A hilly mountainous basin water quality pollution prediction method based on a SWAT model and a PLUS model
By combining the SWAT and PLUS models and comprehensively considering hydrological processes and land use change, the accuracy problem of water pollution prediction in hilly and mountainous areas has been solved, providing a scientific basis for water quality management.
CN122154989APending Publication Date: 2026-06-05BEIJING NORMAL UNIVERSITY
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Patent Information
- Application Number
- CN202510691200.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-27
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
Traditional models are unable to accurately simulate the complex hydrological processes and water quality changes in hilly and mountainous areas, and cannot meet the needs of refined water quality management.
Method used
By combining the SWAT hydrological model and the PLUS land use prediction model, and through data collection and preprocessing, model construction and calibration, and coupled simulation, the impact of hydrological processes and land use change on water quality is comprehensively considered.
Benefits of technology
It improves the accuracy and reliability of water pollution prediction, provides scientific evidence to support watershed water environment management, and is applicable to hilly and mountainous watersheds of different scales.
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Figure CN122154989A_ABST
Abstract
The application discloses a hilly mountainous basin water quality pollution prediction method based on a SWAT hydrological model and a PLUS land use prediction model, and comprises the following steps: data collection and preprocessing: collecting relevant data of a basin to be predicted and preprocessing; SWAT model construction and rating: constructing a SWAT model of the basin, and rating and verifying model parameters by using historical hydrological and water quality data; PLUS model construction and land use prediction: constructing a PLUS model of the basin based on historical land use data and driving factor data, and simulating land use changes under different future scenarios; SWAT-PLUS model coupling: inputting future land use data predicted by the PLUS model into the SWAT model, simulating hydrological processes and water quality changes under different future scenarios; water quality pollution prediction and analysis. The application can comprehensively consider the influence of hydrological processes and land use changes on water quality pollution, thereby accurately predicting the water quality pollution condition of the hilly mountainous basin, and providing a scientific basis for basin water environment management.
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