Estimation of phosphorus loads with sparse data for agricultural watersheds in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F10%3A00003020" target="_blank" >RIV/00020711:_____/10:00003020 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41330/10:48010

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of phosphorus loads with sparse data for agricultural watersheds in the Czech Republic

Popis výsledku v původním jazyce

Agricultural watersheds in the Czech Republic are one of the primary sources of nonpoint source phosphorus (P) loads in receiving waters. Since such nonpoint sources are generally located in headwater catchments, streamflow and P concentration data are sparse. We show how very short daily streamflow and P concentration records can be combined with nearby longer existing daily streamflow records to result in reliable estimates of daily and annual P concentrations and loads. Maintenance of variance streamflow record extension methods (MOVE) can be employed to extend short streamflow records. Constituent load regressions are used to predict daily P constituent loads from streamflow and other time varying characteristics. Annual P loads are then estimatedfor individual watersheds. Resulting annual P load estimates ranged from 0.21 to 95.4 kg year-1 with a mean value of 11.77 kg year-1. Similarly annual P yield estimates ranged from 0.01 to 0.3 kg ha-1year-1 with an average yield of 0.07 k

Název v anglickém jazyce

Estimation of phosphorus loads with sparse data for agricultural watersheds in the Czech Republic

Popis výsledku anglicky

Agricultural watersheds in the Czech Republic are one of the primary sources of nonpoint source phosphorus (P) loads in receiving waters. Since such nonpoint sources are generally located in headwater catchments, streamflow and P concentration data are sparse. We show how very short daily streamflow and P concentration records can be combined with nearby longer existing daily streamflow records to result in reliable estimates of daily and annual P concentrations and loads. Maintenance of variance streamflow record extension methods (MOVE) can be employed to extend short streamflow records. Constituent load regressions are used to predict daily P constituent loads from streamflow and other time varying characteristics. Annual P loads are then estimatedfor individual watersheds. Resulting annual P load estimates ranged from 0.21 to 95.4 kg year-1 with a mean value of 11.77 kg year-1. Similarly annual P yield estimates ranged from 0.01 to 0.3 kg ha-1year-1 with an average yield of 0.07 k

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Hydrological Sciences Journal

ISSN

0262-6667

e-ISSN

—

Svazek periodika

55

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—