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Downscaling global weather prediction model outputs to individual locations or local scales is a common practice for operational weather forecast in order to correct the model outputs at subgrid scales. This paper presents an empirical-statistical downscaling method for precipitation prediction which uses a feed-forward multilayer perceptron MLP neural(More)
In this study, a new method for the estimation of aeolian sand transport rate was developed; the method employs a ceramic sand flux sensor (UD-101). UD-101 detects wind-blown sand impacting on its surface. The method was devised by considering the results of wind tunnel experiments that were performed using a vertical sediment trap and the UD-101. Field(More)
High Arsenic (As) in natural groundwater in most of the shallow sandy aquifers of the South-Western part of Bangladesh has recently been focused as a serious environmental concern. This paper is aiming to illustrate the statistical evaluation of the Arsenic polluted groundwater to identify the correlation of that As with other participating groundwater(More)
This paper presents the combination of different precipitation data sets and the distributed hydrological model, in order to examine the flood runoff reproductivity of scattered observation catchments. The precipitation data sets were obtained from observation using rain-gages, satellite based estimate (TRMM), and numerical weather prediction model (NWP),(More)
1Member of JSCE, M. Eng., Ocean Engineering Study Program, Faculty of Engineering, Hasanuddin University (Jl. P. Kemerdekaan km. 10, Makassar 90245, Indonesia) 2Member of JSCE, M. Eng., Graduate School of Engineering, Tohoku University (6-6-11-1110 Aoba Aramaki Aoba-ku, Sendai 980-8579, Japan) 3Fellow of JSCE, Professor, Graduate School of Engineering,(More)
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