FEH is the industry standard used to estimate local flood risk and develop resilient infrastructure.
New Service – Rainfall Return Period calculation for any location using the FEH 2013 methodology
MAP Rain dashboard and rainfall map now includes the updated FEH (Flood Estimation Handbook) 2013 methodology as well as the original FEH99 method. This provides the Return Period calculation for any location and any date in the past 4 years using the MAP Rain dashboard. These Return Period calculations are available for both Points and Polygons.
You can use the MAP Rain dashboard to calculate:
The depth (mm) and duration (hours) of rainfall that generates the largest Return Period on a particular day
The depth (mm) of rain for the location that generates a specific Return Period for a specific rainfall duration (hours)
For more information on our MAP Rain dashboard and rainfall map click here
Predicted Rainfall Alerts
MAP Rain can also apply the FEH 2013 methodology to the forecast rainfall so that we can send you e-mail alerts for any significant rain events that may impact flooding hotspots.
Return Period calculation API calls
We have built two API calls into MAP to let you integrate the FEH 2013 return period calculations directly into your own applications. Please note that these call will take about 2 minutes to return.
Returns depth (mm), duration (hours) and Return Period for a particular day and location
Inputs
Date 17th Sept 2017 (rainy day)
Location in Long Lat (WGS84) or OS Easting and Northing
Returns
Rain Event Start and End Time 14:30 to 16:00
Duration 1.5 hours
Max Depth 16.68 mm
Return Period 1 in 2.45 years
Returns depth of rain (mm) for a specific duration (hours), return period and location
Inputs
Location in Long Lat (WGS84) or OS Easting and Northing
Duration 5 hours
Return Period 1 in 20 years
Returns
Max Depth 47.72 mm
Acknowledgement
FEH Return Periods calculated by Meniscus through use of FEH1999 and FEH2013 DDF model © and Database right NERC (CEH).
Stewart, E. J.; Jones, D. A.; Svensson, C.; Morris, D. G.; Dempsey, P.; Dent, J. E.; Collier, C. G.; Anderson, C. A.. 2013 Reservoir Safety – Long Return Period Rainfall. Project FD2613 WS 194/2/39 Technical Report (two volumes). Joint Defra/Environment Agency Flood and Coastal Erosion Risk Management R&D Programme.
MAP Sewer – creation of simplified sewer network models
We have been working to speed up the creation of the simplified sewer network models in MAP Sewer so that we can rapidly create new models for new catchments. We have now automated the process of creating the main simplified model, and all the relevant geometries, from the detailed GIS layers that make up the ‘standard’ detailed models used by most water companies.
The objective of this work is:
The methodology includes:
The process takes several hours to run and the outputs are:
Once this is done then we can add some of the pumping attributes to the Pumping Station and Detention Tank geometry files and then load all the files into MAP Sewer from the dashboard. MAP Sewer then creates the geometries in a few minutes and the whole catchment is calculated in 20 minutes – this includes over 2 years of historic data all at 5 minute periodicity. We can now start to validate the model and to feed it with real time and forecast rainfall data.
Optimize battery storage by predicting power output
This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes.
The project uses near real time satellite imagery to predict the path of clouds and to predict the solar irradiance at any location for the next 2 hours at 15 minute increments. Therefore, by predicting the solar irradiance we can predict the solar power output for the site and optimize battery storage and increase revenue from the National Grid’s Demand Side Response programme.
The Project found that PV sites larger than 2MW would benefit from this technology and it is especially coct effective for sites operating ‘behind the meter’ with either battery storage or with on-site demand.
The project finished in January 2019 and was built using the Meniscus Analytics Platform (MAP).
Project partners:
MAP Rain – New FEH 2013 Rainfall Return Period calculator
New Service – Rainfall Return Period calculation for any location using the FEH 2013 methodology
MAP Rain dashboard and rainfall map now includes the updated FEH (Flood Estimation Handbook) 2013 methodology as well as the original FEH99 method. This provides the Return Period calculation for any location and any date in the past 4 years using the MAP Rain dashboard. These Return Period calculations are available for both Points and Polygons.
You can use the MAP Rain dashboard to calculate:
For more information on our MAP Rain dashboard and rainfall map click here
Predicted Rainfall Alerts
MAP Rain can also apply the FEH 2013 methodology to the forecast rainfall so that we can send you e-mail alerts for any significant rain events that may impact flooding hotspots.
Return Period calculation API calls
We have built two API calls into MAP to let you integrate the FEH 2013 return period calculations directly into your own applications. Please note that these call will take about 2 minutes to return.
