Environmental Research Institute, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand.
Environ Sci Process Impacts. 2013 Jun;15(6):1137-52. doi: 10.1039/c3em00083d.
High-frequency sampling of two major stream inflows to a large eutrophic lake (Lake Rotorua, New Zealand) was conducted to measure inputs of total suspended sediment (TSS), and fractions of nitrogen and phosphorus (P). A total of 17 rain events were sampled, including three during which both streams were simultaneously monitored to quantify how concentration-discharge (Q) relationships varied between catchments during similar hydrological conditions. Dissolved inorganic nitrogen (DIN) concentrations declined slightly during events, reflecting dilution of groundwater inputs by rainfall, whereas dissolved inorganic P (PO4-P) concentrations were variable and unrelated to Q, suggesting dynamic sorptive behaviour. Event loads of total nitrogen (TN) were predominantly DIN, which is available for immediate uptake by primary producers, whereas total phosphorus (TP) loads predominantly comprised particulate P (less labile). Positive correlations between Q and concentrations of TP (and to a lesser extent TN) reflected increased particulate nutrient concentrations at high flows. Consequently, load estimates based on hourly Q during storm events and concentrations of routine monthly samples (mostly base flow) under-estimated TN and TP loads by an average of 19% and 40% respectively. Hysteresis with Q was commonly observed and inclusion of hydrological variables that reflect Q history in regression models improved predictions of TN and TP concentrations. Lorenz curves describing the proportions of cumulative load versus cumulative time quantified temporal inequality in loading. In the two study streams, 50% of estimated two-year loads of TN, TP and TSS were transported in 202-207, 76-126 and 1-8 days respectively. This study quantifies how hydrological and landscape factors can interact to influence pollutant flux at the catchment scale and highlights the importance of including storm transfers in lake loading estimates.
对流入大型富营养化湖泊(新西兰罗托鲁瓦湖)的两条主要溪流进行高频采样,以测量总悬浮泥沙(TSS)以及氮和磷(P)的各个分数的输入量。共采集了 17 场降雨事件,其中包括三次同时监测两条溪流的事件,以量化在类似水文条件下集水区之间浓度-流量(Q)关系的变化。溶解无机氮(DIN)浓度在事件期间略有下降,反映了降雨对地下水输入的稀释,而溶解无机磷(PO4-P)浓度则变化不定且与 Q 无关,表明其具有动态吸附行为。总氮(TN)的事件负荷主要是 DIN,这是可被初级生产者立即吸收的,而总磷(TP)负荷主要由颗粒磷(稳定性较差)组成。Q 与 TP(以及在较小程度上与 TN)浓度之间的正相关反映了高流量下颗粒态养分浓度的增加。因此,基于风暴事件期间的每小时 Q 和常规每月样本(主要是基流)的浓度进行的负荷估算分别低估了 TN 和 TP 负荷的平均 19%和 40%。与 Q 的滞后普遍存在,并且在回归模型中包含反映 Q 历史的水文变量可以改善 TN 和 TP 浓度的预测。描述累积负荷与累积时间之间比例的洛伦兹曲线量化了负荷的时间不平等。在两条研究溪流中,估计的两年 TN、TP 和 TSS 负荷的 50%分别在 202-207、76-126 和 1-8 天内输送。本研究量化了水文和景观因素如何相互作用以影响流域尺度的污染物通量,并强调了在湖泊负荷估算中包含风暴转移的重要性。