High Resolution Simulation of Nitrate and Ammonium From Point and Diffuse Sources in a Small Headwater Catchment

IF 3.2 3区 地球科学 Q1 Environmental Science
Caroline Spill, Matthias Gassmann
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引用次数: 0

Abstract

Catchment water quality models are common tools for assessing hydrochemical processes in catchments. They improve the process understanding and help to identify pollutant sources. However, the spatial and temporal resolution of many models is too coarse to represent processes occurring within minutes or hours, making them unsuitable for use in fast-responding catchments. Examples of such cases are headwater catchments or catchments influenced by urban agglomerations. ZIN-AgriTra is a physically based model that allows simulations with fine temporal (< 1 h) and spatial (< 100 m) resolution. As it also allows the implementation of point sources, it is suitable for the simulation of headwater catchments with mixed land use. In this study, we test for the first time the ability of ZIN-AgriTra to represent nitrogen transport and transformation processes in a point source influenced headwater catchment. High resolution time series of wastewater treatment plant (WWTP) effluent quantities were available as input to the model. For combined sewer overflow (CSO) discharges, only discharge times were measured. However, this knowledge was still valuable during the calibration process and improved the understanding of CSO contributions during events. Our model setup and modelling strategy allowed us to simulate nitrate and ammonium export from the catchment sufficiently. Overall, point sources have a significant impact of the sensitivity of model parameters by influencing the mixing ratio between point sources and stream discharge. As point sources were found to have a large impact on water quality and quantity, not considering them would inevitably lead to incorrect parameterisation of model parameters. Models should become more inclusive in order to be able to represent processes in mixed land use catchments, especially in places, where data availability is limited.

Abstract Image

小水源集水区点源和扩散源硝酸盐和铵的高分辨率模拟
集水区水质模型是评估集水区水化学过程的常用工具。它们提高了对过程的理解,并有助于确定污染源。然而,许多模型的空间和时间分辨率过于粗糙,无法表示在几分钟或几小时内发生的过程,这使得它们不适合用于快速响应的流域。这种情况的例子是水源集水区或受城市群影响的集水区。ZIN-AgriTra是一种基于物理的模型,可以进行精细的时间(1小时)和空间(100米)分辨率的模拟。由于它也允许点源的实施,因此适合于混合土地利用的水源集水区的模拟。在这项研究中,我们首次测试了锌- agritra表征氮在点源影响下的运输和转化过程的能力。高分辨率时间序列的污水处理厂(WWTP)的流出量作为输入模型。对于联合下水道溢流(CSO)排放,仅测量了排放次数。然而,这些知识在校准过程中仍然是有价值的,并提高了对事件期间CSO贡献的理解。我们的模型设置和建模策略使我们能够充分模拟集水区的硝酸盐和铵的出口。综上所述,点源通过影响点源与水流流量的混合比,对模型参数的敏感性产生显著影响。由于点源对水质和水量的影响较大,不考虑点源不可避免地会导致模型参数参数化错误。模型应更具包容性,以便能够代表混合土地利用集水区的过程,特别是在数据有限的地方。
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来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
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