Seven Science Domains · Highlights
The knowledge framework spans seven Earth-science research domains. Expand each for a summary of its scope.
1 · Geology
2 · Solid-Earth Geophysics
3 · Earth & the Solar System
4 · Atmospheric Physics & Meteorology
5 · Oceanography
6 · Environmental Science
7 · Remote Sensing & Earth Observation
Note: the full, current syllabus is published on the official WeChat account "湾区青少年地球科学知识竞赛". The Primary Division is assessed on the foundational parts of the above.
Seven Tracks · Mapped to the Syllabus
The preliminary picks one of five subject tracks; the final picks one of two stream tracks. Their mapping to syllabus domains is below.
| Track | Stage | Core topics | Syllabus domain |
|---|---|---|---|
| S1 Earth Ecology | Preliminary | Ecosystems, organisms & environment, natural resources, conservation, biodiversity | Environmental science · biosphere |
| S2 Geology & Paleontology | Preliminary | Rocks & minerals, soil, Earth's interior, volcanoes & earthquakes, fossils & evolution | Geology |
| S3 Cosmos & Sky | Preliminary | Solar system, Earth's rotation & revolution, Moon & phases, constellations, space | Earth & Solar System |
| S4 Plants & Insects | Preliminary | Plant organs, photosynthesis, reproduction; insect traits, metamorphosis, pollination | Biology · ecology |
| S5 Birds | Preliminary | Shared bird traits, beak & diet, migration, common-bird ID, conservation | Biology · ecology |
| S6 Geophysics | Final · 1 of 2 | Forces & motion, seismic waves & early warning, magnetic field & compass, energy | Solid-earth geophysics |
| S7 Geochemistry | Final · 1 of 2 | Elements & molecules, rock weathering, dissolution & solutions, soil acidity & pH | Geology · environmental chemistry |
Data Processing & AI Data Analysis
Data processing is a universal Earth-science skill that runs through remote sensing, the atmosphere and the oceans — and is central to the contest's AI scenarios (CBT) and the final's "AI data analysis" questions.
📊 The data skills you'll need
From "reading the data" to "drawing conclusions from it" — the contest assesses how students read, organize and analyze data in real Earth-science scenarios, with AI tools as an aid.
Imagery processing
Compare, interpret and lightly enhance / classify satellite and drone imagery to identify water, vegetation, soil and geologic landforms.
Chart & data analysis
Read tables and curves of meteorological, oceanographic and seismic data; summarize patterns and judge trends and anomalies.
AI data analysis
Use AI tools for data analysis and decisions in scenarios like seismic early-warning, water-quality monitoring and mineral composition (a focus of the final's Round 2).
Sample Walkthroughs · On Our Video Channel
Want to see past sample papers and how to approach them? Follow our official video channel for video walkthroughs of past sample papers, updated regularly.
📺 Video channel "盖亚和田小野"
Search "盖亚和田小野" in the WeChat Channels (视频号) to watch video walkthroughs of past sample papers and key prep tips; the latest samples, syllabus and notices are posted there too. You can also follow the WeChat account "湾区青少年地球科学知识竞赛".
Preparation Tips
Does the Primary Division need the whole syllabus?
How do I practice data processing and chart reading?
How can I see sample papers?
Where can I get the latest syllabus and notices?
Know the tracks, then prepare
Pick your preliminary track first, then prepare in tiers by syllabus and sample papers.