Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F16%3A00000010" target="_blank" >RIV/00025798:_____/16:00000010 - isvavai.cz</a>

Alternative codes found

RIV/86652079:_____/16:00468294

Result on the web

<a href="http://dx.doi.org/10.1016/j.cageo.2015.05.006" target="_blank" >http://dx.doi.org/10.1016/j.cageo.2015.05.006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cageo.2015.05.006" target="_blank" >10.1016/j.cageo.2015.05.006</a>

Result language

angličtina

Original language name

Hydrological model uncertainty due to spatial evapotranspiration estimation methods

Original language description

Evapotranspiration (ET) continues to be a difficult process to estimate in seasonal and long-term water balances in catchment models. Approaches to estimate ET typically use vegetation parameters (e.g., leaf area index [LAI], interception capacity) obtained from field observation, remote sensing data, national or global land cover products, and/or simulated by ecosystem models. In this study we attempt to quantify the uncertainty that spatial evapotranspiration estimation introduces into hydrological simulations when the age of the forest is not precisely known. The Penn State Integrated Hydrologic Model(PIHM) was implemented for the Lysina headwater catchment, located 50°03' N, 12°40'E in the western part of the Czech Republic. The spatial forest patterns were digitized from forest age maps made available by the Czech Forest Administration. Two ET methods were implemented in the catchment model: the Biome-BGC forest growth sub- model (1-way coupled to PIHM) and with the fixed-seasonal LAI method. From these two approaches simulation scenarios were developed. We combined the estimated spatial forest age maps and two ET estimation methods to drive PIHM. A set of spatial hydrologic regime and streamflow regime indices were calculated from the modeling results for each method. Intercomparison of the hydrological responses to the spatial vegetation patterns suggested considerable variation in soil moisture and recharge and a small uncertainty in the groundwater table elevation and streamflow. The hydrologic modeling with ET estimated by Biome-BGC generated less uncertainty due to the plant physiology-based method. The implication of this research is that overall hydrologic variability induced by uncertain management practices was reduced by implementing vegetation models in the catchment models.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DA - Hydrology and limnology

OECD FORD branch

—

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Computers & Geosciences

ISSN

0098-3004

e-ISSN

—

Volume of the periodical

90, part B

Issue of the periodical within the volume

May

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

90-101

UT code for WoS article

000374807600009

EID of the result in the Scopus database

—