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利用高频浓度-流量关系描述农村河流的磷和硝酸盐输入。

Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships.

机构信息

Centre for Ecology and Hydrology, Wallingford, Oxon. OX10 8BB, UK.

Centre for Ecology and Hydrology, Wallingford, Oxon. OX10 8BB, UK.

出版信息

Sci Total Environ. 2015 Apr 1;511:608-20. doi: 10.1016/j.scitotenv.2014.12.086. Epub 2015 Jan 14.

Abstract

The total reactive phosphorus (TRP) and nitrate concentrations of the River Enborne, southern England, were monitored at hourly interval between January 2010 and December 2011. The relationships between these high-frequency nutrient concentration signals and flow were used to infer changes in nutrient source and dynamics through the annual cycle and each individual storm event, by studying hysteresis patterns. TRP concentrations exhibited strong dilution patterns with increasing flow, and predominantly clockwise hysteresis through storm events. Despite the Enborne catchment being relatively rural for southern England, TRP inputs were dominated by constant, non-rain-related inputs from sewage treatment works (STW) for the majority of the year, producing the highest phosphorus concentrations through the spring-summer growing season. At higher river flows, the majority of the TRP load was derived from within-channel remobilisation of phosphorus from the bed sediment, much of which was also derived from STW inputs. Therefore, future phosphorus mitigation measures should focus on STW improvements. Agricultural diffuse TRP inputs were only evident during storms in the May of each year, probably relating to manure application to land. The nitrate concentration-flow relationship produced a series of dilution curves, indicating major inputs from groundwater and to a lesser extent STW. Significant diffuse agricultural inputs with anticlockwise hysteresis trajectories were observed during the first major storms of the winter period. The simultaneous investigation of high-frequency time series data, concentration-flow relationships and hysteresis behaviour through multiple storms for both phosphorus and nitrate offers a simple and innovative approach for providing new insights into nutrient sources and dynamics.

摘要

2010 年 1 月至 2011 年 12 月期间,每小时监测一次英国南部恩博恩河的总活性磷 (TRP) 和硝酸盐浓度。通过研究滞后模式,利用这些高频养分浓度信号与流量之间的关系,推断出整个年周期和每个单独的风暴事件中养分来源和动态的变化。TRP 浓度随着流量的增加呈现出强烈的稀释模式,并且在风暴事件中主要呈现顺时针滞后。尽管恩博恩流域相对于英国南部来说相对较为农村化,但 TRP 的输入主要是来自污水处理厂 (STW) 的恒定的、与降雨无关的输入,在春夏季生长季节产生了最高的磷浓度。在较高的河流流量下,TRP 负荷的大部分来自河道内底泥中磷的再移动,其中大部分也来自 STW 的输入。因此,未来的磷减排措施应重点关注 STW 的改进。农业分散 TRP 输入仅在每年 5 月的风暴期间明显,可能与粪便施用于土地有关。硝酸盐浓度-流量关系产生了一系列稀释曲线,表明主要来自地下水,其次是 STW。在冬季第一个主要风暴期间,观察到具有逆时针滞后轨迹的显著的分散农业输入。对磷和硝酸盐的多个风暴的高频时间序列数据、浓度-流量关系和滞后行为的同时调查,为深入了解养分来源和动态提供了一种简单而创新的方法。

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