HEC-RAS Model and ArcGISLengthong KIM
This research was taken place along the lower Mekong river reach part in Cambodia. The purpose of the study is to evaluate the HEC-RAS performance whether it eligible for Cambodia flood studies or not.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
Two Dimensional Flood Inundation Modelling In Urban Area Using WMS, HEC-RAS a...Amro Elfeki
This research presents a two-dimensional flood inundation modelling in urbanized areas when some features such as roads, buildings, and fences have great effect on flood propagation. Wadi Qows located in Jeddah City, Saudi Arabia was chosen as case study area because of the flood occurrence of 2009 causing lots of losses either economic or loss of life. The WMS and HEC-RAS program were used for a hydraulic simulation based on channel geometry built by incorporating urban features into DEM using GIS effectively. A resampling method of DEM 90 × 90 m become 10 × 10 m grid cell sizes was conducted to produce a higher resolution DEM suitable for urban flood inundation modelling. The results show that a higher resolution leads to increasing the average flood depth and decreasing the flood extent. Although the change of the grid cell sizes does not affect its elevation values, this approach is helpful to perform flood simulations in urban areas when high resolution DEM availability is limited. In addition, the integration of WMS, HEC-RAS and GIS are powerful tools for flood modelling in rural, mountainous and urban areas.
https://www.researchgate.net/publication/330004725_Two_Dimensional_Flood_Inundation_Modelling_in_Urban_Areas_Using_WMS_HEC-RAS_and_GIS_Case_Study_in_Jeddah_City_Saudi_Arabia_IEREK_Interdisciplinary_Series_for_Sustainable_Development
DSD-INT 2018 Groundwater modelling in Colombia - Galvis FanecaDeltares
Presentation by Marta Faneca Sanchez and Sandra Galvis Rodriquez (Deltares) at the iMOD International User Day 2018, during Delft Software Days - Edition 2018. Tuesday 13 November 2018, Delft.
Quick tutorial of how to conduct a bridge scour computation within HECRAS. Characteristics of stream stability fundamentals are also discussed. Abutment, pier, and contraction methodologies from HEC 18 are summarized. Tips to avoid common mistakes are provided. Helpful data sources to assist design are suggested.
Upstream Suburban Philadelphia Sub-Watershed Cluster Modeling OverviewKim Beidler
Upstream Suburban Philadelphia Sub-Watershed Cluster Modeling Overview by Jeffrey Featherstone, Ph.D., Director, Center for Sustainable Communities, Temple University
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
Flood Mapping via HEC-RAS Model and ArcGISLengthong KIM
This research was taken place along the lower Mekong river reach part in Cambodia. The purpose of the study is to evaluate the HEC-RAS performance whether it eligible for Cambodia flood studies or not.
Evaluating Urban Renewal in India: What questions to ask of the JNNURMAnupam Saraph
What should be the basis for evaluating urban renewal in India? The Jawaharlal Nehru National Urban Renewal Mission (JNNURM) has been "renewing" urban India. What should be the questions to evaluate its success at renewal?
Summary of a presentation to the School of Habitat Studies,
Tata Institute of Social Sciences and Parisar at Yashada.
I came to know regarding this competition from rediff.com
Salient features of a well-designed inclusive Neighbourhood (Colony) for the urban poor is characterized by a well conceptualized effort at social cohesion:
I. Housing Unit and Layouts of Cluster Housing
II. Neighbourhood Colony Layouts
III. Basic Physical Infrastructure (Water Supply, Sanitation, Drainage, Roads, Street Lighting, Solid
Waste Management, etc.)
IV. Cohesive Social Infrastructure (Community Centre, Informal Sector Market, Livelihood Centre,
etc.)
