NDLI: Uncertainty in watershed response predictions induced by spatial variability of precipitation

Content Provider	Springer Nature Link
Author	Chang, Chia Ling Lo, Shang Lien Chen, Ming Ying
Copyright Year	2006
Abstract	Negligence to consider the spatial variability of rainfall could result in serious errors in model outputs. The objective of this study was to examine the uncertainty of both runoff and pollutant transport predictions due to the input errors of rainfall. This study used synthetic data to represent the “true” rainfall pattern, instead of interpolated precipitation. It was conducted on a synthetic case area having a total area of 20 km2 with ten subbasins. Each subbasin has one rainfall gauge with synthetic precipitation records. Six rainfall storms with varied spatial distribution were generated. The average rainfall was obtained from all of the ten gauges by the arithmetic average method. The input errors of rainfall were induced by the difference between the actual rainfall pattern and estimated average rainfall. The results show that spatial variability of rainfall can cause uncertainty in modeling outputs of hydrologic, which would be transport to pollutant export predictions, when uniformity of rainfall is assumed. Since rainfall is essential information for predicting watershed responses, it is important to consider the properties of rainfall, particularly spatial rainfall variability, in the application of hydrologic and water quality models.
Starting Page	147
Ending Page	153
Page Count	7
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	127
Issue Number	1-3
e-ISSN	15732959
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-12-14
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Precipitation Rainfall Spatial variability Uncertainty Watershed response Environmental Management Atmospheric Protection/Air Quality Control/Air Pollution Ecology Monitoring/Environmental Analysis/Environmental Ecotoxicology
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

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