Ioannis Kapageridis

Prof. Ioannis Kapageridis

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
13 July 2024 in Land
Verified
Journal Article
Open access
PDF file
Chrysoula PagouniChrysoula Pagouni
Chrysoula Pagouni
Francis F PavloudakisFrancis F Pavloudakis
Francis F Pavloudakis
IKIoannis Kapageridis
Ioannis Kapageridis
AYAthena Yiannakou
Athena Yiannakou
Post-mining land management is an integral part of surface mining and quarrying operations. In this context, the questions raised concern what course of action is mandated by laws and regulations; what type of land reclamation should be implemented, taking into account the site-specific conditions prevailing in each mining area; what are the appropriate land uses; and by what criteria and methodology can these be determined? The literature review conducted as part of the present study revealed that in addition to the traditional 4R actions of land management, namely remediation, restoration, reclamation, and rehabilitation, two more actions, repurposing and co-purposing, have now been added, with the purpose to address the social and economic impacts of mine closures. Furthermore, numerous land uses were documented and categorized into 11 classes, 38 sub-classes, and 119 alternatives. Nine criteria for selecting land uses were identified, expressed through 72 attributes that served as input information for 22 multicriteria methods, which, in most cases, were applied in combination of two or more.

1 July 2005 in Computers & Geosciences
Verified
Journal Article
Closed access
IKIoannis Kapageridis
Ioannis Kapageridis

10 September 2025 in Urban Science
Verified
Journal Article
Open access
PDF file
Christina-Ioanna PapadopoulouChristina-Ioanna Papadopoulou
Christina-Ioanna Papadopoulou
Stavros KalogiannidisStavros Kalogiannidis
Stavros Kalogiannidis
Dimitrios KalfasDimitrios Kalfas
Dimitrios Kalfas
GKGeorge Konteos
George Konteos
IKIoannis Kapageridis
Ioannis Kapageridis
Greece faces increasing exposure to natural hazards—particularly wildfires, floods, and earthquakes—driven by climatic, environmental, and spatial factors. This study systematically reviews 108 peer-reviewed publications and official reports, applying PRISMA methodology to evaluate the effectiveness of the national civil protection system. The analysis reveals localized progress, notably in earthquake preparedness due to strict building codes and centralized oversight, but also persistent systemic weaknesses. These include fragmented governance, coordination gaps across agencies, insufficient integration of spatial planning, limited local preparedness, and reactive approaches to disaster management. Case studies of major events, such as the 2018 Mati wildfires and 2023 Thessaly floods, underscore how communication breakdowns and delayed evacuations contribute to substantial human and economic losses. Promising developments—such as SMS-based early warning systems, joint training exercises, and pilot GIS risk-mapping tools—illustrate potential pathways for improvement, though their application remains uneven. Future priorities include strengthening unified command structures, enhancing prevention-oriented planning, investing in interoperable communication systems, and fostering community engagement. The findings position Greece’s civil protection as structurally capable of progress but in need of sustained, systemic reforms to build a resilient, prevention-focused framework for increasing disaster risks.

1 January 1998
Verified
Book Chapter
Closed access
PDF file
IKIoannis Kapageridis
Ioannis Kapageridis
BDBryan Denby
Bryan Denby

1 December 2015 in Computers & Geosciences
Verified
Journal Article
Closed access
IKIoannis Kapageridis
Ioannis Kapageridis

22 January 2003
Verified
Conference Paper
Closed access
IKIoannis Kapageridis
Ioannis Kapageridis
BDB. Denby
B. Denby
GHG. Hunter
G. Hunter
Ore grade estimation is a key aspect in the evaluation of a mineral deposit. In this paper an alternative approach to currently applied methods of ore grade estimation is presented. This alternative approach involves a modular neural network system integrated in a state of the art 3D resource modelling package. The need for a new method of ore grade estimation comes from the difficulties in applying conventional methods such as geostatistics. These methods require a lot of assumptions, knowledge, skills and time to be effectively applied while their results are not always easy to justify. The aim of the proposed system, called GEMNet II is to provide fast and reliable ore grade estimation, with minimum assumptions and minimum requirements for modelling skills. GEMNet II has been tested on a number of real deposits. The results obtained so far have shown that it can provide with a very fast and robust alternative to the existing time-consuming methodologies for ore grade estimation.