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Biotic Community: Air

A concept for a system combining nature and technology to monitor and restore the air environment.

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A concept for a system combining nature and technology to monitor and restore the air environment.

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EQUILIBRIUM — ECO-PPA — SPECZASHCHITA

Project ORION22:22 | Version 1.0

26 August 2026

SUMMARY FOR DECISIONS

"Biocenosis: Air" transfers atmospheric monitoring from the mode of fixing individual excesses to the mode of early warning, determining the likely source, forecasting the transfer, assessing the impact and verifying the result of the measures taken. The system complements, but does not replace, state environmental, sanitary and hydrometeorological control.

The scientifically accurate core of the project is the monitoring of the aerobic, bioaerosols and physico-chemical matrix of the air environment. The term "biocenosis" is retained as a strong project name, with the document directly delineating the detection of a biological marker, viability, activity, infectiousness, and real risk.

Six management issues

  1. What is happening to the air now?
  2. Is the change natural, seasonal, or dangerous?
  3. Where is the likely source?
  4. Where and at what speed does the impact move?
  5. Who and what ecosystems are at risk?
  6. What action is necessary and has it produced a measurable result?

Document structure

  1. The meaning of the project
  2. Scientific framework and working definition
  3. Mission, purpose and objectives
  4. Principles of the system
  5. Object and limits of observation
  6. The observation circuit
  7. Indicators and normative benchmarks
  8. Measuring network
  9. Data Architecture EQUILIBRIUM
  10. Atlas of Threats
  11. Algorithm of reaction
  12. ECO-PPA as implementation contour
  13. Distribution of roles
  14. Pilot for 12 months
  15. KPI and Evidence
  16. Risks and constraints
  17. Scaling
  18. Final decision and sources

1. The meaning of the project

Traditional air monitoring is more often organized according to individual departmental contours: meteorology, chemical pollutants, sanitary supervision, biological observations and enterprise data exist nearby, but are not always linked into a single causal picture. The project creates a cross-cutting management chain:

  • to observe physical, chemical and biological factors simultaneously;
  • distinguish between seasonal background, local anomaly and long-distance transfer;
  • associate the measurement with a likely source and a sensitive receptor;
  • to predict the development of the situation and the time of reaching vulnerable objects;
  • formalize measures as verifiable projects ECO-PPA;
  • check the effect of the intervention on the data before, after and in the control area.

2. Scientific framework and working definition

2.1. Why the term requires explanation

In strict ecology, biocenoses are a collection of interacting populations inhabiting a particular biotope. For a large part of organisms, the atmosphere serves as a temporary medium of transport. Therefore, it is impossible to declare the entire atmosphere as a single proven self-sustaining biocenosis. More precise scientific terms: aerobics, aerobics, atmospheric microbiome, and bioaerosol.

2.2. Working definition

"Biocenosis: Air" is the project name of a dynamic natural and man-made system, including aerobic and biological particles of the air environment, the physical and chemical matrix of the atmosphere, sources, processes of transfer and transformation, objects of influence, as well as digital and organizational mechanisms of risk prevention and management.

An aerobiome is a dynamic set of microorganisms in a given airspace, changing depending on the season, time of day, meteorological conditions, type of surface and the origin of air masses. Studies show reproducible daily and seasonal changes in the composition of the atmospheric microbiome, as well as long-range transport of microorganisms [8–12].

3. Mission, purpose and objectives

Strategic objective: To ensure continuous monitoring, forecasting and managed recovery of air quality and associated natural systems based on evidence.

  • to form a multi-component picture of the air condition;
  • identify chemical, physical and biological abnormalities;
  • identify likely sources and routes of transfer;
  • forecast the situation on the horizons 6, 24 and 72 hours;
  • assess the impact on the population, plants, animals and microorganisms;
  • create targeted warning and response scenarios;
  • to form passports of the air environment of the territories;
  • create an evidence base ECO-PPA and verify the result of each intervention;
  • scale solutions from individual facility to region and cross-border space.

