2014
DOI: 10.5194/hessd-11-1125-2014
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Spatial evapotranspiration, rainfall and land use data in water accounting – Part 2: Reliability of water accounting results for policy decisions in the Awash basin

Abstract: Abstract. Water Accounting Plus (WA+) is a framework that summarizes complex hydrological processes and water management issues in river basins. The framework is designed to use satellite based measurements of land and water as input data. A concern associated with the use of satellite measurements is their accuracy. This study focuses on the impact of the error in remote sensing measurements on water accounting and information provided to policy makers. The Awash basin in the central rift valley in Ethiopia i… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 24 publications
(31 reference statements)
0
9
0
Order By: Relevance
“…At the water basin level, the major components of these systems are the resource base, which represents water supply, crop evapotranspiration and water withdrawal, which represent water depletion, and the biomass production, which represents water productivity [16][17][18]. The most important inputs provided by remote sensing to the abovementioned components are the crop evapotranspiration and the land use maps [19]. The contribution of remote sensing and geospatial techniques will become more important in ungauged and poorly gauged basins as inputs will be provided with low cost and at reasonable accuracy [19].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…At the water basin level, the major components of these systems are the resource base, which represents water supply, crop evapotranspiration and water withdrawal, which represent water depletion, and the biomass production, which represents water productivity [16][17][18]. The most important inputs provided by remote sensing to the abovementioned components are the crop evapotranspiration and the land use maps [19]. The contribution of remote sensing and geospatial techniques will become more important in ungauged and poorly gauged basins as inputs will be provided with low cost and at reasonable accuracy [19].…”
Section: Introductionmentioning
confidence: 99%
“…The most important inputs provided by remote sensing to the abovementioned components are the crop evapotranspiration and the land use maps [19]. The contribution of remote sensing and geospatial techniques will become more important in ungauged and poorly gauged basins as inputs will be provided with low cost and at reasonable accuracy [19]. Whether water accounting systems are implemented or not, remote sensing and geospatial techniques will continue to support water managers and decision makers with information needed for improved water management.…”
Section: Introductionmentioning
confidence: 99%
“…Our aim is to understand the accuracy of seasonal and annual total values of ET and rainfall because they are of more practical value in water resource management and the errors at this time scale are different from daily and weekly time scales. The companion paper (Karimi et al, 2014) investigates impacts of the errors associated with the satellite measurement for ET, rainfall and land use on the accuracy of WA+ outputs, using a case study from the Awash basin in Ethiopia.…”
Section: Introductionmentioning
confidence: 99%
“…Groundwater occurs in a very wide spectrum of geological settings. According to Karimi et al, [11] and Ayenew [12], water in the study area is supplied as a result of jointing and fracturing especially in the deeper aquifer region. The yield of water from fractured rock is dependent upon the frequency and interconnectedness of flow pathways.…”
Section: ) Recharge Boundarymentioning
confidence: 99%