國立虎尾科技大學 |

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process/ by Uttam Roy, Mrinmoy Majumder.
作者:	Roy, Uttam.
其他作者:	Majumder, Mrinmoy.
出版者:	Singapore :Springer Singapore : : 2016.,
面頁冊數:	x, 89 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Watersheds. -
電子資源:	http://dx.doi.org/10.1007/978-981-287-344-6
ISBN:	9789812873446

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process
Roy, Uttam.

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process[electronic resource] /by Uttam Roy, Mrinmoy Majumder. - Singapore :Springer Singapore :2016. - x, 89 p. :ill., digital ;24 cm. - SpringerBriefs in water science and technology,2194-7244. - SpringerBriefs in water science and technology..

Introduction -- Climate Change and its Impacts -- Watershed Vulnerabilities -- Methodology -- Results and Discussions.

The increase in GHG gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide. The resultant change in climatic pattern can induce abnormalities in the hydrological cycle. As a result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index.

ISBN: 9789812873446

Standard No.: 10.1007/978-981-287-344-6doiSubjects--Topical Terms:

679964
Watersheds.

LC Class. No.: GB980

Dewey Class. No.: 333.73

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process
LDR:01918nam a2200325 a 4500 001 861479
003 DE-He213
005 20160809143520.0
006 m d
007 cr nn 008maaau
008 170720s2016 si s 0 eng d
020 $a 9789812873446 $q (electronic bk.)
020 $a 9789812873439 $q (paper)
024 7 $a 10.1007/978-981-287-344-6 $2 doi
035 $a 978-981-287-344-6
040 $a GP $c GP
041 0 $a eng
050 4 $a GB980
072 7 $a THX $2 bicssc
072 7 $a TEC031010 $2 bisacsh
082 0 4 $a 333.73 $2 23
090 $a GB980 $b .R888 2016
100 1 $a Roy, Uttam. $3 1103916
245 1 0 $a Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process $h [electronic resource] / $c by Uttam Roy, Mrinmoy Majumder.
260 $a Singapore : $c 2016. $b Springer Singapore : $b Imprint: Springer,
300 $a x, 89 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in water science and technology, $x 2194-7244
505 0 $a Introduction -- Climate Change and its Impacts -- Watershed Vulnerabilities -- Methodology -- Results and Discussions.
520 $a The increase in GHG gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide. The resultant change in climatic pattern can induce abnormalities in the hydrological cycle. As a result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index.
650 0 $a Watersheds. $3 679964
650 0 $a Watershed ecology. $3 679963
650 0 $a Climatology. $3 554822
650 1 4 $a Energy. $3 784773
650 2 4 $a Renewable and Green Energy. $3 683875
650 2 4 $a Hydrology/Water Resources. $3 1020964
650 2 4 $a Climate Change/Climate Change Impacts. $3 1023634
650 2 4 $a Energy Technology. $3 768691
650 2 4 $a Water Industry/Water Technologies. $3 1022068
700 1 $a Majumder, Mrinmoy. $3 1076479
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in water science and technology. $3 1020080
856 4 0 $u http://dx.doi.org/10.1007/978-981-287-344-6
950 $a Earth and Environmental Science (Springer-11646)