4. Principles of the system

  • Scientific correctness: reproducible methods, quality control, field and laboratory controls.
  • Harm prevention: an early signal is more valuable than a late fixation of damage.
  • Multilevel: Continuous sensors are complemented by reference instruments, laboratories and remote data.
  • Separation of statuses: observation, analytical hypothesis and confirmed conclusion are marked separately.
  • Uncertainty: next to the forecast and index, a level of trust is published.
  • Person in the loop: mandatory decisions are made by an authorized person or body.
  • Compatibility: the system is built into the existing state and scientific contours.
  • Evidence: Each activity is related to the starting level, purpose and verification of the result.
  • Openness and protection: Anonymized environmental data is opened, sensitive information is protected.
  • Non-repression of life: the goal is to manage hazardous sources and exposure, not to sterilize the outside air.

5. Object and limits of observation

The main object is the surface layer of the atmosphere and the physical, chemical and biological components circulating in it, associated with a specific territory, sources and receptors of influence. Each program specifies a geographic boundary, altitude range, season, observation period, and receptor class.

Spatial levels

  1. Point: school, hospital, residential yard, workplace or enterprise.
  2. Microzone: a neighborhood, industrial site, park or agricultural facility.
  3. Municipal area: city or district.
  4. Air pool: an area connected by common air flows.
  5. Regional network: municipal, industrial and background points.
  6. Interregional and transboundary level: long-range transport of smoke, dust, allergens and pollutants.

Functional boundaries

Outdoor air, indoor air and human breathing area do not mix in one array without marking. The internal environment is taken into account as a conjugate module, because the sources, standards and management methods are different. The system does not replace clinical diagnosis, epidemiological investigation and official authority of the authorities.

6. The observation circuit

LevelWhat is observedManagement result
0. ContextRelief, land use, population, sources, firesMap of sources and receptors
1. PhysicsTemperature, humidity, pressure, wind, precipitation, radiationConditions of transport and dispersion
2. AerosolPM1, PM2.5, PM10, particle number and size, black carbonIntensity and type of episode
3. ChemistryNO₂/NOx, SO₂, CO, O₃, NH₃, VOCs and source markersProfile of pollution
4. BiologyPollen, spores, bacteria, fungi, allergens, endotoxinsAerobiome and biological load
5. EcosystemsPrecipitation, plant condition, phenology, bioindicatorsEnvironmental effect
6. ExpositionPopulation, time of exposure, sensitive objectsVulnerability map
7. ManagementEvents, decisions, timing, measures, residual riskProof of result

7. Indicators and normative benchmarks

7.1. Baseline indicator system

BlockBasic indicatorsExpanded indicators
MeteorologyTemperature, humidity, pressure, wind, precipitationRadiation, turbulence, mixing height
AerosolPM1, PM2.5, PM10Ultrafine particles, dimensions, black carbon
GasesNO₂/NOx, SO₂, CO, O₃, NH₃VOCs and profile substances
AerobiotaPollen, spores, total biological loadBacteria, fungi, metagenomics, target markers
BioriskAllergens, endotoxinViability, toxins, AMR-markers
EffectPlant sedimentation and conditionPhenology, biodiversity, bioindication
ExpositionPopulation and time in the areaModels of vulnerable groups without disclosure
SystemCompleteness and availability of dataPrediction accuracy, false alarms, reaction time

7.2. WHO guidelines 2021

The WHO recommendations are a health-preventive guideline and do not replace national standards. In the official Russian assessment, the current sanitary requirements are applied; before submitting the document, it is necessary to check the current edition of SanPiN 1.2.3685-21 [1, 6].

ComponentLong-term orientationShort-term orientation
PM2.55 ug/m³15 ug/m³
PM1015 ug/m³45 ug/m³
NO₂10 ug/m³25 ug/m³
O₃60 ug/m³ — Peak Season100 ug/m³ — maximum 8-hourly average
SO₂—40 ug/m³
CO—4 mg/m³

Note: WHO daily levels are reported as the 99st percentile, not the absolute maximum. For ozone, a separate logic of the peak season and the eight-hour average [1] is used.

7.3. Indices

  1. Physical and chemical air quality index;
  2. Aerobiota status index;
  3. Exposure safety index;
  4. Sustainability index and regenerative capacity of the territory.

