TY  - JOUR
AU  - Suzuki, Leila
AU  - Adeyemi, Feng
AU  - Liu, Hiroshi
TI  - Multiple Regression Analysis for Arsenic Removal from Groundwater
JO  - Open Access Journal of Engineering Applications
PY  - 2014
VL  - 38
IS  - 2
SP  - 807
EP  - 824
AB  - The shift towards cleaner technologies has renewed attention on arsenic removal from groundwater within biomedical instrumentation. The proposed framework combined scanning electron microscopy with laboratory measurements to improve predictive accuracy. The proposed algorithm converged reliably within 4 iterations for every case that was tested. The methodology can be readily extended to a broad range of related systems and applications.
KW  - arsenic removal from groundwater
KW  - scanning electron microscopy
KW  - soil liquefaction
KW  - photocatalysis
SN  - 3105-7004
DO  - 10.55555/oajea.2014.3802.042
UR  - https://journal.bsaps.com/article/9159
ER  -