A serious gaming framework for decision support on hydrological hazards.

Sci Total Environ

IIHR-Hydroscience & Engineering, University of Iowa, Iowa City, IA, USA.

Published: August 2020

With increasing population and human intervention on the natural environment, hazards are a growing threat, coming in many forms, including floods, droughts, soil erosion, and water pollution. A key approach to mitigate hydrological disaster risk at the community level is informed planning with decision support systems. The literature shows emerging efforts on multi-hazard decision support systems for hydrological disasters and demonstrates the need for an engaging, accessible, and collaborative serious game environment facilitating the relationship between the environment and communities. In this study, a web-based decision support tool (DST) was developed for hydrological multi-hazard analysis while employing gamification techniques to introduce a competitive element. The serious gaming environment provides functionalities for intuitive management, visualization, and analysis of geospatial, hydrological, and economic data to help stakeholders in the decision-making process regarding hydrological hazard preparedness and response. Major contributions of the presented DST include involving the community in environmental decision making by reducing the technical complexity required for analysis, increasing community awareness for the environmental and socio-economic consequences of hydrological hazards, and allowing stakeholders to discover and discuss potential trade-offs to hazardous scenarios considering the limitations in budget, regulations, and technicality. The paper describes the software design approaches and system architecture applied for a modular, secure, and scalable software as well as the framework's intuitive web-based user interfaces for real-time and collaborative data analysis and damage assessment. Finally, a case study was conducted to demonstrate the usability of DST in a formal setting and to measure user satisfaction with surveys.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2020.138895DOI Listing

Publication Analysis

Top Keywords

decision support
16
serious gaming
8
hydrological hazards
8
support systems
8
hydrological
7
decision
5
gaming framework
4
framework decision
4
support
4
support hydrological
4

Similar Publications

Background And Objectives: Recent advances in multimodal large language models (MLLMs) have shown promise in medical image interpretation, yet their utility in surgical contexts remains unexplored. This study evaluates six MLLMs' performance in interpreting diverse imaging modalities for laryngeal cancer surgery.

Methods: We analyzed 169 images (X-rays, CT scans, laryngoscopy, and pathology findings) from 50 patients using six state-of-the-art MLLMs.

View Article and Find Full Text PDF

Importance: An increasing number of older adults are undergoing surgery. Older adults face significant challenges throughout the spectrum of perioperative care. No frameworks exist to support primary care clinicians in helping older adults navigate perioperative care beyond preoperative medical clearance.

View Article and Find Full Text PDF

New and Emerging Biological Therapies for Myasthenia Gravis: A Focussed Review for Clinical Decision-Making.

BioDrugs

January 2025

Department of Neurology, Neuroscience Clinical Research Center (NCRC) and Integrated Myasthenia Gravis Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Charitéplatz 1, Germany.

Myasthenia gravis (MG) is a rare autoimmune disease characterised by exertion-induced muscle weakness that can lead to potentially life-threatening myasthenic crises. Detectable antibodies are directed against specific postsynaptic structures of the neuromuscular junction. MG is a chronic condition that can be improved through therapies, but to date, not cured.

View Article and Find Full Text PDF

The biochemical composition of sediments, which depends on the origin of the organic matter (OM), is decisive in methane (CH) production. This study aimed to determine the CH produced under anaerobic conditions from different substrates: native reservoir sediments and sediments with the addition of complex OM from Microcystis spp. blooms and terrestrial plants (pasture), alongside the biochemical characterization of the substrates used.

View Article and Find Full Text PDF

Purpose: As Bladder EpiCheck (BE) is a promising urinary biomarker for diagnosis and follow up of non-muscle-invasive bladder cancer (NMIBC), there are no studies evaluated this tool for second transurethral resection (TUR) indication. We aim to evaluate the performance of BE in predicting residual tumor before second TUR in NMIBC and its effects on clinical decision making.

Methods: A total of 50 patients who were diagnosed with NMIBC and indicated for a second TUR were included in the study prospectively.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!