Scientific
• Physical processes behind natural disasters
• Data & tools used to study them
• Prediction possibilities & limits
Societal
• Mitigation strategies
• Communicating uncertainty
• Geological vs. historical time perspectives
General scientific thinking skills
Natural process ≠ disaster until it impacts society
Webster: “sudden & extraordinary misfortune”
Working hierarchy
• Hazard = probability a phenomenon occurs
• Risk = probability of adverse consequences
• Disaster = event causing significant damage
• Catastrophe = very large deaths/injuries or economic loss
Equation examples
• Earthquake hazard: P(M>7 \;|\; \text{before 2020})
• Personal risk: P(\$>10\,000\text{ damage}|\text{1 yr})
Mitigation = strategies that lower risk (prediction, zoning, insurance, education …) — cost-benefit dependent
Geophysical: earthquakes, tsunami, volcanic eruptions
Hydro-meteorological: floods, hurricanes, tornadoes, drought, wildfire, climate change, El Niño
Mass-movement: landslides
Extra-terrestrial: meteorite impacts
Biological: pandemics (listed but not covered)
Humans often live in hazardous zones for cultural/economic reasons and quickly forget past events
Population & asset growth amplify impacts
Catastrophes disrupt temporary equilibria in Earth systems
Rising counts of meteorological & hydrological events; geophysical event frequency relatively stable
Economic losses now hundreds of \text{US}\$ 10^{11} annually – peaks >\$350\text{ B} (Our World in Data)
Increasing insured vs. uninsured gap (Swiss Re)
Magnitude–Frequency: M \propto \frac1f (large events rare)
Public often mis-ranks risks (e.g., nuclear power vs. motor vehicles)
Probabilities of death per year
• Motor vehicle 1!:!100 > smoking 10 cigarettes 1!:!200 > influenza 1!:!5000 > sports 1!:!25{,}000 > CA earthquake 1!:!2\,000,000
Chicken Little vs. Alfred E. Neumann archetypes illustrate over- vs. under-reaction
Scientists: reconstruct past, identify causes, develop forecasts & technologies
Policy makers: zoning, codes, response plans, insurance; communication essential
Use past as key to future; recurrence interval statistics
Plot magnitude vs. inter-event time — straight line on log–log plots enables extrapolation
Many Earth features are fractal ⇒ small events inform large ones
Overlapping cycles & feedbacks complicate prediction (e.g., tide + storm surge)
Early melting → iron-nickel core vs. silicate mantle
Crust
• Continental 20-70 km, \rho\approx2.7\times10^{3}\,\text{kg m}^{-3} (felsic)
• Oceanic 5±3 km, \rho\approx3.0\times10^{3} (mafic)
Mantle ≈ 2700 km thick, \rho=3.3$–$5.7\times10^{3}; rock = peridotite (ultramafic)
Core
• Outer liquid, \rho\approx9.7$–$14\times10^{3}
• Inner solid, \rho\approx14$–$16\times10^{3}
Lithosphere: cold, rigid, ~100 km
Asthenosphere: warm, weak, convects (v\sim1\text{ cm yr}^{-1},\;\tau\sim10^{9}\text{ yr})
Earth age: 4.55\times10^{9}\text{ yr} (Hadean → present)
24-hour & football-field metaphors illustrate how recent humanity is
Radioactive decay: N(t)=N{0}(\tfrac12)^{t/t{1/2}}
Parent → daughter ratio \dfrac{D}{P}=2^{t/t{1/2}}-1 ⇒ t=t{1/2}\,\dfrac{\log(D/P+1)}{\log2}
Common systems & half-lives
• ^{14}!C \rightarrow {}^{14}!N 5.7\times10^{3}\text{ yr}
• ^{238}!U \rightarrow {}^{206}!Pb 4.5\times10^{9}\text{ yr} (Earth dating)
Carbon-14 useless for rocks: short t_{1/2} and “clock” starts at organism death
Precision = repeatability/significant figures (±½ LSB)
Accuracy = closeness to true value
Rule: final answers carry sig. figs. of least precise input
Lithosphere fragmented into ~8 major & many minor plates (map provided)
Motion driven by mantle convection; GPS confirms \sim5\text{ cm yr}^{-1} typical
Hypsographic curve: bimodal topography linked to crustal density differences
Type | Relative Motion | Typical Fault | Hazards |
---|---|---|---|
Divergent | plates pull apart | normal | volcanism, quakes, rift valleys |
Convergent | plates collide | reverse/thrust | major quakes, arcs, tsunamis |
Transform | plates slide laterally | strike-slip | shallow quakes |
Elastic-rebound theory (Lawson 1908): stress builds, fault slips, energy released
Fault terms: strike, dip, hanging-wall vs. foot-wall
