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Development of a Geospatial Microplastic Hotspot Prediction and Analysis System

spyro-soft.com

Environmental Services

Challenge

MicroBubbles GmbH requires a robust technology solution to analyze existing and predict future microplastic occurrences in Germany. The current lack of a comprehensive, data-driven system hinders their ability to effectively identify high-risk contamination areas, assess the extent of pollution, and strategically allocate resources for removal efforts. This limits their capacity to develop targeted and effective microplastic mitigation strategies.

About the Client

A German venture dedicated to researching microplastics and developing solutions for their mitigation and removal, combining expertise in various scientific and engineering disciplines.

Objectives

Develop a predictive model for microplastic hotspots.
Create an interactive geospatial visualization platform for microplastic data.
Enable efficient data collection, management, and analysis of relevant datasets.
Support informed decision-making regarding resource allocation for microplastic removal.
Enhance MicroBubbles' ability to identify and address microplastic pollution effectively.

Functional Requirements

Interactive map visualization of microplastic concentration data.
Data ingestion and management from various sources (scientific papers, monitoring stations, etc.).
Advanced spatial analysis tools (e.g., clustering, hotspot analysis).
Predictive modeling algorithms for identifying potential contamination hotspots.
Reporting and data export functionalities.

Preferred Technologies

Microsoft Azure Cloud Services

Esri ArcGIS Pro

Data Visualization System (Interactive Maps)

Open Source Frameworks (for prototyping)

Required Integrations

Scientific Database APIs (for accessing research papers)
Government Data Sources (for environmental data)
Potentially, IoT sensor data platforms (for future monitoring)

Non-Functional Requirements

Scalability to handle large geospatial datasets.
High performance for real-time data analysis and visualization.
Data security and privacy.
Reliability and availability.
User-friendly interface for data exploration and analysis.

Expected Impact

This project will enable MicroBubbles GmbH to significantly improve its ability to identify and address microplastic pollution. By leveraging predictive modeling and advanced geospatial analysis, the company will be able to allocate resources more effectively, develop more targeted removal strategies, and contribute more significantly to creating a cleaner environment. The system will provide valuable insights for strategic decision-making and enhance MicroBubbles’ credibility as a leader in microplastic research and remediation.