Urban heat island modeling for tropical climates:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States
Elsevier
2021
|
| Schlagworte: | |
| Online-Zugang: | TUM01 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
| ISBN: | 9780128225585 |
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| 245 | 1 | 0 | |a Urban heat island modeling for tropical climates |c Ansar Khan, Soumendu Chatterjee, Yupeng Wang |
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| 505 | 8 | |a Front Cover -- Urban Heat Island Modeling for Tropical Climates -- Urban Heat Island Modeling for Tropical Climates -- Copyright -- Dedication -- Contents -- Foreword -- Acknowledgments -- Summary -- Abbreviations and Acronyms -- Mathematical Notations -- 1 - Context and background of urban heat island -- 1.1 Introduction -- 1.2 Describing the review of literature -- 1.2.1 Geography of urban heat island studies -- 1.2.2 Evaluating the primary literatures -- 1.2.2.1 Thermal remote sensing and urban heat island research -- 1.2.2.2 Urban heat island factors and drivers -- 1.2.2.3 City-scale urban heat island research -- 1.3 Indian scenario -- 1.4 Case study: tropical Kolkata -- 1.5 Conceptual framework of urban heat island -- 1.6 Purpose of this book -- 1.7 Research premises -- 1.8 Book design and methodological overview -- 1.9 Limitations -- 1.10 Organization of the book -- 1.11 Conclusions -- References -- 2 - Characterizing thermal fields and evaluating UHI effects -- 2.1 Introduction -- 2.2 Approaches to LST modeling -- 2.3 Database and image preprocessing -- 2.3.1 Landsat 5 thematic mapper -- 2.3.2 Landsat 8 thermal infrared sensor -- 2.4 Retrieval of land surface temperature -- 2.4.1 Monowindow and improved monowindow algorithms -- 2.4.2 Determination of brightness temperature -- 2.4.3 Estimation of atmospheric transmittance (τi) -- 2.4.4 Estimation of land surface emissivity (εi) -- 2.4.5 Effective mean atmospheric temperature (Ta) -- 2.5 Spatial pattern of thermal fields over time -- 2.5.1 Spatial concentration of thermal fields -- 2.5.2 Spatial structure of thermal landscape -- 2.6 Dynamics of thermal fields and urban heat island evolution -- 2.6.1 Temperature zone transfer matrix -- 2.6.2 Seasonal characteristics of thermal field -- 2.6.3 Evolution of thermal landscape -- 2.7 Conclusions -- References | |
| 505 | 8 | |a 3 - UHI drivers and mapping the urban thermal environment -- 3.1 Introduction -- 3.2 Urban heat island drivers and preparation of spatial database -- 3.2.1 Socioeconomic drivers -- 3.2.1.1 Population distribution -- 3.2.1.2 Land use and land cover -- 3.2.2 Structural drivers -- 3.2.2.1 Building materials -- 3.2.2.2 Building height -- 3.2.2.3 Building age -- 3.2.2.4 Building association -- 3.2.3 Radiative drivers -- 3.2.3.1 Building roof -- 3.2.3.2 Building roof reflectance -- 3.2.3.3 Road pavements -- 3.2.4 Accuracy assessment -- 3.3 Factor-based urban heat island modeling -- 3.3.1 Preparation of urban heat island inventory map and training and validation data set -- 3.3.2 Analytical hierarchy process model and urban heat island zonation -- 3.3.3 Kernel logistic regression model and urban heat island zonation -- 3.3.4 Support vector machine model and urban heat island zonation -- 3.3.5 Spatial multicriteria evaluation model and urban heat island zonation -- 3.4 Model evaluation, assessment, and performance -- 3.4.1 Comparison of city-scale urban heat island models -- 3.4.2 Applicability assessment by priority voting of contributing factors -- 3.5 Appraisal of the final urban heat island map -- 3.6 Contribution of built-up areas to urban heat island effects -- 3.6.1 Logit model -- 3.7 Conclusions -- References -- 4 - Scaling UHI and microclimate environment -- 4.1 Introduction -- 4.2 Urban heat island and microclimate environment -- 4.2.1 Database and image preprocessing -- 4.2.1.1 Landsat 7 thematic mapper -- 4.2.1.2 Landsat 8 operational land imager/thermal infrared sensor -- 4.3 Beta distribution and threshold selection for fuzzy logic application -- 4.4 Fractal net evolution approach for scaling urban heat island -- 4.5 Scaling of urban heat island and microclimate -- 4.5.1 Approaches to city-scale urban heat island scaling | |
