Data Aqueduct Floods mengukur risiko banjir sungai dan pesisir berdasarkan kondisi dasar saat ini dan proyeksi masa depan pada tahun 2030, 2050, dan 2080.
Selain menyediakan peta bahaya dan menilai risiko, Aqueduct Floods membantu melakukan analisis biaya-manfaat yang komprehensif untuk mengevaluasi nilai strategi perlindungan banjir tanggul.
Aqueduct Floods bertujuan untuk memberikan informasi kuantitatif tentang risiko pangan dan biaya strategi adaptasi kepada analis dan pengelola risiko bencana, serta membantu menginformasikan pengambilan keputusan kebijakan dan investasi.
Rekomendasi tim Google Earth Engine:
Set data ini dapat digunakan untuk:
Analisis regional skala yang lebih besar: apa risiko luas untuk area besar seukuran tingkat county / kota besar di Amerika Serikat?
Penilaian awal: saat Anda memerlukan "pandangan pertama" skala regional yang cepat tentang potensi perubahan pelepasan sungai tanpa memerlukan peta genangan banjir yang presisi.
Perubahan relatif: Perubahan ini melihat berbagai skenario iklim sehingga dapat digunakan untuk perubahan umum dalam besarnya dampak
Set data ini tidak boleh digunakan untuk:
Pemetaan banjir mendetail: seperti melihat risiko khusus properti
Sungai dataran rendah yang datar: penyederhanaan persamaan tidak memperhitungkan efek backwater (air mengalir ke belakang) yang sering terjadi di dataran banjir
Menganalisis struktur hidraulik: tidak cocok untuk menilai dampak spesifik struktur seperti jembatan, tanggul, atau bendungan yang menyebabkan efek backwater yang signifikan
Lihat
catatan teknis
dari penyedia data untuk mengetahui detail lengkap tentang metode yang digunakan dan untuk
memahami apakah data ini tepat untuk aplikasi Anda.
Band
Ukuran Piksel 1000 meter
Band
Nama
Unit
Min
Maks
Ukuran Piksel
Deskripsi
inundation_depth
m
0*
32,05*
meter
Kedalaman genangan banjir
* perkiraan nilai min atau maks
Properti Gambar
Properti Gambar
Nama
Jenis
Deskripsi
climatescenario
STRING
Jenis Skenario Iklim:
historis: Kondisi dasar/ tidak memerlukan skenario iklim
rcp4p5: Representative Concentration Pathway 4.5 (emisi karbon stabil)
rcp8p5: Representative Concentration Pathway 8.5 (emisi karbon meningkat)
floodtype
STRING
Jenis Banjir:
inuncoast: Bahaya banjir pesisir
inunriver: Bahaya banjir sungai
proyeksi
INT
Skenario kenaikan permukaan laut (dalam persentil)
5: Skenario kenaikan permukaan laut yang rendah
50: Proyeksi kenaikan permukaan laut median
95: Skenario kenaikan permukaan laut yang tinggi
returnperiod
INT
Periode pengulangan adalah interval waktu rata-rata yang diharapkan antara peristiwa bahaya dengan besaran tertentu atau lebih besar (dalam tahun). Peta bahaya banjir dibuat untuk periode pengulangan 1, 2, 5, 10, 25, 50, 100, 250, 500, dan 1.000 tahun.
penurunan permukaan
STRING
Hanya berlaku untuk jenis banjir inuncoast
nosub: Penurunan permukaan tidak termasuk dalam proyeksi
wtsub: Penurunan permukaan tanah disertakan dalam proyeksi
model
STRING
Hanya berlaku untuk jenis banjir di dalam sungai, menunjukkan jenis model yang digunakan.
000000000TONTON: Kondisi dasar
00000NorESM1-M: (Model GCM) Bjerknes Centre for Climate Research,
Norwegian Meteorological Institute
0000HadGEM2-ES: (Model GCM) Met Office Hadley Centre
00IPSL-CM5A-LR: (Model GCM) Institut Pierre Simon Laplace
tahun
INT
Tahun terjadinya banjir
Persyaratan Penggunaan
Persyaratan Penggunaan
Set data WRI tersedia tanpa batasan
penggunaan atau distribusi. WRI meminta agar pengguna memberikan atribusi yang tepat dan mengidentifikasi WRI, jika berlaku, sebagai sumber data. Untuk mengetahui informasi selengkapnya, lihat
Komitmen data terbuka WRI,
Data Aqueduct Floods mengukur risiko banjir sungai dan pesisir berdasarkan kondisi dasar saat ini dan proyeksi masa depan pada tahun 2030, 2050, dan 2080. Selain menyediakan peta bahaya dan menilai risiko, Aqueduct Floods membantu melakukan analisis biaya-manfaat yang komprehensif untuk mengevaluasi nilai strategi perlindungan banjir tanggul. Banjir Terowongan Air …
[null,null,[],[[["\u003cp\u003eThe Aqueduct Floods dataset provides riverine and coastal flood risk data under current and future scenarios (2030, 2050, 2080).\u003c/p\u003e\n"],["\u003cp\u003eIt includes hazard maps, risk assessments, and supports cost-benefit analysis for flood protection strategies.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset covers a period from 2010 to 2080, with global coverage at a 1000-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eData is freely available for use with attribution to the World Resources Institute (WRI).\u003c/p\u003e\n"],["\u003cp\u003eThe dataset can be accessed and analyzed using Google Earth Engine.\u003c/p\u003e\n"]]],["The Aqueduct Floods dataset, provided by the World Resources Institute, measures riverine and coastal flood risks from 2010 to 2080, including future projections for 2030, 2050, and 2080. It offers flood hazard maps, risk assessments, and cost-benefit analyses for dike protection. Data includes inundation depth and is available in a Google Earth Engine ImageCollection. Users can conduct comprehensive analyses using various flood types, climate scenarios, and sea-level rise projections. The dataset is free to use, with proper attribution to WRI.