EarthFx presentation on Assessing Cumulative Effects of SAGD Operations in the Mackay Watershed PowerPoint
To learn more visit us at http://www.earthfx.com/
Slide 33 video link https://www.youtube.com/watch?v=q95Zzt029E4
Slide 35 video link https://www.youtube.com/watch?v=v6siBetQgBI
Presented by Charlotte MacAlister, Birhanu Zemadim, Teklu Erkossa, Amare Haileslassie, Dan Fuka, Tammo Steenhuis, Solomon Seyoum, Holger Hoff, Kinde Getnet, and Nancy Johnson to the Nile Basin Development ChallengeScience and Reflection Workshop, Addis Ababa, 4-6 May 2011
Hec ras flood modeling little river newburyportWilliam Mullen
This narrated PowerPoint presentation describes a HEC-RAS 2-D unsteady-flow flood model set up for the tidally-influenced Little River in Newburyport and Newbury, Massachusetts. It describes the steps in developing inputs to the HEC-RAS model including using HEC-HMS rainfall-runoff modeling and GIS in developing inputs to HEC-HMS. The HEC-RAS model was calibrated using the Mother's Day flood of May 2006. The HEC-RAS model may be used to evaluate impacts associated with proposed changes in culvert sizes or changing embankment elevations near or at problem flood areas and can also be used to determine the changes in river hydraulics associated with sea level rise and climate change.
Modeling the Effects of Sea Level Rise on Coastal Wetlands
Marc Carullo, GIS/Environmental Analyst, Massachusetts Office of Coastal Zone Management (CZM)
Environmental Management Modeling Activities at Los Alamos National Laborator...Velimir (monty) Vesselinov
esselinov, V.V., et al., Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL), Department of Energy Technical Exchange Meeting, Performance Assessment Community of Practice, Hanford, April 13-14, 2010.
Using HEC-RAS to assess flash floods risk in arid regionsAhmed Saleh, Ph.D
Explain the utilization of HEC-RAS to two-dimensional simulation of flood wave propagation. also, show the application of ArcGis to draw flood risk maps.
Numerical modeling in support of the characterization and remediation of impacted sediments can be a challenging task, particularly in environments where multiple physical processes influence sediment fate and transport. The interaction of various controls is particularly complex in estuarine settings, where riverine input, water levels, waves, and other coastal processes combine to create a seasonally dynamic environment. Modeling of such environments requires a comprehensive and integrated approach such that the effects of each process can be assessed individually, as these processes can be allowed to interact to reproduce the natural environment as faithfully as possible
Approach and Activities
This contribution describes the development and calibration of an integrated Delft3D numerical model that includes flow, sediment transport, wave processes, and vegetation. The model boundary conditions are based on data collected during a comprehensive field program. Field data were also used to calibrate various model input parameters (such as bed and vegetation roughness). The model was used to understand erosion and deposition during both low and high flow regimes, and thus to aid in understanding important controls on sedimentary dynamics during these predominant regimes.
Results and Lessons Learned
The integrated numerical model predictions capture important sedimentation, erosion, velocity, and water level patterns. Model predictions indicate that during periods of low riverine input, velocity patterns and sediment transport associated with periodic water level changes dominate. During riverine flood conditions flow and sedimentation patterns are controlled by the river itself. Integrated modeling of this setting, including calibration to field data provides a valuable tool for assessment of future conditions, and thus for remediating impacted sediments.
This presentation shows the main software used for numerically simulate the flood movement. first, it presents the HEC-RAS, then it discusses the Surface-water Modeling System (SMS), its interface, main components, DATA REQUIREMENTS and main steps to build a model using SMS.
The Processing of the 1920's Survey Sheets of the City of Saint John, NB for ...COGS Presentations
Back in the 1920s, Mr. Murdoch and his crew surveyed the entire city of Saint John with great precision. The original sheets were scanned, which were black and white, and were made available on the Saint John open source website. Unfortunately these were not registered and individual sheets. These survey sheets would be very useful for City employees and interesting for the public.
