{"id":3442,"date":"2025-08-08T14:20:48","date_gmt":"2025-08-08T09:20:48","guid":{"rendered":"https:\/\/ionos.kz\/development-of-a-multifunctional-ground-and-space-monitoring-and-early-warning-system-for-natural-and-human-induced-technogenic-emergencies\/"},"modified":"2026-05-08T15:53:35","modified_gmt":"2026-05-08T10:53:35","slug":"development-of-a-multifunctional-ground-and-space-monitoring-and-early-warning-system-for-natural-and-human-induced-technogenic-emergencies","status":"publish","type":"post","link":"https:\/\/ionos.kz\/en\/development-of-a-multifunctional-ground-and-space-monitoring-and-early-warning-system-for-natural-and-human-induced-technogenic-emergencies\/","title":{"rendered":"Development of a multifunctional ground-and-space monitoring and early warning system for natural and human-induced (technogenic) emergencies."},"content":{"rendered":"\n

Scientific and Technical Program IRN BR24992865<\/strong>, implementation period 2024\u20132026.<\/p>\n\n

Head:<\/strong> N.M. Salikhov, PhD in Physics and Mathematics.<\/p>\n\n

Within the framework of this program, it is proposed to further develop the previously established automated emergency monitoring system. This will be achieved by creating a Data Reception Center for rapid emergency monitoring, equipped with its own ground receiving station, expanding monitoring domains, and establishing an early warning system based on all existing developments.Currently, the system monitors and forecasts fires, floods, oil pollution in the Caspian Sea, and active tectonic movements. The existing methods and algorithms for automated processing of ground and satellite data will be refined using Artificial Intelligence (AI) technologies and the implementation of an analytical framework for Open Data Cube (ODC). This will enable Big Data analysis for more flexible use and application across specific classes of emergency monitoring and disaster relief tasks. As an expansion of monitoring capabilities, subsystems will be created for monitoring and forecasting greenhouse gas emissions and controlling the radiation background of the surface atmosphere based on radionuclide content. <\/p>\n\n

In addition, in light of recent strong earthquakes near the city of Almaty, the program aims to address the challenge of identifying ionospheric precursors of seismic events and evaluating the applicability of machine learning and neural networks to build AI-driven models for short-term forecasting.<\/p>\n\n

The primary outcome of the proposed project will provide the capability to develop recommendations for emergency prevention and ensure timely warnings of approaching threats\u2014establishing alert channels and methods for visualizing the obtained results.<\/p>\n\n

Program Goal<\/strong><\/p>\n\n

The goal of the program is to develop automated systems for ground-and-space monitoring and early forecasting of natural and technogenic (human-induced) emergencies and risks based on advanced scientific and technical solutions. This includes the establishment of a Data Reception and Processing Center for rapid emergency monitoring and forecasting, the development of methods for assessing anomalous phenomena preceding earthquakes, and the construction of an ‘early warning system’ for floods, fires, and environmental threats (including oil spills in the Caspian Sea and greenhouse gas emissions). Additionally, the program focuses on developing innovative machine learning methods to enhance the accuracy and timeliness of earthquake forecasting, ultimately aiming to minimize risks and improve the safety of the population and infrastructure in seismically active regions.<\/p>\n\n

Program Objectives<\/strong><\/p>\n\n

Block 1. Establishment of a Data Reception Center for rapid emergency monitoring and forecasting: <\/p>\n\n

1.1 Establishment and organization of the Data Reception Center to provide rapid information (acquisition of ground infrastructure equipment, installation and debugging of the satellite imagery receiving station, and optimization of data storage and server access);<\/p>\n\n

1.2 Development of algorithms for raw satellite data preprocessing;<\/p>\n\n

1.3 Implementation of an analytical framework for analyzing large datasets of spatial satellite data for selected areas.<\/p>\n\n

The completion of the first block of tasks will improve the efficiency and continuity of acquiring and analyzing ground-and-space data. This task is one of the fundamental components of building a multifactor system for monitoring and forecasting natural emergencies. <\/p>\n\n

Block 2. Development of scientific and technical foundations and methods for assessing anomalous phenomena preceding major earthquakes: <\/p>\n\n

2.1 Development of a methodology for monitoring geophysical fields within the lithosphere-atmosphere-ionosphere system to detect anomalous phenomena preceding major earthquakes;<\/p>\n\n

2.2 Development of scientific and technical foundations for satellite monitoring of contemporary Earth surface movements and displacements of buildings and structures in Almaty and adjacent territories, and identification of areas with anomalous tectonic movements and displacement values;<\/p>\n\n

2.3 Development of earthquake risk assessment methods based on the analysis of earthquake epicenter catalogs combined with geological and geophysical data using machine learning.<\/p>\n\n

The completion of the second block of tasks will lay the foundation for identifying ionospheric precursors of seismic events, satellite monitoring of Earth surface movements and building displacements, and the applicability of AI neural networks with machine learning for seismic hazard assessment, which are planned for future integration into the early warning system.<\/p>\n\n

Block 3. Construction of an “early warning system”: <\/p>\n\n

3.1 Construction of a subsystem for automated monitoring and forecasting of wildfires using ground-and-space data;<\/p>\n\n

3.2 Construction of a subsystem for automated monitoring and forecasting of floods using ground-and-space data;<\/p>\n\n

3.3 Construction of a subsystem for monitoring and forecasting environmental pollution (oil spills) in the Caspian Sea and the extent of their impact on the diversity of flora and fauna;<\/p>\n\n

