减轻茶园非点源污染:SWAT模型和缓释肥料的田间验证。

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Chia-Chun Ho, Pin-Chih Shih, Li-Chi Chiang, Yi-Xuan Lin, Hsiu-Feng Liu, Wen-Guei Chang, Guan-Zhou Lin
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引用次数: 0

摘要

茶园非点源污染对流域水质有显著影响。为了减轻NPS污染,本研究利用土壤和水评估工具(SWAT)模拟常规和缓释肥料对茶园的影响,并制定最佳管理规范(BMPs)。该模型在流域尺度和野外尺度上均进行了标定,在模拟水流、泥沙、硝态氮和磷方面具有较高的精度。模拟结果表明,缓释肥料在农田尺度上减少了0.96 kg/ha的磷损失,在流域尺度上减少了1.16 kg/ha,相当于建设36-60 m2的低影响开发(LID)。每袋缓释肥在田间和流域分别减少5.04 ~ 8.02 g和7.38 ~ 8.35 g的磷,缓释肥的减磷效果显著。该研究表明,将缓释肥料与LID措施相结合,为茶园管理和缓解河流系统的养分污染提供了可持续的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigating non-point source pollution in tea plantations: SWAT modeling and field validation of slow-release fertilizers.

Non-point source (NPS) pollution from tea plantations can significantly affect watershed water quality. To mitigate NPS pollution, this study used the Soil and Water Assessment Tool (SWAT) to simulate the impacts of conventional and slow-release fertilizers on tea plantations and to develop best management practices (BMPs) for phosphorus reduction in the Jingmei River watershed, Taiwan. The model was calibrated at both watershed and field scales, showing high accuracy in simulating streamflow, sediment, nitrate nitrogen, and phosphorus. Simulation results indicated that slow-release fertilizers reduced phosphorus losses by 0.96 kg/ha at the field scale and 1.16 kg/ha at the watershed scale, equivalent to constructing 36-60 m2 of low-impact development (LID). Each bag of slow-release fertilizer reduced phosphorus by 5.04-8.02 g at the field scale and 7.38-8.35 g at the watershed scale, highlighting their effectiveness in phosphorus reduction. This study suggests that combining slow-release fertilizers with LID measures provides a sustainable approach for managing tea plantations and mitigating nutrient pollution in river systems.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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