2001
DOI: 10.13031/2013.6448
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Evaluation of Annagnps on Mississippi Delta Msea Watersheds

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Cited by 88 publications
(100 citation statements)
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“…The coefficient of determination and the Nash-Sutcliff efficiency factor achieved after the runoff calibration were good (Table 6). Similar results were found at the event scale by other authors like Yuan et al (2001), Shrestha et al (2006) and Shamshad et al (2008).…”
Section: Calibration and Validationsupporting
confidence: 91%
See 1 more Smart Citation
“…The coefficient of determination and the Nash-Sutcliff efficiency factor achieved after the runoff calibration were good (Table 6). Similar results were found at the event scale by other authors like Yuan et al (2001), Shrestha et al (2006) and Shamshad et al (2008).…”
Section: Calibration and Validationsupporting
confidence: 91%
“…The calibration/validation process of runoff was carried out by modifying the initial values of CN, which represent a key factor in obtaining accurate prediction of runoff and sediment yield (Yuan et al, 2001;Shrestha et al, 2006) and the most important input parameter to which the runoff is sensitive (Yuan et al, 2001;Baginska et al, 2003).…”
Section: Model Calibration and Validationmentioning
confidence: 99%
“…AnnAGNPS model has been developed through a partnership between the United States Department of Agriculture (USDA), Agricultural Research Service (ARS) and USDA Natural Resources Conservation Service (NRCS) Theurer, 2005; United States Departement of Agriculture-Agricultural Research Service- Usda-Ars, 2006;Rebich, 2001). AnnAGNPS is a distributed-parameter, continuoussimulation, watershed-scale model and is an expansion of the AGNPS (Young et al, 1989) model, which was originated from the development of the ANSWERS Model (Beasley;Huggins;Monke, 1982;Griffin et al, 1988).…”
Section: Annualized Agricultural Non-point Source (Annagnps)mentioning
confidence: 99%
“…The AnnAGNPS model Yuan, 2003) has been evaluated for hydrology simulations and water quality prediction worldwide under different land uses and climate conditions (Baginska;Milne-Home;Cornish, 2003;Chahor et al, 2014;Li et al, 2015;Li, 2012;Hua et al, 2012;Licciardello et al, 2007;Parajuli et al, 2009;Polyakov et al, 2007;Shamshad et al, 2008;Shrestha et al, 2006;Taguas et al, 2012;Yuan et al, 2011;Rebich, 2001). Li et al (2015) In tropical conditions, Shamshad et al (2008) applied the AnnAGNPS model for soil loss estimation and nutrient loading for watersheds in Malaysia.…”
Section: Annualized Agricultural Non-point Source (Annagnps)mentioning
confidence: 99%
“…AnnAGNPS was calibrated, validated and applied for runoff and sediment yield in different geographic locations, conditions and management practices [5][6][7][8]. The impact of the variation of the most meaningful parameters [R, K, C and P factors of the universal soil loss equation (USLE), curve number (CN) and Manning's roughness coeffi cient (MN)] on the model response was evaluated in several works [9,10]. In semi-arid environments the model has been tested at different spatial and time scales [11].…”
Section: Introductionmentioning
confidence: 99%