Jing Yaru, Zhao Qinghe, Lu Mengwen, Wang An, Yu Jinhai, Liu Yi, Ding Shengyan
Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of the Ministry of Education, Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, College of Geography and Environmental Science, Henan University, Kaifeng, Henan 475004, China.
Sci Total Environ. 2022 Jun 20;826:154189. doi: 10.1016/j.scitotenv.2022.154189. Epub 2022 Feb 28.
Road and river networks in mountainous watersheds play an important role in transporting eroded sediments. However, the underlying transport mechanisms remain poorly understood, particularly in terms of how alterations to flow paths caused by road and river networks influence sediment connectivity. Therefore, using data from the Dongshuanghe (DSH) watershed in the Dabie Mountain in Central China, this study investigated the spatial relationships between road and river networks, analyzed the effects of road and river networks on the spatial distribution of sediment connectivity, and determined the primary factors influencing sediment connectivity. The primary factors were identified using the index of connectivity (IC), buffer analysis, a random forest (RF) model, and a geographical detector model (GDM). The results indicated that road and river networks were spatially closely associated: closer to rivers, the density of high-grade roads increased, while farther from road-river crossings, the length and density of rivers and high-grade roads decreased. Both road and river networks affected the IC. In particular, for permanent drainage lines or local sinks, the average value of IC (i.e., IC affected by road networks, -0.97) was higher than that of IC (-2.17). Thus, values of IC decreased substantially with increasing distance to the closest roads (R = 0.73). However, beyond a threshold of 150 m, the effect of roads on IC gradually diminished. In addition, the structural characteristics of road networks, particularly slope (Road_S), had greater explanatory power for spatial variation in the IC. In conclusion, compared to the river networks, the effect of road networks on IC was more important, which was not only reflected in the spatial distribution of IC, but also in the factors influencing IC
山区流域的道路和河网在侵蚀沉积物的输运中起着重要作用。然而,其潜在的输运机制仍知之甚少,特别是道路和河网引起的流径变化如何影响沉积物连通性方面。因此,本研究利用中国中部大别山双山河(DSH)流域的数据,调查了道路和河网之间的空间关系,分析了道路和河网对沉积物连通性空间分布的影响,并确定了影响沉积物连通性的主要因素。使用连通性指数(IC)、缓冲区分析、随机森林(RF)模型和地理探测器模型(GDM)来识别主要因素。结果表明,道路和河网在空间上密切相关:靠近河流,高等级道路密度增加;而离道路与河流交叉处越远,河流和高等级道路的长度和密度降低。道路和河网都影响IC。特别是对于永久性排水线或局部汇水区,IC的平均值(即受道路网络影响的IC,-0.97)高于IC的值(-2.17)。因此,IC值随着与最近道路距离的增加而大幅下降(R = 0.73)。然而,超过150米的阈值后,道路对IC的影响逐渐减弱。此外,道路网络的结构特征,特别是坡度(Road_S),对IC的空间变化具有更大的解释力。总之,与河网相比,道路网络对IC的影响更为重要,这不仅体现在IC的空间分布上,也体现在影响IC的因素上