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+# 基于含海岸线的网格采样数据进行二维网格加密
+
+[返回示例目录](index.md)
+
+以下保留原笔记本的代码和已保存输出；转换过程中未重新执行代码。
+
+```python
+import matplotlib.pyplot as plt
+
+plt.close("all")
+import xarray as xr
+import numpy as np
+import meshkernel
+import contextily as ctx
+from meshkernel import (
+    MakeGridParameters,
+    MeshKernel,
+    GriddedSamples,
+    ProjectionType,
+    MeshRefinementParameters,
+    RefinementType,
+)
+
+mk_version = meshkernel.__version__
+```
+
+### 水深采样数据
+
+```python
+# GEBCO 水深采样数据
+lon_np = np.array(
+    [
+        -68.54791667,
+        -68.46458333,
+        -68.38125,
+        -68.29791667,
+        -68.21458333,
+        -68.13125,
+        -68.04791667,
+        -67.96458333,
+    ]
+)
+lat_np = np.array(
+    [
+        11.80208333,
+        11.88541667,
+        11.96875,
+        12.05208333,
+        12.13541667,
+        12.21875,
+        12.30208333,
+        12.38541667,
+        12.46875,
+        12.55208333,
+    ]
+)
+values_np_2d = np.array(
+    [
+        [-1700, -1769, -1688, -1641, -1526, -1291, -1121, -1537],
+        [-1561, -1674, -1354, -757, -837, -838, -1080, -1466],
+        [-1630, -1390, -710, -562, -479, -753, -1246, -1703],
+        [-1553, -1446, -1147, -248, -175, -712, -1621, -1920],
+        [-1503, -1380, -1080, -305, 18, -543, -1563, -2241],
+        [-1477, -1571, -3, 100, 11, -891, -1521, -2446],
+        [-1892, -1808, 16, -3102, -2015, -1302, -1484, -2581],
+        [-2516, -2091, -1957, -2647, -1422, -1486, -2340, -2702],
+        [-2689, -2353, -2614, -3612, -3058, -3017, -3181, -2848],
+        [-3110, -3025, -3861, -3927, -3818, -4162, -4386, -4504],
+    ]
+)
+values_np = values_np_2d.flatten().astype(np.float32)
+```
+
+### 生成规则网格
+
+```python
+lon_min, lon_max, lat_min, lat_max = -68.55, -67.9, 11.8, 12.6
+dx = dy = 0.05
+make_grid_parameters = MakeGridParameters(
+    angle=0,
+    origin_x=lon_min,
+    origin_y=lat_min,
+    upper_right_x=lon_max,
+    upper_right_y=lat_max,
+    block_size_x=dx,
+    block_size_y=dy,
+)
+
+mk = MeshKernel(projection=ProjectionType(1))
+mk.curvilinear_compute_rectangular_grid_on_extension(make_grid_parameters)
+mk.curvilinear_convert_to_mesh2d()  # 转换为 UGrid/二维网格
+```
+
+### 执行加密
+
+```python
+gridded_samples = GriddedSamples(
+    x_coordinates=lon_np, y_coordinates=lat_np, values=values_np
+)
+```
+
+```python
+mesh_refinement_parameters = MeshRefinementParameters(
+    min_edge_size=300,  # 单位始终为米
+    refinement_type=RefinementType(1),  # 波动库朗数加密类型，枚举值为 1
+    connect_hanging_nodes=True,  # 设为 False 可分多步加密，例如分别处理多个区域
+    smoothing_iterations=2,
+    max_courant_time=120,
+)
+```
+
+```python
+mk.mesh2d_refine_based_on_gridded_samples(
+    gridded_samples=gridded_samples,
+    mesh_refinement_params=mesh_refinement_parameters,
+    use_nodal_refinement=True,
+)
+```
+
+```python
+fig, ax = plt.subplots()
+mk.mesh2d_get().plot_edges(ax=ax, linewidth=1)
+```
+
+![单元格 10 的绘图输出](images/12_mesh2d_refine_gridded_samples_coastlines_10_0.png)