3.4 Construction of a subsystem for automated monitoring and forecasting of greenhouse gas emissions (methane, carbon dioxide, etc.);<\/p>\n\n

3.5 Construction of a subsystem for monitoring natural and anthropogenic radioactivity of the surface atmosphere in the Almaty metropolitan region.<\/p>\n\n

The completion of the third block of tasks will provide competent authorities with the ability to develop recommendations for emergency prevention and timely warning of approaching threats. Within this block, the establishment of alert channels and methods for displaying the obtained results will be finalized. <\/p>\n\n

Expected results:<\/strong><\/p>\n\n

A data reception center for operational emergency monitoring, equipped with hardware, certified specialists, and established emergency interaction algorithms;<\/p>\n\n

\u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u0440\u0430\u043d\u043d\u0435\u0433\u043e \u043f\u0440\u0435\u0434\u0443\u043f\u0440\u0435\u0436\u0434\u0435\u043d\u0438\u044f \u00abearly warning system\u00bb \u0434\u043b\u044f \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043e\u0440\u0433\u0430\u043d\u043e\u0432 \u043d\u0430 \u0440\u0430\u0437\u043d\u044b\u0445 \u0443\u0440\u043e\u0432\u043d\u044f\u0445 \u0441 \u0433\u0440\u0430\u0434\u0430\u0446\u0438\u0435\u0439 \u0441\u0442\u0435\u043f\u0435\u043d\u0438 \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 \u043f\u043e \u0427\u0421;<\/p>\n\n

An early warning system to notify executive authorities at various levels, with a gradation of emergency hazard levels;<\/p>\n\n

Results obtained for 2024:<\/strong><\/p>\n\n

The structure of the Center for Data Reception and Processing for operational monitoring has been developed, along with a block diagram for data storage and server access. Technical specifications for the necessary equipment have been prepared. An experimental methodology has been developed for selecting ionizing radiation recording tools in wells, and a recording station for gamma-ray flux intensity has been established in the Almaty region. Reconnaissance and technical assessments of GNSS reference points in Almaty and adjacent territories from earlier monitoring stages (1995\u20132005) have been conducted. Primary results from these early GNSS monitoring stages have been recalculated into the updated ITRF14_EURA coordinate system. An analysis of various machine learning neural network algorithms used for earthquake classification was performed. A model architecture based on Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN) has been constructed, accounting for the unique regional characteristics of the Republic of Kazakhstan. Algorithms for the automated generation of input data for emergency monitoring and forecasting subsystems have been developed. A unified information database of up-to-date Remote Sensing Data (RSD) has been created, which is essential for ongoing monitoring and emergency forecasting. <\/p>\n\n

Project Implementers:<\/p>\n\n

Salikhov Nazyf Munipovich <\/td>Researcher ID Web of Science: DPY-6872-2022, ORCID ID: 0000-0002-6150-0207, Author ID \u0432 Scopus: 6602291209. <\/td><\/tr>
Nurtas Marat <\/td>Researcher ID Web of Science: JWP-4213-2024, ORCID ID: 0000-0003-4351-0185, Author ID \u0432 Scopus: 57189710532<\/td><\/tr>
Vilyaev Andrey Viktorovich<\/td>Researcher-ID: https:\/\/orcid.org\/0000-0002-8854-5691 Web of Science ResearcherID: EDF-9621-2022 Scopus-ID: 57194505192<\/td><\/tr>
Dedova Tatyana Vladimirovna<\/td>Researcher-ID: https:\/\/orcid.org\/0000-0001-5310-6931 Web of Science ResearcherID: AAE-4060-2021 Scopus-ID: 57222987462<\/td><\/tr>
Chepashev Daniker Vasilievich,<\/td>Web of Science ResearcherID: IRV-2661-2023<\/td><\/tr>
Eliseeva Alena Viktorovna<\/td>Researcher-ID: https:\/\/orcid.org\/0000-0002-6161-6293 Web of Science ResearcherID: AAS-6088-2020 Scopus-ID: 57200140989<\/td><\/tr>
Balakay Larisa Anatolyevna<\/td>Researcher-ID: https:\/\/orcid.org\/0000-0001-6660-4796 Web of Science ResearcherID: AAC-1177-2022 Scopus-ID: 6504367336<\/td><\/tr>
Pak Galina Davidovna<\/td>Researcher-ID: https:\/\/orcid.org\/0000-0002-3359-7494 Web of Science ResearcherID: ABC-6871-2020 Scopus-ID: 56135169600<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Scientific and Technical Program IRN BR24992865, implementation period 2024\u20132026. Head: N.M. Salikhov, PhD in Physics and Mathematics. Within the framework of this program, it is proposed to further develop the previously established automated emergency monitoring system. This will be achieved by creating a Data Reception Center for rapid emergency monitoring, equipped with its own ground […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[292],"tags":[],"class_list":["post-3442","post","type-post","status-publish","format-standard","hentry","category-projects"],"acf":[],"_links":{"self":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3442","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/comments?post=3442"}],"version-history":[{"count":1,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3442\/revisions"}],"predecessor-version":[{"id":3443,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3442\/revisions\/3443"}],"wp:attachment":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/media?parent=3442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/categories?post=3442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/tags?post=3442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}