8. Measuring network

The network is built on the principle of "reference kernel" + Distributed nodes + Laboratory + Mobile Outline + "Model and Aerospace Data." Low-budget sensors do not receive regulatory measurement status automatically: co-location with support equipment, correction of humidity and temperature influences, maintenance and recalibration are necessary3, 5].

  • one reference-level reference station or integration with an existing one;
  • 10–15 distributed sensor nodes;
  • 3–5 bioaerosol and pollen sampling posts;
  • one background control point;
  • mobile measuring complex and route surveys;
  • reference laboratory and confirmatory laboratories;
  • episodic vertical profiling;
  • satellite, model and meteorological data.

Methods of biological contour

Pollen and spores are determined by microscopy or automated methods; bacteria and fungi by quantitative PCR, 16S/ITS-profiling and, according to a reasonable program, metagenomics. Viability, cultivability, metabolic activity, toxigenicity and infectiousness are evaluated by separate methods. Field, transport and laboratory controls are mandatory for low-mass samples.

9. Data Architecture EQUILIBRIUM

LayerFunction
1. ReceiptStationary and mobile devices, laboratories, remote sensing, weather data, bioindication.
2. Border processingCheck the range, state of the device, time, communication and primary anomalies.
3. IntegrationUnits of measurement, directories of substances, taxa, sources and territories.
4. StorageTime series, geodata, laboratory results, spectra, images and model versions.
5. Semantic HypergraphConnection of territory, station, sample, substance, taxon, source, receptor, event, decision and result.
6. AnalyticsAnomalies, reverse trajectories, source classification, exposure, risk and digital twin.
7. ManagementSituation screen, risk card, notifications, event card, public impersonal card.

Passport Measurement

  • unique identifier, date, time, coordinates and height;
  • Method, unit of measure, detection limit and calibration;
  • uncertainty assessment, quality sign and algorithm version;
  • origin of data and full log of changes;
  • for the sample - selector, packaging, transport and storage chain.

10. Atlas of Threats

ScenarioSignalsMain actions
Industrial emissionsSpecific gases, particles or elements + windConfirmation, localization, verification of the source
Transport EpisodeNOx, CO, black carbon, ultrafine particlesProtection of objects, flow management
Fire and smokePM2.5, CO, organic components, satellite hearthForecasting, warning, filtration
DustPM10, mineral composition, dry weatherDust and work regime
InversionWeak wind, low mixing layer, accumulationPrevention and temporary reduction of emissions
Pollen and DisputesTaxa growth + phenology + weather conditionsAllergenic forecast and filtration modes
Agriculture/wasteNH₃, organic dust, endotoxin, biomarkersRe-selection and source survey
Unusual BiosignalTarget Marker ClusterClosed circuit, reference confirmation, competent authorities
Long-distance transferSynchronous growth in several territoriesInterregional forecast and data exchange
Data substitutionImpossible values, mismatch, signature violationNode isolation, audit, reservation

11. Algorithm of reaction

Step 1. Detect

Normative excess, deviation from the seasonal background, a combination of signals or a forecast of dangerous development.

Step 2. Check the quality

Instrument health, calibration, humidity, neighboring nodes and meteorological plausibility.

Step 3. Verify

Independent method, re-selection, reference laboratory and verification of operations at the source.

Step 4. Assess the risk

Hazard × exposure × vulnerability; trust and urgency are specified separately.

Step 5. Set Source

Wind, reverse trajectories, source register, profiles and mobile survey.

Step 6. Predict

Area of impact and sensitive objects on the horizon 6, 24 and 72 Hours.

Step 7. Make a decision

Green, yellow, orange or red; action approved by competent authority.

Step 8. Check the effect

Before/after comparison, control area, comparable weather and residual risk.

Step 9. Close and learn

The final card of the event, the reason, the effectiveness, the update of the model and regulations.

12. ECO-PPA as implementation contour

ECO-PPA converts observations into funded prevention and recovery packages. Each packet receives a passport linking the problem, the baseline, the solution, the resources, the deadline, and the proof of outcome.

  1. problem, source and baseline;
  2. target result and technical or organizational solution;
  3. responsible participants and the amount of resources;
  4. funding scheme and outcome indicators;
  5. methodology of monitoring, reporting and verification;
  6. terms, grounds for continuation and stop conditions;
  7. residual risk and data access rules.

