caa a22 4500 445814705 CHVBK 20180317145222.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10040-011-0754-x doi (NATIONALLICENCE)springer-10.1007/s10040-011-0754-x Information-based system identification for predicting the groundwater-level fluctuations of hillslopes [Elektronische Daten] [Yao-Ming Hong, Shiuan Wan] Système de prévision des fluctuations de niveau de nappe de versant collinaire basé sur l'information The analysis of pre-existing landslides and landslide-prone hillslopes requires an estimation of maximum groundwater levels. Rapid increase in groundwater levels may be a dominant factor for evaluating the occurrence of landslides. System identification—use of mathematical tools and algorithms for building dynamic models from measured data—is adopted in this study. The fluid mass-balance equation is used to model groundwater-level fluctuations, and the model is analytically solved using the finite-difference method. Entropy-based classification (EBC) is used as a data-mining technique to identify the appropriate ranges of influencing variables. The landslide area at Wushe Reservoir, Nantou County, Taiwan, is chosen as a field test site for verification. The study generated 65,535 sets of numbers for the groundwater-level variables of the governing equation, which is judged by root mean square errors. By applying cross-validation methods and EBC, limited numbers of validation samples are used to find the range of each parameter. For these ranges, a heuristic method is employed to find the best results of each parameter for the prediction model of groundwater level. The ranges for governing factors are evaluated and the resulting performance is examined. Springer-Verlag, 2011 Entropy-based classification nationallicence Groundwater-level fluctuation nationallicence Rainfall nationallicence Taiwan nationallicence Numerical modeling nationallicence Hong Yao-Ming Department of Design for Sustainable Environment, Ming Dao University, 369 Wen-Hwa Rd, 52345, Chang hua, Taiwan, Republic of China aut Wan Shiuan Department of Information Management, Ling Tung University, 1 Ling Tung Rd, 40852, Taichung, Taiwan, Republic of China aut Hydrogeology Journal Springer-Verlag 19/6(2011-09-01), 1135-1149 1431-2174 19:6<1135 2011 19 10040 https://doi.org/10.1007/s10040-011-0754-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10040-011-0754-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hong Yao-Ming Department of Design for Sustainable Environment, Ming Dao University, 369 Wen-Hwa Rd, 52345, Chang hua, Taiwan, Republic of China aut NATIONALLICENCE 700 1- Wan Shiuan Department of Information Management, Ling Tung University, 1 Ling Tung Rd, 40852, Taichung, Taiwan, Republic of China aut NATIONALLICENCE 773 0- Hydrogeology Journal Springer-Verlag 19/6(2011-09-01), 1135-1149 1431-2174 19:6<1135 2011 19 10040 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer