Digital twin of a mountain watershed
Concept
DREVO Mountain Digital Twin (MDT)— is a dynamic digital model of a mountain catchment that integrates real-time data on topography, soils, water, vegetation, climate, infrastructure, and biodiversity.
Unlike conventional geographic information systems, a digital twin not only displays the current state of a territory but also predicts its development, allowing one to assess the consequences of various scenarios before they are realized.
The main principle:
First modeling, then decision making.
Main tasks
Mountain Digital Twin provides:
creation of a complete digital model of the catchment area;
combining data from all nine cascades;
modeling of hydrological processes;
forecasting ecosystem changes;
management of restoration works;
support for engineering decision making;
long-term planning of territorial development.
What is a digital twin?
Mountain Digital Twin combines several interconnected models.
Geometric model
A high-precision digital elevation model is created.
Includes:
peaks;
watersheds;
slopes;
ravines;
riverbed;
floodplains;
coastline.
Used:
LiDAR;
satellite data;
photogrammetry;
geodetic measurements.
Geological model
Displays:
rock types;
cracking;
aquifers;
soil depth;
slope stability;
geological faults.
Soil model
For each section the following are determined:
soil type;
depth;
density;
porosity;
humidity;
humus content;
carbon content;
biological activity.
Hydrological model
The following are simulated:
movement of rainwater;
snowmelt;
infiltration;
surface runoff;
underground drain;
spring feeding;
river flow;
floods;
drought.
This makes it possible to assess the impact of various restoration measures on the water balance.
Climate model
The following data is used:
temperatures;
humidity;
wind speed;
solar radiation;
evaporation;
transpiration;
precipitation;
snow cover.
The model allows for the analysis of the impact of climate change on the watershed.
Biological model
Includes:
trees;
shrubs;
herbs;
mushrooms;
mycorrhiza;
animals;
invasive species;
biodiversity.
Each forest area has its own characteristics and development history.
Engineering model
Displayed:
microterrace;
cascade;
infiltration bowls;
thresholds;
swimming pools;
bridges;
roads;
fire safety infrastructure;
sensors;
robotic stations.
Digital passport of objects
Each object receives its own digital passport.
Passports are created for:
trees;
forest areas;
slopes;
springs;
rivers;
steel;
sensors;
hydraulic structures;
roads;
bridges;
animals (during scientific monitoring).
The passport includes:
coordinates;
photographs;
history of changes;
technical condition;
environmental parameters;
artificial intelligence recommendations.
Working with nine cascades
First cascade
CONTROL:
precipitation;
snow;
fog;
winds.
Second cascade
Modeling:
infiltration;
erosion;
slope stability.
Third Cascade
Analysis:
forest growth;
biomass accumulation;
soil development;
water-holding capacity.
The fourth cascade
CONTROL:
stream;
sediments;
stone thresholds;
flow rates.
Fifth Cascade
Calculation:
filling swimming pools;
groundwater replenishment;
infiltration efficiency.
Sixth Cascade
Modeling:
seasonal flooding;
steel;
floodplain forests.
The Seventh Cascade
CONTROL:
water quality;
salinity;
delta states;
infiltration.
The Eighth Cascade
Analysis:
coastline;
dune;
lagoon;
coastal vegetation.
The Ninth Cascade
Integration with:
marine data;
water temperature;
sea level;
the state of marine ecosystems.
Scenario modeling
A digital twin allows for the consequences of various scenarios to be assessed in advance.
For example:
Extreme downpour
which areas will be flooded;
where erosion will occur;
which cascades need to be strengthened.
Drought
which springs will dry up first;
which forest areas experience the greatest water stress;
where additional restoration is required.
Forest fire
The model estimates:
probable directions of spread;
speed of fire advance;
available water sources;
safe routes for equipment.
New plantings
Before starting work, you can evaluate:
probability of survival;
future forest structure;
impact on water balance;
rate of ecosystem restoration.
Artificial intelligence
DREVO AI constantly analyzes data.
He is capable of:
identify anomalies;
predict changes;
calculate the effectiveness of activities;
generate recommendations;
automatically update the model.
Integration with robotic systems
Mountain Digital Twin directly interacts with:
TREVO AeroSense Drone
Receiving new data.
Automatic model update.
DREVO Mountain Rover
Transferring tasks to robots.
Control of work execution.
Living Mountain Observatory
Receiving information from thousands of sensors.
DREVO Cloud & Mist System
Optimization of local humidity control.
Scientific opportunities
Mountain Digital Twin allows you to:
analyze the impact of climate change;
study the development of forests;
simulate the restoration of springs;
evaluate the effectiveness of natural solutions;
conduct scientific research without risking ecosystems.
Integration
Mountain Digital Twin is the analytical core of the entire platform.
It unites:
DREVO Mountain Sponge;
Mountain Springs Recovery;
Mountain Forest Corridors;
DREVO Cloud & Mist System;
Living Mountain Observatory;
TREVO AeroSense Drone;
DREVO Mountain Rover;
WOOD AI;
DREVO Smart Agriculture;
Atlantic & Mediterranean Coastal Water and Soil Resilience Initiative (AMCWSRI).
Expected results
After implementing Mountain Digital Twin, the following is achieved:
increasing design accuracy;
reduction in the cost of restoration work;
reduction of environmental risks;
acceleration of decision-making;
forecasting emergency situations;
continuous monitoring of recovery efficiency;
creation of a long-term database on ecosystem development;
the possibility of adaptive management of a mountain watershed over decades.
Project mission
DREVO Mountain Digital Twinis the digital brain of the projectDREVO Living Mountains. If Living Mountain Observatoryserves as a nervous system that collects information, thenMountain Digital TwinIt analyzes this data, predicts future events, and enables scientifically sound decision-making. It integrates all nine cascades into a single dynamic model, ensuring the management of the mountain watershed as an integrated living system—from the first drop of rain on the summit to the water's return to the ocean and its subsequent cycle through the atmosphere.