diff --git a/p3/water_supply_analysis.py b/p3/water_supply_analysis.py
index 4994f1e..40759a5 100644
--- a/p3/water_supply_analysis.py
+++ b/p3/water_supply_analysis.py
@@ -484,6 +484,133 @@ def plot_scenario_comparison(
     return fig
 
 
+def plot_scenario_comparison_combined(
+    results: List[Dict],
+    water_demand: Dict,
+    alpha: float = None,
+    save_dir: str = '/Volumes/Files/code/mm/20260130_b/p3'
+):
+    """绘制方案对比图（Energy和Time合并显示）- 马卡龙色系简约版"""
+    
+    # 缩小图片尺寸，相对增大字体
+    fig, axes = plt.subplots(1, 2, figsize=(10, 4.5))
+    
+    scenarios = [r['scenario_name_cn'] for r in results]
+    scenario_labels = ['S1\nElevator', 'S2\nRocket', 'S3\nCombined\n(All)', 'S4\nCombined\n(Low-Lat)']
+    
+    # 马卡龙色系 - 中偏低饱和度柔和色调
+    macaron_colors = ['#A8D8B9', '#F7C5A8', '#B5C7E3', '#D4B8E0']  # 薄荷绿、杏橙、雾蓝、藤紫
+    macaron_colors_dark = ['#7BC08F', '#E8A07A', '#8AA5C9', '#B896C7']  # 深色版本用于边框
+    
+    x = np.arange(len(scenarios))
+    width = 0.38
+    
+    # 获取alpha值
+    if alpha is None:
+        alpha = water_demand.get('comfort_factor', 1)
+    
+    # ========== 图1: 首批运输 (Energy + Time) ==========
+    ax1 = axes[0]
+    ax1_twin = ax1.twinx()
+    
+    initial_energy = [r['initial_energy_gj'] / 1000 for r in results]  # 转换为TJ
+    initial_days = [r['initial_days'] for r in results]
+    
+    # 左轴: Energy (TJ) - 实心柱状图
+    bars_energy = ax1.bar(x - width/2, initial_energy, width, color=macaron_colors, 
+                          edgecolor=macaron_colors_dark, linewidth=1.2, label='Energy (TJ)')
+    ax1.set_ylabel('Energy (TJ)', fontsize=11, color='#444444', fontweight='medium')
+    ax1.tick_params(axis='y', labelcolor='#444444', labelsize=9)
+    ax1.set_ylim(0, max(initial_energy) * 1.25)
+    
+    # 右轴: Time (Days) - 斜线填充柱状图
+    bars_time = []
+    for i, (xi, day) in enumerate(zip(x + width/2, initial_days)):
+        bar = ax1_twin.bar(xi, day, width, color='white', 
+                           edgecolor=macaron_colors_dark[i], linewidth=1.5, 
+                           hatch='///', label='Time (Days)' if i == 0 else '')
+        bars_time.append(bar[0])
+    ax1_twin.set_ylabel('Days', fontsize=11, color='#666666', fontweight='medium')
+    ax1_twin.tick_params(axis='y', labelcolor='#666666', labelsize=9)
+    ax1_twin.set_ylim(0, max(initial_days) * 1.25)
+    
+    # 添加数值标注 - 简洁风格
+    for bar, val in zip(bars_energy, initial_energy):
+        ax1.text(bar.get_x() + bar.get_width()/2, bar.get_height() + max(initial_energy)*0.02,
+                f'{val:.1f}', ha='center', fontsize=8, color='#333333')
+    
+    for bar, val in zip(bars_time, initial_days):
+        ax1_twin.text(bar.get_x() + bar.get_width()/2, bar.get_height() + max(initial_days)*0.02,
+                     f'{val:.1f}', ha='center', fontsize=8, color='#666666')
+    
+    ax1.set_xticks(x)
+    ax1.set_xticklabels(scenario_labels, fontsize=9)
+    ax1.spines['top'].set_visible(False)
+    ax1_twin.spines['top'].set_visible(False)
+    ax1.grid(True, alpha=0.2, axis='y', linestyle='--')
+    
+    # 简化图例
+    from matplotlib.patches import Patch
+    legend_elements = [Patch(facecolor='#B5C7E3', edgecolor='#8AA5C9', label='Energy'),
+                       Patch(facecolor='white', edgecolor='#8AA5C9', hatch='///', label='Time')]
+    ax1.legend(handles=legend_elements, loc='upper right', fontsize=8, framealpha=0.9)
+    
+    # ========== 图2: 每月补充 (Energy + Time) ==========
