Spatial Variations and Influencing Factors of River Networks in River Basins of China.

Spatial Variations and Influencing Factors of River Networks in River Basins of China.
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DOI:
10.3390/ijerph182211910
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发表时间:
2021-11-12
影响因子:
--
通讯作者:
Xiao J
Xiao J
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Zheng Y;Yu C;Zhou H;Xiao J

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分析河网的空间变化及其影响因素,对流域的管理和保护具有重要意义。为深入了解大流域间河网的空间变化及其影响因素,选取了我国南北三大流域(松花江流域、黄河流域和珠江流域)为研究对象。首先,基于数字高程模型,使用ArcGIS提取了三个流域的不同河网和六个流域累积阈值。通过拟合累积阈值与相应排水密度的关系,确定了最优排水网。然后,我们使用两个指标,排水密度和水面率,来表征三个流域的空间变化。最后,皮尔森的相关系数之间的这两个指标和自然/人类的影响因素进行了计算。结果表明,我国流域密度和水面率由北向南逐渐减小,与自然/人为影响因子呈负相关。排水密度受自然因素的影响大于受人为因素的影响,而水面率则相反。这些研究结果可为河网的管理和保护提供一定的依据。
Analysis of the spatial variations in river networks and the related influencing factors is crucial for the management and protection of basins. To gain insight into the spatial variations and influencing factors of river networks between large basins, in this study, three river basins from north to south in China (Songhua River Basin, Yellow River Basin and Pearl River Basin) were selected for investigation. First, based on a digital elevation model, different river networks with six drainage accumulation thresholds of three basins were extracted using ArcGIS. The optimal networks were determined through fitting the relationship between the accumulation threshold and related drainage density. Then, we used two indicators, drainage density and water surface ratio, to characterize the spatial variations of three basins. Finally, Pearson’s correlation coefficients were calculated between those two indicators and natural/human influencing factors. The results showed that drainage density and water surface ratio decreased from north to south in China and were negatively correlated with natural/human influencing factors. Drainage density was more influenced by natural factors than by human factors, while the opposite was true for water surface ratio. These findings may provide some basis for the management and protection of the river network.
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