13. Distribution of roles

ParticipantMain role
EQUILIBRIUMUnified data model, hypergraph, digital twin, forecast, register of events and evidence.
ECO-PPAIntervention projects, resource pooling, KPI, result monitoring and independent verification.
SPECZASHCHITAExecution operator: surveys, network, mobile groups, interaction with enterprises and events.
AuthoritiesOfficial decisions, warnings and actions are strictly within the competence.
Scientific CouncilMethods, thresholds, scientific correctness and revision of models.
LabsConfirmatory research, quality control and storage chain.
Owners of SourcesData, prevention, elimination of causes and implementation of prescribed measures.
Independent VerifierChecking the result of the events ECO-PPA.
IACInterdepartmental analytics, decision-making and strategic scaling.

14. Pilot for 12 months

The pilot is selected on the territory where residential, natural, transport and production zones are combined, there are sensitive objects, a background point, a laboratory partner and the readiness of the authorities. One year covers the seasonal cycle, but does not form a multi-year climate norm.

MonthsStageKey worksResult
1–2DesignSource and receptor map; protocol; quality plan; agreementsPilot's passport
3–4DeploymentInstallation, laboratories, platform, co-location of sensorsWorking Outline
5–6InputCalibration, background maps, thresholds, test notificationsSuitability of data
7–8AnalysisSeasonal profile, sources, exposure, transfer modelTerritory model
9–10Interference2–3 projects: dust, source, filtration or pollenProof of manageability
11Exercises and AuditChemical and biological scenarios, reaction testingOperational readiness
12ResultReport, economics, standards and architecture of the second stageMultiplier Package

Proposed pilot areas

  • the background natural point;
  • residential and public area;
  • transport corridor;
  • industrial or municipal area;
  • agricultural facility;
  • A sensitive receptor is a school, hospital, or social institution.

15. KPI and evidentiary value

Below are the project targets for discussion. They are approved after the survey of the territory, the choice of equipment and the coordination of the methodology.

BlockProject objectiveMethod of confirmation
Technical≥90% Validated data of the reference contour; ≥95% Mandatory MetadataJournal of Quality and Audit
Scientific≥80% significant events confirmed by independent channelReference-check
SourcesSource class defined for a minimum of 70% significant episodesTrajectories and profiles
ForecastMain impact area projected at 6 hoursComparison of forecast and fact
OperationsInitial evaluation of the orange event — up to 30 minutesEvent Log
InterferenceAt least three packages ECO-PPABefore/after/control
ReadinessAt least two comprehensive exercisesIndependent audit

16. Risks and constraints

RiskControl measure
Controversy of the termThe public name is retained; aerobics and bioaerosol are used in TK.
Sensor ErrorsCo-location, calibration, wet correction and standby measurements.
DNA = DangerThe presence, viability, activity and infectivity are separately indicated.
One Seasonal CycleContinued monitoring; ban on conclusions about the long-term trend.
False alarmsMulti-step validation and mandatory level of trust.
Conflict of authorityThe responsibility matrix and the agreement before launch.
PanicUnified protocol of risk communication; separation of pre- and confirmed signal.
Sensitive dataAccess Delimitation, Logging, and Protected Outline.
Data substitutionDigital signature, reservation and anomaly control.
Dependence on supplierOpen interfaces, export and data portability.
Exaggerated effectScenario evaluations and independent verification.

17. Roadmap for scaling

StageTimeframeResult
1. Methodology0–3 monthsGlossary, indicators, data model, instruments, laboratories, regulations and template ECO-PPA.
2. Pilot4–15 monthsFull seasonal cycle, digital twin, interventions, audit and replication package.
3. Network of Pilots16–30 monthsCity, industry, agriculture, natural and northern territories.
4. Regional Standard31–48 monthsSingle center, integration of departments, exchange standard and inter-municipal scenarios.
5. National outline49–60 monthsNetwork of air pools, GASMP "EQUILIBRIUM" and international cooperation.

