title: Statistical analysis and estimation of annual suspended sediments of major rivers in Japan.
abstract: We evaluate the spatiotemporal trends of recent suspended sediment conditions in Japanese rivers. Statistical and spatiotemporal trend analysis is conducted on the 92 major rivers in Japan based on water quality monitoring data from 1992 to 2005. The Mann-Kendall non-parametric method was used to investigate the spatial and temporal trends for the suspended sediment indicator. Results show that the mean concentration of suspended sediments in Japanese rivers has generally declined in recent years, although there are still water quality problems at some monitoring sites (Kanto, Chubu, Kinki and Kyushu regions). A positive relationship between observed yearly discharge and suspended sediment load was found. Land use maps with 100 meter spatial resolution were used to apply an empirical model and develop a regression model for estimating annual suspended sediment loads directly from land use and hydrologic data. Rivers were assigned to three groups according to statistical cluster analysis of suspended sediment (SS) concentration. The correlation between the simulation result from the empirical model and the observed data had R(2) values of 0.62 and 0.71 for groups 2 and 3, and the correlation between the simulation result from the regression model and the observed data had R(2) values of 0.48 and 0.34 for groups 2 and 3. Results show that the proposed simulation technique can be used to predict the pollutant loads to river basins in Japan. Results also suggest prioritization methods and strategies that policy-makers can use to address suspended sediment pollution in rivers and water quality management in general.
authors.affiliation: JSPS Postdoctoral Fellowship, Disaster Prevention Research Institute (DPRI), Kyoto University, Gokasho, Uji City, Kyoto 611-0011, Japan. robertlouping@flood.dpri.kyoto-u.ac.jp
authors.forename: Pingping
authors.initials: P
authors.lastname: Luo
authors.forename: Bin
authors.initials: B
authors.lastname: He
authors.forename: Pedro Luiz Borges
authors.initials: PL
authors.lastname: Chaffe
authors.forename: Daniel
authors.initials: D
authors.lastname: Nover
authors.forename: Kaoru
authors.initials: K
authors.lastname: Takara
authors.forename: M A Z
authors.initials: MA
authors.lastname: Mohd Remy Rozainy
mesh_terms: D016000:Cluster Analysis; D003198:Computer Simulation; D004784:Environmental Monitoring; D019015:Geologic Sediments / Q000032:analysis*; D062070:Hydrology; D007564:Japan; D015233:Models, Statistical; D012044:Regression Analysis; D045483:Rivers / Q000737:chemistry*; D060753:Water Quality