+    ax2 = axes[1]
+    ax2_twin = ax2.twinx()
+    
+    monthly_energy = [r['monthly_energy_gj'] / 1000 for r in results]  # 转换为TJ
+    monthly_days = [r['monthly_days'] for r in results]
+    
+    # 左轴: Energy (TJ) - 实心柱状图
+    bars_energy2 = ax2.bar(x - width/2, monthly_energy, width, color=macaron_colors,
+                           edgecolor=macaron_colors_dark, linewidth=1.2, label='Energy (TJ)')
+    ax2.set_ylabel('Energy (TJ)', fontsize=11, color='#444444', fontweight='medium')
+    ax2.tick_params(axis='y', labelcolor='#444444', labelsize=9)
+    ax2.set_ylim(0, max(monthly_energy) * 1.25)
+    
+    # 右轴: Time (Days) - 斜线填充柱状图
+    bars_time2 = []
+    for i, (xi, day) in enumerate(zip(x + width/2, monthly_days)):
+        bar = ax2_twin.bar(xi, day, width, color='white',
+                           edgecolor=macaron_colors_dark[i], linewidth=1.5,
+                           hatch='///', label='Time (Days)' if i == 0 else '')
+        bars_time2.append(bar[0])
+    ax2_twin.set_ylabel('Days', fontsize=11, color='#666666', fontweight='medium')
+    ax2_twin.tick_params(axis='y', labelcolor='#666666', labelsize=9)
+    ax2_twin.set_ylim(0, max(monthly_days) * 1.25)
+    
+    # 添加数值标注 - 简洁风格
+    for bar, val in zip(bars_energy2, monthly_energy):
+        ax2.text(bar.get_x() + bar.get_width()/2, bar.get_height() + max(monthly_energy)*0.02,
+                f'{val:.1f}', ha='center', fontsize=8, color='#333333')
+    
+    for bar, val in zip(bars_time2, monthly_days):
+        ax2_twin.text(bar.get_x() + bar.get_width()/2, bar.get_height() + max(monthly_days)*0.02,
+                     f'{val:.1f}', ha='center', fontsize=8, color='#666666')
+    
+    ax2.set_xticks(x)
+    ax2.set_xticklabels(scenario_labels, fontsize=9)
+    ax2.spines['top'].set_visible(False)
+    ax2_twin.spines['top'].set_visible(False)
+    ax2.grid(True, alpha=0.2, axis='y', linestyle='--')
+    
+    # 简化图例
+    ax2.legend(handles=legend_elements, loc='upper right', fontsize=8, framealpha=0.9)
+    
+    # 设置背景色为浅灰白色
+    fig.patch.set_facecolor('#FAFAFA')
+    for ax in [ax1, ax2]:
+        ax.set_facecolor('#FAFAFA')
+    
+    plt.tight_layout()
+    filename = f'{save_dir}/water_transport_combined_alpha{int(alpha)}.png'
+    plt.savefig(filename, dpi=150, bbox_inches='tight', facecolor='#FAFAFA')
+    print(f"合并方案对比图已保存至: {filename}")
+    
+    return fig
+
+
 def plot_water_demand_breakdown(
     water_demand: Dict,
     save_dir: str = '/Volumes/Files/code/mm/20260130_b/p3'
@@ -1063,6 +1190,10 @@ def run_water_analysis():
     plot_scenario_comparison(all_results[1], all_demands[1])
     plot_annual_comparison(all_results[1])
     
+    # 为每个alpha值生成合并图
+    for alpha in comfort_factors:
+        plot_scenario_comparison_combined(all_results[alpha], all_demands[alpha], alpha)
+    
     # 多场景对比图
     plot_multi_scenario_comparison(all_results, all_demands)
     
diff --git a/p3/water_transport_combined_alpha1.png b/p3/water_transport_combined_alpha1.png
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diff --git a/p3/water_transport_combined_alpha250.png b/p3/water_transport_combined_alpha250.png
new file mode 100644
index 0000000..1b23e8c
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diff --git a/p3/water_transport_combined_alpha50.png b/p3/water_transport_combined_alpha50.png
new file mode 100644
index 0000000..2eb9b5b
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