2014
DOI: 10.1007/s12145-014-0176-0
|View full text |Cite
|
Sign up to set email alerts
|

Sensitivity analysis of a GIS-based model: A case study of a large semi-arid catchment

Abstract: Water resource and hydrologic modeling studies are intrinsically related to spatial processes of hydrologic cycle. Due to generally sparse data, and high rainfall variability, the accurate prediction of water availability in complex semi-arid catchment depends to a great extent on how well spatial input data describe realistically the relevant characteristics. The Geographic Information System (GIS) provides the framework within which spatially distributed data are collected and used to prepare model input fil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(8 citation statements)
references
References 37 publications
0
8
0
Order By: Relevance
“…Moriasi et al [28] suggest that NSE values greater than 0.75 are considered excellent, values greater than 0.65 are considered good, and values greater than 0.5 are considered satisfactory for hydrological model evaluation. They further conclude that R 2 values greater than 0.5 are regarded as Moriasi et al [28] suggest that NSE values greater than 0.75 are considered excellent, values greater than 0.65 are considered good, and values greater than 0.5 are considered satisfactory for hydrological model evaluation. They further conclude that R 2 values greater than 0.5 are regarded as acceptable for model simulation.…”
Section: Reservoir Inflow Simulationmentioning
confidence: 99%
“…Moriasi et al [28] suggest that NSE values greater than 0.75 are considered excellent, values greater than 0.65 are considered good, and values greater than 0.5 are considered satisfactory for hydrological model evaluation. They further conclude that R 2 values greater than 0.5 are regarded as Moriasi et al [28] suggest that NSE values greater than 0.75 are considered excellent, values greater than 0.65 are considered good, and values greater than 0.5 are considered satisfactory for hydrological model evaluation. They further conclude that R 2 values greater than 0.5 are regarded as acceptable for model simulation.…”
Section: Reservoir Inflow Simulationmentioning
confidence: 99%
“…Table 1 lists the eleven parameters used in the calibration process from the SWAT models. They were selected based on the list in SWAT calibration tool and extensive literature review (Zhang et al 2009;Mosbahi et al 2014). For this study, three SWAT models were built with three simulation periods; period 1 (LULC with weather data from 1970 -1989), period 2 (NLCD1992 with weather data from 1990 -1999), and period 3 (NLCD2001 with weather data from 2000 -2009).…”
Section: Swat Modelmentioning
confidence: 99%
“…It has been used in various situations, especially in areas known for their environmental vulnerability [14]. The model has proven efficiency in semi-arid conditions in many cases over the world (California, Mexico, Spain, Morocco, Tunisia, Iran, Italy…) [15,16,17,18,19,20].…”
Section: Introductionmentioning
confidence: 99%