Patterns of nitrate load variability under surface water-groundwater interactions in agriculturally intensive valley watersheds

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-09-19 DOI:10.1016/j.watres.2024.122474
Yun Yang, Yiliang Yuan, Guiyao Xiong, Ziyue Yin, Yong Guo, Jian Song, Xiaobin Zhu, Jianfeng Wu, Jinguo Wang, Jichun Wu
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Abstract

Nitrate pollution is a significant environmental issue closely related to human activities, complicated hydrological interactions and nitrate fate in the valley watershed strongly affects nitrate load in hydrological systems. In this study, a nitrate reactive transport model by coupling SWAT-MODFLOW-RT3D between surface water and groundwater interactions at the watershed scale was developed, which was used to reproduce the interaction between surface water and groundwater in the basin from 2016 to 2019 and to reveal the nitrogen transformation process and the evolving trend of nitrate load within the hydrological system of the valley watershed. The results showed that the basin exhibited groundwater recharge to surface water in 2016–2019, particularly in the northwestern and northeastern mountainous regions of the valley watershed and the southern Beishan Reservoir vicinity. Groundwater recharge to surface water declined by 20.17 % from 2016 to 2019 due to precipitation. Nitrate loads in the hydrologic system of the watershed are primarily derived from human activities (including fertilizer application from agricultural activities and residential wastewater discharges) and the nitrogen cycle. Nitrate loads in surface water declined 16.05 % from 2016 to 2019. Nitrate levels are higher in agricultural farming and residential areas on the eastern and northern sides of the watershed. Additionally, hydrological interactions are usually accompanied by material accumulation and environmental changes. Nitrate levels tend to rise with converging water flows, a process that becomes more pronounced during precipitation events and cropping seasons in agriculturally intensive valley watersheds. However, environmental changes alter nitrogen transformation processes. Nitrogen fixation, nitrification, and ammonification intensify nitrogen inputs during river pooling, enhancing nitrogen cycling fluxes and elevating nitrate loads. These processes are further enhanced during groundwater recharge to surface water, leading to evaluated nitrate load. Enhanced denitrification, dissimilatory nitrate reduction to ammonium (DNRA), anaerobic ammonia oxidation, and assimilation promote the nitrogen export from the system and reduce the nitrate load during surface water recharge to groundwater.
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农业密集型河谷流域地表水-地下水相互作用下的硝酸盐负荷变化模式
硝酸盐污染是一个与人类活动密切相关的重大环境问题,流域内复杂的水文相互作用和硝酸盐的归宿对水文系统中的硝酸盐负荷有很大影响。本研究通过SWAT-MODFLOW-RT3D耦合流域尺度地表水与地下水相互作用,建立了硝酸盐反应输运模型,用于再现流域2016-2019年地表水与地下水相互作用,揭示流域水文系统内氮转化过程及硝酸盐负荷演变趋势。结果表明,2016-2019年流域呈现地下水补给地表水的特征,尤其是流域西北部、东北部山区和南部北山水库附近地区。受降水影响,2016-2019 年地下水对地表水的补给量下降了 20.17%。流域水文系统中的硝酸盐负荷主要来自人类活动(包括农业活动施肥和居民废水排放)和氮循环。从 2016 年到 2019 年,地表水中的硝酸盐负荷下降了 16.05%。流域东部和北部的农业耕作区和居民区的硝酸盐含量较高。此外,水文相互作用通常伴随着物质积累和环境变化。硝酸盐含量往往会随着水流的汇聚而上升,这一过程在降水事件和农业密集型河谷流域的耕作季节会变得更加明显。然而,环境变化会改变氮转化过程。固氮、硝化和氨化过程会加强河流汇集时的氮输入,从而提高氮循环通量并增加硝酸盐负荷。在地下水补给地表水时,这些过程会进一步加强,从而导致硝酸盐负荷增加。在地表水补给地下水期间,强化的反硝化作用、硝酸盐还原成铵的异化作用(DNRA)、厌氧氨氧化作用和同化作用会促进氮从系统中排出,并减少硝酸盐负荷。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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