Types
• Normal (HW ↓)
• Reverse/thrust (HW ↑)
• Strike-slip (left/right lateral)
Magnitude related to rupture area and slip
Body waves:
• P (compressional, v\approx6\,\text{km s}^{-1})
• S (shear, v\approx4\,\text{km s}^{-1}; no liquids)
Surface waves: Love, Rayleigh (largest damage)
Free oscillations: whole-Earth normal modes (T up to 10^{4}\,\text{s})
Travel-time curves curved because velocity increases with depth & Earth curvature
Use \Delta t = tS - tP; distance d = \dfrac{\Delta t}{1/vS - 1/vP}
Triangulate with ≥3 stations; networks yield real-time locations
Local (Richter) ML = \log{10}(A/A_0) (corrected to 100 km); each +1 ⇒ ×10 amplitude
Surface-wave MS & body-wave mb (depth-biased)
Moment magnitude MW = \tfrac23\log{10}M0 - 6 where M0 = \mu A S; each +1 ⇒ ×32 energy; global energy release since 1906 ≈ M_W 9.95
Energy relation: \log{10}E = 11.8 + 1.5MW (ergs)
I (XII) based on effects; varies with depth, distance, local geology, population
“Did You Feel It?” crowdsourcing enhances isoseismal mapping
Surface rupture, scarps, offset infrastructure
Ground shaking, structural failure, resonance issues (bedrock vs. soft mud amplification)
Liquefaction → sand blows, building tilting (Niigata 1964; Japan 2011 videos)
Landslides (Loma Prieta 1989, Madison River 1959)
Secondary: fires (SF 1906), dam failures, tsunamis
Hazard maps (PGA %g) for zoning & building codes
Early-warning networks: detect P-wave, alert before damaging S/surface waves (seconds)
Personal preparedness (flashlight, secure furniture, reunification plans)
Post-event: utilities shut-off, avoid phone, watch for aftershocks
Comprehensive Test-Ban Treaty Organization uses global seismic, hydro-acoustic, infrasound, radionuclide networks to distinguish explosions vs. quakes (different P/S signatures)
Magma (sub-surface) vs. lava (surface)
Pyroclast/tephra generic ejecta
• Ash <2 mm • Lapilli 2–64 mm • Bombs/blocks >64 mm
Mafic \sim50\% SiO₂ → basalt
Intermediate \sim60\% → andesite/dacite
Felsic \ge70\% → rhyolite
Increasing silica ⇒ increasing viscosity
Type | Lava | Viscosity/Gas | Typical Hazard |
---|---|---|---|
Flood basalts | very fluid | low gas | vast flows |
Shield (e.g., Mauna Loa) | basaltic | low/moderate gas | lava, spatter |
Cinder cones | basaltic | moderate gas | bombs, brief eruptions |
Stratovolcanoes | andesite | higher gas | explosive, pyroclast, lahars |
Domes | rhyolite | very high viscosity | dome collapse, pyroclastic flows |
Calderas | silicic | extreme | super-eruptions (e.g., Yellowstone) |
\eta = f(\text{SiO}2,\;T,\;H2O/\text{gas})
Higher SiO₂ & lower T ⇒ higher \eta
Dissolved volatiles decrease \eta but drive explosivity when exsolved
Rising magma ↓P → volatiles exsolve → bubble volume ↑↑
If \eta high, bubbles trapped → fragmentation
Explosive volcanism = high \eta + high gas (e.g., rhyolite with 5-10 % H₂O)
Setting | Melt Mechanism | Typical Magma | Typical Volcano |
---|---|---|---|
Divergent ridge / Iceland | decompression of dry mantle | basalt, low gas | fissures, shields |
Subduction (Cascades, Japan) | H₂O-flux melting | andesite (intermediate gas) | stratovolcanoes |
Continental rift (Basin & Range, East Africa) | decompression + crustal mixing | bimodal (basalt+ rhyolite) | cones, domes, calderas |
Oceanic hotspot (Hawaii) | plume decompression | basalt | huge shields |
Continental hotspot (Yellowstone) | plume + crustal assimilation | rhyolite, high gas | giant caldera |
Hotspot tracks (Hawaii–Emperor; Snake River Plain) trace plate motion over stationary plumes
Flood basalts may form from initial plume-head arrival
Hazard/Risk definitions (probability framework)
Magnitude–frequency M \propto 1/f
Radiometric dating \dfrac{D}{P}=2^{t/t_{1/2}}-1
Seismic travel-time d = \dfrac{tS-tP}{1/vS-1/vP}
Moment magnitude MW = \tfrac23\log{10}M_0 - 6
Energy \log{10}E = 11.8 + 1.5MW
Communicating uncertainty vital for public trust & policy
Insurance & economic inequities (insured vs. uninsured losses)
Climate change and population growth feedback into disaster frequency and impact
Importance of learning from past events to inform zoning, codes, and emergency planning