| 505 | 8 | |a 4.5.2 Energetic balance differentials -- 4.6 Mean center and standard deviational ellipse of urban heat island -- 4.7 Building of local climate zone for urban heat island validation -- 4.8 Thermal heterogeneity of local climate zone classes -- 4.9 Conclusions -- References -- 5 - WRF/UCM simulation for city-scale UHI modeling -- 5.1 Introduction -- 5.2 Weather research and forecasting/urban canopy model simulations for urban heat island modeling -- 5.2.1 Urban Kolkata -- 5.2.2 Synoptic background -- 5.2.3 Overview of weather research and forecasting/urban canopy modeling system -- 5.2.4 Model configuration -- 5.2.5 Updating land use and land cover for weather research and forecasting model system -- 5.2.6 Anthropogenic heat release -- 5.2.7 Urban case and climate boundary conditions -- 5.2.8 Observational data -- 5.3 City scale urban heat island simulation -- 5.3.1 Model evaluation and validation -- 5.3.1.1 Surface wind -- 5.3.1.2 Surface pressure -- 5.3.1.3 Canopy layer temperature -- 5.3.2 Urban surface and anthropogenic heat release -- 5.3.3 Impact of urbanization on temperature -- 5.3.4 Surface energy balance and urban heat island effect -- 5.3.5 Magnitude and intensity of urban heat island -- 5.4 Conclusions -- References -- 6 - Simulating microscale thermal interactions using ENVI-met climate model -- 6.1 Introduction -- 6.2 Surface atmosphere thermal interactions -- 6.2.1 Urban surface material -- 6.2.2 Urban green surface -- 6.2.3 Urban canopy -- 6.3 Microthermal simulation -- 6.3.1 Model overview and configuration -- 6.3.2 Simulation domain -- 6.3.3 Database -- 6.3.3.1 Weather data -- 6.3.3.2 Vegetation data -- 6.3.3.3 Soil data -- 6.3.3.4 Building data -- 6.4 Simulation setup -- 6.4.1 Urban environment simulation -- 6.5 Model evaluation and validation -- 6.5.1 Measuring atmospheric parameters | |
| 505 | 8 | |a 6.5.2 Measuring thermal, biometeorological, and structural parameters -- 6.5.2.1 Base model -- 6.5.2.2 Cool pavement -- 6.5.2.3 Cool roof -- 6.5.2.4 Green model -- 6.5.2.5 Cool city model -- 6.6 Conclusions -- References -- 7 - Future research for tropical UHI -- 7.1 Introductions -- 7.2 Tropical perspectives of urban heat island modeling and mitigation -- 7.3 Needs for tropical urban heat island research -- 7.3.1 Anticipated significance -- 7.3.2 High-quality personnel -- 7.4 Future tasks for tropical urban heat island investigations -- 7.4.1 Instrumentation -- 7.4.2 Numerical simulation and experiment -- 7.4.3 Developing strategy and technology -- 7.4.4 Implementation -- 7.4.5 Awareness program -- 7.4.6 Future goals of tropical heat island studies -- 7.5 Conclusions -- References -- Glossary terms -- Appendices -- 1 Urban State Variables -- 2 Urban Canopy Parameters -- 3 Urban_param.tbl -- 4 WRF Physics Calling Order -- 4.1 Solver -- 4.1.1 Set up -- 4.1.2 Physics -- 4.1.3 Dynamics -- 4.1.4 Microphysics -- 4.2 Modified Routines for Noah/Urban LSM -- 4.2.1 Physics Routines -- 4.2.2 Initialization Routines -- 4.2.3 Registry -- 4.2.4 Namelist -- 4.2.5 Tables -- 4.2.6 Makefile -- Author index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z -- Back Cover | |
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Datensatz im Suchindex
| _version_ | 1804182734825848832 |
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| any_adam_object_boolean | |
| author | Khan, Ansar Chatterjee, Soumendu Wang, Yupeng |
| author_GND | (DE-588)1235557154 (DE-588)1211518116 (DE-588)1235557987 |
| author_facet | Khan, Ansar Chatterjee, Soumendu Wang, Yupeng |
| author_role | aut aut aut |
| author_sort | Khan, Ansar |
| author_variant | a k ak s c sc y w yw |
| building | Verbundindex |
| bvnumber | BV047442277 |
| classification_rvk | RB 10456 |
| classification_tum | RPL 630 GEO 773 |
| collection | ZDB-30-PQE |
| contents | Front Cover -- Urban Heat Island Modeling for Tropical Climates -- Urban Heat Island Modeling for Tropical Climates -- Copyright -- Dedication -- Contents -- Foreword -- Acknowledgments -- Summary -- Abbreviations and Acronyms -- Mathematical Notations -- 1 - Context and background of urban heat island -- 1.1 Introduction -- 1.2 Describing the review of literature -- 1.2.1 Geography of urban heat island studies -- 1.2.2 Evaluating the primary literatures -- 1.2.2.1 Thermal remote sensing and urban heat island research -- 1.2.2.2 Urban heat island factors and drivers -- 1.2.2.3 City-scale urban heat island research -- 1.3 Indian scenario -- 1.4 Case study: tropical Kolkata -- 1.5 Conceptual framework of urban heat island -- 1.6 Purpose of this book -- 1.7 Research premises -- 1.8 Book design and methodological overview -- 1.9 Limitations -- 1.10 Organization of the book -- 1.11 Conclusions -- References -- 2 - Characterizing thermal fields and evaluating UHI effects -- 2.1 Introduction -- 2.2 Approaches to LST modeling -- 2.3 Database and image preprocessing -- 2.3.1 Landsat 5 thematic mapper -- 2.3.2 Landsat 8 thermal