MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02042nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
JGU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250217020011.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221212b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789811952432 |
| Qualifying information |
hbk. |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
JGU |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sharma, Neha, |
| 9 (RLIN) |
1637752 |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Towards net-zero targets : |
| Remainder of title |
usage of data science for long-term sustainability pathways / |
| Statement of responsibility, etc |
Neha Sharma and Prithwis Kumar De. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Singapore : |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2023. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
<a href="Advances in sustainability science and technology">Advances in sustainability science and technology</a> |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation."-- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data Science |
| 9 (RLIN) |
1268085 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Carbon emissions |
| 9 (RLIN) |
1637937 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Climate change |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
De, Prithwis Kumar, |
| Relator term |
author |
| 9 (RLIN) |
1637938 |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Advances in sustainability science and technology |
