Statistical Approaches for Landslide Susceptibility Assessment and Prediction

This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mandal, Sujit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mondal, Subrata (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04741nam a2200553 4500
001 978-3-319-93897-4
003 DE-He213
005 20191027022940.0
007 cr nn 008mamaa
008 180903s2019 gw | s |||| 0|eng d
020 |a 9783319938974  |9 978-3-319-93897-4 
024 7 |a 10.1007/978-3-319-93897-4  |2 doi 
040 |d GrThAP 
050 4 |a GB5000-5030 
072 7 |a RNR  |2 bicssc 
072 7 |a NAT023000  |2 bisacsh 
072 7 |a RNR  |2 thema 
082 0 4 |a 551  |2 23 
100 1 |a Mandal, Sujit.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Statistical Approaches for Landslide Susceptibility Assessment and Prediction  |h [electronic resource] /  |c by Sujit Mandal, Subrata Mondal. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XIII, 193 p. 66 illus., 61 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Concept on Landslides and Landslide Susceptibility -- Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability -- Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction -- Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach -- Artificial Neural Network (ANN) Model and Landslide Susceptibility -- Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies -- Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic -- Comparison between Statistical Models: A Review and Evaluation -- Index. 
520 |a This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (CFM), analytical hierarchy process (AHP), artificial neural network model (ANN), and fuzzy logic have been adopted to identify landslide susceptibility. In addition, a comparison between various statistical models were made using success rate cure (SRC) and it was found that artificial neural network model (ANN), certainty factor model (CFM) and frequency ratio based fuzzy logic approach are the most reliable statistical techniques in the assessment and prediction of landslide susceptibility in the Darjeeling Himalayas. The study identified very high, high, moderate, low and very low landslide susceptibility locations to take site-specific management options as well as to ensure developmental activities in theDarjeeling Himalayas. Particular attention is given to the assessment of various geomorphic, geotectonic and geohydrologic attributes that help to understand the role of different factors and corresponding classes in landslides, to apply different models, and to monitor and predict landslides. The use of various statistical and physical models to estimate landslide susceptibility is also discussed. The causes, mechanisms and types of landslides and their destructive character are elaborated in the book. Researchers interested in applying statistical tools for hazard zonation purposes will find the book appealing. 
650 0 |a Natural disasters. 
650 0 |a Statistics . 
650 0 |a Physical geography. 
650 0 |a Hydrogeology. 
650 0 |a Geoecology. 
650 0 |a Environmental geology. 
650 1 4 |a Natural Hazards.  |0 http://scigraph.springernature.com/things/product-market-codes/G32000 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.  |0 http://scigraph.springernature.com/things/product-market-codes/S17020 
650 2 4 |a Physical Geography.  |0 http://scigraph.springernature.com/things/product-market-codes/J16000 
650 2 4 |a Hydrogeology.  |0 http://scigraph.springernature.com/things/product-market-codes/G19005 
650 2 4 |a Geoecology/Natural Processes.  |0 http://scigraph.springernature.com/things/product-market-codes/U21006 
700 1 |a Mondal, Subrata.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319938967 
776 0 8 |i Printed edition:  |z 9783319938981 
776 0 8 |i Printed edition:  |z 9783030067397 
856 4 0 |u https://doi.org/10.1007/978-3-319-93897-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-EES 
950 |a Earth and Environmental Science (Springer-11646)