infrared sensor -- 2.4 Retrieval of land surface temperature -- 2.4.1 Monowindow and improved monowindow algorithms -- 2.4.2 Determination of brightness temperature -- 2.4.3 Estimation of atmospheric transmittance (τi) -- 2.4.4 Estimation of land surface emissivity (εi) -- 2.4.5 Effective mean atmospheric temperature (Ta) -- 2.5 Spatial pattern of thermal fields over time -- 2.5.1 Spatial concentration of thermal fields -- 2.5.2 Spatial structure of thermal landscape -- 2.6 Dynamics of thermal fields and urban heat island evolution -- 2.6.1 Temperature zone transfer matrix -- 2.6.2 Seasonal characteristics of thermal field -- 2.6.3 Evolution of thermal landscape -- 2.7 Conclusions -- References 3 - UHI drivers and mapping the urban thermal environment -- 3.1 Introduction -- 3.2 Urban heat island drivers and preparation of spatial database -- 3.2.1 Socioeconomic drivers -- 3.2.1.1 Population distribution -- 3.2.1.2 Land use and land cover -- 3.2.2 Structural drivers -- 3.2.2.1 Building materials -- 3.2.2.2 Building height -- 3.2.2.3 Building age -- 3.2.2.4 Building association -- 3.2.3 Radiative drivers -- 3.2.3.1 Building roof -- 3.2.3.2 Building roof reflectance -- 3.2.3.3 Road pavements -- 3.2.4 Accuracy assessment -- 3.3 Factor-based urban heat island modeling -- 3.3.1 Preparation of urban heat island inventory map and training and validation data set -- 3.3.2 Analytical hierarchy process model and urban heat island zonation -- 3.3.3 Kernel logistic regression model and urban heat island zonation -- 3.3.4 Support vector machine model and urban heat island zonation -- 3.3.5 Spatial multicriteria evaluation model and urban heat island zonation -- 3.4 Model evaluation, assessment, and performance -- 3.4.1 Comparison of city-scale urban heat island models -- 3.4.2 Applicability assessment by priority voting of contributing factors -- 3.5 Appraisal of the final urban heat island map -- 3.6 Contribution of built-up areas to urban heat island effects -- 3.6.1 Logit model -- 3.7 Conclusions -- References -- 4 - Scaling UHI and microclimate environment -- 4.1 Introduction -- 4.2 Urban heat island and microclimate environment -- 4.2.1 Database and image preprocessing -- 4.2.1.1 Landsat 7 thematic mapper -- 4.2.1.2 Landsat 8 operational land imager/thermal infrared sensor -- 4.3 Beta distribution and threshold selection for fuzzy logic application -- 4.4 Fractal net evolution approach for scaling urban heat island -- 4.5 Scaling of urban heat island and microclimate -- 4.5.1 Approaches to city-scale urban heat island scaling 4.5.2 Energetic balance differentials -- 4.6 Mean center and standard deviational ellipse of urban heat island -- 4.7 Building of local climate zone for urban heat island validation -- 4.8 Thermal heterogeneity of local climate zone classes -- 4.9 Conclusions -- References -- 5 - WRF/UCM simulation for city-scale UHI modeling -- 5.1 Introduction -- 5.2 Weather research and forecasting/urban canopy model simulations for urban heat island modeling -- 5.2.1 Urban Kolkata -- 5.2.2 Synoptic background -- 5.2.3 Overview of weather research and forecasting/urban canopy modeling system -- 5.2.4 Model configuration -- 5.2.5 Updating land use and land cover for weather research and forecasting model system -- 5.2.6 Anthropogenic heat release -- 5.2.7 Urban case and climate boundary conditions -- 5.2.8 Observational data -- 5.3 City scale urban heat island simulation -- 5.3.1 Model evaluation and validation -- 5.3.1.1 Surface wind -- 5.3.1.2 Surface pressure -- 5.3.1.3 Canopy layer temperature -- 5.3.2 Urban surface and anthropogenic heat release -- 5.3.3 Impact of urbanization on temperature -- 5.3.4 Surface energy balance and urban heat island effect -- 5.3.5 Magnitude and intensity of urban heat island -- 5.4 Conclusions -- References -- 6 - Simulating microscale thermal interactions using ENVI-met climate model -- 6.1 Introduction -- 6.2 Surface atmosphere thermal interactions -- 6.2.1 Urban surface material -- 6.2.2 Urban green surface -- 6.2.3 Urban canopy -- 6.3 Microthermal simulation -- 6.3.1 Model overview and configuration -- 6.3.2 Simulation domain -- 6.3.3 Database -- 6.3.3.1 Weather data -- 6.3.3.2 Vegetation data -- 6.3.3.3 Soil data -- 6.3.3.4 Building data -- 6.4 Simulation setup -- 6.4.1 Urban environment simulation -- 6.5 Model evaluation and validation -- 6.5.1 Measuring atmospheric parameters 6.5.2 Measuring thermal, biometeorological, and structural parameters -- 6.5.2.1 Base model -- 6.5.2.2 Cool pavement -- 6.5.2.3 Cool roof -- 6.5.2.4 Green model -- 6.5.2.5 Cool city model -- 