The credibility challenge for global fluvial flood risk analysis

Quantifying flood hazard is an essential component of resilience planning, emergency response, and mitigation, including insurance. Traditionally undertaken at catchment and national scales, recently, efforts have intensified to estimate flood risk globally to better allow consistent and equitable decision making. Global flood hazard models are now a practical reality, thanks to improvements in numerical algorithms, global datasets, computing power, and coupled modelling frameworks. Outputs of these models are vital for consistent quantification of global flood risk and in projecting the impacts of climate change. However, the urgency of these tasks means that outputs are being used as soon as they are made available and before such methods have been adequately tested. To address this, we compare multi-probability flood hazard maps for Africa from six global models and show wide variation in their flood hazard, economic loss and exposed population estimates, which has serious implications for model credibility. While there is around 30-40% agreement in flood extent, our results show that even at continental scales, there are significant differences in hazard magnitude and spatial pattern between models, notably in deltas, arid/semi-arid zones and wetlands. This study is an important step towards a better understanding of modelling global flood hazard, which is urgently required for both current risk and climate change projections

Template scripts on Google Earth Engine to detect green tides on the foreshores of beaches using Landsat archive

This github data repository gives access to template scripts to detect and monitor green tides on the foreshores of beaches using Landsat archive. The template provide examples for beaches in Northern Brittany, France. Two templates show how to estimate the green tide surfaces using Google Earth Engine Javascript. One template focuses on retrieving spectral signatures for certain point of interest on one image and export them in a chart. <br

Template scripts on Google Earth Engine to detect green tides on the foreshores of beaches using Landsat archive

This github data repository gives access to template scripts to detect and monitor green tides on the foreshores of beaches using Landsat archive. The template provide examples for beaches in Northern Brittany, France. Two templates show how to estimate the green tide surfaces using Google Earth Engine Javascript. One template focuses on retrieving spectral signatures for certain point of interest on one image and export them in a chart. <br

Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022

This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals

Bore completion report Bore 25410 District Hospital Nhulunbuy

Made available by the Northern Territory Library via the Publications (Legal Deposit) Act 2004 (NT).Introduction -- Hydrogeology -- Water Quality -- Water Demand -- Results -- Recommendation -- References -- Attachments

Vertical profiles of streambed hydraulic conductivity determined using slug tests in central and western Nebraska /

Shipping list no.: 2002-0078-P.Includes bibliographical references (p. 24-25).Mode of access: Internet