Watershed Emission Allocation via Environmental Efficiency Index
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Solution Overview
Problem
Current total pollution load emission reduction schemes in water environments are inefficient due to lack of consideration for economic and social impacts, leading to restricted regional development and low feasibility in implementing land-sea water environment protection strategies.
Innovation Solution
A method and system that divide watersheds into control units based on terrain elevation data, estimate pollution loads using output coefficients, calculate relative environmental efficiency through DEA, and quantify contribution rates to allocate emission reductions considering both economic benefits and environmental impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If emission reduction is allocated based on pollution load contribution proportion, then water environment quality is improved, but economic and social development is restricted
Solution Approach 1:
The patent changes the allocation parameter from pure pollution load contribution to a composite index that incorporates both pollution contribution and economic-social development factors. By introducing the comprehensive evaluation index that weights both environmental and economic dimensions, the system achieves a balanced allocation that improves water quality while preserving regional development capabilities.
Solution Approach 2:
The patent applies local quality by differentiating allocation strategies for different control units based on their specific characteristics. Each control unit receives a customized emission reduction target based on its pollution contribution, economic output, and development needs, rather than a uniform allocation. This allows high-value regions to maintain more favorable emission reduction targets while still contributing to overall water quality improvement.
2Ease of manufacture
If emission reduction is allocated based on management decision maker experience, then implementation is simplified, but scientific accuracy and fairness are reduced
Solution Approach 1:
The patent replaces the mechanical system of expert-based subjective judgment with an automated computational system. The comprehensive evaluation index is calculated through standardized mathematical formulas that process objective data (pollution load measurements, economic indicators, social development metrics). This substitution eliminates subjective bias while maintaining ease of implementation through automated calculations and clear algorithmic procedures.
Solution Approach 2:
The system performs self-service by automatically calculating emission reduction allocations based on objective data inputs. The computational model processes pollution load measurements, economic data, and social indicators to generate allocation recommendations without requiring continuous expert intervention. This automation maintains high accuracy while simplifying the implementation process through standardized procedures.
3Object-affected harmful factors
If total emission reduction target is set without considering regional differences, then overall water quality improvement is achieved, but regional equity and feasibility are reduced
Solution Approach 1:
The patent segments the watershed into multiple control units (e.g., counties, districts, or administrative regions) that can be independently evaluated and allocated. Each segment is assessed using the comprehensive evaluation index tailored to its specific conditions. This segmentation allows the overall emission reduction target to be distributed in a way that respects regional differences in pollution contribution, economic capacity, and development needs, thereby improving both water quality and regional equity.
Solution Approach 2:
The patent introduces dynamic adaptability by allowing emission reduction targets to be adjusted based on changing regional conditions. The comprehensive evaluation index can incorporate time-varying parameters such as economic growth rates, pollution control progress, and social development indicators. This dynamic approach enables the allocation system to adapt to regional-specific circumstances while maintaining commitment to overall water quality improvement goals.
Data Source
AI summary
A method, system and device for allocating total emission reduction of a water environmental pollution load are provided. The method includes: dividing a watershed based on terrain elevation information in watershed-related data to generate a plurality of watershed control units; with a watershed control unit as a basic unit, estimating a pollution load output in each watershed control unit by using an output coefficient method; acquiring GDP of each watershed control unit, and combined with the pollution load output, calculating relative environmental efficiency of each watershed control unit by using a data envelopment method; quantifying a contribution rate of a pollution load produced by each watershed control unit to a pollution load of a section of river entering the sea one by one based on a constructed watershed water environmental model; and formulating a pollutant emission reduction scheme according to the relative environmental efficiency and the contribution rate.