Runoff Pollution Load Calculation with Sub-Catchment Coefficients
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Solution Overview
Problem
Current methods for calculating runoff pollution load in urban areas face challenges in timeliness and accuracy due to the seasonality and randomness of rainfall, requiring large amounts of monitoring data and leading to long calculation cycles and errors.
Innovation Solution
A method and apparatus that utilize a benchmark runoff pollution load equivalent of a pre-selected catchment area in a preset year, determining load characteristic factors and characteristic coefficients to quickly calculate the runoff pollution load of each sub-catchment area, then summing these to determine the target discharge outlet load, incorporating features like road square, building roof, green space, and terrain slope factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical model method is used to calculate runoff pollution load by analyzing large amounts of actually measured data, then the calculation can be performed, but the timeliness and accuracy are difficult to ensure due to seasonality and randomness of rainfall
Solution Approach 1:
The patent divides the target area into multiple feature areas with different area related features, and each feature area is further divided into multiple sub-catchment areas. This segmentation allows the calculation to be performed on smaller, more manageable units with similar characteristics, improving both accuracy and efficiency by reducing the complexity of analyzing the entire area as a single unit.
Solution Approach 2:
The patent performs preliminary classification of sub-catchment areas into feature areas based on area related features before conducting the actual pollution load calculation. This preliminary action organizes the data structure in advance, enabling more efficient processing during the calculation phase and reducing the overall calculation cycle time while maintaining accuracy.
2Measurement precision
If large amounts of monitoring data are collected and analyzed to calculate runoff pollution load, then the calculation can be performed, but the calculation cycle becomes long and errors increase due to monitoring randomness
Solution Approach 1:
By segmenting the target area into feature areas and sub-catchment areas, the patent reduces the volume of data that needs to be processed at any one time. Each sub-catchment area can be calculated independently using its own monitoring data, which significantly improves calculation efficiency while maintaining or even enhancing accuracy through localized analysis.
Solution Approach 2:
The patent performs calculations on a per-sub-catchment basis rather than requiring complete data sets for the entire target area. This partial action approach allows the calculation to proceed with available data from individual sub-catchments, improving productivity by avoiding waiting for complete data sets while still achieving accurate results through aggregation of partial results.
3Measurement precision
If repeated monitoring is conducted to reduce calculation errors, then the accuracy can be improved, but the time consumption and complexity increase
Solution Approach 1:
The patent reduces monitoring complexity by dividing the area into feature areas and sub-catchment areas, where monitoring can be performed at representative locations within each sub-catchment. This segmentation allows for fewer, more strategically placed monitoring points compared to comprehensive monitoring of the entire area, thereby reducing system complexity while maintaining or improving accuracy through the representative nature of each sub-unit.
Solution Approach 2:
The patent uses characteristic coefficients derived from one sub-catchment area to represent and calculate pollution loads in other sub-catchment areas with similar features. This copying approach eliminates the need for repeated extensive monitoring across all areas, as the monitoring data from one representative sub-catchment can be applied to others through the characteristic coefficient method, reducing both time consumption and monitoring system complexity.
Data Source
AI summary
The present application provides a calculation method of a runoff pollution load, including: determining a target discharge outlet of a to-be-calculated runoff pollution load in a target area; for any sub-catchment area corresponding to the target discharge outlet, obtaining a load characteristic factor corresponding to a current sub-catchment area and a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; determining a runoff pollution load of the current sub-catchment area based on the load characteristic factor and the characteristic coefficient; determining a sum of runoff pollution loads of respective sub-catchment areas corresponding to the target discharge outlet, and performing a correction processing on the sum of runoff pollution loads based on a time correction factor between a target year and the preset year, to determine a target runoff pollution load of the target discharge outlet in the target year.