After georeferencing each sheet to its correct location and scale, they were reference to the city property lines, with the help of ortho photos and city streets. Then each sheet was cropped to remove the border and surrounding text, using the Image Analysis window clip tool, and added to a mosaic dataset. The areas of overlap were clipped in the same way so that the areas of more detail was visible. This dataset was the input for the Copy Raster tool, which created one tiff file for all the sheets in 1 bit. The final mosaic was cleaned with the Raster Painting Tool to remove any redundant street names. This cleaned mosaic would then be uploaded to the online interactive City of Saint John Map as a layer for the public to see.
In conjunction with City of Saint John.
This project examines the rate of erosion in Little Harbour, on the south-east coast of the Northumberland Strait. Coastlines were digitized using a series of airphoto mosaics from the 1970s to the present. The rate of change between digitized lines is measured using a script developed at the AGRG. Attributes are added to the data, classifying it by landform, waterbody, and angle. Results are examined to determine the overall rate of erosion, as well as to determine areas of increased vulnerability.
The 2016 Remote Sensing Field camp will take the form of two projects.
A low tech, low cost aerial photography project using visible spectrum UAV/Ultralight Aircraft mounted cameras as the sensor to demonstrate that relatively low tech, low cost solutions can achieve surprisingly good results when compared to more commercial systems.
A more high tech, high cost terrestrial LiDAR collect of a building or structure of historical or architectural significance.
The scope of a project will influence all other aspects of the project, including its cost, timing, quality and risk.
19. WHAT’S NEXT
Visit client in person
Decide symbology for KML files
Tweak any issues with the sub-watershed outlines
Apply the Delphi Method to rank and weight the factors
Perform the site selection and assess the results
Incorporate existing site data in to database
The KWRC is a non-for profit restoration group operating in Sussex, New Brunswick since 1994
They work with a large group of partners including Sussex Fish and Game Association, various branches within the Government of New Brunswick, the various towns in their watershed, Natural Resources Canada, Fundy Model Forest to name a few.
The KWRC work year round to improve the health of the Kennebecasis river watershed. Their work focuses on three primary categories:
Restoration of river banks and the riparian zone
Monitoring and assessing the river at specific sites year after year. As well as assessing the conditions of roads and culverts.
In addition they also focus on community involvement and education.
Recently their primary focus has been river bank stabilization and increasing the strength of the riparian zone. The present locations of concern are where clear-cutting or farm land extends right up to the edge of the river or creek. These areas are weakened by the removal of vegetation and are susceptible to major changes during flooding events.
Currently they do not use GIS software but are looking to make this change in the future
The concept behind the flood susceptibility is to find the areas within a certain distance (a buffer) of the river that could be prone to damage from flooding based on several main factors.
The main factors currently include:
Change detection within riparian zone buffer
Vegetation type
Soil type
Land use
In order to select a restoration site there needs to be further understanding of its composition. Factors such as soil, vegetation, and land use can help to assess the cause and scale of the damage after a flooding event. It is important to determine whether the changes are caused by human impact or are natural changes that occurred before.
Once a site is selected understanding of these factors will also affect what restoration methods may be selected.
This is an example of an existing restoration site. This site is on agricultural land where the majority of shrubs and trees had been removed near the river. During a flood the channel blew out and never fully returned back to the oringial channel. This not only frustrated the farmer but also made the river shallower and warmer, creating a less hospitable habitat for fish. Replanting the vegetation has made the river more stable and reduced the temperature.
Currently the KWRC looks after an area of approximately 1346 square kilometres, with this addition of the newest sub-watershed Hammond’s Plains, they will now cover an area of 2147 square kilometres.
Three of the sub-watersheds, or secondary watersheds, are fed by the main source, the Kennebecasis River.
The other three secondary watersheds are fed by secondary rivers, Millstream River, Trout Creek, and Smiths Creek.