Returns depth (mm), duration (hours) and Return Period for a particular day and location
Inputs
Date 17th Sept 2017 (rainy day)
Location in Long Lat (WGS84) or OS Easting and Northing
Returns
Rain Event Start and End Time 14:30 to 16:00
Duration 1.5 hours
Max Depth 16.68 mm
Return Period 1 in 2.45 years
Returns depth of rain (mm) for a specific duration (hours), return period and location
Inputs
Location in Long Lat (WGS84) or OS Easting and Northing
Duration 5 hours
Return Period 1 in 20 years
Returns
Max Depth 47.72 mm
Acknowledgement
FEH Return Periods calculated by Meniscus through use of FEH1999 and FEH2013 DDF model © and Database right NERC (CEH).
Stewart, E. J.; Jones, D. A.; Svensson, C.; Morris, D. G.; Dempsey, P.; Dent, J. E.; Collier, C. G.; Anderson, C. A.. 2013 Reservoir Safety – Long Return Period Rainfall. Project FD2613 WS 194/2/39 Technical Report (two volumes). Joint Defra/Environment Agency Flood and Coastal Erosion Risk Management R&D Programme.
MAP Solar – new service predicts solar power and irradiance at any location
MAP SOLAR is our new service to predict solar power and irradiance. This is ideal for companies wanting to optimize on-site battery use or improve the management of micro-grids.
Overview
MAP Solar applies Artificial Intelligence and a Block Matching and Relaxation algorithm to the latest satellite imagery to predict the path of clouds. So, for any location in the UK, we can predict solar power and solar irradiance and help you maximise revenue from your solar PV sites.
Actual and Predicted power (kW) compared with actual irradiance data (W/m2)
For more information then view our MAP Solar solution page or Send us a message or give us a call on 01480 433714.
Partners
This was funded under an InnovateUK Collaborative Project. Our partners are:
Lead Partner providing the data analytics and processing capability to deliver solar intensity predictions. All predictive analytics are delivered using the Meniscus Analytics Platform (MAP).
Energy tech partner providing expertise to deliver accurate, real-time PV-based Demand Side Response solutions to Distribution Network Operators and owner/operators of solar farms to more efficiently manage local networks and generate income.
BRE – National Solar Centre is responsible for ensuring the system meets the requirements of the PV industry and providing domain expertise and access/advice on technical solar issues.
Owner of one of the solar farms used to test and demonstrate the system.
MAP Rain – rainfall map and analytics for urban areas
We are pleased to announce the introduction of a new geometry in MAP RAIN that delivers big cost reductions. This is ideal for large rural agencies who want a rainfall map and rainfall analytics data for their urban areas.
A new Multi-Polygon geometry delivers a rainfall map for just the areas that area of specific interest to you. Before this, we had to provide rainfall and associated data for the whole area of interest.
Click here for more information on MAP Rain and rainfall map
Example of multi-polygon area
To receive a quote for using MAP Rain in your are then please send us a message from the Contact Page
MAP Rain – updated imagery for rainfall map
We recently updated MAP Rain to display rainfall as an image making it much faster to display new images. Previously we displayed rainfall for each individual 1 km square cell. MAP Rain processes data in km squares using the Ordnance Survey Grid Reference system but the dashboard uses the WGS84 projection. So to produce a suitable image we have to go through several stages.
This process allows us to return different ‘zoom’ levels of the image with each having a better resolution. Most other mapping solutions limit the zoom level as they only display the one image for the whole of the UK.
Click here for more information on MAP Rain and our rainfall map and dashboard
Areal FEH 99 Return Period calculation for polygons
As part of our aim of continuing to add complex rainfall analytics into MAP Rain we have added the Areal FEH 99 return period calculation that lets you create the areal return period for a polygon – this is the methodology as set out in the Flood Estimation Handbook.
How to run
MAP Rain will then calculate the Areal FEH 99 Return Period and display all the coefficients and results in the map results pane along with a graph of the rainfall intensity for 3 days – includes the previous and the next days.
Click here for more information on MAP Rain
Yorkshire Water network resilience hackathon
Overview of a one day hackathon using a closed data set to investigate how data analytics can help find the best locations for some +8,000 sensors. Details the solution delivered and developed on the day
Improved architecture lets MAP scale on demand
Our latest release lets us run multiple instances of core modules (importers, calculators and invalidators) on multiple servers with the ability to start and stop instances on demand.
Yorkshire Water leakage hackathon – use of MAP IOT
Overview of the Open Data leakage hackathon run by Yorkshire Water to identify new ways of applying Big Data and analytics solutions to the issue or water leakage