Input data | Static base.h5 parameter overview | Twelve-scenario parameter grid | Run the twelve scenarios | Persist per-scenario engine inputs to XLSX | Results

Input data | Define Paths and Scenarios | Run Model | Analyse Results

Input data | Define Paths and Scenarios | Run Model | Analyse Results

Ziel | Standort-Konfiguration | Simultane Optimierung aller Standorte (Nelder-Mead, parallel) | Ergebnis: günstigstes Design je Standort und Überlaufziel | Gegenprobe: Vergleich mit der Bisektion | Alternative Optimierer im Vergleich | Einordnung

Ziel | Standort-Konfiguration | Suchraum und Kostensätze | Optimierung aller Standorte (parallel) | Ergebnis: günstigstes Design je Standort und Überlaufziel | Monte-Carlo-Analyse: Wie robust ist die Suche selbst? | Einordnung

Input data | Define Paths and Scenarios | Analyse Results

1. Prerequisites | 2. Inspect What Will Be Pushed | 3. Create Devices in ThingsBoard | 4. Push Station Master Data as Attributes | 5. Push Time Series (Level + Quality) | 6. Plan-Aware Tuning | 7. Visualise -- Import the Demo Dashboard | 8. Operational Helpers | 9. Production Push via GitHub Actions | 10. Re-Running and Idempotency | 11. Surface Water as an Alternative | 12. Switching to Self-Hosted CE

Define URLs and Helper Functions | Master Data | Get Groundwater Data | Do Your Own Analysis! | Data Availability | GW Quality | Export

Define Helper Functions | Master Data | Daily Surface Water Data & Overall Surface Water Quality | Daily Surface Water Levels

Install the Package | Overview on Monitoring Stations and Parameters | Provide Pipe Operator and Helper Functions | Groundwater Level Data | Master data | Trend Classification | 1. Trend Classification Histogram | 2. Trend Classification Map | Groundwater Levels: One Station | Groundwater Levels: Multiple Stations | Groundwater Quality Data | Groundwater Quality: One Station | Groundwater Quality: Multiple Stations

Overview | One-shot run | Login is optional | Step by step | Research groups & keywords | Two relevance layers | Automation (GitHub Actions)

1 Install required R packages | 2 Configure and create your package | 2.1 Prepare a package directory | 2.2 Create empty R package | 2.3 Parameterise your R package | Author | Package description | 2.4 Create R package structure in KWB-R style | 2.5 Add your R functions | 3 Check your package | 4 Build your package | 5 Document your package | 5.1 Manually | 5.2 Automatically

1 Default workflows | 2 Optional: Claude Code workflows | 2.1 Required repository secret | 2.2 What Claude does | 3 Updating workflows in existing packages | 4 Troubleshooting

Preparation | Model Configuration and Network | Visualise Network | Prepare Simulation | Run Simulation | Water Quantity | Water Quality

Install R Package | Input Dataset | Resampling | Regression | Hyperparameter Tuning | Best-Fit Model | Classification

Install R Package | Input Dataset | Resampling | Regression | Hyperparameter Tuning | Best-Fit Model | Classification

Install R Package | Define Paths | Run Model | Read Results

Install R Package | Tidy Lab Data | Prepare PHREEQC Input File | Run PHREEQC | Get Results | Export to Excel

Logfiles | Histories

Install R packages | Use

Install R package | Download SWMM Executable | Define Paths | Read Input | Run SWMM | Read Output | Calculate Rainstats

Define paths | Image Files | Cloud | Machine Learning | Input Data | Satellite Image | Classification Dataset | Setup Model

Workflow | Scenario Results

Scenario Results | Land Use Classification Comparison | ABIMO vs SWMM Comparison

VRR without LIDs | VRR with LIDs | VRR increase by LIDs

Simulate Performance | Evaluate Performance | Median Volume Rainfall Retended per Year | Bioretention Cell | Green Roof | Permeable Pavements | Boxplots | Volume Rainfall Retended | Permeable Pavement | Runoff Maximum per Event | Runoff Volume per Event | Export Results to Excel

Learning | Resources

1. Register for CDS services | 2. Setting Access Rights | 4. Create a query | 5. Run your query | 6. Load raster data

1. Load the required R packages | 2. Dose-response database from QMRAwiki | 2.2 Visualise

1 Pre-required software | 2 R Packages | 2.1 devtools | 2.2 kwb.qmra

1 Input data | 1.1 Location of 'dummy' configuration | 1.2 Import configuration into R | 2 Check input data | 4 Run risk calculation | 5 Visualise results | 5.1 Inflow | 5.2 Treatment | 5.3 Effluent | 5.4 Exposure | 5.5 Health results | 5.5.1 Per event | 5.5.2 Total | 6 Export results

