The control of environment is supposed to be happening by using the appropriate data which will represent the current status. This way we can predict the future of crisis and the solution of it.

3. RELEVANCY
•AS THE POSSIBILITY TO DEVELOP TOOLS TO ANALYZE COMPLEX
AND EVER-GROWING AMOUNTS OF OBSERVED AND SIMULATED
CLIMATE DATA, AND THEREBY BRIDGE THE GAP BETWEEN DATA
AND UNDERSTANDING

4. CLIMATE MODELING
•CLIMATE SCIENTISTS USE CLIMATE MODELS, LARGE-SCALE MATHEMATICAL
MODELS RUN AS COMPUTER SIMULATIONS, TO UNDERSTAND AND PREDICT
THE CLIMATE. GEOPHYSICAL EXPERTS, INCLUDING CLIMATE SCIENTISTS
AND METEOROLOGISTS, ENCODE DATA FROM OBSERVED PROCESSES INTO
HIGHLY COMPLEX, NONLINEAR MATHEMATICAL MODELS.

5. TRACKING CLIMATE
•CLIMATE MODEL SIMULATIONS
•DATA-DRIVEN CLIMATE MODELLING
•SURROGATE MODEL
•HADLEY CENTRE GLOBAL ENVIRONMENT MODEL 3 (HADGEM3)
•STATISTICAL MODEL (INDEPENDENT REGRESSION MODEL)

6. GEOSPATIALLY TRACKING
•GENOMICS AND ENVIRONMENTAL MODELLING (REMOTE TRACKING
SYSTEM).
THE GENETIC DATA ACCURATELY REFLECT THE GENOTYPE–ENVIRONMENT
RELATIONSHIP AND THAT THE ENVIRONMENTAL DATA AND CLIMATE
MODELS ARE BOTH SPATIALLY AND TEMPORALLY PRECISE.

7. PROBLEMS
• CLIMATE CHANGE AFFECTS THE SOCIAL AND ENVIRONMENTAL DETERMINANTS OF HEALTH – CLEAN AIR, SAFE
DRINKING WATER, SUFFICIENT FOOD AND SECURE SHELTER.
• BETWEEN 2030 AND 2050, CLIMATE CHANGE IS EXPECTED TO CAUSE APPROXIMATELY 250 000 ADDITIONAL DEATHS
PER YEAR, FROM MALNUTRITION, MALARIA, DIARRHOEA AND HEAT STRESS.
• THE DIRECT DAMAGE COSTS TO HEALTH (I.E. EXCLUDING COSTS IN HEALTH-DETERMINING SECTORS SUCH AS
AGRICULTURE AND WATER AND SANITATION), IS ESTIMATED TO BE BETWEEN USD 2-4 BILLION/YEAR BY 2030.
• AREAS WITH WEAKHEALTH INFRASTRUCTURE – MOSTLY IN DEVELOPING COUNTRIES – WILL BE THE LEAST ABLE TO
COPE WITHOUTASSISTANCETO PREPAREAND RESPOND.
• REDUCING EMISSIONS OF GREENHOUSE GASES THROUGH BETTER TRANSPORT, FOOD AND ENERGY-USE CHOICES
CAN RESULT IN IMPROVED HEALTH,PARTICULARLY THROUGH REDUCED AIR POLLUTION.

8. PREDICTIVE ANALYTICS OF MONITORED
DATA
•DEMONSTRATE COMPLIANCE WITH ENVIRONMENTAL REGULATIONS.
•AVOID RESPIRATORY PATHOLOGIES AND APPLY RISK PREVENTION MEASURES.
•EXPLAIN TO CITIZENS THE REASONS FOR APPLYING TRAFFIC RESTRICTIONS IN CASE OF
HIGH POLLUTION.
•MAKE THE AIR QUALITY HEALTHIER FOR NEIGHBOURS AND ALSO FOR TOURISTS,
OBTAINING ENVIRONMENTALLY FRIENDLY DESTINATION CERTIFICATIONS.

9. EVALUATION
•TO EVALUATE WHETHER FUTURE ENVIRONMENTAL CONDITIONS FOR THE ANADROMOUS
POPULATIONS IN PLACES OF THESE REGIONS. WE PERFORMED A PRINCIPAL
COMPONENT ANALYSIS (PCA) WITH THE TOP THREE ENVIRONMENTAL VARIABLES FROM
OUR GRADIENT FOREST..
•EUCLIDEAN DISTANCE..
•LINEAR REGRESSION..

10. PRESENT SUCCESSFUL STUDIES ABOUT THE
RESEARCH
•CC MODELS
• Tracking data
• The Consideration of related CC in the globe
• Tracking models for climate change
• Predictive Analysis
• Environmental monitoring