对于地下水深度估计的最佳插值方法
Kalid Hassen Yasin1,2, Tadele Bedo Gelete2, Anteneh Derribew Iguala3
1Department of Remote Sensing, Space Science and Geospatial Institute, Entoto Observatory and Research Center (EORC), P.O. Box 33679, Addis Ababa, Ethiopia.
MethodsX
|September 10, 2024
概括
辐射基函数 (RBF) 准确地绘制了埃塞俄比亚Dire Dawa的地下水深度,性能优于逆距离权重 (IDW) 和普通战争 (OK). 这项研究强调RBF是数据稀缺的干旱地区地下水深度插曲的优越方法.
科学领域:
- 水文地质学 水文地质学
- 地理空间分析是什么?
- 水资源管理水资源的管理.
背景情况:
- 在干旱地区,由于地表水稀缺,地下水是必不可少的.
- 准确地绘制地下水深度地图对于可持续的水资源管理至关重要.
- 埃塞俄比亚的Dire Dawa面临着水资源供应方面的挑战.
研究的目的:
- 评估和比较用于地下水深度测绘的三个空间插值技术.
- 确定最准确的方法来预测地下水深度分布在Dire Dawa.
- 为在数据稀缺环境中选择最佳插值方法提供见解.
主要方法:
- 实现了反向距离权重 (IDW),普通 kriging (OK) 和辐射基函数 (RBF).
- 在Dire Dawa市利用了56个地下水深度测量.
- 通过保留20%的数据进行交叉验证,并使用RMSE,MAE和R2进行准确性比较.
主要成果:
- 辐射基函数 (RBF) 显示出最低的RMSE (3.21 m) 和最高的R2 (0.99) 的优异性能.
- 反向距离加权 (IDW) 是第二好的方法 (RMSE = 4.68 m,R2 = 0.97).
- 通常的克里格 (OK) 的精度最低 (RMSE = 5.32 m,R2 = 0.95).
结论:
- 辐射基础函数 (RBF) 是最适合在Dire Dawa地下水深度测绘的方法.
- 这些发现支持在类似的数据稀缺的半干旱地区使用RBF.
- 这项研究有助于为当地地下水资源管理做出明智的决策.
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