DRTSS Learner Knowledge cheat sheet

Disaster risk is a function of hazard, exposure, and vulnerability: R = H × E × V; a reduction in any one factor lowers risk even when hazards cannot be modified.

Hazard is a potentially damaging physical event or trend; exposure is people, assets, or systems located in hazard-prone areas; vulnerability is the conditions that increase susceptibility to loss.

Hazard × Exposure gives potential loss potential; vulnerability and capacity determine whether that potential becomes a disaster. Capacity is the inverse of vulnerability in practice.

Disaster = severe disruption of a community's functioning exceeding its own coping capacity, per UNDRR usage; the same physical event may or may not be a disaster depending on capacity.

Resilience is the ability to resist, absorb, accommodate, adapt to, transform, and recover from hazard effects in a timely and efficient manner, including preservation and restoration of essential functions.

Sendai Framework distinguishes disaster risk management from disaster management: DRM includes prospective (avoid new risk), corrective (reduce existing risk), and compensatory (residual risk) approaches.

Extensive risk is risk from frequent, low-severity events (often localized flooding, landslides); intensive risk is from rare, high-severity events affecting large areas.

Underlying risk drivers include poverty and inequality, poorly planned urbanization, ecosystem degradation, weak governance, and climate variability; DRR must address these, not only hazards.

Resilience is not the same as resistance: a system may absorb shock and still fail if essential functions (water, health, shelter) are not maintained; function-based definitions guide recovery planning.

Risk assessment steps: identify hazards, estimate hazard likelihood and intensity, assess exposure, assess vulnerability and capacity, then calculate and rank risk.

Hazard analysis characterizes probability and magnitude; risk analysis combines hazard with exposure and vulnerability. Conflating the two produces misleading risk estimates.

Return period T relates to annual exceedance probability by P = 1/T; a 100-year flood has a 1% chance in any year and a 63% chance of occurring at least once in 100 years.

Qualitative assessment uses descriptors (high/medium/low) and matrices; semi-quantitative uses scores or indices; quantitative uses expected loss, annual average loss (AAL), or probabilistic loss exceedance curves.

A risk matrix plots likelihood against consequence; cells must be defined with explicit thresholds, otherwise ratings are not comparable across assessors.

Hazard mapping combines frequency, magnitude, and spatial extent; maps must state return period, data vintage, and confidence, since a map without these cannot support land-use decisions.

Multi-hazard assessment must account for cascading and compound effects (earthquake triggering landslide, cyclone plus storm surge), not just the sum of single-hazard risks.

Participatory hazard assessment (community mapping, seasonal calendars, transect walks) captures local knowledge and informal settlement conditions that remote data miss.

Data quality checks for risk assessment: currency of records, spatial resolution, completeness of exposure inventory, and validation against historical disaster loss data.

Sendai Framework for Disaster Risk Reduction 2015-2030: four priorities - understanding disaster risk; strengthening governance; investing in DRR for resilience; enhancing preparedness for effective response and Build Back Better.

Sendai has seven global targets including reducing mortality, affected persons, economic loss, and infrastructure damage, plus increasing DRR strategies, international cooperation, and availability of early warning.

Sendai shifts emphasis from disaster loss accounting to disaster risk management and explicitly includes man-made, environmental, and biological hazards.

Sustainable Development Goals link DRR to SDG 11 (sustainable cities), SDG 13 (climate action), and SDG 1 (poverty); Sendai is a means of implementation for the 2030 Agenda.

Paris Agreement links adaptation to DRR; Nationally Determined Contributions and National Adaptation Plans should reference disaster risk, and adaptation communication is a reporting channel.

Sphere Standards set minimum humanitarian response standards in water, sanitation, shelter, health, and food security; they apply to response quality, not to pre-disaster risk reduction.

ISO 31000 provides a generic risk management process: establish context, identify, analyze, evaluate, treat, communicate, monitor and review; it is not disaster-specific but is commonly adapted.

