Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020590 |
Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge | |
Minaudo, Camille1; Dupas, Remi2,3; Gascuel-Odoux, Chantal2; Fovet, Ophelie2; Mellander, Per-Erik4; Jordan, Philip5; Shore, Mairead4; Moatar, Florentina1,6 | |
2017-09-01 | |
发表期刊 | WATER RESOURCES RESEARCH
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | France; Germany; Ireland; North Ireland |
英文摘要 | We tested an empirical modeling approach using relatively low-cost continuous records of turbidity and discharge as proxies to estimate phosphorus (P) concentrations at a subhourly time step for estimating loads. The method takes into account nonlinearity and hysteresis effects during storm events, and hydrological conditions variability. High-frequency records of total P and reactive P originating from four contrasting European agricultural catchments in terms of P loads were used to test the method. The models were calibrated on weekly grab sampling data combined with 10 storms surveyed subhourly per year (weekly+ survey) and then used to reconstruct P concentrations during all storm events for computing annual loads. For total P, results showed that this modeling approach allowed the estimation of annual loads with limited uncertainties (approximate to -10%+/- 15%), more reliable than estimations based on simple linear regressions using turbidity, based on interpolated weekly+ data without storm event reconstruction, or on discharge weighted calculations from weekly series or monthly series. For reactive P, load uncertainties based on the nonlinear model were similar to uncertainties based on storm event reconstruction using simple linear regression (approximate to 20%+/- 30%), and remained lower than uncertainties obtained without storm reconstruction on weekly or monthly series, but larger than uncertainties based on interpolated weekly+ data (approximate to -15%+/- 20%). These empirical models showed we could estimate reliable P exports from noncontinuous P time series when using continuous proxies, and this could potentially be very useful for completing time-series data sets in high-frequency surveys, even over extended periods. Plain Language Abstract Phosphorus (P) loads transported by rivers and streams have to be estimated reliably, but this is a difficult task because P loads can be transported during very short period of time, like during storm events, and most P surveys are executed with low sampling frequencies. Because continuous surveys of P are costly, we tested a modeling approach using commonly used low-cost continuous records of turbidity and discharge as surrogate variables. This had to take into account nonlinear relationships and the fact that the relationship between P and turbidity or discharge is different during a rising phase or a descending phase. The model we developed estimates P concentration variations during storm events and provides continuous time series of P. From the model estimations, total annual loads of P could be predicted with low uncertainty ranges when using turbidity as a surrogate variable, showing its ability at estimating phosphorus exports values closer to the reality. The soluble reactive form was however less reliably predicted by discharge records, but our method could still be improved. |
英文关键词 | phosphorus nonlinear empirical modeling high-frequency monitoring proxies hysteresis |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413484200006 |
WOS关键词 | TOTAL SUSPENDED-SOLIDS ; WATER-QUALITY ; SAMPLING FREQUENCY ; SEASONAL PATTERNS ; IN-SITU ; DYNAMICS ; CATCHMENT ; STREAM ; UNCERTAINTIES ; HYSTERESIS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21345 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Francois Rabelais Tours, GeoHydrosyst Continentaux EA 6293, Tours, France; 2.INRA, UMR1069 SAS, Agrocampus Ouest, Rennes, France; 3.UFZ Helmholtz Ctr Environm Res, Dept Aquat Ecosyst Anal & Management ASAM, Magdeburg, Germany; 4.TEAGASC, Environm Res Ctr, Agr Catchments Programme, Wexford, Co Wexford, Ireland; 5.Ulster Univ, Sch Geog & Environm Sci, Coleraine, Londonderry, North Ireland; 6.Univ Rennes 1, CNRS, OSUR, Rennes, France |
推荐引用方式 GB/T 7714 | Minaudo, Camille,Dupas, Remi,Gascuel-Odoux, Chantal,et al. Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge[J]. WATER RESOURCES RESEARCH,2017,53(9). |
APA | Minaudo, Camille.,Dupas, Remi.,Gascuel-Odoux, Chantal.,Fovet, Ophelie.,Mellander, Per-Erik.,...&Moatar, Florentina.(2017).Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge.WATER RESOURCES RESEARCH,53(9). |
MLA | Minaudo, Camille,et al."Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge".WATER RESOURCES RESEARCH 53.9(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论