Flood risk assessment of the Luanhe river basin under different development strategies and climate scenarios
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- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-08-09
- Identifier
- doi: / 10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168
- Other citation details
- Zhao, J.H., Liang, Q.H., Chen, H.L. (2021). Flood risk assessment of the Luanhe river basin under different development strategies and climate scenarios. NERC EDS Environmental Information Data Centre 10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168
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- If you reuse this data, you should cite: Zhao, J.H., Liang, Q.H., Chen, H.L. (2021). Flood risk assessment of the Luanhe river basin under different development strategies and climate scenarios. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168
- Spatial representation type
- textTable
- Spatial representation type
- grid
- Topic category
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- Environment
- Code
- WGS 84
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- dataset
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- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- The base data (population, climate scenarios) are mainly based on the open data (GPWv4, NEX-GDDP), and the flood inundation results are produced by the in-house high-performance integrated hydrodynamic modelling system (HiPIMS). The uplifts of climate scenarios are calculated by fitting a Log-Pearson type III distribution to the NEX-GDDP dataset to calculate the magnitudes of 100-year design rainfall at each pixel within the domain for the 'retrospective run'/historical period (i.e. 1950~2005) without climate change to give (mm/day), and future periods (2006~2030) with climate change (RCP4.5 and RCP8.5) to provide (mm/day). And this pixel-based climate change uplift is then averaged to the city-wide mask to create a city-based uplift (rcp45.csv, rcp85.csv). The parameters of the flood model are calibrated to the 2012 event, wherein the remote sensing data is considered as real-world observation (RemoteSensing_validation.tif and Validation.tif). And this calibrated model is then applied to the future development strategies (reflected by land use data) and climate change scenarios (reflected by uplifts) to calculate the flood inundation map for the future scenarios in Luanhe river basin (Baseline.tif, Conservation*.tif, Expansion*.tif, Sustainability*.tif, Trend*.tif). Base on the inundation map, the flood risk map of the local resident can be calculated by overlaying it on the GPWv4 data (Popu_2000.tif, Popu_2005.tif, Popu_2010.tif, Popu_2015.tif, Popu_2020.tif, Popu_2025.tif, Popu_2030.tif).
Metadata
- File identifier
- 82055942-386a-4a8b-b2a1-0c3eea12b168 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-03-01T10:37:51
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3