6.6 Conclusions -- References -- 7 - Future research for tropical UHI -- 7.1 Introductions -- 7.2 Tropical perspectives of urban heat island modeling and mitigation -- 7.3 Needs for tropical urban heat island research -- 7.3.1 Anticipated significance -- 7.3.2 High-quality personnel -- 7.4 Future tasks for tropical urban heat island investigations -- 7.4.1 Instrumentation -- 7.4.2 Numerical simulation and experiment -- 7.4.3 Developing strategy and technology -- 7.4.4 Implementation -- 7.4.5 Awareness program -- 7.4.6 Future goals of tropical heat island studies -- 7.5 Conclusions -- References -- Glossary terms -- Appendices -- 1 Urban State Variables -- 2 Urban Canopy Parameters -- 3 Urban_param.tbl -- 4 WRF Physics Calling Order -- 4.1 Solver -- 4.1.1 Set up -- 4.1.2 Physics -- 4.1.3 Dynamics -- 4.1.4 Microphysics -- 4.2 Modified Routines for Noah/Urban LSM -- 4.2.1 Physics Routines -- 4.2.2 Initialization Routines -- 4.2.3 Registry -- 4.2.4 Namelist -- 4.2.5 Tables -- 4.2.6 Makefile -- Author index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z -- Back Cover |
| ctrlnum | (ZDB-30-PQE)EBC6402020 (ZDB-30-PAD)EBC6402020 (ZDB-89-EBL)EBL6402020 (OCoLC)1223264466 (DE-599)BVBBV047442277 |
| dewey-full | 551.525091732 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 551 - Geology, hydrology, meteorology |
| dewey-raw | 551.525091732 |
| dewey-search | 551.525091732 |
| dewey-sort | 3551.525091732 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geowissenschaften Geologie / Paläontologie Physik Raumplanung Geographie |
| discipline_str_mv | Geowissenschaften Geologie / Paläontologie Physik Raumplanung Geographie |
| format | Electronic eBook |
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3.3.2 Analytical hierarchy process model and urban heat island zonation -- 3.3.3 Kernel logistic regression model and urban heat island zonation -- 3.3.4 Support vector machine model and urban heat island zonation -- 3.3.5 Spatial multicriteria evaluation model and urban heat island zonation -- 3.4 Model evaluation, assessment, and performance -- 3.4.1 Comparison of city-scale urban heat island models -- 3.4.2 Applicability assessment by priority voting of contributing factors -- 3.5 Appraisal of the final urban heat island map -- 3.6 Contribution of built-up areas to urban heat island effects -- 3.6.1 Logit model -- 3.7 Conclusions -- References -- 4 - Scaling UHI and microclimate environment -- 4.1 Introduction -- 4.2 Urban heat island and microclimate environment -- 4.2.1 Database and image preprocessing -- 4.2.1.1 Landsat 7 thematic mapper -- 4.2.1.2 Landsat 8 operational land imager/thermal infrared sensor -- 4.3 Beta distribution and threshold selection for fuzzy logic application -- 4.4 Fractal net evolution approach for scaling urban heat island -- 4.5 Scaling of urban heat island and microclimate -- 4.5.1 Approaches to city-scale urban heat island scaling</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.5.2 Energetic balance differentials -- 4.6 Mean center and standard deviational ellipse of urban heat island -- 4.7 Building of local climate zone for urban heat island validation -- 4.8 Thermal heterogeneity of local climate zone classes -- 4.9 Conclusions -- References -- 5 - WRF/UCM simulation for city-scale UHI modeling -- 5.1 Introduction -- 5.2 Weather research and forecasting/urban canopy model simulations for urban heat island modeling -- 5.2.1 Urban Kolkata -- 5.2.2 Synoptic background -- 5.2.3 Overview of weather research and forecasting/urban canopy modeling system -- 5.2.4 Model configuration -- 5.2.5 Updating land use and land cover for weather research and forecasting model system -- 5.2.6 Anthropogenic heat release -- 5.2.7 Urban case and climate boundary conditions -- 5.2.8 Observational data -- 5.3 City scale urban heat island simulation -- 5.3.1 Model evaluation and validation -- 5.3.1.1 Surface wind -- 5.3.1.2 Surface pressure -- 5.3.1.3 Canopy layer temperature -- 5.3.2 Urban surface and anthropogenic heat release -- 5.3.3 Impact of urbanization on temperature -- 5.3.4 Surface energy balance and urban heat island effect -- 5.3.5 Magnitude and intensity of urban heat island -- 5.4 Conclusions -- References -- 6 - Simulating microscale thermal interactions using ENVI-met climate model -- 6.1 Introduction -- 6.2 Surface atmosphere thermal interactions -- 6.2.1 Urban surface material -- 6.2.2 Urban green surface -- 6.2.3 Urban canopy -- 6.3 Microthermal simulation -- 6.3.1 Model overview and configuration -- 6.3.2 Simulation domain -- 6.3.3 Database -- 6.3.3.1 Weather