The main watershed was created using the hydrology toolset in ArcMap. Initially sinks needed to filled to level out any extreme drop offs. Flow direction and accumulation tools when then run on the DEM, this helps to identify where the limits of the watersheds. At that point the Watershed tool can be run and the output something similar to the image above. At this point, Mark Hebert mentioned that the province may have some of this data already so I found a layer from the province of New Brunswick with watersheds and conveniently there was the Kennebecasis watershed. I compared the two and sent a KML to my client who confirmed that the extent appeared to be as he expected.
Then to create the sub-watersheds I used pour-points in to subdivide the primary watershed. This wasn’t fool proof, the three sub-watersheds that are fed by secondary rivers were easier to outline. It didn’t work as well for the other three. The client did however have a jpeg map of the sub-watersheds, so I georeferenced that to the primary watershed, it didn’t line up exactly, but that help guide any small corrections to the output. The newest sub-watershed was easy to outline as it was the remainder of the primary watershed.
For restoration site analysis I need to create an area of interest around the rivers and creeks. Generally the KWRC would ideally like to have a 30 m riparian zone buffer, but in this case I created both 30 m and 60 m. This is for a couple reasons. The first is to get more data in the analysis of the sites and the second if because of the format of the data.
The hydrology layers from the province come in both polygon and polyline files. The polygons represent the true area of the larger rivers and lakes, whereas the polyline features do not. Above is an example. The features that are only represented by polyline are generally not very wide (possibly 1 to 5m, maybe a little wider) therefore if the desired area is 30 m, having a 60m buffer allows room for error.
Another issue is that the buffers should ultimately be one feature to simplify the process and the rivers are represented by many features, as seen above. So once the buffer is made, I merged them into one singlepart feature as opposed to multipart.
This is the results of the polygon buffers.
This is the results of the polygon and polyline buffers merged together. You can see here the polyline feature for the Kennebecasis river would not have sufficed for a true 60 m buffer since the river at this point can be over 2 km wide.
This shows a the change from two landsat images. The first image was from July 2008, the second from August 2014. A value of 1 is the most change and a value of 0 indicates no change.
Delphi method: the client and their partners (experts) will be asked to assess the rank and weights for each of the factors. For this method they will individually weight each element and then the mean of all participants will be calculated. Once the group has reached a consensus those values will be applied to the data.
An example of this method will be done using arbitrary ranks and weightings for Trout Creek sub-watershed focusing on the Mill Brook.
In order for this process to work the input factors need to be polygon features. To convert a raster to polygon the values needed to be integers so the landsat results were reclassfied in to 6 equal groups, these would represent their ranks.
For the example the ranks were given a weight of 0.5.
Here are the attribute tables for soil and land use. I have arbitrarily ranked and weighted them to show how the process works. The vegetation change layer is already ranked so it only needed to be weighted, I have it a weight of 0.5. The soil was weighted at 0.2and land use at 0.3. Then the weighted rank is calculated.
The figure on the left is the result of the first union between soil and land use. The second map is the results of a union with the first output and vegetation change added. The attribute table is then updated with a total sum of the weighted ranks, adding all the weighted ranks together and providing a value between 1 and 6 for each polygon within the 60 m riparian buffer zone.
The first figure on the left is an example of the results of the sum of weighted ranks. The green highlights areas that least susceptible to damage during a flood, where the red are the most susceptible. The map the right shows all the areas within 60 m of the Mill Brook that have a value great than 4, the highest value being 6. You can see the area in the centre would be likely have the least damage and could be avoided for now.
The kml files a are not going to be used for analysis but instead to make the information accessible for the affected members of the community, who are interested but have software limitations.
They also have a lot of data on their current restoration sites and culvert assessments and would like to include these data sets in this database, so going forward that will be added
A road network and property boundary layers were also added to this database to facilitate creating a restoration after an ideal location has been identified.
Cananda land inventory data
http://sis.agr.gc.ca/cansis/nsdb/cli/classdesc.html#classes