\n"],null,["# WRI Aqueduct Floods Hazard Maps Version 2\n\nDataset Availability\n: 2010-01-01T00:00:00Z--2080-12-31T23:59:59Z\n\nDataset Provider\n:\n\n\n [World Resources Institute](https://www.wri.org/research/aqueduct-floods-methodology)\n\nTags\n:\n[flood](/earth-engine/datasets/tags/flood) [monitoring](/earth-engine/datasets/tags/monitoring) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [wri](/earth-engine/datasets/tags/wri) \n\n#### Description\n\nAqueduct Floods data measures riverine and coastal food risks under both\ncurrent baseline conditions and future projections in 2030, 2050, and 2080.\nIn addition to providing hazard maps and assessing risks, Aqueduct Floods\nhelps to conduct comprehensive cost-benefit analysis to evaluate the value\nof dike flood protection strategies.\n\nAqueduct Floods aims to empower disaster risk analysts and managers with\nquantitative information on food risks and adaptation strategy costs, and to\nhelp inform policy and investment decision-making.\n\nGoogle Earth Engine team recommendation:\n\nThis dataset can be used for:\n\n- Larger scale regional analysis: what is the broad risk to the big area of the size of a US county level / large city?\n- Preliminary assessments: when you need a quick, regional-scale \"first look\" at potential changes in river discharge without needing precise floodplain inundation maps.\n- Relative changes: This looks at different climate scenarios so can be used for generalized changes in magnitude of impacts\n\nThis dataset should not be used for:\n\n- Detailed flood inundation mapping: such as looking at properties specific risk\n- Flat, lowland rivers: the simplification of the equations do not take into account backwater effects (water flowing backwards) which happens a lot in flood plains\n- Analyzing hydraulic structures: it is not suitable for assessing the specific impact of structures like bridges, levees, or weirs that cause significant backwater effects\n\nPlease see\n[the technical note](https://files.wri.org/d8/s3fs-public/aqueduct-floods-methodology.pdf)\nfrom data provider for full details on the methods used and to\nunderstand if this data is right for your application.\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|--------------------|-------|-----|---------|------------|------------------------|\n| `inundation_depth` | m | 0\\* | 32.05\\* | meters | Flood inundation depth |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-----------------|--------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| climatescenario | STRING | Climate Scenario types: - historical: Baseline condition/ no climate scenario needed - rcp4p5: Representative Concentration Pathway 4.5 (steady carbon emissions) - rcp8p5: Representative Concentration Pathway 8.5 (rising carbon emissions) |\n| floodtype | STRING | Type of Flood: - inuncoast: Coastal flood hazard - inunriver: Riverine flood hazard |\n| projection | INT | Sea level rise scenario (in percentile) - 5: A low sea level rise scenario - 50: The median sea level rise projection - 95: A high sea level rise scenario |\n| returnperiod | INT | Return period is the average time interval expected between hazard events of a given magnitude or greater (in years). The flood hazard maps are generated for return periods of 1, 2, 5, 10, 25, 50, 100, 250, 500, and 1000 years. |\n| subsidence | STRING | Applies only for inuncoast flood type - nosub: Subsidence not included in projection - wtsub: Subsidence included in projection |\n| model | STRING | Applies only for inunriver flood type, represents type of model used. - 000000000WATCH: Baseline condition - 00000NorESM1-M: (GCM model) Bjerknes Centre for Climate Research, Norwegian Meteorological Institute - 0000GFDL_ESM2M: (GCM model) Geophysical Fluid Dynamics Laboratory (NOAA) - 0000HadGEM2-ES: (GCM model) Met Office Hadley Centre - 00IPSL-CM5A-LR: (GCM model) Institut Pierre Simon Laplace |\n| year | INT | Flood occurence year |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe WRI datasets are available without restriction\non use or distribution. WRI does request that the\nuser give proper attribution and identify WRI, where applicable,\nas the source of the data. For more information check\n[WRI's open data commitment](https://www.wri.org/data/open-data-commitment),\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('WRI/Aqueduct_Flood_Hazard_Maps/V2');\nvar inundationDepth = dataset.select('inundation_depth');\nvar inundationDepthVis = {\n min: 0,\n max: 1,\n palette: ['ffffff','0000ff'],\n};\nMap.setCenter(-68.36, -6.73, 4);\nMap.addLayer(inundationDepth, inundationDepthVis, 'Aqueduct Flood Hazard Maps');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_Aqueduct_Flood_Hazard_Maps_V2) \n[WRI Aqueduct Floods Hazard Maps Version 2](/earth-engine/datasets/catalog/WRI_Aqueduct_Flood_Hazard_Maps_V2) \nAqueduct Floods data measures riverine and coastal food risks under both current baseline conditions and future projections in 2030, 2050, and 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods helps to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies. Aqueduct Floods ... \nWRI/Aqueduct_Flood_Hazard_Maps/V2, flood,monitoring,surface-ground-water,wri \n2010-01-01T00:00:00Z/2080-12-31T23:59:59Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.wri.org/research/aqueduct-floods-methodology)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WRI_Aqueduct_Flood_Hazard_Maps_V2)"]]