data -- 6.3.3.2 Vegetation data -- 6.3.3.3 Soil data -- 6.3.3.4 Building data -- 6.4 Simulation setup -- 6.4.1 Urban environment simulation -- 6.5 Model evaluation and validation -- 6.5.1 Measuring atmospheric parameters</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.5.2 Measuring thermal, biometeorological, and structural parameters -- 6.5.2.1 Base model -- 6.5.2.2 Cool pavement -- 6.5.2.3 Cool roof -- 6.5.2.4 Green model -- 6.5.2.5 Cool city model -- 6.6 Conclusions -- References -- 7 - Future research for tropical UHI -- 7.1 Introductions -- 7.2 Tropical perspectives of urban heat island modeling and mitigation -- 7.3 Needs for tropical urban heat island research -- 7.3.1 Anticipated significance -- 7.3.2 High-quality personnel -- 7.4 Future tasks for tropical urban heat island investigations -- 7.4.1 Instrumentation -- 7.4.2 Numerical simulation and experiment -- 7.4.3 Developing strategy and technology -- 7.4.4 Implementation -- 7.4.5 Awareness program -- 7.4.6 Future goals of tropical heat island studies -- 7.5 Conclusions -- References -- Glossary terms -- Appendices -- 1 Urban State Variables -- 2 Urban Canopy Parameters -- 3 Urban_param.tbl -- 4 WRF Physics Calling Order -- 4.1 Solver -- 4.1.1 Set up -- 4.1.2 Physics -- 4.1.3 Dynamics -- 4.1.4 Microphysics -- 4.2 Modified Routines for Noah/Urban LSM -- 4.2.1 Physics Routines -- 4.2.2 Initialization Routines -- 4.2.3 Registry -- 4.2.4 Namelist -- 4.2.5 Tables -- 4.2.6 Makefile -- Author index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z -- Back Cover</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stadtklima</subfield><subfield code="0">(DE-588)4134931-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield 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| geographic | Tropen (DE-588)4060997-2 gnd |
| geographic_facet | Tropen |
| id | DE-604.BV047442277 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:01:24Z |
| indexdate | 2024-07-10T09:12:16Z |
| institution | BVB |
| isbn | 9780128225585 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032844429 |
| oclc_num | 1223264466 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource Illustrationen, Diagramme |
| psigel | ZDB-30-PQE ZDB-30-PQE TUM_PDA_PQE_Kauf |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| record_format | marc |
| spelling | Khan, Ansar Verfasser (DE-588)1235557154 aut Urban heat island modeling for tropical climates Ansar Khan, Soumendu Chatterjee, Yupeng Wang Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States Elsevier 2021 © 2021 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Front Cover -- Urban Heat Island Modeling for Tropical Climates -- Urban Heat Island Modeling for Tropical Climates -- Copyright -- Dedication -- Contents -- Foreword -- Acknowledgments -- Summary -- Abbreviations and Acronyms -- Mathematical Notations -- 1 - Context and background of urban heat island -- 1.1 Introduction -- 1.2 Describing the review of literature -- 1.2.1 Geography of urban heat island studies -- 1.2.2 Evaluating the primary literatures -- 1.2.2.1 Thermal remote sensing and urban heat island research -- 1.2.2.2 Urban heat island factors and drivers -- 1.2.2.3 City-scale urban heat island research -- 1.3 Indian scenario -- 1.4 Case study: tropical Kolkata -- 1.5 Conceptual framework of urban heat island -- 1.6 Purpose of this book -- 1.7 Research premises -- 1.8 Book design and methodological overview -- 1.9 Limitations -- 1.10 Organization of the book -- 1.11 Conclusions -- References -- 2 - Characterizing thermal fields and evaluating UHI effects -- 2.1 Introduction -- 2.2 Approaches to LST modeling -- 2.3 Database and image preprocessing -- 2.3.1 Landsat 5 thematic mapper -- 2.3.2 Landsat 8 thermal infrared sensor -- 2.4 Retrieval of land surface temperature -- 2.4.1 Monowindow and improved monowindow algorithms -- 2.4.2 Determination of brightness temperature -- 2.4.3 Estimation of atmospheric transmittance (τi) -- 2.4.4 Estimation of land surface emissivity (εi) -- 2.4.5 Effective mean atmospheric temperature (Ta) -- 2.5 Spatial pattern of thermal fields over time -- 2.5.1 Spatial concentration of thermal fields -- 2.5.2 Spatial structure of thermal landscape -- 2.6 Dynamics of thermal fields and urban heat island evolution -- 2.6.1 Temperature zone transfer matrix -- 2.6.2 Seasonal characteristics of thermal field -- 2.6.3 Evolution of thermal landscape -- 2.7 Conclusions -- References 3 - UHI drivers and mapping the urban thermal environment -- 3.1 Introduction -- 3.2 Urban heat island drivers and preparation of