Center for Bottomland Hardwoods Research, Southern Research Station, USDA Forest Service, 775 Stone Blvd., Thompson Hall, Room 309, Mississippi State, MS, 39762, USA.
Environ Monit Assess. 2021 Jun 15;193(7):422. doi: 10.1007/s10661-021-09199-4.
Phosphorus (P) is an essential nutrient for all forms of life but its over-enrichment can result in eutrophication of surface waters. For many watersheds around the world, some seasonal total P (TP) load datasets may exist but the continuous and multi-year daily TP concentrations and/or load datasets are not available due to the lacks of in situ P sensor measurement, time-consuming, and budget constraint. Traditionally, the seasonal TP loads are normally obtained with measuring daily TP concentrations for a couple of times within a season in a watershed, and then these daily TP concentrations along with their respective daily discharges are used to calculate the seasonal TP loads for the watershed. However, without the continuous and multi-year daily TP load dataset, development of total maximum daily load (TMDL) and calibration of watershed models for TP cannot be achieved. A flow-weighted method was developed (with detailed procedures) here to generate the daily TP loads based on the seasonal loads. The method was rigorously validated using the measured daily TP datasets from three different US Geological Survey gage stations. With very good statistical comparisons between the method predicted and field measured TP loads, we demonstrated that the flow-weighted method herein is a useful tool to disaggregate the seasonal TP loads into the daily TP loads when the measured daily TP data are not available while the TMDL development and model calibrations/validations are inevitable.
磷(P)是所有生命形式的必需养分,但过度富集会导致地表水富营养化。对于世界上许多流域,可能存在一些季节性总磷(TP)负荷数据集,但由于缺乏原位 P 传感器测量、耗时和预算限制,连续多年的每日 TP 浓度和/或负荷数据集不可用。传统上,通常通过在流域内一个季节内测量几次每日 TP 浓度来获得季节性 TP 负荷,然后使用这些每日 TP 浓度及其各自的每日流量来计算流域的季节性 TP 负荷。然而,如果没有连续多年的每日 TP 负荷数据集,就无法制定总最大日负荷(TMDL)和校准 TP 流域模型。本文开发了一种流量加权方法(附有详细步骤),根据季节性负荷生成每日 TP 负荷。该方法使用来自三个不同美国地质调查局测量站的实测每日 TP 数据集进行了严格验证。方法预测和现场实测 TP 负荷之间具有很好的统计学比较,表明当无法获得实测每日 TP 数据而又不可避免地需要制定 TMDL 和校准/验证模型时,本文中的流量加权方法是将季节性 TP 负荷分解为每日 TP 负荷的有用工具。