Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model (Record no. 11618)
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| fixed length control field | 01991nab a2200277 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210412121133.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr aa aaaaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210412b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lu, Qi |
| 9 (RLIN) | 31464 |
| 245 ## - TITLE STATEMENT | |
| Title | Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Sage, |
| Date of publication, distribution, etc | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | Vol 46, Issue 3, 2019,(551-572 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This study aims to conduct a multi-temporal change analysis of land use and land cover in New York City via a cellular automata-based Markov chain model that uses fuzzy set theory and multi-criteria evaluation to predict the city’s future land use changes for 2030 and 2050 under potential sea level rise and long-term rainfall-runoff flooding impacts driven by climate change. To determine the future natural forcing impacts on land use in New York City, this study highlights the need for integrating spatiotemporal modeling analyses, such as a statistical downscaling model driven by climate change with remote sensing and GIS to support urban growth assessment. The research findings indicate that the mean rainfall will increase in the future and sea levels will rise near New York City; however, open space is expected to decrease by 1.51% and 2.51% and the urban area is expected to expand by about 1.36% and 2.63% in 2030 and 2050 respectively, taking into account the climate change and sea level rise. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Urban growth, |
| 9 (RLIN) | 45738 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | megacity, |
| 9 (RLIN) | 42344 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Markov chain, |
| 9 (RLIN) | 45739 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | cellular automata, |
| 9 (RLIN) | 45651 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | climate change |
| 9 (RLIN) | 45740 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Joyce, Justin |
| 9 (RLIN) | 45741 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Imen, Sanaz |
| 9 (RLIN) | 45742 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chang, Ni-Bin |
| 9 (RLIN) | 45743 |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 11590 |
| Host Itemnumber | 15512 |
| Place, publisher, and date of publication | Sage 2019. |
| Title | Environment and Planning B: Urban Analytics and City Science |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1177/2399808317720797 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles |
No items available.