18. Final decision and sources

18.1. Launch Solution

  1. approve the two-level name: "Biocenosis: Air" / "Monitoring of aerobic and biological factors of air quality";
  2. determine the customer of the pre-project stage and the owner of the result;
  3. choose a pilot territory and a reference laboratory;
  4. 60 days to prepare a scientific protocol, a map of sources and receptors, network architecture and data quality plan;
  5. Agree on a matrix of authority and response rules;
  6. launch 12-month pilot with independent verification and packages ECO-PPA.

18.2. Status of the document

The document is conceptual and is intended for pre-project discussion. Threshold values, equipment composition, legal model, budget and official regulations are approved after the territory is surveyed, consultations with authorized bodies and verification of current regulatory requirements.

18.3. Main sources

[1] WHO. Global Air Quality Guidelines (2021). https://www.who.int/publications/i/item/9789240034228

[2] WMO. Global Atmosphere Watch Programme. https://community.wmo.int/site/knowledge-hub/programmes-and-initiatives/global-atmosphere-watch-gaw-programme

[3] UNEP. GEMS/Air. https://www.unep.org/topics/environment-under-review/gems-air

[4] Copernicus Atmosphere Monitoring Service. Global atmospheric composition forecasts. https://ads.atmosphere.copernicus.eu/datasets/cams-global-atmospheric-composition-forecasts

[5] European Environment Agency. European Air Quality Index. https://airindex.eea.europa.eu/AQI/index.html

[6] SanPiN 1.2.3685-21. Official publication. https://publication.pravo.gov.ru/Document/View/0001202102030022

[7] Roshydromet. Air pollution status yearbooks. https://www.meteorf.gov.ru/product/infomaterials/ezhegodniki/

[8] Gusareva et al. Short-timescale dynamics of the airborne microbiome. PNAS, 2019. https://doi.org/10.1073/pnas.1908493116

[9] Gusareva et al. Seasonal and diurnal variations of airborne microbiomes in Western Siberia. Scientific Reports, 2020. https://doi.org/10.1038/s41598-020-78604-8

[10] Mayol et al. Long-range transport of airborne microbes over the global tropical and subtropical ocean. Nature Communications, 2017. https://doi.org/10.1038/s41467-017-00110-9

[11] Vaïtilingom et al. Potential impact of microbial activity on the oxidant capacity and organic carbon budget in clouds. PNAS, 2013. https://doi.org/10.1073/pnas.1205743110

[12] Archer et al. Air mass source drives bacterial and fungal community composition above the Great Barrier Reef. ISME Journal, 2020. https://doi.org/10.1038/s41396-019-0555-0

[13] WHO, FAO, UNEP, WOAH. One Health Joint Plan of Action. https://www.who.int/publications/i/item/9789240059139

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BIOCENOSIS OF AIRBiocenosis_Air_Presentation.pptx · web text

Aerobiom • Quality of environment • Early Warning

EQUILIBRIUM — ECO-PPA — SPECZASHCHITA

ORION22:22 | Version 1.0 | 26.08.2026

From measuring pollution to managing the viability of the territory

Air is a medium of communication, not a void.

SCIENTIFIC AND CRAFTS CONCEPT

ATMOSPHERE

SOURCE

RECEPTOR

Gases • Particles • Drops

pollen • spores • microorganisms

Soil • Water • Plants

City • production

Human • Plants

animals • ecosystems

Air change is quickly becoming an effect - local or carried thousands of kilometers.

BIOCENOSIS: AIR

BIOCENOSIS: AIR

SCIENTIFIC AND CRAFTS CONCEPT

The public name is strong - the scientific core is accurate

PROJECT NAME

SCIENTIFIC OBJECT

Aerobiom

SCIENTIFIC RESERVATION

dynamic set of microorganisms in a given airspace

DNA

≠ Viability

≠ activity

≠ Infectious

Bioaerosol

biological particles, including pollen, spores and inanimate fragments

BIOCENOSIS: AIR

Disjointed data captures the fact - but does not close the cycle

SCIENTIFIC AND CRAFTS CONCEPT

CHEMISTRY

METEO

BIOLOGY

PM • gases • VOC

wind • precipitation • inversion

pollen • spores • markers

SOURCE

ACTION

EFFECT

Control space

Need a single chain: measurement → source → forecast → action → proven result

BIOCENOSIS: AIR

New logic closes the observation in action

SCIENTIFIC AND CRAFTS CONCEPT

SOURCE

TRANSFER

EXPOSITION

EFFECTS

TRAINING

EFFECT

ACTION

RISK

Each cycle ends with a result check and updates the territory model.

