Inverse Traceability of Non-Point Source Pollution Using Landscape Contrast Index
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Solution Overview
Problem
Conventional non-point source pollution traceability models fail to accurately simulate the impact of landscape patterns on pollution loads in watersheds, leading to uncertainty in model results and an inability to quantify contributions of different landscape types to non-point source pollution.
Innovation Solution
A method for inverse traceability of non-point source pollution in a watershed is developed, which involves acquiring basic data, determining a location-weighted landscape contrast index (LWLI) for each landscape type, and using a pre-constructed pollution traceability model to quantify pollutant contributions from each landscape type based on the LWLI and pollutant load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the export coefficient model is applied directly, then the calculation is simple, but the results cannot accurately reflect contributions of various pollution sources to water environment quality
Solution Approach 1:
The patent introduces the LWLI as an intermediary parameter that bridges the simple export coefficient model and the complex spatial landscape factors. The LWLI quantifies the impact of landscape patterns on pollutant migration, allowing the model to incorporate spatial heterogeneity without requiring complex mechanism models. This intermediary approach enables accurate pollution source contribution assessment while maintaining calculation efficiency.
2Reliability
If a mechanism model is used to account for pollutant migration and transformation, then the model is more complete, but it requires a lot of data to calibrate and verify parameters
Solution Approach 1:
The patent extracts the essential landscape pattern impact from the complex mechanism model and encapsulates it in the LWLI parameter. Instead of using the full mechanism model with its numerous parameters requiring extensive calibration data, the invention extracts only the critical landscape spatial pattern component and represents it through the LWLI, which can be calculated from basic geographic data without extensive parameter calibration.
3Measurement precision
If the coupling model of one-dimensional river water quality equation and export coefficient is used, then subjectivity and uncertainty are overcome, but the impact of land-use spatial pattern on pollution export is ignored
Solution Approach 1:
The patent merges the advantages of the coupling model (objective pollutant load calculation) with the landscape pattern consideration by integrating the LWLI into the export coefficient framework. The modified model combines the rigorous water quality equation-based load calculation with the landscape spatial pattern impact represented by LWLI, achieving both accurate pollutant load assessment and landscape pattern adaptation in a unified framework.
Data Source
AI summary
A method for inverse traceability of non-point source pollution in a watershed and a computer device are provided. The method includes: acquiring basic data of a studied watershed; determining a location-weighted landscape contrast index (LWLI) of each landscape type in the studied watershed and a pollutant load of the studied watershed in a predetermined time cycle according to the basic data; and determining, according to the pollutant load and the LWLI, based on a pre-constructed pollution traceability model, an amount of non-point source pollutants entering a river for each landscape type in the studied field.