Suchergebnisse

Multiple criteria decision analysis (MCDA) methods have shown advantages in supporting decision-making with problems that confront conflicting objectives. However, current applications to complex environmental problems featuring the dynamic social sphere, particularly problems involving cultural heritage and nature, have yet to substantially reflect this. The dynamic social sphere reflects the demand for scenario forecasting in decision-making support. This knowledge gap has not been addressed sufficiently in MCDA research. A participatory MCDA method is hence proposed as a merger with Contingent Valuation Method (CVM) as the scenario forecasting. The MCDA is then carried out to tackle a complex environmental problem caused by traditional food production in a historic town, Daxi in Taiwan. The result reveals a remarkable willingness to support this issue of a historically significant industry causing detriment to environment (with WTP estimate of 128,700,000 USD from the public) and suggests a plan that applies multiple policy instruments rather than following a potentially adverse polluter-pays principle. This manifests the authors' argument that recognition of heritage significance has dramatically affected selection of policy instruments and provides a critical recommendation to the local government which has struggled to find solutions. The proposed MCDA also highlights its participatory aspect for addressing issues involving cultural heritage, supported by several key steps, in particular the intervention-impact value tree building, the scenario forecasting and the sensitivity analysis.

Abstract. Floods are among Earth's most common and most destructive natural hazards,
affecting human lives and properties directly and indirectly around the
world. The frequency and magnitude of extreme flooding have been increasing
in many parts of the world in recent decades (see, e.g. Berghuijs et al.,
2017; Blöschl et al., 2019a; Marijnissen et al., 2019), hampering human
well-being and economic growth in both developed and developing countries.
Flood risk management carries out the flood risk assessment and uses
appropriate resources (human, finance, science and technology, and nature)
to control the flood risk (Han, 2011), which is an urgent challenge for the
scientific and engineering communities to address. In a similar way to "Twenty-three unsolved problems in hydrology" (Blöschl et al., 2019b), despite decades of
research in this field, there are still many unsolved problems in floods as
well. This special issue "Flood Risk Assessment and Management" is an outcome of the session "Flood Risk
Assessment and Management" in the Naturals Hazards Division at the European
Geosciences Union (EGU) General Assembly held in Vienna, Austria. The
session series has been organized annually at EGU since 2018. This special
issue presents a wide range of in-depth research studies based on flood
modelling (including hydrological modelling and hydrodynamic modelling),
hazard mapping, flood damage and risk assessment as well as studies that
focus on flood relief prioritization, mitigation strategies and flood
policies. Extraordinary floods and debris flows are also included due to dam
and dike breaks and extreme storms over gullies in mountain areas. The nine
articles in this special issue are broadly introduced in the following three
categories.

Understanding and improving public flood risk perception is conducive to the implementation of effective flood risk management and disaster reduction policies. In the flood-prone city of Jingdezhen, flood disaster is one of the most destructive natural hazards to impact the society and economy. However, few studies have been attempted to focus on public flood risk perception in the small and medium-size city in China, like Jingdezhen. Therefore, the purpose of this study was to investigate the public flood risk perception in four districts of Jingdezhen and examine the related influencing factors. A questionnaire survey of 719 randomly sampled respondents was conducted in 16 subdistricts of Jingdezhen. Analysis of variance was conducted to identify the correlations between the impact factors and public flood risk perception. Then, the flood risk perception differences between different groups under the same impact factor were compared. The results indicated that the socio-demographic characteristics of the respondents (except occupation), flood experience, flood knowledge education, flood protection responsibility, and trust in government were strongly correlated with flood risk perception. The findings will help decision makers to develop effective flood risk communication strategies and flood risk reduction policies. (PDF) Analysis of the Public Flood Risk Perception in a Flood-Prone City: The Case of Jingdezhen City in China. Available from: https://www.researchgate.net/publication/328750736_Analysis_of_the_Public_Flood_Risk_Perception_in_a_Flood-Prone_City_The_Case_of_Jingdezhen_City_in_China [accessed Nov 12 2018].

Data science trends and opportunities for smart water utilities -- Review of Techniques for Optimal Placement of Pressure and Flow Sensors for Leak/Burst Detection and Localisation in Water Distribution Systems -- A bird's-eye view of data validation in the drinking water industry of The Netherlands.-Monitoring and controlling a smarter wastewater treatment system: a UK perspective -- Using Radial Basis Function for Water Quality Events Classification -- Promoting Smart Water Systems in Developing Countries through Innovation Partnerships: Evidence from VIA Water-supported projects in Africa -- Exploring assimilation of Crowdsourcing Observations into Flood Models -- Precipitation measurement with weather radar -- Satellite Remote Sensing of Soil Moisture for Hydrological Applications: A Review of Issues to Be Solved -- Spectroscopic Methods for Online Water Quality Monitoring -- Quartz-Crystal Microbalance sensors: new tools for the assessment of organic threats to the quality of water.