diff --git a/src/core/handlers/step11_map_handler.py b/src/core/handlers/step11_map_handler.py
index 43a1d54..7d90ae9 100644
--- a/src/core/handlers/step11_map_handler.py
+++ b/src/core/handlers/step11_map_handler.py
@@ -206,42 +206,32 @@ class Step11MapHandler(BaseStepHandler):
                 context.notify('step11_map', 'warning',
                               f'共享上下文预计算失败: {e}，回退逐个处理')
 
-        # ── 多进程并行（GDAL 线程不安全，但进程隔离下安全）──
+        # ── 顺序生成（避免 Windows spawn 下 ProcessPoolExecutor 死锁）──
+        # 局部 Kriging 内部已做 16 块顺序分块，每块 ~20-30s，
+        # 每张图约 5-8 分钟。64 张 ≈ 5-8 小时，但进度完全透明可见。
         generated: List[str] = []
         errors: Dict[str, str] = {}
 
-        import multiprocessing
-        from concurrent.futures import ProcessPoolExecutor, as_completed
+        context.notify('step11_map', 'info',
+                       f'顺序生成 {total} 张专题图（局部 Kriging 自适应分块）')
 
-        # 留出 1-2 个核心保证电脑不卡死
-        max_workers = max(1, multiprocessing.cpu_count() - 2)
-        context.notify('step11_map', 'info', f'使用 {max_workers} 个进程并行生成')
+        for idx, csv_p in enumerate(csv_paths):
+            percent = int(idx / total * 100)
+            context.notify('step11_map', 'info',
+                          f'专题图 [{idx+1}/{total}]: {Path(csv_p).name}')
 
-        with ProcessPoolExecutor(max_workers=max_workers) as executor:
-            future_to_csv = {
-                executor.submit(_process_one_map, csv_p, base_kwargs, output_dir): csv_p
-                for csv_p in csv_paths
-            }
-            done_count = 0
-            for future in as_completed(future_to_csv):
-                csv_p = future_to_csv[future]
-                done_count += 1
-                try:
-                    result_path, _ = future.result()
-                    generated.append(result_path)
-                except Exception as e:
-                    errors[csv_p] = str(e)
-                    context.notify('step11_map', 'warning',
-                                  f'专题图 FAIL: {Path(csv_p).name} — {e}')
+            global_event_bus.publish('ProgressUpdate', {
+                'percentage': percent,
+                'message': f'Step11: {idx+1}/{total} {Path(csv_p).stem}',
+            })
 
-                pct = int(done_count / total * 100)
-                global_event_bus.publish('ProgressUpdate', {
-                    'percentage': pct,
-                    'message': f'Step11 专题图: {done_count}/{total}',
-                })
-                if done_count % max(1, total // 10) == 0 or done_count == total:
-                    context.notify('step11_map', 'info',
-                                  f'专题图 [{done_count}/{total}]')
+            try:
+                result_path, _ = _process_one_map(csv_p, base_kwargs, output_dir)
+                generated.append(result_path)
+            except Exception as e:
+                errors[csv_p] = str(e)
+                context.notify('step11_map', 'warning',
+                              f'专题图 FAIL: {Path(csv_p).name} — {e}')
 
         step_end_time = time.time()
         elapsed = step_end_time - step_start_time