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Titlebook: Climate Change Impacts; Select Proceedings o Vijay P Singh,Shalini Yadav,Ram Narayan Yadava Conference proceedings 2018 Springer Nature Sin

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书目名称Climate Change Impacts
副标题Select Proceedings o
编辑Vijay P Singh,Shalini Yadav,Ram Narayan Yadava
视频videohttp://file.papertrans.cn/228/227407/227407.mp4
概述Covers aspects of climatic characteristics ranging from changes in temperature and sunshine hours to downscaling to global climate patterns and effects of El Niño-Southern Oscillation (ENSO) and India
丛书名称Water Science and Technology Library
图书封面Titlebook: Climate Change Impacts; Select Proceedings o Vijay P Singh,Shalini Yadav,Ram Narayan Yadava Conference proceedings 2018 Springer Nature Sin
描述This book comprises the select proceedings of the International Conference on Water, Environment, Energy and Society. The book is divided into four parts. Part I deals with some aspects of climatic characteristics ranging from changes in temperature and sunshine hours to downscaling to global climate patterns and effects of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on extreme rainfall. Part II covers rainfall analysis, including changes in regional rainfall series, analysis of non-stationarity, summer monsoon and rainfall scenarios. Impacts of climate change are treated in Part III. Change point analysis, greenhouse gas emissions, rainfall variability, water resources variability, and water resources sustainability are discussed in this part. The concluding Part IV is on low flow and drought. It deals with the Standardized Precipitation Index (SPI) concept and assessment of drought. This book is of interest to researchers and practitioners in the field of waterresources, hydrology, environmental resources, agricultural engineering, watershed management, and earth sciences, as well as those engaged in natural resources planning and management. Graduate studen
出版日期Conference proceedings 2018
关键词Climate Change Impacts; ICWEES-2016; Temperature; Sunshine Duration; Global Climate Pattern; Rainfall Var
版次1
doihttps://doi.org/10.1007/978-981-10-5714-4
isbn_softcover978-981-13-5470-0
isbn_ebook978-981-10-5714-4Series ISSN 0921-092X Series E-ISSN 1872-4663
issn_series 0921-092X
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Rethinking Children‘s Citizenshipavari basin, India. Global Climate Model (GCM), namely, GFDL-CM3 simulations, are used for downscaling purpose. Five grid points of Lower Godavari basin are considered. Reanalysis data from National Centre for Environmental Prediction (NCEP) of the study area from 1969 to 2005 is used for analysis.
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Participatory Citizenship of Childrencause of coarse resolution. The dynamic or statistical downscaling procedures are used to convert global scale output to regional scale condition. The statistical downscaling because of its less computational skills is preferably used for generation of future climate and in the present study, minimu
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Rethinking Children‘s Citizenshipel for the RCP2.6, RCP4.5, and RCP8.5 scenarios. The statistical downscaling model calibrated and validated using the observed daily data of 12 meteorological stations was used to generate the future scenario. The change in mean annual maximum temperature from the base period has indicated an increm
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Rethinking Chinese Cultural Identityacross the world. El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) are, in particular, important for Indian hydroclimatology. However, it is now established that rather than just a few well-known teleconnection patterns, a Global Climate Pattern (GCP) comprising of a global field of
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Hualish: A New Conceptual Label,r India for the years 1871–2013 were analyzed using two change-point detection (CPD) techniques namely Binary Segmentation based on Cumulative sum and Likelihood ratio approaches. The CPD methodology involves estimation of threshold values based on Monte Carlo simulation. On applying the CPD techniq
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Rethinking Chinese Cultural Identity of stationary extreme value theory (i.e. occurrence probability of extreme precipitation is not expected to change significantly over time). But, the extreme precipitation events are increasing due to global climate change and questioning the reliability of our current infrastructure design. In thi
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