Show simple item record

dc.contributor.authorNian Hong
dc.contributor.authorTakehide Hama
dc.contributor.authorYuichi Suenaga
dc.contributor.authorXiaowu Huang
dc.contributor.authorHiroaki Ito
dc.contributor.authorYasunori Kawagoshi
dc.date.accessioned2017-12-30T12:56:09Z
dc.date.available2017-12-30T12:56:09Z
dc.date.issued2017
dc.identifier.other%28ASCE%29HE.1943-5584.0001564.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4243600
dc.description.abstractModeling of the nitrate concentration in groundwater can help ensure proper groundwater management and utilization, especially as a drinking water supply. Here, a groundwater nitrate tank model (GNTM) is proposed to simulate nitrate concentrations in groundwater. The variables used to calibrate and validate the model were daily rainfall and weekly nitrate concentration data recorded from June 2012 to February 2016 at two representative observation wells (W1 and W2) in Kumamoto, Japan. The observed nitrate concentrations range from 4.46 to 6.02  mg-N/L, and 8.60 to 24.56  mg-N/L in Wells W1 and W2, respectively. The Shuffled Complex Evolution–University of Arizona algorithm was used to determine the best-fit parameter values according to the root-mean-square error (RMSE). Calibration and validation results were evaluated by calculating the Nash-Sutcliffe efficiency coefficient (NSE) and the RMSE. The GNTM accurately reproduced nitrate concentration fluctuations: during the validation period the values of RMSE were 0.135 and 1.432 and NSE were 0.821 and 0.661 in Wells W1 and W2, respectively. These results indicate that this model provides a simple way to accurately simulate nitrate concentrations in groundwater.
dc.publisherAmerican Society of Civil Engineers
dc.titleSimplified Lumped Groundwater Model to Simulate Nitrate Concentration Dynamics
dc.typeJournal Paper
dc.journal.volume22
dc.journal.issue10
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/(ASCE)HE.1943-5584.0001564
dc.page04017043
dc.treeJournal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 010
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record