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Drought intelligence and water resource forecasting

Drought intelligence and water resource forecasting combine AI/ML, geospatial analytics, earth observation, weather intelligence, GIS and IoT to forecast supply.
会議のスケジューリング
Utilities often learn about a water shortage only once generation or supply is already constrained.
WHY THIS DROUGHT INTELLIGENCE AND WATER RESOURCE FORECASTING CHALLENGE?
Water scarcity needs a forecast, not a historical average

Reservoir levels and rainfall shift over months, but many utilities still plan water use on historical averages. Drought intelligence forecasts availability early enough to adjust generation and supply before scarcity hits.

主なメリット
Stronger Water Planning Through Earlier Forecasting

Drought intelligence and water resource forecasting helps you see scarcity coming and plan around it.

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Water shortages flagged months ahead

Earlier risk detection and warning combine rainfall, soil moisture and reservoir data into an early scarcity signal.

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Field teams sent to the driest zones first

Better prioritisation of field resources follows current water stress by region, not a fixed rotation

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Generation and supply protected from scarcity

Reduced exposure of critical assets comes from adjusting hydro generation and supply plans before reservoirs run low.

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Allocation decisions built on this season’s forecast

Faster emergency preparation and response let planning teams act on the current outlook, not last year’s pattern.

NTTデータのサポート体制は?

01
Connect the data you need

NTT DATA brings together weather intelligence, geospatial analytics, earth observation, IoT and hydrological data your water forecast depends on.

02
Apply intelligence at the right point

AI/ML and GIS sit where a generation, supply or allocation decision happens, not buried in a seasonal report.

03
Build on workflows you already run

Drought forecasts connect into your existing operational technology (OT) and enterprise systems, not another isolated layer.

04
Protect critical infrastructure:

Permissions, cybersecurity controls, validation and fallback mechanisms get defined to match the safety bar your operations require.

05
Scale from proven use cases

Each new drought intelligence use case grows from a controlled deployment measured against clear operational KPIs, so scale-up follows evidence, not guesswork.

実証済みの効果
Water scarcity seen months ahead

Drought intelligence connects rainfall, reservoir and asset data so teams plan around scarcity instead of reacting to it.

重要な結果
Indicative Performance Objectives for Drought Intelligence and Water Resource Forecasting

Objectives depend on baseline performance, infrastructure and deployment scope across climate-risk operations.

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Faster water risk assessment

20% to 40% reduction in risk assessment time, reflecting quicker movement from reservoir data to a planning decision.

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More lead time before scarcity hits

15% to 30% improvement in warning lead time, giving planning teams more time to adjust generation and supply.

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Less manual review of water data

30% to 50% reduction in manual geospatial review, freeing analysts to focus on the driest zones.

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Faster water allocation decisions

20% to 40% reduction in response preparation time, reflecting quicker movement from forecast to allocation.

Every drought deserves an earlier forecast

Shape the conversation that turns water scarcity into a plan, not a surprise.

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