語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Natural disasters, when will they re...
~
Wijesundera, Isuri.
FindBook
Google Book
Amazon
博客來
Natural disasters, when will they reach me?
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Natural disasters, when will they reach me?/ by Isuri Wijesundera ... [et al.].
其他作者:
Wijesundera, Isuri.
出版者:
Singapore :Springer Singapore : : 2016.,
面頁冊數:
xviii, 128 p. :ill. (some col.), digital ;24 cm.
內容註:
The stochastic nature of disaster propagation -- Predicting Flood induced by cyclones -- How to forecast the spread of bushfires -- Propagation on a non-homogeneous media in the presence of bias -- Conclusion.
Contained By:
Springer eBooks
標題:
Natural disasters - Statistical methods. -
電子資源:
http://dx.doi.org/10.1007/978-981-10-1113-9
ISBN:
9789811011139
Natural disasters, when will they reach me?
Natural disasters, when will they reach me?
[electronic resource] /by Isuri Wijesundera ... [et al.]. - Singapore :Springer Singapore :2016. - xviii, 128 p. :ill. (some col.), digital ;24 cm. - Springer natural hazards,2365-0656. - Springer natural hazards..
The stochastic nature of disaster propagation -- Predicting Flood induced by cyclones -- How to forecast the spread of bushfires -- Propagation on a non-homogeneous media in the presence of bias -- Conclusion.
The expected time of impact, also known as the mean first passage time (MFPT) to reach failure, is a critical metric in the management of natural disasters. The complexity of the dynamics governing natural disasters lead to stochastic behaviour. This book shows that state transitions of many such systems translate into random walks on their respective state spaces, biased and shaped by environmental inhomogeneity. Thus the probabilistic treatment of those random walks gives valuable insights of expected behaviour. A comprehensive case study of predicting cyclone induced flood is followed by a discussion of generic methods that predict MFPT addressing directional bias. This is followed by discussing MFPT prediction methods in systems showing network inhomogeneity. All presented methods are illustrated using real datasets of natural disasters. The book ends with a short discussion of possible future research areas introducing the problem of predicting MFPT for bush-fire propagation.
ISBN: 9789811011139
Standard No.: 10.1007/978-981-10-1113-9doiSubjects--Topical Terms:
2054993
Natural disasters
--Statistical methods.
LC Class. No.: GB5014
Dewey Class. No.: 363.340727
Natural disasters, when will they reach me?
LDR
:02223nmm a2200325 a 4500
001
2038047
003
DE-He213
005
20161025152816.0
006
m d
007
cr nn 008maaau
008
161209s2016 si s 0 eng d
020
$a
9789811011139
$q
(electronic bk.)
020
$a
9789811011115
$q
(paper)
024
7
$a
10.1007/978-981-10-1113-9
$2
doi
035
$a
978-981-10-1113-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
GB5014
072
7
$a
RNR
$2
bicssc
072
7
$a
NAT023000
$2
bisacsh
082
0 4
$a
363.340727
$2
23
090
$a
GB5014
$b
.N285 2016
245
0 0
$a
Natural disasters, when will they reach me?
$h
[electronic resource] /
$c
by Isuri Wijesundera ... [et al.].
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2016.
300
$a
xviii, 128 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Springer natural hazards,
$x
2365-0656
505
0
$a
The stochastic nature of disaster propagation -- Predicting Flood induced by cyclones -- How to forecast the spread of bushfires -- Propagation on a non-homogeneous media in the presence of bias -- Conclusion.
520
$a
The expected time of impact, also known as the mean first passage time (MFPT) to reach failure, is a critical metric in the management of natural disasters. The complexity of the dynamics governing natural disasters lead to stochastic behaviour. This book shows that state transitions of many such systems translate into random walks on their respective state spaces, biased and shaped by environmental inhomogeneity. Thus the probabilistic treatment of those random walks gives valuable insights of expected behaviour. A comprehensive case study of predicting cyclone induced flood is followed by a discussion of generic methods that predict MFPT addressing directional bias. This is followed by discussing MFPT prediction methods in systems showing network inhomogeneity. All presented methods are illustrated using real datasets of natural disasters. The book ends with a short discussion of possible future research areas introducing the problem of predicting MFPT for bush-fire propagation.
650
0
$a
Natural disasters
$x
Statistical methods.
$3
2054993
650
0
$a
Natural disasters
$x
Forecasting.
$3
707431
650
1 4
$a
Earth Sciences.
$3
642591
650
2 4
$a
Natural Hazards.
$3
1005730
650
2 4
$a
Simulation and Modeling.
$3
890873
650
2 4
$a
Environmental Monitoring/Analysis.
$3
898903
650
2 4
$a
Information Systems and Communication Service.
$3
891044
650
2 4
$a
Math. Appl. in Environmental Science.
$3
891071
700
1
$a
Wijesundera, Isuri.
$3
2194951
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Springer natural hazards.
$3
2088932
856
4 0
$u
http://dx.doi.org/10.1007/978-981-10-1113-9
950
$a
Earth and Environmental Science (Springer-11646)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9280744
電子資源
11.線上閱覽_V
電子書
EB GB5014 .N285 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入