The challenge of unprecedented floods and droughts in risk management.

Risk management has reduced vulnerability to floods and droughts globally, yet their impacts are still increasing. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced.

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB.

This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries.

Improved Transferability of Data-Driven Damage Models Through Sample Selection Bias Correction.

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data-driven modeling techniques have been used to capture those relationships.

Sociohydrology: Scientific Challenges in Addressing the Sustainable Development Goals.

The Sustainable Development Goals (SDGs) of the United Nations Agenda 2030 represent an ambitious blueprint to reduce inequalities globally and achieve a sustainable future for all mankind. Meeting the SDGs for water requires an integrated approach to managing and allocating water resources, by involving all actors and stakeholders, and considering how water resources link different sectors of society. To date, water management practice is dominated by technocratic, scenario-based approaches that may work well in the short term but can result in unintended consequences in the long term due to limited accounting of dynamic feedbacks between the natural, technical, and social dimensions of human-water systems.

Causative classification of river flood events.

A wide variety of processes controls the time of occurrence, duration, extent, and severity of river floods. Classifying flood events by their causative processes may assist in enhancing the accuracy of local and regional flood frequency estimates and support the detection and interpretation of any changes in flood occurrence and magnitudes. This paper provides a critical review of existing causative classifications of instrumental and preinstrumental series of flood events, discusses their validity and applications, and identifies opportunities for moving toward more comprehensive approaches.

The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model.

In this paper, empirical data are used to estimate the parameters of a sociohydrological flood risk model. The proposed model, which describes the interactions between floods, settlement density, awareness, preparedness, and flood loss, is based on the literature. Data for the case study of Dresden, Germany, over a period of 200 years, are used to estimate the model parameters through Bayesian inference.

Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification.

Understanding and quantifying total economic impacts of flood events is essential for flood risk management and adaptation planning. Yet, detailed estimations of joint direct and indirect flood-induced economic impacts are rare. In this study an innovative modeling procedure for the joint assessment of short-term direct and indirect economic flood impacts is introduced.

Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT-FLEMO.

Flood loss modeling is an important component for risk analyses and decision support in flood risk management. Commonly, flood loss models describe complex damaging processes by simple, deterministic approaches like depth-damage functions and are associated with large uncertainty. To improve flood loss estimation and to provide quantitative information about the uncertainty associated with loss modeling, a probabilistic, multivariable Bagging decision Tree Flood Loss Estimation MOdel (BT-FLEMO) for residential buildings was developed.

A Review of Flood Loss Models as Basis for Harmonization and Benchmarking.

Risk-based approaches have been increasingly accepted and operationalized in flood risk management during recent decades. For instance, commercial flood risk models are used by the insurance industry to assess potential losses, establish the pricing of policies and determine reinsurance needs. Despite considerable progress in the development of loss estimation tools since the 1980s, loss estimates still reflect high uncertainties and disparities that often lead to questioning their quality.

The 2011 flood event in the Mekong Delta: preparedness, response, damage and recovery of private households and small businesses.

Floods frequently cause substantial economic and human losses, particularly in developing countries. For the development of sound flood risk management schemes that reduce flood consequences, detailed insights into the different components of the flood risk management cycle, such as preparedness, response, flood impact analyses and recovery, are needed. However, such detailed insights are often lacking: commonly, only (aggregated) data on direct flood damage are available.

Flood risk assessments at different spatial scales.

Managing flood risk, i.e. both the hazard and the potential consequences, is an important aspect of adapting to global change and has gained much traction in recent decades.

Adaptive flood risk management planning based on a comprehensive flood risk conceptualisation.

Densely populated deltas are so vulnerable to sea level rise and climate change that they cannot wait for global mitigation to become effective. The Netherlands therefore puts huge efforts in adaptation research and planning for the future, for example through the national research programme Knowledge for Climate and the Delta Programme for the Twenty-first century. Flood risk is one of the key issues addressed in both programmes.

A delphi method expert survey to derive standards for flood damage data collection.

For the purpose of flood damage analyses reliable, comparable, comprehensive, consistent, and up-to-date data are an indispensable need. Like in many other countries a database with this kind of datasets does not exist in Germany. To establish it, standards have to be set for flood damage data collection.

