Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Pradeep V. Mandapaka"'
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Abstract The changing climate and the rapid urbanisation may alter flood severity and influence the decision‐making process for flood management. In this study, a Multi‐Criteria Decision Analysis (MCDA) framework for optimal decision‐making in
Externí odkaz:
https://doaj.org/article/897a2139b5d848c596e1039d4fb1a506
Publikováno v:
Applied Energy. 339:120953
Modern coupled power and water (CPW) systems exhibit increasing integration and interdependence, which challenges system performance to disasters and makes service restoration complex during post-disruption. Meanwhile, new technologies, such as small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334d098898a0afba268e27290e3d6bc9
https://doi.org/10.1016/j.apenergy.2023.120953
https://doi.org/10.1016/j.apenergy.2023.120953
Autor:
Pradeep V. Mandapaka, Edmond Y.M. Lo
Publikováno v:
Journal of Hydrometeorology. 21:2963-2977
We evaluated the Integrated Multi-satellite Retrievals for GPM (IMERG) V06B Early and Final Run products using data from a dense gauge network in Singapore as ground reference (GR). The evaluation is carried out at monthly, daily, and hourly scales,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a55e99b382430b9faf9d4d5c209957
https://doi.org/10.1175/jhm-d-20-0135.1
https://doi.org/10.1175/jhm-d-20-0135.1
Publikováno v:
Remote Sensing of Night-time Light ISBN: 9781003169246
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::290d67dca49d036d4c774ab0e01fa506
https://doi.org/10.4324/9781003169246-12
https://doi.org/10.4324/9781003169246-12
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
The changing climate and the rapid urbanisation may alter flood severity and influence the decision‐making process for flood management. In this study, a Multi‐Criteria Decision Analysis (MCDA) framework for optimal decision‐making in flood pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d40062e2b83be32e514c38f11e1e7dd7
https://hdl.handle.net/10356/146454
https://hdl.handle.net/10356/146454
Publikováno v:
International Journal of Remote Sensing. 38:6073-6093
This study analysed urban growth patterns for 15 Southeast Asian cities using remotely sensed night-time light data from1992 to 2012. We extracted three urban categories (countryside, peri-urban, and core-urban) for each city using objectively derive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42654611548dbff0aa0883352622fcaa
https://doi.org/10.1080/01431161.2017.1346846
https://doi.org/10.1080/01431161.2017.1346846
Publikováno v:
International Journal of Climatology. 37:1161-1179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8ceec6c4e53a5402fc42515e66be08
https://doi.org/10.1002/joc.5073
https://doi.org/10.1002/joc.5073
Publikováno v:
Journal of Hydrometeorology. 17:1579-1600
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and interannual variability of wet and dry spells. The analysis is carried out using 35 years of data from Singapore and 23 years of data from Jakarta. The fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c83eb9a29dfba453d99594101001a124
https://doi.org/10.1175/jhm-d-15-0100.1
https://doi.org/10.1175/jhm-d-15-0100.1
Autor:
Edmond Y.M. Lo, Pradeep V. Mandapaka
Extreme precipitation and associated flooding cause severe damage to society and the environment. Future climate projections suggest an intensification of precipitation extremes in many regions. However, there is an increasing need for climate change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a846382ff331ccbb52621538a1148ebd
https://hdl.handle.net/10356/137177
https://hdl.handle.net/10356/137177
Publikováno v:
International Journal of Climatology. 35:4493-4508
A novel combined statistical downscaling and disaggregation framework (CSDD) based on Long Ashton Research Station-Weather Generator (LARS-WG) and K-nearest neighbour (KNN) was proposed to examine the climate change impact on regional extreme rainfal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eef9f65fd1aa47b9689993dc6dd86a9
https://doi.org/10.1002/joc.4301
https://doi.org/10.1002/joc.4301