The Global Risks Index · XT-07 · Exponential technology series
地球观测与空间系统
对导航、通信和观测卫星的依赖；轨道拥挤、空间碎片和空间天气暴露。
Page GRX-SER-XT-07Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX (canonical data, provenance and risk) proposedNexus Reports XT-07 (planned)Values not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
领域指数
1
空间天气暴露
指标
56
3 index domains
Hazard families
18
Space and near-Earth · Frontier and exponential technology.
方法
64
Hazard science · Critical infrastructure and industrial systems.
1
领域指数
56
indicators in scope
2
危害领域
3
client groups
01范围
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which services depend on space systems?
- How exposed are orbits to congestion and debris?
- What would a severe space-weather event disable?
02Construction
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
computation
How the Earth observation and space systems index is built
Graph5 nodes
流程图
01领域指数
02Series index
03Readings
100%
索引
-
空间天气暴露Domain index · IDX · SPC0–10 index of space-weather exposure as the product of the space-weather hazard and space-service dependence sub-indices; mostly modelled and expert inputs, so its grade is capped.
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Earth observation and space systems indexSeries index · SERIES · XT-07对导航、通信和观测卫星的依赖；轨道拥挤、空间碎片和空间天气暴露。
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
未运行进行中已完成
03指数
Domain indices in this series
The Global Risks Index · XT-07 · 195 profiles · 0–10 scale
Earth observation and space systems index, world
–
数值随版本发布；区间、类别和变化将显示在这里。
| 指数 | 数值 | 变化 | 变化 % | 90% 区间 | 类别 · 概率 | 趋势 | 范围 |
|---|---|---|---|---|---|---|---|
空间天气暴露NXS-GRX · SPC |
– | – | – | – | – |
Domains read: Space environment, Technology and frontier, Infrastructure.
04指标
56 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
FIG 3 · Indicators in scope, by domain and sub-domain
| 指标 | 领域 | Sub-domain | 组件 | 单位 | 级别 | Crosswalks |
|---|---|---|---|---|---|---|
关键矿产净进口依赖度IND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
受海上咽喉要道影响的海运贸易IND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
防洪设计标准IND.HAZ.flood.flood_protection_standard |
HAZ | Flood | coping capacity | a |
COUNTRY, ADM1, CITY, SITE | |
建成区面积IND.HAZ.exposure.built_up_area |
HAZ | 风险暴露 | context | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
高危害区内的建成区面积IND.HAZ.exposure.built_up_exposed |
HAZ | 风险暴露 | exposure | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
道路密度IND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
在受控设施中处理的城市固体废物IND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
经安全处理的废水IND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days |
SPC | 空间天气 | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
100 年一遇地电场振幅IND.SPC.weather.geoelectric_field_rp100 |
SPC | 空间天气 | hazard | V/km |
COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days |
SPC | 空间天气 | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
依赖 GNSS 的活动所产生的 GDP 占比IND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
依赖卫星且无备份的关键服务占比IND.SPC.dependence.satellite_service_exposure.share |
SPC | Space-service dependence | vulnerability | % |
COUNTRY | |
位于高地电危害区的高压电网占比IND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
前往最近卫生设施的出行时间IND.HLT.system.health_facility_travel_time |
HLT | Health system capacity | vulnerability | min |
COUNTRY, ADM1, ADM2, CITY, GRID | |
城市人口，占总人口比重IND.DEM.urbanisation.urban_share |
DEM | Urbanisation | context | % |
COUNTRY | WB_WDI SP.URB.TOTL.IN.ZS |
城市人口增长率IND.DEM.urbanisation.urban_growth |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI SP.URB.GROW |
居住在贫民窟的城市人口IND.DEM.urbanisation.slum_share |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI EN.POP.SLUM.UR.ZS SDG 11.1.1 |
企业在典型月份遭遇的停电次数IND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
系统平均停电持续时间（SAIDI）IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
系统平均停电频率（SAIFI）IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
关键矿产进口供应方集中度IND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
距全天候道路 2 km 以内的农村人口IND.INF.transport.rural_road_access |
INF | Transport | coping capacity | % |
COUNTRY, ADM1 | SDG 9.1.1 |
物流绩效IND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
班轮运输连通性（相对前沿水平）IND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
人均航空客运量IND.INF.transport.air_passengers.pc |
INF | Transport | coping capacity | {passengers}/a/{person} |
COUNTRY | WB_WDI IS.AIR.PSGR |
可便捷使用公共交通的城市人口IND.INF.transport.public_transport_access |
INF | Transport | coping capacity | % |
CITY, ADM1, COUNTRY | SDG 11.2.1 ISO_37120 ISO 37120:2018 |
位于高危害区的公路和铁路网络占比IND.INF.transport.network_exposed.share |
INF | Transport | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
互联网使用者IND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
移动网络覆盖人口，按技术划分IND.INF.digital.mobile_network_coverage |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1 | SDG 9.c.1 |
每 100 名居民固定宽带订阅数IND.INF.digital.fixed_broadband |
INF | Digital connectivity | coping capacity | /10*2 |
COUNTRY, ADM1 | SDG 17.6.1 WB_WDI IT.NET.BBND.P2 |
国际连接路由冗余度IND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
全国范围互联网中断小时数IND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
电网韧性IND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
