p4: fig_fix

p4/environmental_impact.py

@@ -371,7 +371,7 @@ def define_scenarios() -> List[Dict]:
     elevator_fraction_knee = elevator_payload_knee / TOTAL_PAYLOAD
     # 膝点时只需要部分低纬度发射场
     scenarios.append({
-        'name': 'Combined (Knee Point)',
+        'name': 'Combined (Balanced)',
         'completion_years': knee_years,
         'elevator_fraction': elevator_fraction_knee,  # ~74.6%
         'rocket_sites': LAUNCH_SITES[:5],  # 只使用5个低纬度站点
@@ -863,7 +863,7 @@ def plot_pareto_with_environment(save_dir: str = '/Volumes/Files/code/mm/2026013
     ax1.grid(True, alpha=0.3)
     
     # 标记关键点
-    ax1.axvline(x=139, color='red', linestyle='--', alpha=0.7, label='Knee Point (139yr)')
+    ax1.axvline(x=139, color='red', linestyle='--', alpha=0.7, label='Balanced (139yr)')
     ax1.axvline(x=186, color='green', linestyle='--', alpha=0.7, label='Elevator Only (186yr)')
     ax1.legend()
     
@@ -949,7 +949,7 @@ def plot_mitigation_strategies(save_dir: str = '/Volumes/Files/code/mm/20260130_
     bars = ax.bar(x, co2_vals, color=colors)
     
     ax.set_ylabel('Total CO₂ Emissions (Mt)', fontsize=12)
-    ax.set_title('CO₂ Reduction Strategies Comparison\n(Knee Point baseline: 139 years)', fontsize=14)
+    ax.set_title('CO₂ Reduction Strategies Comparison\n(Balanced baseline: 139 years)', fontsize=14)
     ax.set_xticks(x)
     ax.set_xticklabels(names, rotation=15, ha='right')
     ax.grid(True, alpha=0.3, axis='y')
@@ -1097,7 +1097,7 @@ def plot_comprehensive_summary(save_dir: str = '/Volumes/Files/code/mm/20260130_
        - CO₂ reduction vs Rocket: {:.0f}% (primary savings from avoiding rocket fuel production)
        - No stratospheric H₂O injection from main transport
     
-    3. Combined (Knee Point): Best trade-off at 139 years with {:.0f} Mt CO₂.
+    3. Combined (Balanced): Best trade-off at 139 years with {:.0f} Mt CO₂.
        - 74.6% payload via elevator, 25.4% via low-latitude rockets
        - Reasonable timeline with significant environmental benefit
     
@@ -1116,7 +1116,7 @@ def plot_comprehensive_summary(save_dir: str = '/Volumes/Files/code/mm/20260130_
         df.loc[df['Scenario']=='Elevator Only', 'Years'].values[0],
         (1 - df.loc[df['Scenario']=='Elevator Only', 'CO2 Total (Mt)'].values[0] / 
          df.loc[df['Scenario']=='Rocket Only', 'CO2 Total (Mt)'].values[0]) * 100,
-        df.loc[df['Scenario']=='Combined (Knee Point)', 'CO2 Total (Mt)'].values[0],
+        df.loc[df['Scenario']=='Combined (Balanced)', 'CO2 Total (Mt)'].values[0],
         (1 - df.loc[df['Scenario']=='Elevator Only', 'CO2 Total (Mt)'].values[0] / 
          df.loc[df['Scenario']=='Rocket Only', 'CO2 Total (Mt)'].values[0]) * 100
     )