National DRM law typically defines institutional mandates (national disaster management authority, subnational committees), declares states of emergency, and establishes funds; implementation depends on budget lines and enforcement.

Humanitarian principles (humanity, neutrality, impartiality, independence) govern response coordination; they are distinct from DRR policy but shape how recovery assistance is delivered.

Early warning system has four components: risk knowledge, monitoring and forecasting, dissemination and communication, and response capability; missing any one breaks the chain.

A warning is only effective if it is timely, understandable, actionable, and trusted; lead time must match the response actions it enables (evacuation time, shelter opening).

Contingency planning defines scenarios, triggers, roles, resources, and coordination arrangements before an event; it must be tested through simulation exercises.

Trigger thresholds (e.g., rainfall accumulation, river gauge level, wind speed) should be defined in advance with named decision-makers and pre-agreed actions; this is the basis of anticipatory action.

Preparedness cycle: planning, organizing and equipping, training, exercising, evaluating, and improving; exercises should include no-notice and night scenarios to test real readiness.

Last-mile dissemination requires redundant channels (SMS, sirens, radio, community volunteers, loudspeakers) because single-channel warnings fail during power or network outages.

Impact-based forecasting translates hazard forecasts into expected impacts (people affected, assets at risk) and is the current standard for actionable warnings, replacing hazard-only forecasts.

Evacuation planning requires shelter capacity, route mapping, transport for people with disabilities and older persons, and reception center management, not just warning issuance.

Preparedness indicators include stockpile levels, trained volunteers per capita, drill frequency, plan currency, and percentage of population covered by warning systems.

Incident Command System (ICS) organizes response into command, operations, planning, logistics, and finance/administration; span of control is typically 3-7 subordinates per supervisor.

Cluster approach groups agencies by sector (shelter, WASH, health, food security, protection) with a lead agency; clusters are activated for coordination, not to replace national authorities.

Humanitarian coordination architecture includes the UN Resident/Humanitarian Coordinator, OCHA, the Inter-Agency Standing Committee, and cluster leads; national governments retain primary responsibility.

Needs assessment phases: initial rapid assessment within hours to days, then multi-sector and detailed sector assessments; data must be disaggregated by sex, age, and disability.

Search and rescue prioritization: life-saving rescue within the first 72 hours has highest survival probability; triage sorts casualties by urgency of treatment, not order of arrival.

Emergency operations centers manage information flow, resource tracking, and decision logs; a common operating picture requires agreed data standards and reporting cycles.

Relief supply chain principles: pre-positioned stock, pipeline visibility, and last-mile distribution; cash-based assistance is preferred where markets function.

Coordination failure is a recurring post-disaster issue; documented causes include unclear mandates, duplicated assessments, and poor information sharing between military and civilian actors.

Transition from response to recovery is triggered by defined criteria (stabilization of lifelines, needs assessment completion), not by calendar dates alone.

Build Back Better (Sendai Priority 4) means restoring infrastructure and systems to higher resilience standards, not merely to pre-disaster condition.

Recovery phases: relief, early recovery, rehabilitation, and reconstruction; each has different time horizons and different lead actors.

Post-disaster needs assessment (PDNA) estimates damage (stock) and losses (flow, e.g., lost production and income) and derives recovery needs; damage and loss are not interchangeable.

Owner-driven reconstruction gives grants and technical assistance to households; agency-driven reconstruction uses contractors. Owner-driven is usually faster and more context-appropriate but needs strong technical oversight.

Reconstruction quality risks include unregulated self-building, weakened enforcement of building codes, and pressure to rebuild quickly; independent inspection and code compliance are the main controls.

Land tenure and property rights disputes are among the most common obstacles to housing recovery; resolving them requires cadastral records and dispute mechanisms.

Recovery financing instruments include contingent credit lines, catastrophe bonds, insurance, and pooled funds; speed of disbursement matters more than total amount for recovery outcomes.

