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Journals / Resilience / 2026 / Cilt: 9 Sayı: 2

Advancements in Process Control Methodologies for CBRN Decontamination Techniques: A Review

KBRN Dekontaminasyon Teknikleri için Proses Kontrol Metodolojilerindeki Gelişmeler: Bir İnceleme

Fatih Taşcioglu(TÜRKİYE Cumhuriyeti Sağlık Bakanlığı)0000-0002-9355-5413
Atakan Konukbay(Havelsan)0000-0003-2404-0253
Hüseyin Karabacak(PAMUKKALE ÜNİVERSİTESİ)0009-0004-1097-4674
Ahmet Koluman(PAMUKKALE ÜNİVERSİTESİ, TEKNOLOJİ FAKÜLTESİ, BİYOMEDİKAL MÜHENDİSLİĞİ BÖLÜMÜ)0000-0001-5308-8884
Journal
Resilience
Pages
357–370
Publication Date
2026-02-08
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This paper emphasizes the need for ongoing research and development in these areas to improve preparedness and response capabilities for CBRN incidents, ultimately enhancing public safety and minimizing the impact of such events.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Chemical, biological, radiological, and nuclear (CBRN) incidents pose significant risks to public safety and require effective decontamination techniques to mitigate their impact.
📊
Key Findings & Data:Automation in decontamination processes can reduce human error and increase operational efficiency.
💡
Conclusion & Impact:This paper emphasizes the need for ongoing research and development in these areas to improve preparedness and response capabilities for CBRN incidents, ultimately enhancing public safety and minimizing the impact of such events.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:KBRN · Dekontaminasyon · Proses Kontrolü

Abstract

Chemical, biological, radiological, and nuclear (CBRN) incidents pose significant risks to public safety and require effective decontamination techniques to mitigate their impact. Process control methodologies play a crucial role in ensuring the successful execution of decontamination operations. This review paper aims to explore the current state of process control methodologies in CBRN decontamination and highlight the potential for integrating new technologies to enhance their effectiveness. By examining existing literature, this review identifies key areas where advancements can be made, including real-time monitoring, automation, data analytics, and intelligent decision-making systems. Real-time monitoring technologies, such as advanced sensors and surveillance systems, can provide critical data for timely and informed responses. Automation in decontamination processes can reduce human error and increase operational efficiency. Data analytics enables the processing of large volumes of information to predict and respond to CBRN threats more effectively. Intelligent decision-making systems, including artificial intelligence and machine learning, can optimize decontamination strategies based on real-time data. Through the incorporation of these technologies, the process control methodologies can be transformed to enable faster, more efficient, and safer CBRN decontamination operations. This paper emphasizes the need for ongoing research and development in these areas to improve preparedness and response capabilities for CBRN incidents, ultimately enhancing public safety and minimizing the impact of such events.

Özet

Kamu güvenliği için önemli riskler oluşturan kimyasal, biyolojik, radyolojik ve nükleer (KBRN) olayların etkilerini hafifletmek için etkili dekontaminasyon tekniklerine ihtiyaç duyulmaktadır. Dekontaminasyon operasyonlarının başarılı bir şekilde yürütülmesini sağlamada, süreç kontrol yöntemleri kritik bir rol oynamaktadır. Bu derleme çalışması, KBRN dekontaminasyonu süreç kontrol yöntemlerini incelemeyi ve bunların etkinliğini artırmak için yeni teknolojilerin entegrasyon potansiyelini vurgulamayı amaçlamaktadır. Mevcut literatür araştırılarak, gerçek zamanlı izleme, otomasyon, veri analitiği ve akıllı karar verme sistemleri gibi alanlardaki gelişmeler incelenmiştir. Gelişmiş sensörler ve gözetim sistemleri gibi gerçek zamanlı izleme teknolojileri, zamanında ve doğru yanıtlar için kritik veriler sağlayabilmektedir. Dekontaminasyon süreçlerinde otomasyon, insan hatasını azaltabilir ve operasyonel verimliliği artırabilir. Veri analitiği, büyük bilgi yığınlarının işlenmesini sağlayarak KBRN tehditlerine daha etkili bir şekilde yanıt verilmesini mümkün kılabilir, yapay zeka ve makine öğrenmesi gibi akıllı karar verme sistemleri ise gerçek zamanlı verilere dayanarak dekontaminasyon stratejilerini optimize edebilir. Bu teknolojilerin entegrasyonu ile süreç kontrol yöntemleri daha hızlı, daha verimli ve daha güvenli KBRN dekontaminasyon operasyonlarını mümkün kılacak şekilde dönüştürülebilir. Bu çalışma, KBRN olaylarına hazırlık ve yanıt yeteneklerini geliştirmek için bu alanlarda devam eden araştırma ve geliştirmeye olan ihtiyacı vurgulayarak, kamu güvenliğini artırmayı ve bu tür olayların etkilerini en aza indirmeyi hedeflemektedir.

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Cite This Article

Taşcioglu, F., Konukbay, A., Karabacak, H., Koluman, A. (2026). Advancements in Process Control Methodologies for CBRN Decontamination Techniques: A Review. Resilience, Cilt: 9 Sayı: 2, 357–370. https://doi.org/10.32569/resilience.1530724

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