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Updated: Jun 5, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Evaluation and source identification of water pollution.

Huaibin Wei¹, Haojie Qiu², Jing Liu³

¹School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Ecotoxicology and Environmental Safety

|December 13, 2024

Summary

Surface water pollution in Henan Province shows a pattern of heavy pollution in central areas like Zhengzhou, Luoyang, and Kaifeng. Urban sewage and industrial wastewater are key drivers of this surface water quality decline.

Keywords:

Pollution areas identification Random forest Source analysis Spatial clustering pattern Water quality

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Area of Science:

Environmental Science
Water Resource Management
Spatial Analysis

Background:

Henan Province faces significant water scarcity and severe surface water pollution.
Maintaining surface water quality is critical for ecosystem health and human well-being.

Purpose of the Study:

To analyze the spatial patterns and sources of surface water pollution in Henan Province.
To provide data-driven insights for effective regional water pollution management.

Main Methods:

Collected extensive surface water quality monitoring data.
Applied spatial autocorrelation and random forest models to identify pollution hotspots and their drivers.

Main Results:

Surface water quality pollution exhibits a pattern: insignificant in the north, heavy in central regions (Zhengzhou, Luoyang, Kaifeng), and light in the south.
Key water quality indicators in polluted areas include chemical oxygen demand (COD_Mn), dissolved oxygen (DO), ammonia nitrogen (NH₃-N), and total phosphorus (TP).
Urban sewage and industrial wastewater are identified as primary sources of water quality degradation.

Conclusions:

The study provides a scientific foundation for systematic surface water quality management in Henan Province.
Findings offer valuable references for regional water pollution control strategies.