Build Back Better indicators include percentage of rebuilt structures meeting updated codes, restoration of livelihoods, and reduction of future risk exposure in reconstructed areas.

Recovery monitoring should track not only physical progress but also equity outcomes, since vulnerable groups often recover more slowly and receive less assistance.

Climate change alters hazard frequency and intensity (heatwaves, heavy precipitation, drought, tropical cyclones) and shifts return periods, so historical records alone underestimate future risk.

Adaptation adjusts systems to actual or expected climate and its effects; mitigation reduces greenhouse gas emissions. DRR and adaptation overlap but are institutionally distinct.

Maladaptation is action that reduces vulnerability in one place or time while increasing it elsewhere or later (e.g., levees encouraging floodplain development).

Ecosystem-based adaptation uses mangroves, wetlands, and forests for hazard buffering and is often cheaper than engineered defenses for coastal and flood risk.

Climate risk screening of development projects checks exposure to current and future climate hazards before approval; climate-proofing designs infrastructure for projected conditions.

National Adaptation Plans and Nationally Determined Contributions are the main policy vehicles for adaptation; they should be aligned with national DRR strategies to avoid duplication.

Loss and damage refers to impacts not avoided by mitigation or adaptation; the Warsaw International Mechanism addresses it, and financing arrangements remain contested.

Integration mechanisms include joint national platforms for DRR and climate, shared risk data, and combined planning cycles; institutional silos are the main barrier.

Adaptive management requires monitoring of climate indicators and periodic revision of plans, since projections carry uncertainty and conditions change.

CBDRM is a process where communities identify, analyze, and manage their own risk; external actors facilitate rather than direct, and the community owns the plan.

Core CBDRM tools: participatory risk mapping, hazard and vulnerability assessment, seasonal calendars, institutional mapping, and community contingency plans.

Community disaster management committees need defined roles, representation of women and marginalized groups, and links to local government; committees without budget or mandate are ineffective.

Inclusion requires removing barriers for persons with disabilities, older persons, women, children, and minorities in warning, evacuation, shelter, and recovery; universal design is the design principle.

Disaggregated data by sex, age, disability, and income is a precondition for inclusive planning; aggregate community data hides differential risk.

Gender-based violence risk rises in displacement and shelters; shelter and WASH design and referral pathways must address protection from the planning stage.

Indigenous and local knowledge contributes early warning signals, coping strategies, and resource management; it should be validated and combined with scientific information, not replaced by it.

Community capacity is built through training, small-scale mitigation works, drills, and access to resources; externally imposed plans without local ownership fail in practice.

Accountability to affected populations means sharing information, enabling participation, collecting feedback, and acting on complaints; it applies in DRR planning as well as response.

DesInventar and national disaster loss databases record event-level losses; standardized loss accounting is required to report against Sendai targets A-D.

Sendai monitoring uses indicators for mortality (A), affected persons (B), economic loss (C), and infrastructure damage (D), reported through the Sendai Framework Monitor.

Damage is the destruction of physical assets (stock); loss is the change in economic flows (production, income, service delivery) over a period.

Indicators must be SMART: specific, measurable, achievable, relevant, time-bound; each needs a baseline, target, data source, and responsible party.

Monitoring is continuous tracking of implementation; evaluation judges relevance, effectiveness, efficiency, impact, and sustainability, ideally with a counterfactual or comparison group.

Data quality dimensions: accuracy, completeness, timeliness, consistency, and validity; disaggregation by sex, age, and disability should be built into collection forms.

Baseline data must be collected before an intervention; without it, attribution of change to the intervention is weak.

Common reporting pitfalls include double counting of affected persons, mixing damage and loss, and inconsistent definitions across agencies; a data dictionary resolves these.

Evaluation use requires dissemination to decision-makers and feedback into planning; evaluations that are not fed back into policy do not improve risk reduction.