Wastewater Loading Measurement Using Spatiotemporal Grid Analysis
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Solution Overview
Problem
Current methods for measuring domestic wastewater effluent loadings are inadequate in terms of spatial and temporal resolution, failing to accurately identify 'hotspots' and relying on macro statistics and big data that is not always available, which limits precision pollution control and water environment management.
Innovation Solution
A spatial and temporal feature-based method that calculates domestic wastewater effluent loadings using population distribution data, per capita effluent coefficients, and pollutant concentrations, divided into grids for detailed analysis, and identifies 'hotspot' periods and areas using geographic information system software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measuring methods based on coastal discharge outlet data are used, then the total amount of pollution loading can be determined, but the spatial and temporal distribution features and hotspot identification cannot be achieved
Solution Approach 1:
The patent divides the measurement region into a grid system with multiple spatial units, allowing pollution loading to be measured and analyzed at different spatial locations. This segmentation enables identification of hotspot areas while maintaining manageable data processing complexity through systematic organization of measurement units.
Solution Approach 2:
The patent introduces temporal dimensions to the measurement system by conducting measurements at multiple time points and analyzing temporal distribution patterns. This transforms single-point measurements into multi-dimensional spatiotemporal analysis, enabling identification of both spatial hotspots and temporal patterns without proportionally increasing system complexity.
2Measurement precision
If macro statistics data and effluent coefficients are used for pollution loading calculation, then the calculation process is simplified, but the spatial and temporal resolution is insufficient
Solution Approach 1:
The patent applies different effluent coefficients to different spatial units based on local characteristics such as population density, land use type, and urbanization level. This local differentiation improves spatial resolution and accuracy of pollution loading measurements while maintaining practical data collection requirements through targeted local surveys rather than comprehensive big data collection.
3Adaptability or versatility
If population distribution data and per capita effluent coefficients are used for calculation, then the method becomes flexible and universally applicable, but the requirement for detailed spatial data increases
Solution Approach 1:
The patent develops a universal calculation framework that can be applied to different regions and water bodies by integrating population distribution data, per capita effluent coefficients, and pollutant concentration measurements. The standardized grid-based approach and calculation methods enable wide applicability across different geographical contexts while using commonly available data sources.
Solution Approach 2:
The patent uses per capita effluent coefficients as intermediary parameters that bridge population data and actual pollution loading. These coefficients serve as transfer factors that convert easily obtainable population statistics into pollution load estimates, reducing the difficulty of direct measurement while maintaining calculation accuracy through empirically determined coefficient values.
Data Source
AI summary
The invention discloses a spatial and temporal feature-based method for measuring domestic wastewater effluent loadings, comprising the following steps: establish a model for measuring regional domestic wastewater effluent loadings; calculate regional population distribution raster data; obtain per capita effluent loading coefficients with spatial and temporal differences; calculate regional domestic wastewater effluent loadings; and compare and analyze the temporal fluctuation features and spatial variation features of regional domestic wastewater effluent loadings and identify “hotspot” periods and areas of effluent loadings. Compared with the prior art, the method for measuring domestic wastewater effluent loadings provided by the present invention is flexible, convenient and highly universal, which can significantly raise the temporal-spatial resolution of the pattern of regional domestic wastewater effluent loadings. The data needed are also publicly available. This invention can help identify key pollution areas and periods and lay a methodological foundation for precision pollution control.