Special Issue "Geo-computation and Spatial Big Data Application for Sustainable Management of Hydrometeorological Hazards: Methodological Innovations, Mitigation Strategies; Case Studies and Best Practices"
Deadline for manuscript submissions: 30 March 2022.
Interests: statistics; surface water hydrology; hydrodynamics; remote sensing and GIS; water quality; climate change
Interests: coastal and ocean engineering; earth science and hydrology; energy and climate change; environmental engineering; water pollution; groundwater; hydraulics; renewable energy; waste management
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Interests: smart cities; geospatial analysis and GIS; urban dynamics modeling; air quality modeling; pervasive sensing; nature-based solutions
Interests: ecosystem services; ecosystem service valuation; natural capital accounting; environmental remote sensing; spatial analysis; geospatial data analysis
The increasing interdependencies and coexistence among humans, nature, and society often make the complex socioecological system fragile and susceptible to external extremities, including natural and human-induced hazards. There has been ample evidence of an increasing trend of occurrence and intensity of hydrometeorological hazards that includes both meteorological and hydrological extremes across small to large spatial scales. Given the cascading impacts of various hydrometeorological hazards (HMZs), ranging from tropical and extratropical cyclonic storms, pluvial and fluvial flooding, coastal storm surges, drought, heatwaves, landslides, wildfires, cold waves, local climatic storms, etc., the requirement of a detailed analysis of those hazards and generation of cost-effective preventive solutions of HMZs are of paramount importance. The recent progress in advanced data-driven technologies exacerbates the practical application of monitoring and modeling approaches to mitigate HMZs, making HMZ decision support systems more achievable and trustworthy. Considering the existing state-of-the-art methods for managing HMZs, the present Special Issue aims to explore cross-disciplinary knowledge and scientific discourses that can collectively advance the current practices by providing more scalable solutions embedded with realistic and achievable outcomes.
The sole objective and scope of the Special Issue is to offer a novel, more sustainable, and cost-effective solutions to mitigate the risk of HMZs by providing a clear and detailed roadmap for practical implementation of the suggested solutions. The inclusion of cross-disciplinary ideas and approaches in the solution strategies can effectively reduce the augmented impact of HMZs in the long run. Hence, the Special Issue invites innovative contributions in terms of both original and review studies supported by either thorough monitoring or descriptive/analytical modeling and covering any of the following topics:
- Fluvial Floods in both natural and urban areas;
- Pluvial floods in both natural and urban areas;
- Flash floods in mountainous areas;
- Cloud burst and associated consequences;
- Coastal storm surges in coastal periphery areas;
- Innovations and sustainable solutions for urban flood risk;
- Practical strategies for urban stormwater management;
- Draught impact and control across the ecosystems;
- Desertification and effective management strategies;
- Tropical cyclonic storms from micro- to mesoscale and development of resilient community support system;
- Temperate storms from local to regional scale and effective management strategies;
- Local climatic storms;
- Dust storm in arid regions and management strategies;
- Soil loss and resulting consequences on ecosystem productivity;
- Urban heatwave and management strategies;
- Cold wave;
- Landslide and slope failure and effective mitigation strategies;
- Wildfires/forest fires/bush fires.
The present Special Issue expects to collect scientific discussion, innovative ideas, best practices, and cost-effective solutions that are embedded in both ecosystem/data-driven approaches and achievable management alternatives to provide a fresh overview of the state-of-the-art methods, techniques, and strategies for sustainably managing the risk of HMZs. This Special Issue also expects to receive articles that offer scalable and actionable multidisciplinary perspectives and have the potentiality to be applied in solving real-life problems. Additionally, studies that provide a critical discussion on the existing policies and decision support systems for managing HMZs effectively are also welcome.
Dr. Basu Bidroha
Prof. Dr. Laurence Gill
Prof. Dr. Francesco Pilla
Dr. Srikanta Sannigrahi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- hydrometeorological hazards
- meteorological data analysis
- hydro-meteorological modeling
- sustainable management system
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Google Earth Engine for large-scale Flood monitoring using SAR data and impact assessment on agriculture and population in Ganga-Brahmaputra basin
Authors: Kavita Kaushik, Arvind Chandra Pandey, and Bikash Ranjan Parida*
Affiliation: Central University of Jharkhand, India
Abstract: The Ganga-Brahmaputra basins area is highly sensitive to climate change impacts and would be exposed to recurrent flooding affecting large agricultural areas over the Indian subcontinent along with a high risk of the population. The present study is based on the recent flood disaster (2020) in the Ganga-Brahmaputra basin which mainly affected the Bihar and Assam states in India and neighboring Bangladesh during the month of August, September, and October 2020. The Sentinel-1 SAR data has been employed with a threshold of 1.25 based on VV polarization to derive the flooded area. All computations are performed in the Google Earth Engine. The detailed results are under preparation.
Title: Flood Hazard and Risk Mapping in North Bihar using Satellite-derived historical Flooding events during 2000–2020 and Socioeconomic data
Authors: Gaurav Tripathi, Arvind Chandra Pandey, and Bikash Ranjan Parida*
Affiliation: Central University of Jharkhand, India
Abstract: North Bihar is one of the most flood-affected states of India. Frequent flood hazards have caused significant loss of life and severe economic damages. In this study, hydro-climatic conditions and historical flood events during the period of 2000 to 2020 were coupled over different sub-basins in North Bihar. The main objective of the present study is to assess the severity of floods, hazards and vulnerability using MODIS-based reflectance product, Digital Elevation Model (DEM), and Sentinel–2A satellite data. Other thematic data such as land use, sinuosity map, drainage density, lineament density, road density, hydrogeomorphology, and relief map, etc. were also used to validate the severity of the event. Several satellite-derived indices were computed to drive flood maps. The flood maps over the 20 years were used to derive the flood frequency map and hazard map. The result shows that the central part of the northern plains comes under high to very high-risk flood zone. The details of the results are under preparation. The result can be applied to distinguish and classify areas of various risk zones to assist in flood mitigation and management activities.