On a Two-Zone Approach to Solving the Problem of Detecting NEAs

In the current formulation of the asteroid and comet hazard (ACH) problem, it is considered necessary to detect a sufficiently large number (more than 90% of the total amount) of hazardous bodies that can collide with our planet. A vast majority of these bodies are near-Earth asteroids (NEAs). Based on the analysis of statistical characteristics of the NEA population, it has been shown that, on a practically significant time scale (~1000 years), the main danger is posed by NEAs of size 10–50 m, since they collide with the Earth more often than larger bodies. Consequently, the main practically significant task of counteracting the ACH is to detect such decameter-sized NEAs. They can can only be detected in close proximity, at distances of less than 0.05 AU from the Earth. The detection timescale is short, measured in hours (up to one day). This problem is still far from being solved. Larger bodies can be detected with more success. They can be detected at greater distances and, accordingly, the detection timescale is much longer. A rational approach to detecting NEAs has been proposed, the essence of which is that it is necessary to accelerate the development of instruments and methods to detect NEAs in the near zone. This is the most immediate challenge. At the same time, it is also necessary to continue work on searching for larger bodies in the far zone. These detection strategies require different technical means.

Authors

Institutions

Publication Details

Journal
Solar System Research
Published
2025-12-01
DOI
https://doi.org/10.1134/s0038094625600763
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On a Two-Zone Approach to Solving the Problem of Detecting NEAs

Б. М. Шустов
Solar System Research
Astro and Planetary Science
article

On a Two-Zone Approach to Solving the Problem of Detecting NEAs

Б. М. Шустов
article en

Abstract

In the current formulation of the asteroid and comet hazard (ACH) problem, it is considered necessary to detect a sufficiently large number (more than 90% of the total amount) of hazardous bodies that can collide with our planet. A vast majority of these bodies are near-Earth asteroids (NEAs). Based on the analysis of statistical characteristics of the NEA population, it has been shown that, on a practically significant time scale (~1000 years), the main danger is posed by NEAs of size 10–50 m, since they collide with the Earth more often than larger bodies. Consequently, the main practically significant task of counteracting the ACH is to detect such decameter-sized NEAs. They can can only be detected in close proximity, at distances of less than 0.05 AU from the Earth. The detection timescale is short, measured in hours (up to one day). This problem is still far from being solved. Larger bodies can be detected with more success. They can be detected at greater distances and, accordingly, the detection timescale is much longer. A rational approach to detecting NEAs has been proposed, the essence of which is that it is necessary to accelerate the development of instruments and methods to detect NEAs in the near zone. This is the most immediate challenge. At the same time, it is also necessary to continue work on searching for larger bodies in the far zone. These detection strategies require different technical means.

Solar System ResearchVol. 59(7)
Institute of Astronomy (RU), Institute of Applied Astronomy (RU)
Openalex Percentile: Top 73%
Astro and Planetary Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.