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All Journal Indonesian Journal of Biotechnology Lowland Technology International
Hiroyuki Araki
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Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Engineering Immunology & microbiology Materials Science & Nanotechnology Transportation

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Journal : Lowland Technology International

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DEVELOPMENT OF GROUND ENVIRONMENT IMPROVEMENT AND RESTORATION USING THE ROTARY CRUSHING AND DIFFUSIVE MIXING METHOD AS WELL AS ION ADSORPTION METHOD Mutsuhiro Ohno; Noriaki Nakajima; Hideo Suhara; Yuichiro Mishima; Hiroyuki Araki
Lowland Technology International Vol 16 No 2, Dec (2014)
Publisher : International Association of Lowland Technology

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Abstract

Lowlands are easily concentrated by effects of water and soil pollution. There is a demand for the development of technology that can both restore the ground environment and improve soft ground. The authors implemented testing used a rotary crushing and diffusive mixing (referred to hereafter as RCDM) method and an ion adsorption method (Nano-size inorganic Layered Double Hydroxide - NLDH - method) for the purpose of developing technology that can restore the ground environment and improve soft ground. These examples are believed to show the broad applicability of both methods.
ESTIMATING WATER QUALITY OF THE ARIAKE SEA IN JAPAN USING LANDSAT-TM DATA - Evaluation of SDD and SST- Thian Yew Gan; Koichiro Ohgushi; Hiroyuki Araki
Lowland Technology International Vol 2 No 1, June (2000)
Publisher : International Association of Lowland Technology

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Abstract

Using Lowtran 7's estimated Rayleigh scattered and aerosol scattered radiance, the radiance reflected at the sea surface (Lw(λ)) is derived from the measured radiance of Landsat-TM images taken over teh Ariake Sea. Then the Lw(λ) averaged from 4 x 4 windows of pixels contered at 33 sampling sites was regressed againts the observed Secchi disk depth (SDD) using linear regression algorithms. Result show that use of multi-date visible channels of Landsat-TM as the calibration data predicts more accurate and dependable SDD at the validation stage than use of single-date calibration data of Landsat-TM. This study confirms the feasibility of retrieving SDD (or turbidity/ suspended-sediments) from Landsat-TM data. Limited experiments in the modeling sea surface temperature (SST) show the potential of predicting SST from the thermal channel (6) og Landsate-TM data using a simple liniear regression.
Co-Authors Donny Widianto Hideo Suhara Kenji Irie Koichiro Ohgushi Mutsuhiro Ohno Noriaki Nakajima Thian Yew Gan Yasuji Oshima Yuichiro Mishima Yukio Mukai