1 Input data | 1.1 Location of 'dummy' configuration | 1.2 Import configuration into R | 2 Check input data | 4 Run risk calculation | 5 Visualise results | 5.1 Inflow | 5.2 Treatment | 5.3 Effluent | 5.4 Exposure | 5.5 Health results | 5.5.1 Per event | 5.5.2 Total | 6 Export results

1 Input data | 1.1 Location of 'dummy' configuration | 1.2 Import configuration into R | 2 Check input data | 4 Run risk calculation | 5 Visualise results | 5.1 Inflow | 5.2 Treatment | 5.3 Effluent | 5.4 Exposure | 5.5 Health results | 5.5.1 Per event | 5.5.2 Total | 6 Export results

Background

Installation | Data prerequisites | File naming | Data structure | Data preparation | Import | Visualise | Surface water | Groundwater | Select | Surface Water (selected) | Grundwater (selected) | Sinus optimisation | Run | Analyse | Interactive Plot | Table: Traveltimes | Table: Goodness of Fit | Table: Optimisation Parameters | Table: Data | Export

Installation | Data prerequisites | File naming | Data structure | Data preparation | Import | Visualise | Surface water | Groundwater | Select | Surface Water (selected) | Grundwater (selected) | Sinus optimisation | Background | Run | Analyse | Interactive Plot | Table: Traveltimes | Table: Goodness of Fit | Table: Optimisation Parameters | Table: Data | Export | Session Info | Plattform | Packages | Pandoc

Installation | Data prerequisites | File naming | Data structure | Data preparation | Import | Visualise | Surface water | Groundwater | Select | Surface Water (selected) | Grundwater (selected) | Sinus optimisation | Background | Run | Analyse | Interactive Plot | Table: Traveltimes | Table: Goodness of Fit | Table: Optimisation Parameters | Table: Data | Export | Session Info | Plattform | Packages | Pandoc

Introduction | 1 GitHub Personal Access Token (PAT) | 1.1 Create GitHub PAT | 1.2 Store GitHub PAT in a Text File | 1.3 Delete GitHub PAT | 2 Installation | 2.1 Set your GITHUB_PAT | 2.2 Dependency | 2.3 KWB-R packages

1. Install from GitHub | 2. Using the package | 2.1 Loading the package | 2.2 Model validation | 3. How to perform model runs? | 3.1 Model parameterisation | 3.2 Running the model | 3.3 Plotting the results

Algolia Configuration | Interactive Use | Continious Integration | Other API calls | Get | Content | Delete Index

Dose-Response | Health

Installation | Update Database | Where to find it ? | Have a look at the database structure | Make changes | Dump Content in CSV files | Create ZIP File | Suggest Your Changes on GitHub

1 Installation | 2 Import data from "qmra.db" | 3 Test | 3.1 Define Checking Function | 3.2 Define Plot Function | 3.4 Run Checking Function And Plot | 3.5 Export Distribution Plots to PDF | 4 Session Info

1 Online App | 1.1 German | 1.2 English | 2 Offline App | 2.1 German | 2.2 English

1 Install R package | 2 How to check KWB R package status | 2.1 Parameterise | 2.2 Get dataframe of R package status information | 2.3 Create R package status report

0.1 Background | 0.2 Objective

1.1 Pre-required software | 1.2 Workflow | 1.2.1 Step 1) Installation of R package "devtools" | 1.2.2 Step 2) Installation of R package "aquanes.report" | 2.1) Specific release | 1.2.3 Step 3) Check the installation folder of the package in R(Studio) with: | 1.2.4 Step 4) Copy site specific files | 1.2.4.1 mySQL configuration file ('.my.cnf') | 1.2.4.2 Analytics spreadsheet file ('analytics.xlsx')

3.1.2 Select a time zone | 3.1.3 Select date range | 3.1.4 Fix date range | 3.1.5 Select sampling point(s) | 3.1.6 Select parameter(s) for plot 1/2 | 3.1.7 Add thresholds to plot 1+2 | 3.1.8 Download options

3.2.1 Select temporal aggregation | 3.2.2 Select a time zone | 3.2.3 Select a reporting period | 3.2.4 Select sampling points | 3.2.7 Download options

4.1 Basic: update operational/analytical data | 4.2 Basic: update thresholds | 4.3 Basic: update map in site panel tab | 4.4 Advanced: adapting to a different site

Case 1) First app launch or force data update | Case 2) Subsequent app launch (without data update)