Abstract
Diffusion-limited aggregation (DLA) model has been widely used to simulate fractal aggregation processes. This DLA model and its improved model growth diffusion-limited aggregation (GDLA) can reasonably plan and manage rivers within the basin scale. In this paper, the growth and evolution of the river network at the basin scale were simulated using the Northwest China Basin as the study area. To achieve this research goal, this paper used gas injection system image processing technology and data analysis methods for overall processing and distributed processing of river basin remote sensing data. A new growth method, unit-gradient growth, was added to the standard DLA model, and a combination of the extracted Daxia River Basin geomorphological features and DEM data was used to optimize the Brownian motion of the model particle growth method. A computational model was proposed: GDLA model to predict the river network growth in the study area. The fractal dimension of the river network in the study area was extracted and corrected by the box-counting method. Finally, the predicted river network was compared with the extracted actual river network. The included angle cosine method was used for modeling evaluation and analysis. The results showed that the fractal dimension of the Daxia River Basin and sub-basin water systems was less than 1.6, indicating that the basin geomorphology was in its infancy. The structural similarity degrees were greater than 0.99, indicating that the GDLA model had a better simulation on fractal river networks, which can successfully reproduce and predict different morphological two-dimensional river networks. Studies showed that using GDLA to model fractal river networks can better predict the river network growth and evolution, ultimately promoting sustainable development of river basin water management.
Highlights
Proper planning of the river basin is crucial to the construction development in different regions
The results showed that the fractal dimension of the Daxia River Basin and sub-basin water systems was less than 1.6, indicating that the basin geomorphology was in its infancy
Studies showed that using growth diffusion-limited aggregation (GDLA) to model fractal river networks can better predict the river network growth and evolution, promoting sustainable development of river basin water management
Summary
Proper planning of the river basin is crucial to the construction development in different regions. Decision-makers need to make plans based on analysis and simulation of the river basin in the regions with recent disasters, major property losses, casualties, and basin pressure caused by unreasonable human intervention.. A model for rainwater management was developed to reduce rainwater runoff, control flash floods, and alleviate non-point source pollution caused by the impervious surface increase in urban areas.. A model for rainwater management was developed to reduce rainwater runoff, control flash floods, and alleviate non-point source pollution caused by the impervious surface increase in urban areas.5 This model can provide valuable information and suggestions for local basin managers to formulate future basin planning schemes and the best rainwater construction management practices Decision-makers need to make plans based on analysis and simulation of the river basin in the regions with recent disasters, major property losses, casualties, and basin pressure caused by unreasonable human intervention. To develop basic management strategies that meet water quality goals, a combination of basin simulation, cost estimation, and optimization algorithms is required. basin flood disasters are one of the most destructive natural events causing huge property and resource losses worldwide. A spatial probabilistic multi-criteria decision framework is developed by incorporating uncertainty of flood parameters to enable decision-makers for selecting the optimum flood management schemes. a model for rainwater management was developed to reduce rainwater runoff, control flash floods, and alleviate non-point source pollution caused by the impervious surface increase in urban areas. This model can provide valuable information and suggestions for local basin managers to formulate future basin planning schemes and the best rainwater construction management practices
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