使用地理加权面板回归模型分析Mahakam河水质
Zabrina Nathania Fauziyah1, Suyitno Suyitno1, Darnah1
1Statistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Indonesia.
MethodsX
|January 26, 2026
概括
地理加权面板回归 (GWPR) 模型有效地绘制了影响马哈卡姆河水的因素.
科学领域:
- 环境科学 环境科学
- 空间统计的空间统计.
- 水质管理水质管理
背景情况:
- 马哈卡姆河面临生物化学氧气需求 (BOD) 的挑战.
- 了解水质的空间和时间变化至关重要.
- 现有的模型可能无法完全捕捉河流生态系统的空间异质性.
研究的目的:
- 将地理权重面板回归 (GWPR) 模型应用于马哈卡姆河水质数据.
- 识别和绘制不同地点和时间影响生化氧需求 (BOD) 的关键因素.
- 将GWPR的性能与全球固定效应模型 (FEM) 的性能进行比较.
主要方法:
- 利用了2022-2024年马哈卡姆河水 BOD 的面板数据.
- 采用GWPR模型,将FEM作为全球模型,并将时间效应的低转换纳入.
- 使用R,GNU Octave,QGIS和谷歌地球进行空间分析和统计建模.
主要成果:
- GWPR模型表现出优于FEM的性能,由较低的AIC和更高的R平方 (80.321%) 证明.
- 影响BOD的关键因素被确定为温度,水pH值,色度,酸盐,氨,总悬浮固体和硫酸盐.
- 该研究成功地绘制了这些影响因素的空间分布.
结论:
- 在环境研究中,GWPR模型是分析空间异质面板数据的强大工具.
- 准确识别影响BOD因素,可为马哈卡姆河制定有针对性的水质管理战略.
- 与全球模型相比,本地分析提供了对水质动态的更细致的理解.
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