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Journal Article 3

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2023 3

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Erhai Lake 2

agriculture 1

control measures 1

farmer income 1

field experiment 1

nitrogen 1

non-point source 1

phosphorus 1

pollution load 1

rainfall runoff 1

wash-off model 1

water environment 1

water pollution 1

water quality index (WQI) 1

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SPATIOTEMPORAL VARIATION OF WATER QUALITY AND ALGAL BIOMASS IN ERHAI LAKE AND ITS ENVIRONMENTAL MANAGEMENT

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 566-578 doi: 10.15302/J-FASE-2023520

Abstract: This study analyzed the spatiotemporal variability of water quality and algal biomass in Erhai Lake fromThe results showed that the historical changes in the water environment of Erhai Lake mainly had threeThe water environment of Erhai Lake is currently improving significantly, starting in the southern area

Keywords： Erhai Lake control measures water environment water quality index (WQI)

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AGRICULTURAL GREEN DEVELOPMENT IN THE ERHAI LAKE BASIN—THE WAY FORWARD

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 510-517 doi: 10.15302/J-FASE-2023524

Abstract: Using Erhai Lake basin in Yunnan Province as a case study, three main challenges were identified for

Keywords： agriculture farmer income nitrogen phosphorus water pollution

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ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 553-565 doi: 10.15302/J-FASE-2023519

Abstract:

The growing need to mitigate rainfall-runoff pollution, especially first flush, calls for accurate quantification of pollution load and the refined understanding of its spatial-temporal variation. The wash-off model has advantages in modeling rainfall-runoff pollution due to the inclusion of two key physical processes, build-up and wash-off. However, this disregards pollution load from wet precipitation and the relationship between rainfall and runoff, leading to uncertainties in model outputs. This study integrated the Soil Conservation Service curve number (SCS-CN) into the wash-off model and added pollutant load from wet precipitation to enhance the rainfall-runoff pollution modeling. The enhanced wash-off model was validated in a typical rural-residential area. The results showed that the model performed better than the established wash-off model and the commonly-used event mean concentrations method, and identified two different modes of pollution characteristics dominated by land pollution and rainfall pollution, respectively. In addition, the model simulated more accurate pollutant concentrations at high-temporal-resolution. From this, it was found that 12% of the total runoff contained 80% to 95% of the total load for chemical oxygen demand, total N, and total P, whereas it contained only 15% of the total load for NH₄⁺-N. The enhanced model can provide deeper insights into non-point pollution mitigation.

Keywords： Erhai Lake field experiment non-point source pollution load rainfall runoff wash-off model