BIOCENOSIS: AIR

Eight layers form a single air passport

SCIENTIFIC AND CRAFTS CONCEPT

CONTACTS

relief • sources • receptors

PHYSICS

temperature • wind • humidity • precipitation

AEROSOL

PM1 • PM2.5 • PM10 • black carbon

CHEMISTRY

NO₂ • O₃ • SO₂ • CO • NH₃ • VOC

BIOLOGY

Pollen • Disputes • bacteria • mushrooms • Allergens

ECOSYSTEMS

Deposition • plants • phenology • bioindicators

EXPOSITION

Population • time • vulnerable objects

GOVERNANCE

Event • solution • measure • residual risk

BIOCENOSIS: AIR

Scale - from the breathing zone to the air pool

SCIENTIFIC AND CRAFTS CONCEPT

POINT

School • Hospital • Enterprise

MICROZONE

district • park • industrial site

CITY

Municipal Map of Sources

AIR POOL

Unified Flows and Transfer

REGION / TRANSBOUNDARY

long-range smoke • dust • allergens

Vertical: Breath → roof → profile → satellite

BIOCENOSIS: AIR

Indicators combine chemistry, aerosol and biology

SCIENTIFIC AND CRAFTS CONCEPT

PHYSICS + METEO

CHEMISTRY

wind • humidity • radiation

Mixing layer

NO₂ • O₃ • SO₂ • CO

NH₃ • VOC

PASSPORT

AIR

AEROSOL

BIOLOGY

PM1 • PM2.5 • PM10

Dimensions • black carbon

pollen • spores • allergens

bacteria • mushrooms

Normative excess and confirmed biorisk are shown separately - the average index does not hide them.

BIOCENOSIS: AIR

The network grows from a reference kernel to distributed nodes

SCIENTIFIC AND CRAFTS CONCEPT

BIOAIROZOLE

LABORATORY

CENTRAL Knots

3–5 posts

confirmation

10–15 points

DZZ + METEO

Satellite •

REFERENT

NUCLEAR

FONDON POINT

MOBILE CONTOUR

control of the territory

routes • sources

BIOCENOSIS: AIR

EQUILIBRIUM Connects measurement with source and solution

SCIENTIFIC AND CRAFTS CONCEPT

RECEIVED

Sensors • Laboratory •

MEASUREMENT

QUALITY

Calibration • Range • Time

INTEGRATION

units • directories • geodata

HYPERGRAPH

sample ↔ source ↔ receptor ↔ event

ANALYTICS

anomaly • trajectory • exposure

FORECAST

6 • 24 • 72 Hours + Trust

GOVERNANCE

notification • measure • effect

DECISION

BIOCENOSIS: AIR

Atlas of threats turns an episode into a testable script

SCIENTIFIC AND CRAFTS CONCEPT

EMISSIONS

Specific gases + wind

SIGNAL

DHMM

PM2.5 + CO + satellite hearth

VERIFICATION

PILS

PM10 + mineral profile

ACTION

INVERSION

weak wind + accumulation

FILMS / DISPUTES

Taxa + Phenology

The preliminary and confirmed signals are shown separately.

BIOSIGNAL

a Cluster of Target Markers

BIOCENOSIS: AIR

The reaction passes through nine verifiable steps

SCIENTIFIC AND CRAFTS CONCEPT

Detect

Verify

Quality

Verify

Rate

Risk

Install

Source

Predict

Accept

decision

Verify

effect

Close and

Learned

R = Danger × Exposure × Vulnerability | Trust and Urgency Are Specified Separately

BIOCENOSIS: AIR

Roles are divided — responsibility is not blurred

SCIENTIFIC AND CRAFTS CONCEPT

EQUILIBRIUM

Data • hypergraph • prediction • proofs

ECO-PPA

projects • resources • KPI • verification

SPECZASHCHITA

survey • network • execution • mobile groups

STATE

Formal decisions within the competence

SCIENCE + LABORATORY

methods • confirmation • quality control

Unified methodology • distributed surveillance • responsible execution • independent verification