供水网络韧性IND.INF.utilities.water_network_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
具备 72 小时备用电源的关键设施IND.INF.utilities.critical_facility_backup_power |
INF | Utilities | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
位于高危害区的供水资产占比IND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
位于高危害区的发电和电网资产占比IND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
位于高危害区的生命线设施占比IND.INF.utilities.lifeline_facilities_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
基础设施投资缺口，占 GDP 比重IND.INF.utilities.infrastructure_investment_gap.gdp |
INF | Utilities | vulnerability | % |
COUNTRY | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
因灾害受损或被毁的关键基础设施单位IND.INF.disruption.critical_infrastructure_damage |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
因灾害受损或被毁的卫生设施IND.INF.disruption.health_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-2 |
因灾害受损或被毁的教育设施IND.INF.disruption.education_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-3 |
灾害导致的基本服务中断IND.INF.disruption.basic_service_disruptions |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-5 |
关键基础设施直接经济损失，占 GDP 比重IND.INF.disruption.critical_infrastructure_loss.gdp |
INF | Service disruption | impact | % |
COUNTRY, ADM1 | SENDAI C-5 |
扰乱关键服务的网络事件IND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
研发总支出，占 GDP 比重IND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
每百万居民研究人员数IND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
高技术出口，占制成品出口比重IND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
半导体进口供应方集中度IND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
云基础设施提供方集中度IND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
受外国或单一提供方控制的 AI 算力IND.TEC.ai.ai_compute_foreign_control |
TEC | 人工智能 | vulnerability | % |
COUNTRY | |
基础模型提供方集中度IND.TEC.ai.foundation_model_concentration |
TEC | 人工智能 | vulnerability | % |
COUNTRY | |
高等级防护实验室的生物安全和生物安保监督IND.TEC.bio.biosecurity_lab_oversight |
TEC | 生物技术 | coping capacity | {score} |
COUNTRY | |
15 分钟内可获得应急服务的人口IND.CRS.response.emergency_service_access |
CRS | Response capacity | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
05危害
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
FIG 4 · Hazard families this series reads
| 类别 | 领域 | 危害 | Count |
|---|---|---|---|
| Solar-terrestrial storms | 空间与近地 | Geomagnetic storm, Solar flare radio blackout, Solar radiation storm, Ionospheric disturbance, Geomagnetically induced current, Satellite space-environment anomaly, Thermospheric drag surge, Radiation-belt electron enhancement … | 9 |
| Impacts and orbital hazards | 空间与近地 | Near-Earth object approach, Meteorite impact, Airburst, Space debris, Orbital collision cascade, Uncontrolled re-entry, Spaceflight accident, Meteoroid stream encounter | 8 |
| AI system failure and misalignment | 前沿与指数型技术 | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | 前沿与指数型技术 | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | 前沿与指数型技术 | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | 前沿与指数型技术 | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | 前沿与指数型技术 | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | 前沿与指数型技术 | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| 生物技术与合成生物学 | 前沿与指数型技术 | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | 前沿与指数型技术 | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | 前沿与指数型技术 | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | 前沿与指数型技术 | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| 气候干预技术 | 前沿与指数型技术 | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | 前沿与指数型技术 | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | 前沿与指数型技术 | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | 前沿与指数型技术 | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | 前沿与指数型技术 | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | 前沿与指数型技术 | Smart-contract and oracle exploit | 1 |
06方法
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
37 methods
危害科学
Hazard Intensity Footprint Screening · Earthquake Hazard · Earthquake Ground Motion · Earthquake Rupture · Liquefaction · Landslide · Tsunami …
27 methods
关键基础设施和工业系统
Asset Reliability · Process Safety · HAZOP · FMEA FMECA · Industrial Fault Tree · Industrial Event Tree · LOPA …
07Users
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context. Run scenario and tail analytics. Study parametric index design questions.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
08报告
Nexus Reports
- Edition code
XT-07- Edition status
- 计划中
- 主题
- Set by Nexus Reports at commissioning
09引用
引用与再利用
GCRI Canada (2026). The Global Risks Index (NXS-GRX): Earth observation and space systems series (GRX-SER-XT-07), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-07/ UNI NXS-GRX-AR-000094.
- Series key
grix:SER.XT-07:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
状态
The Global Risks Index 的方法、结构和定义为预备性工作草案（2026），供审阅和评论，不供实施。在从受治理的证据截取中发布版本之前，不会出现任何数值；届时数值将附有区间、类别、来源及其更正途径。模拟器以您选择的数字运行已发布的方法，绝不显示 NXS-GRX 数值。
NXS-GRX 不是什么
NXS-GRX 是研究和风险分析信息。它不是信用评级或 ESG 评级，不使用任何评级尺度；它不是金融工具的基准，不是官方统计，不是紧急警报或官方分类，也不是建议。不得用于评估自然人。风险等级是已发布尺度上的区间，绝不是对国家或个人的排名。
机构与来源
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
每个数值均附有其来源的署名，这些来源保留各自的许可。外部名称仅为互操作性而引用。Nexus 撰写的文本拟在发布时采用 CC BY 4.0。
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.