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一种新的方法可以推广到整个区域的河岸带水质和空气质量功能。

A new approach to generalizing riparian water and air quality function across regions.

机构信息

Department of Forest and Natural Resources Management, The State University of New York College of Environmental Science and Forestry (SUNY ESF), 1 Forestry Drive, Syracuse, NY, 13201, USA.

Department of Natural Resources, University of Rhode Island, Kingston, RI, 02881, USA.

出版信息

Environ Monit Assess. 2019 Apr 16;191(5):282. doi: 10.1007/s10661-019-7443-y.

Abstract

There is growing interest in generalizing the impact of hydrogeomorphology and weather variables on riparian functions. Here, we used RZ-TRADEOFF to estimate nitrogen, phosphorus, water table (WT) depth, and greenhouse gas (GHG: NO, CO, CH) functions for 80 riparian zones typical of the North American Midwest, Northeast (including Southern Ontario, Canada), and Mid-Atlantic. Sensitivity to weather perturbations was calculated for temperature and precipitation-dependent functions (CO, phosphate concentration, and water table), and multivariate statistical analysis on model outputs was conducted to determine trade-offs between riparian functions. Mean model estimates were 93.10 cm for WT depth, 8.45 mg N L for field edge nitrate concentration, 51.57% for nitrate removal, 0.45 mg PO L for field edge phosphate concentration, 1.5% for subsurface phosphate removal, 91.24% for total overland phosphorus removal, 0.51 mg N m day for NO flux, 5.5 g C m day for CO fluxes, and - 0.41 mg C m day and 621.51 mg C m day for CH fluxes in non-peat sites and peat sites, respectively. Sites in colder climates were most sensitive to weather perturbations for CO, sites with deep water tables estimates had the highest sensitivity for WT, and sites in warm climates and/or with deep confining layers had the lowest sensitivity for phosphate concentration. Slope, confining layer depth, and temperature were the primary characteristics influencing similarities and trade-offs between sites. This research contributes to understanding how to optimize riparian restoration and protection in watersheds based on both water (nitrogen, phosphorus) and air quality (GHG) goals.

摘要

人们越来越关注将水文地貌学和气象变量对河岸带功能的影响进行推广。在这里,我们使用 RZ-TRADEOFF 来估算 80 个典型的北美中西部、东北部(包括加拿大安大略省南部)和大西洋中部的河岸带的氮、磷、地下水位(WT)深度和温室气体(GHG:NO、CO、CH)功能。我们计算了依赖于温度和降水的功能(CO、磷酸盐浓度和地下水位)的敏感性,并且对模型输出进行了多元统计分析,以确定河岸带功能之间的权衡关系。模型估计的平均结果为:WT 深度为 93.10 cm,田间边缘硝酸盐浓度为 8.45 mg L,硝酸盐去除率为 51.57%,田间边缘磷酸盐浓度为 0.45 mg PO L,地下磷酸盐去除率为 1.5%,总地表磷去除率为 91.24%,NO 通量为 0.51 mg N m d,CO 通量为 5.5 g C m d,非泥炭地站点的 CH 通量为 -0.41 mg C m d,泥炭地站点的 CH 通量为 621.51 mg C m d。对于 CO,气候较冷的站点对天气变化最为敏感,对于 WT,地下水位估计值较高的站点最为敏感,而气候温暖和/或具有较深隔水层的站点对于磷酸盐浓度的敏感性最低。坡度、隔水层深度和温度是影响站点之间相似性和权衡关系的主要特征。这项研究有助于了解如何根据水(氮、磷)和空气质量(GHG)目标来优化流域的河岸带恢复和保护。

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