The role of disaggregation of asset values in flood loss estimation: a comparison of different modeling approaches at the Mulde River, Germany.

In loss estimation there is a spatial mismatch of hazard data that are commonly modeled on an explicit raster level and exposure data that are often available only for aggregated administrative units. Usually disaggregation methods that use ancillary information to distribute lumped exposure data in a finer spatial resolution help to bridge this gap. However, the actual influence of different mapping techniques and ancillary data on the final loss estimation has not been analyzed yet.

Improvements on flood alleviation in Germany: lessons learned from the Elbe flood in August 2002.

The increase in damage due to natural disasters is directly related to the number of people who live and work in hazardous areas and continuously accumulate assets. Therefore, land use planning authorities have to manage effectively the establishment and development of settlements in flood-prone areas in order to avoid the further increase of vulnerable assets. Germany faced major destruction during the flood in August 2002 in the Elbe and Danube catchments, and many changes have been suggested in the existing German water and planning regulations.

Insurability and mitigation of flood losses in private households in Germany.

In Germany, flood insurance is provided by private insurers as a supplement to building or contents insurance. This article presents the results of a survey of insurance companies with regard to eligibility conditions for flood insurance changes after August 2002, when a severe flood caused 1.8 billion euro of insured losses in the Elbe and the Danube catchment areas, and the general role of insurance in flood risk management in Germany.

Estimation of symbiotic N2 fixation in an Amazon floodplain forest.

Sustainable management for existing Amazonian forests requires an extensive knowledge about the limits of ecosystem nutrient cycles. Therefore, symbiotic nitrogen (N2) fixation of legumes was investigated in a periodically flooded forest of the central Amazon floodplain (Várzea) over two hydrological cycles (20 months) using the 15N natural abundance method. No seasonal variation in 15N abundance (delta 15N values) in trees which would suggest differences in N2 fixation rates between the terrestrial and the aquatic phase was found.

Development and validation of methods for the trace determination of PCBs in biological matrices.

A method was developed to determine trace concentrations of a range of individual PCB congeners in biological samples (grass, silage, cattle faeces and milk-fat) which were taken from rural or 'background' areas of the UK, in order to prepare a mass balance of PCBs in grazing, lactating cows. A simple milk-fat extraction method was compared to Soxhlet extraction and to whole milk extraction. Results indicated that simply boiling milk-fat in hexane with sodium sulphate present gave a comparable extraction of PCBs to other methods.

[The status of diagnosis of Barrett esophagus. An analysis of 1000 histologically diagnosed cases].

Objective: To evaluate the quality of diagnosis in cases of Barrett's oesophagus (BOe). It was examined whether: (1) there had been regular pre-treatment investigations;(2) characteristic mucosal changes had been recognized by endoscopy; (3) a diagnosis of intraepithelial neoplasia had been made more often than of advanced Barrett carcinoma.

Patients And Methods: Endoscopic and associated bioptic reports on 1000 consecutive patients with histologically confirmed BOe, seen between 1990 and 1995, were analysed.

["Public health and scientific-technical progress"].

The tasks of the hygienic and social-medical oriented special disciplines are summarizingly presented in relation to the state of the development of sciences and the social changes at the turn of the years 1989/90. The Hygienic Congress 1990 at Berlin was directed to the contribution of hygienic and social-medical disciplines during the practical performance of health protection of the population under the conditions of the scientific-technical progress.

[The search for interventional priorities for the prevention of chronic diseases in females employed in the health service].

With a view of clearing up certain influence of the working and living conditions on health, some results of control examinations in occupational medicine from the years 1985 to 1988 of women employed in the health service (n = 86,769) were analyzed and compared with those of the investigations carried out on all women in the GDR (n = 662,578). The tracking down of significant deviations in the age-standardized prevalence rates for chronic health disturbances was performed by means of a specialized computer programme for the health of women and for 7 occupations. Among other things, it was possible to prove permanently increased prevalence rates for chronic diseases of the kidneys/urinary passages in the overall population and in the personnel for laboratory diagnostics, as well as an increased prevalence of hypertension in day nursery educators.