Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis
Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis
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DOI：
10.1016/j.ecolmodel.2015.07.009
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发表时间：
2015-10-24
影响因子：
3.1
通讯作者：
Fohrer, Nicola
中科院分区：
文献类型：
--
作者：
Haas, Marcelo B.;Guse, Bjoern;Fohrer, Nicola
河流系统受到来自景观的养分输入的影响。硝酸盐从农业区进入河流系统的运输与许多过程有关，这些过程同时发生并相互影响。生态水文模型旨在代表这些复杂的硝酸盐过程。为了获得可靠的模型结果，有必要更好地理解模型中的硝酸盐过程动力学，本研究旨在通过使用时间诊断模型分析来提高对硝酸盐过程动力学的理解。作为诊断工具，时间参数敏感性分析应用于生态水文模型。利用该方法对模型中的主要参数进行了相位检测，结果表明不同硝酸盐参数的敏感性随时间变化。这些占主导地位的参数的时间动态可以解释在硝酸盐运输和植物吸收过程中的时间变化。通过分析不同的模拟径流成分和硝酸盐途径，获得了更好的视图的时间参数敏感性的动态。因此，时间参数敏感性分析有助于解释占主导地位的硝酸盐途径的季节性变化。(C)2015爱思唯尔B.V.保留所有权利。
River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models.This study aims to improve the understanding of nitrate process dynamics by using a temporal diagnostic model analysis. As diagnostic tool, a temporal parameter sensitivity analysis is applied on an ecohydrological model. With this method, phases of dominant model parameters are detected.The results show that the sensitivity of different nitrate parameters varies temporally. These temporal dynamics in dominant parameters can be explained by temporal variations in nitrate transport and plant uptake processes. A better view on the dynamics of the temporal parameter sensitivity is obtained by analyzing different modeled runoff components and nitrate pathways. Thus, a temporal parameter sensitivity analysis assists the interpretation of seasonal variations in dominant nitrate pathways. (C) 2015 Elsevier B.V. All rights reserved.