Temporal patterns and driving factors of sediment carbon, nitrogen, and phosphorus stoichiometry in a eutrophication plateau lake

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170016 - 170016

Published: Jan. 21, 2024

Language: Английский

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Simulation and Analysis of Water Quality Improvement Measures for Plain River Networks Based on Infoworks ICM Model: Case Study of Baoying County, China

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2698 - 2698

Published: Sept. 23, 2024

The water environment of plain river networks can be self-cleaning to a certain extent, but if the wastewater load exceeds threshold, it disturb natural balance and cause pollution. This underlines importance pollution control measures. However, development measures requires large number hydrological hydrodynamic parameters establishment corresponding relationships through modelling. Therefore, this study mainly used Infoworks ICM model construct detailed hydrological–hydrodynamic analysis for Yundong area Baoying County, Yangzhou City, China, screened main source areas time periods typical rivers in area, proposed effective improvement according actual situation area. results show that after synergistic effect multiple measures, quality reach Class III standard (GB3838-2002). provide reference management network has good application prospects.

Language: Английский

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Assessing the impact of rainfall, topography, and human disturbances on nutrient levels using integrated machine learning and GAMs models in the Choctawhatchee River Watershed

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124361 - 124361

Published: Jan. 31, 2025

Language: Английский

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Export Coefficient Modelling of Nutrient Neutrality to Protect Aquatic Habitats in the River Wensum Catchment, UK

Environments, Journal Year: 2023, Volume and Issue: 10(10), P. 168 - 168

Published: Sept. 27, 2023

The pressure of nutrient pollution derived from wastewater treatment works and agricultural runoff is a reason for the decline in ecological health aquatic habitats. Projected residential development catchments creates further loading that can be offset by management solutions maintain ‘nutrient neutrality’ either onsite or elsewhere within same catchment. This study developed an export coefficient model conjunction with detailed farm business data to explore nature-based solution neutrality involving seven scenarios crop conversion mixed woodland grazing grass area intensive arable cultivation groundwater-fed Blackwater sub-catchment River Wensum, UK. When compared monitored riverine nutrients, calculated nitrogen (N) phosphorus (P) inputs under current land use showed subsurface denitrification removing 48–78% leached N P accumulating field soils. addition 235 homes planned 2018–2038 will generate additional load 190 kg a−1 4.9 a−1. In six scenarios, modelled fractions (0.02–0.21) resulted required reduction more than sufficient (196–1874 287–2103 grass), above requirement potentially contributing improvement water quality. cost terms gross margins credits generated form 0.1 units P. For range considered, annual per credit ranged GBP 0.78–11.50 (GBP 0.74–7.85 grass) 160–782 both scenarios. It concluded viable option achieve eastern England when considered together other solutions.

Language: Английский

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Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province

Sustainability, Journal Year: 2023, Volume and Issue: 15(23), P. 16324 - 16324

Published: Nov. 27, 2023

Potential risk identification of agricultural nonpoint source pollution (ANPSP) is essential for control and sustainable agriculture. Herein, we propose a novel method potential ANPSP via comprehensive analysis sources sink factors. A assessment index system (PRAIS) was established. The proposed used to systematically evaluate the level Yichang City, Hubei Province. in City 18.86%. High-risk areas account 4.95% have characteristics such as high nitrogen phosphorus application rates, large soil erosion factors, low vegetation coverage. Compared with results Diffuse Pollution estimation Remote Sensing (DPeRS) model, area difference same calculated by PRAIS reduced 33.9% on average. This indicates that has accuracy DPeRS model identifying risks ANPSP. Thus, rapid efficient regional achieved.

Language: Английский

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Pollution load estimation and influencing factor analysis in the Tuhai River Basin in Shandong Province of China based on improved output coefficient method

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 29549 - 29562

Published: April 6, 2024

Language: Английский

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