Multi-Scale Spatial Relationship Between Runoff and Landscape Pattern in the Poyang Lake Basin of China DOI Open Access
Panfeng Dou, Yunfeng Tian,

Jinfeng Zhang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3501 - 3501

Published: Dec. 5, 2024

Runoff research serves as the foundation for watershed management, and relationship between runoff landscape pattern represents a crucial basis decision-making in context of ecological protection restoration. However, there is paucity investigating multi-scale spatial patterns. This study employs Poyang Lake Basin (PLB) case illustrative purposes. The construction soil water assessment tool (SWAT) model initial step process carrying out simulation, which turn allows analysis spatial–temporal characteristics runoff. Subsequently, Pearson’s correlation analysis, global linear regression geographically weighted (GWR) models are employed to examine impact composition on Finally, investigated at class scales. results demonstrate following: (1) PLB exhibited considerable heterogeneity from 2011 2020. (2) Forest was most prevalent type within PLB. Landscape composition’s non-linear characteristics, with forest, cropland, barren, grassland influencing decreasing order. (3) A observed. At scale, patch diversity significantly influenced runoff, reducing primarily increased forest cropland areas had greatest potentially enhanced by improving edge density. (4) Nine sub-basins needing restoration were identified, pathways developed based relationships elucidates thereby providing informed technical support management watershed.

Language: Английский

A self-organizing map-based approach for groundwater model parameter identification DOI
Lixin Zhao, Hongyan Li,

Wenquan Yu

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Language: Английский

Citations

0
An intelligent SWMM calibration method and identification of urban runoff generation patterns DOI Creative Commons
Zixin Yang, Jiahong Liu, Youcan Feng

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 4, 2025

The accuracy of urban runoff simulation using the Storm Water Management Model (SWMM) largely depends on parameter calibration. This study proposes a universal and effective method to enhance model by optimizing value ranges through an unsupervised intelligent clustering algorithm. Simulation scenarios with varying proportions pervious impervious areas are established, sensitivity analysis is conducted rank key parameters identify dominant generation patterns. results show that when area less than 10%, most sensitive Zero.Imperv, N.Imperv, Dstore-Imperv, indicating primarily originates from surfaces. As increases, shifts areas, where Unit Hydrograph Model, fewer simpler calibration process, leads higher accuracy. These findings improve reliability SWMM provide reference for setting requirements under different surface conditions.

Language: Английский

Citations

0
Multi-Scale Spatial Relationship Between Runoff and Landscape Pattern in the Poyang Lake Basin of China DOI Open Access
Panfeng Dou, Yunfeng Tian,

Jinfeng Zhang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3501 - 3501

Published: Dec. 5, 2024

Runoff research serves as the foundation for watershed management, and relationship between runoff landscape pattern represents a crucial basis decision-making in context of ecological protection restoration. However, there is paucity investigating multi-scale spatial patterns. This study employs Poyang Lake Basin (PLB) case illustrative purposes. The construction soil water assessment tool (SWAT) model initial step process carrying out simulation, which turn allows analysis spatial–temporal characteristics runoff. Subsequently, Pearson’s correlation analysis, global linear regression geographically weighted (GWR) models are employed to examine impact composition on Finally, investigated at class scales. results demonstrate following: (1) PLB exhibited considerable heterogeneity from 2011 2020. (2) Forest was most prevalent type within PLB. Landscape composition’s non-linear characteristics, with forest, cropland, barren, grassland influencing decreasing order. (3) A observed. At scale, patch diversity significantly influenced runoff, reducing primarily increased forest cropland areas had greatest potentially enhanced by improving edge density. (4) Nine sub-basins needing restoration were identified, pathways developed based relationships elucidates thereby providing informed technical support management watershed.

Language: Английский

Citations

1