Details

Autor(en) / Beteiligte

• Wang, J.
• Li, X.
• Wang, L.
• Zhang, Y.P.
• Yin, W.
• Bian, H.X.
• Xu, J.F.
• Hao, R.
• Xiao, H.B.
• Shi, Y.Y.
• Jiang, H.
• Shi, Z.H.

Titel

Assessing hydrological connectivity for natural-artificial catchment with a new framework integrating graph theory and network analysis

Ist Teil von

• Journal of environmental management, 2023-11, Vol.346, p.119055-119055, Article 119055

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Anthropogenic activities alter the underlying surface conditions and arrangements of landscape features in a drainage basin, interfering with the pollutant (e.g., dissolved nitrogen, phosphorus) transport network configuration and altering the hydrological response. Assessing the impact of anthropogenic activities on hydrological connectivity for natural-artificial catchment is critical to understand the hydrological-driven ecosystem processes, services and biodiversity. However, quantifying this impact at catchment scale remains challenging. In this study, a new framework was proposed to quantify the impact of anthropogenic activities on hydrological connectivity combined with graph theory and network analysis. This framework was exemplified in a natural-artificial catchment of the Yangtze River basin of China. Based on remote sensing and field-investigated data, three transport networks were constructed, including natural transport network (N1), ditch–road transport network (N2), and terrace–dominated transport network (N3), which reflected the different human intervention. The results showed that human intervention improved the connectivity of the nodes and enhanced the complexity of the catchment transport network structure. Anthropogenic activities significantly decreased the hydrological structural connectivity of the catchment. In particular, compared with the N1 network, the critical nodes for hydrological connectivity which were judged by connectivity indexes were reduced by 92.94% and 95.29% in the N2 and N3 network, respectively. Furthermore, the ditch–road construction had a greater impact than terraces in decreasing hydrological structural connectivity at catchment scale. This framework has proven effective in quantifying the hydrological connectivity analysis under different human intervention at the catchment scale and facilitates the improvement of catchment management strategies. •A new framework was proposed to identify catchment hydrological connectivity.•Graph theory combined with network analysis were integrated into the framework.•Three transport networks were constructed to exemplify the framework.•Ditches, roads, and terraces significantly decreased hydrological connectivity.