spatial database -- 3.2.1 Socioeconomic drivers -- 3.2.1.1 Population distribution -- 3.2.1.2 Land use and land cover -- 3.2.2 Structural drivers -- 3.2.2.1 Building materials -- 3.2.2.2 Building height -- 3.2.2.3 Building age -- 3.2.2.4 Building association -- 3.2.3 Radiative drivers -- 3.2.3.1 Building roof -- 3.2.3.2 Building roof reflectance -- 3.2.3.3 Road pavements -- 3.2.4 Accuracy assessment -- 3.3 Factor-based urban heat island modeling -- 3.3.1 Preparation of urban heat island inventory map and training and validation data set -- 3.3.2 Analytical hierarchy process model and urban heat island zonation -- 3.3.3 Kernel logistic regression model and urban heat island zonation -- 3.3.4 Support vector machine model and urban heat island zonation -- 3.3.5 Spatial multicriteria evaluation model and urban heat island zonation -- 3.4 Model evaluation, assessment, and performance -- 3.4.1 Comparison of city-scale urban heat island models -- 3.4.2 Applicability assessment by priority voting of contributing factors -- 3.5 Appraisal of the final urban heat island map -- 3.6 Contribution of built-up areas to urban heat island effects -- 3.6.1 Logit model -- 3.7 Conclusions -- References -- 4 - Scaling UHI and microclimate environment -- 4.1 Introduction -- 4.2 Urban heat island and microclimate environment -- 4.2.1 Database and image preprocessing -- 4.2.1.1 Landsat 7 thematic mapper -- 4.2.1.2 Landsat 8 operational land imager/thermal infrared sensor -- 4.3 Beta distribution and threshold selection for fuzzy logic application -- 4.4 Fractal net evolution approach for scaling urban heat island -- 4.5 Scaling of urban heat island and microclimate -- 4.5.1 Approaches to city-scale urban heat island scaling 4.5.2 Energetic balance differentials -- 4.6 Mean center and standard deviational ellipse of urban heat island -- 4.7 Building of local climate zone for urban heat island validation -- 4.8 Thermal heterogeneity of local climate zone classes -- 4.9 Conclusions -- References -- 5 - WRF/UCM simulation for city-scale UHI modeling -- 5.1 Introduction -- 5.2 Weather research and forecasting/urban canopy model simulations for urban heat island modeling -- 5.2.1 Urban Kolkata -- 5.2.2 Synoptic background -- 5.2.3 Overview of weather research and forecasting/urban canopy modeling system -- 5.2.4 Model configuration -- 5.2.5 Updating land use and land cover for weather research and forecasting model system -- 5.2.6 Anthropogenic heat release -- 5.2.7 Urban case and climate boundary conditions -- 5.2.8 Observational data -- 5.3 City scale urban heat island simulation -- 5.3.1 Model evaluation and validation -- 5.3.1.1 Surface wind -- 5.3.1.2 Surface pressure -- 5.3.1.3 Canopy layer temperature -- 5.3.2 Urban surface and anthropogenic heat release -- 5.3.3 Impact of urbanization on temperature -- 5.3.4 Surface energy balance and urban heat island effect -- 5.3.5 Magnitude and intensity of urban heat island -- 5.4 Conclusions -- References -- 6 - Simulating microscale thermal interactions using ENVI-met climate model -- 6.1 Introduction -- 6.2 Surface atmosphere thermal interactions -- 6.2.1 Urban surface material -- 6.2.2 Urban green surface -- 6.2.3 Urban canopy -- 6.3 Microthermal simulation -- 6.3.1 Model overview and configuration -- 6.3.2 Simulation domain -- 6.3.3 Database -- 6.3.3.1 Weather data -- 6.3.3.2 Vegetation data -- 6.3.3.3 Soil data -- 6.3.3.4 Building data -- 6.4 Simulation setup -- 6.4.1 Urban environment simulation -- 6.5 Model evaluation and validation -- 6.5.1 Measuring atmospheric parameters 6.5.2 Measuring thermal, biometeorological, and structural parameters -- 6.5.2.1 Base model -- 6.5.2.2 Cool pavement -- 6.5.2.3 Cool roof -- 6.5.2.4 Green model -- 6.5.2.5 Cool city model -- 6.6 Conclusions -- References -- 7 - Future research for tropical UHI -- 7.1 Introductions -- 7.2 Tropical perspectives of urban heat island modeling and mitigation -- 7.3 Needs for tropical urban heat island research -- 7.3.1 Anticipated significance -- 7.3.2 High-quality personnel -- 7.4 Future tasks for tropical urban heat island investigations -- 7.4.1 Instrumentation -- 7.4.2 Numerical simulation and experiment -- 7.4.3 Developing strategy and technology -- 7.4.4 Implementation -- 7.4.5 Awareness program -- 7.4.6 Future goals of tropical heat island studies -- 7.5 Conclusions -- References -- Glossary terms -- Appendices -- 1 Urban State Variables -- 2 Urban Canopy Parameters -- 3 Urban_param.tbl -- 4 WRF Physics Calling Order -- 4.1 Solver -- 4.1.1 Set up -- 4.1.2 Physics -- 4.1.3 Dynamics -- 4.1.4 Microphysics -- 4.2 Modified Routines for Noah/Urban LSM -- 4.2.1 Physics Routines -- 4.2.2 Initialization Routines -- 4.2.3 Registry -- 4.2.4 Namelist -- 4.2.5 Tables -- 4.2.6 Makefile -- Author index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z -- Back Cover Stadtklima (DE-588)4134931-3 gnd rswk-swf Wärmeinsel (DE-588)4306988-5 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Tropen (DE-588)4060997-2 gnd rswk-swf Wärmeinsel (DE-588)4306988-5 s Tropen (DE-588)4060997-2 g Soziologie (DE-588)4077624-4 s Modellierung (DE-588)4170297-9 s Stadtklima (DE-588)4134931-3 s DE-604 Chatterjee, Soumendu Verfasser (DE-588)1211518116 aut Wang, Yupeng Verfasser (DE-588)1235557987 aut Erscheint auch als Khan, Ansar Urban Heat Island Modeling for Tropical Climates San Diego : Elsevier,c2020 Druck-Ausgabe 978-0-12-819669-4 |
| spellingShingle | Khan, Ansar Chatterjee, Soumendu Wang, Yupeng Urban heat island modeling for tropical climates Front Cover -- Urban Heat Island Modeling for Tropical Climates -- Urban Heat Island Modeling for Tropical Climates -- Copyright -- Dedication -- Contents -- Foreword -- Acknowledgments -- Summary -- Abbreviations and Acronyms -- Mathematical Notations -- 1 - Context and background of urban heat island -- 1.1 Introduction -- 1.2 Describing the review of literature -- 1.2.1 Geography of urban heat island studies -- 1.2.2 Evaluating the primary literatures -- 1.2.2.1 Thermal remote sensing and urban heat island research -- 1.2.2.2 Urban heat island factors and drivers -- 1.2.2.3 City-scale urban heat island research -- 1.3 Indian scenario -- 1.4 Case study: tropical Kolkata -- 1.5 Conceptual framework of urban heat island -- 1.6 Purpose of this book -- 1.7 Research premises -- 1.8 Book design and methodological overview -- 1.9 Limitations -- 1.10 Organization of the book -- 1.11 Conclusions -- References -- 2 - Characterizing thermal fields and evaluating UHI effects -- 2.1 Introduction -- 2.2 Approaches to LST modeling -- 2.3 Database and image preprocessing -- 2.3.1 Landsat 5 thematic mapper -- 2.3.2 Landsat 8 thermal infrared sensor -- 2.4 Retrieval of land surface temperature -- 2.4.1 Monowindow and improved monowindow algorithms -- 2.4.2 Determination of brightness temperature -- 2.4.3 Estimation of atmospheric transmittance (τi) -- 2.4.4 Estimation of land surface emissivity (εi) -- 2.4.5 Effective mean atmospheric temperature (Ta) -- 2.5 Spatial pattern of thermal fields over time -- 2.5.1 Spatial concentration of thermal fields -- 2.5.2 Spatial structure of thermal landscape -- 2.6 Dynamics of thermal fields and urban heat island evolution -- 2.6.1 Temperature zone transfer matrix -- 2.6.2 Seasonal characteristics of thermal field -- 2.6.3 Evolution of thermal landscape -- 2.7 Conclusions -- References 3 - UHI drivers and mapping the urban thermal environment -- 3.1 Introduction -- 3.2 Urban heat island drivers and preparation of spatial database -- 3.2.1 Socioeconomic drivers -- 3.2.1.1 Population distribution -- 3.2.1.2 Land use and land cover -- 3.2.2 Structural drivers -- 3.2.2.1 Building materials -- 3.2.2.2 Building height -- 3.2.2.3 Building age -- 3.2.2.4 Building association -- 3.2.3 Radiative drivers -- 3.2.3.1 Building roof -- 3.2.3.2 Building roof reflectance -- 3.2.3.3 Road pavements -- 3.2.4 Accuracy assessment -- 3.3 Factor-based urban heat island modeling -- 3.3.1 Preparation of urban heat island inventory map and training and validation data set -- 3.3.2 Analytical hierarchy process model and urban heat island zonation -- 3.3.3 Kernel logistic regression model and urban heat island zonation -- 3.3.4 Support vector machine model and urban heat island zonation -- 3.3.5 Spatial multicriteria evaluation model and urban heat island zonation -- 3.4 Model evaluation, assessment, and performance -- 3.4.1 Comparison of city-scale urban heat island models -- 3.4.2 Applicability assessment by priority voting of contributing factors -- 3.5 Appraisal of the final urban heat island map -- 3.6 Contribution of built-up areas to urban heat island effects -- 3.6.1 Logit model -- 3.7 Conclusions -- References -- 4 - Scaling UHI and microclimate environment -- 4.1 Introduction -- 4.2 Urban heat island and microclimate environment -- 4.2.1 Database and image preprocessing -- 4.2.1.1 Landsat 7 thematic mapper -- 4.2.1.2 Landsat 8 operational land imager/thermal infrared sensor -- 4.3 Beta distribution and threshold selection for fuzzy logic application -- 4.4 Fractal net evolution approach for scaling urban heat island -- 4.5 Scaling of urban heat island and microclimate -- 4.5.1 