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Source project ID · ecodome

EcoDome — Air-Quality Intelligence

EcoDome is a preliminary air-quality monitoring concept combining fixed and mobile sensors, satellite observations, drones and voluntary symptom reports; measurement quality, calibration, privacy, response protocols and business assumptions remain unvalidated.

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01

Agglomeration relevance

Air pollution crosses municipal boundaries, so a shared network could serve the industrial agglomeration; no agglomeration-wide deployment is yet evidenced.
This section is an editorial assessment of functional relevance. It does not change the project owner, beneficiary area or governance stated by the source.

02

Project dossier

The project in operational terms: the system it changes, the intervention logic, the path to delivery and the evidence still required for a responsible commitment.

01

The system behind the project

EcoDome is a preliminary air-quality information concept combining fixed and mobile sensors, satellite observations, drones and voluntary symptom reports. It responds to the need for denser, faster and more understandable pollution information, not to the physical reduction of emissions itself. Measurement quality, calibration, privacy, response protocols and the business model remain unvalidated. Because air pollution crosses administrative boundaries, a shared functional monitoring service could support communities across the industrial agglomeration; the source does not evidence agglomeration-wide deployment, regulatory acceptance or a new common authority.

02

How the intervention works

The system should separate measurement, contextual observation and human reports while connecting them through a governed data platform. Fixed and mobile sensors require metadata, siting rules, calibration, quality flags and co-location with reference instruments. Satellite and drone layers need resolution, timing and uncertainty labels; symptom reports need consent, minimisation and aggregation. A geospatial pipeline can produce maps, trends and alerts only after automated and human quality control. Versioned methods, open interfaces, cybersecurity, audit logs and documented escalation protocols must prevent indicative sensor readings from being misrepresented as regulatory measurements.

03

From concept to an operable asset

Delivery should start by defining pollutants, decisions, users and response responsibilities, then establish an environmental baseline and access to reference monitoring. A limited pilot should co-locate devices, test communications and power, quantify drift and false alerts, and compare mobile, satellite and fixed layers. Only validated components should expand to additional sites, public dashboards and operational alerts. Response exercises with health, environmental and community users should test whether information is understood and acted upon. The preliminary concept, stated budget and timetable do not evidence procurement, validated measurements, regulatory status, operational deployment or achieved pollution reduction.

04

What must be proven before commitment

Technical, ethical and commercial due diligence must verify sensor specifications, detection limits, calibration and maintenance frequency, reference-network access, siting representativeness, communications resilience and data completeness. Reviewers should test quality algorithms, uncertainty display, alert thresholds, false-positive handling and the separation of symptom reports from pollution measurements. Drone compliance, geospatial and satellite licences, privacy, consent, cybersecurity, data retention, public communication and liability require explicit controls. Operating costs, replacement cycles, staffing, service ownership, customer need and revenue assumptions must be validated before scaling or presenting outputs as decision-grade evidence.

05

Where a partner can create value

The project needs atmospheric scientists, accredited air-quality laboratories and sensor integrators capable of reference co-location, calibration, uncertainty analysis and field maintenance. GIS, earth-observation and data-engineering partners should manage provenance, spatial resolution, quality flags and open interfaces. Cybersecurity and privacy specialists are essential, particularly for location and voluntary health information. Municipal site hosts can provide secure power and access without implying a common authority. Environmental and public-health practitioners should design response protocols, while community communicators test understandable alerts. Independent validators and sustainable service operators must be able to audit performance, maintain devices and publish limitations transparently.

03

How the project creates value

  1. NeedCommunities lack sufficiently dense, timely and understandable pollution information.
  2. InterventionDesign, calibrate and pilot a multi-source monitoring and information system.
  3. OutputsQuality-controlled data, maps, alerts, analytics and documented protocols.
  4. BeneficiariesResidents, vulnerable groups, communities, regulators and responsible businesses.
  5. Expected resultEarlier awareness and better-targeted investigation and response, not automatic pollution reduction.

04

Evidence dashboard

Budget€435.9KSource fact
Months12Source fact
Data layersSensors + satelliteSource fact
Direct functionMonitoringSource fact

European value lens

Supports access to environmental information, public participation, precaution, transparency and privacy; sensor outputs must not be presented as regulatory measurements without validation.

05

Source identity and readiness

Customer
initiated by Kryvyi Rih City Council
Performer
CE "Kryvyi Rih City Development Institution"
Project year
2025
Readiness
previous MVP
Funding required
435.9 thsd. EUR
Source target term
1 year
Detail status
Active

06

Project context from the source

Optimised derivatives of the source project imagery; each asset retains its provenance.

07

Contact for this project

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Source captured and verified on 24 August 2026

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