2021
DOI: 10.1016/j.scitotenv.2021.146706
|View full text |Cite
|
Sign up to set email alerts
|

An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 18 publications
(8 citation statements)
references
References 98 publications
(158 reference statements)
0
8
0
Order By: Relevance
“…We studied the June–September 2020 period in detail as it is a period of increased ET and low rainfall. Under these favorable conditions, we were able to relate a) mass changes measured by gravimeters minus water discharge (Q) measured at the karst system outlet to b) ET modeled using the SimpKcET model (Ollivier et al., 2021).…”
Section: Interpretation and Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…We studied the June–September 2020 period in detail as it is a period of increased ET and low rainfall. Under these favorable conditions, we were able to relate a) mass changes measured by gravimeters minus water discharge (Q) measured at the karst system outlet to b) ET modeled using the SimpKcET model (Ollivier et al., 2021).…”
Section: Interpretation and Discussionmentioning
confidence: 99%
“…The SimpKcET model was developed by Ollivier et al. (2021) to quantify ET over large karst areas. It was coupled to the KaRaMel model, which simulates water flow within karst systems (Ollivier et al., 2020), to improve the simulation of karst aquifer processes.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…interception and evapotranspiration, mainly results from the spatial variability of soil properties. Moreover, Ollivier et al (2021) underline that this sensitivity is further related to often missing information about spatially distributed and vegetation-dependent evapotranspiration dynamics. In cases where snowmelt represents a controlling factor in the water balance of karst areas, Doummar et al (2018) showed that groundwater recharge estimations are most sensitive to temperature variations.…”
Section: Introductionmentioning
confidence: 97%