Approaches to city-scale urban heat island scaling 4.5.2 Energetic balance differentials -- 4.6 Mean center and standard deviational ellipse of urban heat island -- 4.7 Building of local climate zone for urban heat island validation -- 4.8 Thermal heterogeneity of local climate zone classes -- 4.9 Conclusions -- References -- 5 - WRF/UCM simulation for city-scale UHI modeling -- 5.1 Introduction -- 5.2 Weather research and forecasting/urban canopy model simulations for urban heat island modeling -- 5.2.1 Urban Kolkata -- 5.2.2 Synoptic background -- 5.2.3 Overview of weather research and forecasting/urban canopy modeling system -- 5.2.4 Model configuration -- 5.2.5 Updating land use and land cover for weather research and forecasting model system -- 5.2.6 Anthropogenic heat release -- 5.2.7 Urban case and climate boundary conditions -- 5.2.8 Observational data -- 5.3 City scale urban heat island simulation -- 5.3.1 Model evaluation and validation -- 5.3.1.1 Surface wind -- 5.3.1.2 Surface pressure -- 5.3.1.3 Canopy layer temperature -- 5.3.2 Urban surface and anthropogenic heat release -- 5.3.3 Impact of urbanization on temperature -- 5.3.4 Surface energy balance and urban heat island effect -- 5.3.5 Magnitude and intensity of urban heat island -- 5.4 Conclusions -- References -- 6 - Simulating microscale thermal interactions using ENVI-met climate model -- 6.1 Introduction -- 6.2 Surface atmosphere thermal interactions -- 6.2.1 Urban surface material -- 6.2.2 Urban green surface -- 6.2.3 Urban canopy -- 6.3 Microthermal simulation -- 6.3.1 Model overview and configuration -- 6.3.2 Simulation domain -- 6.3.3 Database -- 6.3.3.1 Weather data -- 6.3.3.2 Vegetation data -- 6.3.3.3 Soil data -- 6.3.3.4 Building data -- 6.4 Simulation setup -- 6.4.1 Urban environment simulation -- 6.5 Model evaluation and validation -- 6.5.1 Measuring atmospheric parameters 6.5.2 Measuring thermal, biometeorological, and structural parameters -- 6.5.2.1 Base model -- 6.5.2.2 Cool pavement -- 6.5.2.3 Cool roof -- 6.5.2.4 Green model -- 6.5.2.5 Cool city model -- 6.6 Conclusions -- References -- 7 - Future research for tropical UHI -- 7.1 Introductions -- 7.2 Tropical perspectives of urban heat island modeling and mitigation -- 7.3 Needs for tropical urban heat island research -- 7.3.1 Anticipated significance -- 7.3.2 High-quality personnel -- 7.4 Future tasks for tropical urban heat island investigations -- 7.4.1 Instrumentation -- 7.4.2 Numerical simulation and experiment -- 7.4.3 Developing strategy and technology -- 7.4.4 Implementation -- 7.4.5 Awareness program -- 7.4.6 Future goals of tropical heat island studies -- 7.5 Conclusions -- References -- Glossary terms -- Appendices -- 1 Urban State Variables -- 2 Urban Canopy Parameters -- 3 Urban_param.tbl -- 4 WRF Physics Calling Order -- 4.1 Solver -- 4.1.1 Set up -- 4.1.2 Physics -- 4.1.3 Dynamics -- 4.1.4 Microphysics -- 4.2 Modified Routines for Noah/Urban LSM -- 4.2.1 Physics Routines -- 4.2.2 Initialization Routines -- 4.2.3 Registry -- 4.2.4 Namelist -- 4.2.5 Tables -- 4.2.6 Makefile -- Author index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z -- Back Cover Stadtklima (DE-588)4134931-3 gnd Wärmeinsel (DE-588)4306988-5 gnd Modellierung (DE-588)4170297-9 gnd Soziologie (DE-588)4077624-4 gnd |
| subject_GND | (DE-588)4134931-3 (DE-588)4306988-5 (DE-588)4170297-9 (DE-588)4077624-4 (DE-588)4060997-2 |
| title | Urban heat island modeling for tropical climates |
| title_auth | Urban heat island modeling for tropical climates |
| title_exact_search | Urban heat island modeling for tropical climates |
| title_exact_search_txtP | Urban heat island modeling for tropical climates |
| title_full | Urban heat island modeling for tropical climates Ansar Khan, Soumendu Chatterjee, Yupeng Wang |
| title_fullStr | Urban heat island modeling for tropical climates Ansar Khan, Soumendu Chatterjee, Yupeng Wang |
| title_full_unstemmed | Urban heat island modeling for tropical climates Ansar Khan, Soumendu Chatterjee, Yupeng Wang |
| title_short | Urban heat island modeling for tropical climates |
| title_sort | urban heat island modeling for tropical climates |
| topic | Stadtklima (DE-588)4134931-3 gnd Wärmeinsel (DE-588)4306988-5 gnd Modellierung (DE-588)4170297-9 gnd Soziologie (DE-588)4077624-4 gnd |
| topic_facet | Stadtklima Wärmeinsel Modellierung Soziologie Tropen |
| work_keys_str_mv | AT khanansar urbanheatislandmodelingfortropicalclimates AT chatterjeesoumendu urbanheatislandmodelingfortropicalclimates AT wangyupeng urbanheatislandmodelingfortropicalclimates |