BIOCENOSIS: AIR

Pilot in 12 months gives first seasonal cycle

SCIENTIFIC AND CRAFTS CONCEPT

PROJECT

NETWORKING

ENTER

MODEL

MEASURES

AUDIT

9–10

11–12

map • protocol

installation • integration

Calibration • Background

Sources • exposure

2–3 interventions

Exercises •

Territory passport • early warning • proof of manageability • scaling package

Result

One year covers the season, but does not form a multi-year climate norm.

BIOCENOSIS: AIR

≤30 min

SCIENTIFIC AND CRAFTS CONCEPT

Success is data quality, speed and proven effect

PROJECT OBJECTIVES FOR DISCUSSION

Valid Data

the reference contour

significant events

Verified

Primary Assessment

the Orange Event

At least three intervention packages ECO-PPA

Each orange and red signal receives a final card

Source class defined for most significant episodes

The effect is confirmed by comparison before / after / control

The long-term reduction in incidence is not reported as KPI per year pilot.

BIOCENOSIS: AIR

Launch the pre-project stage

DECISION

DAYS

Results of the stage

pilot territory and reference laboratory

Map of sources, flows and sensitive receptors

Scientific protocol and data quality plan

BIOCENOSIS: AIR

Network architecture, roles and response regulations

Transition from pollution measurement

Managing the viability of the Territory

passport 12-month pilot ECO-PPA

EQUILIBRIUM — ECO-PPA — SPECZASHCHITA

ORION 22:22

Sources indicated in the presentation 26
  • Visual: original OpenAI ImageGen scientific editorial illustration generated for this deck, 2026-08-26.
  • WMO Global Atmosphere Watch: https://community.wmo.int/site/knowledge-hub/programmes-and-initiatives/global-atmosphere-watch-gaw-programme
  • Mayol et al., Nature Communications 2017: https://doi.org/10.1038/s41467-017-00110-9
  • Gusareva et al., PNAS 2019: https://doi.org/10.1073/pnas.1908493116
  • Gusareva et al., Scientific Reports 2020: https://doi.org/10.1038/s41598-020-78604-8
  • Vaïtilingom et al., PNAS 2013: https://doi.org/10.1073/pnas.1205743110
  • UNEP GEMS/Air: https://www.unep.org/topics/environment-under-review/gems-air
  • CAMS global forecasts: https://ads.atmosphere.copernicus.eu/datasets/cams-global-atmospheric-composition-forecasts
  • Concept synthesis from the project architecture.
  • Project operating model; no external quantitative claim.
  • WHO Global Air Quality Guidelines: https://www.who.int/publications/i/item/9789240034228
  • WHO/FAO/UNEP/WOAH One Health Joint Plan: https://www.who.int/publications/i/item/9789240059139
  • Project layer model synthesized from official monitoring and aerobiome research.
  • WMO Global Atmosphere Watch network framework: https://community.wmo.int/site/knowledge-hub/programmes-and-initiatives/global-atmosphere-watch-gaw-programme
  • European Air Quality Index station typology: https://airindex.eea.europa.eu/AQI/index.html
  • WHO Global Air Quality Guidelines (2021): https://www.who.int/publications/i/item/9789240034228
  • CAMS pollen forecasts: https://atmosphere.copernicus.eu/european-air-quality-forecast-plots
  • European Air Quality Index: https://airindex.eea.europa.eu/AQI/index.html
  • Proposed node counts are project design targets requiring site survey and calibration.
  • Project-specific semantic hypergraph and evidence architecture.
  • Threat taxonomy is a project scenario framework.
  • Project response protocol synthesized from environmental monitoring, quality assurance and One Health principles.
  • Project governance proposal; official powers remain with competent public authorities.
  • Project pilot roadmap and design assumptions; duration and node mix require site-specific approval.
  • All KPI values shown are project targets for discussion, not externally validated outcomes.
  • Project decision proposal; no external quantitative claim.