update advanced code with picture

Author: AbuBakkar32

UniversityProject/09_Policy_Heatmap_DayHour.png

@@ -853,4 +853,35 @@
 plt.tight_layout()
 plt.savefig('08_Detailed_Model_Predictions_Comparison.png', dpi=200, bbox_inches='tight')
 print("✓ Saved: 08_Detailed_Model_Predictions_Comparison.png")
-plt.close()
+plt.close()
+
+print("\n" + "="*80)
+print("STEP 14: KEY RECOMMENDATIONS AND CONCLUSIONS")
+print("="*80)
+print("""
+6.2 RECOMMENDATIONS FOR AIR QUALITY MANAGEMENT:
+
+1. Temporal Focus Areas:
+   • Peak Days: Friday shows highest benzene levels (avg 11.9 µg/m³)
+   • Peak Hours: Morning (8-10 AM) and Evening (6-9 PM) require attention
+   • Seasonal: October-November period shows 30% higher concentrations
+   • Weekend Effect: Weekend levels are 37% lower than weekdays
+
+2. Mitigation Strategies:
+   • Implement stricter emission controls during Oct-Nov heating season
+   • Deploy traffic reduction policies on forecast high-benzene days
+   • Focus on Friday traffic management (highest pollution day)
+   • Create low-emission zones during morning (8-10 AM) and evening (6-9 PM) peaks
+
+3. Monitoring and Early Warning:
+   • Monitor CO(GT) and NOx(GT) as leading indicators (r=0.804 and 0.758)
+   • Track PT08.S5(O3) levels as early warning signal for benzene events
+   • Use 24-hour lag feature for next-day predictions (r=0.73)
+   • Implement real-time alerts when CO exceeds 2.5 mg/m³
+
+4. Model-Based Forecasting:
+   • Deploy XGBoost model for operational forecasting (R²=0.965)
+   • Update predictions hourly using lag features
+   • Integrate temperature and humidity data for improved accuracy
+   • Use ensemble approach for critical decisions
+""")