Author: Trevor C. Hughes
Publisher:
ISBN:
Category : Climatic changes
Languages : en
Pages : 58

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Book Description

Author: United States. Bureau of Reclamation
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description

Author: Binota Thokchom
Publisher: Elsevier
ISBN: 0128203943
Category : Technology & Engineering
Languages : en
Pages : 472

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Book Description
Water Conservation in the Era of Global Climate Change reviews key issues surrounding climate change and water resources. The book brings together experts from a variety of fields and perspectives, providing a comprehensive view on how climate change impacts water resources, how water pollution impacts climate change, and how to assess potential hazards and success stories on managing and addressing current issues in the field. Topics also include assessing policy impacts, innovative water reuse strategies, and information on impacts on fisheries and agriculture including food scarcity. This book is an excellent tool for researchers and professionals in Climate Change, Climate Services and Water Resources, and those trying to combat the impacts and issues related to Global and Planetary Change. - Covers a wide range of theoretical and practical issues related to how climate change impacts water resources and adaptation, with extended influence on agriculture, food and water security, policymaking, etc. - Reviews mathematical tools and simulations models on predicting potential hazards from climate change in such a way they can be useful to readers from a variety of levels of mathematical expertise - Examines the potential impacts on agriculture and drinking water quality - Includes case studies of successful management of water and pollutants that contribute to climate change

Author: I. A. Shiklomanov
Publisher: Cambridge University Press
ISBN: 9780521617222
Category : Nature
Languages : en
Pages : 456

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Book Description
Modern assessment of the state of the world's water resources for researchers and policy-makers.

Author: Cameron Davidson-Pilon
Publisher: Addison-Wesley Professional
ISBN: 0133902927
Category : Computers
Languages : en
Pages : 551

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Book Description
Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

Author: Levi D. Brekke
Publisher: DIANE Publishing
ISBN: 1437920497
Category : Science
Languages : en
Pages : 76

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Book Description
Many challenges, including climate change, face the Nation¿s water managers. The Intergovernmental Panel on Climate Change (IPCC) has provided estimates of how climate may change, but more understanding of the processes driving the changes, the sequences of the changes, and the manifestation of these global changes at different scales could be beneficial. Since the changes will likely affect fundamental drivers of the hydrological cycle, climate change may have a large impact on water resources and water resources managers. The purpose of this interagency report is to explore strategies to improve water management by tracking, anticipating, and responding to climate change. Charts and tables.

Author: Alper Baba
Publisher: Springer Science & Business Media
ISBN: 940071145X
Category : Science
Languages : en
Pages : 303

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Book Description
National and global security can be assessed in many ways but one underlying factor for all humanity is access to reliable sources of water for drinking, sanitation, food production and manufacturing industry. In many parts of the world, population growth and an escalating demand for water already threaten the sustainable management of available water supplies. Global warming, climate change and rising sea level are expected to intensify the resource sustainability issue in many water-stressed regions of the world by reducing the annual supply of renewable fresh water and promoting the intrusion of saline water into aquifers along sea coasts, where 50% of the global population reside. Pro-active resource management decisions are required, but such efforts would be futile unless reliable predictions can be made about the impact of the changing global conditions on the water cycle and the quality and availability of critical water reserves. Addressing this wide spectrum of issues, a team of expert authors discusses here the impacts of climate change on the global water resources, the long-term resource management goals at global and local scales, the data requirements and the scientific and technical advances necessary to mitigate the associated impacts.

Author: Niousha Rasifaghihi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Smart cities need a sustainable plan and management of urban water consumption (UWC). A reliable long-term forecast of UWC is one of the key tasks to ensure water security and to achieve a balance between future water demand and supply. Long-term forecasts of UWC inevitably contain uncertainties. The uncertainties can associate with: 1) historical data of UWC; 2) existing observations of hydrological/climate variables as potential drivers of UWC; 3) the dependence of UWC on the potential drivers; and 4) projections of future climate change. The purpose of this research is to improve our understanding of the climate-change impact on UWC and of feasible ways to handle the foregoing uncertainties. Specifically, this research seeks answers to two key questions: 1) What quantity of water will be needed in the long-term? 2) To what extent will long-term UWC be affected by climate change? This research took the probabilistic approach to the problem of UWC forecast and made an application to the City of Brossard in the Greater Montreal metropolitan area. The methodologies involve Bayesian statistics as well as cluster analyses, which are a frequently used technique in machine learning. The analyses were performed on multiple year records of daily water consumption (DWC) in the city as well as field measurements of climate variables from the Montreal area. The analyses produced results of decomposed base water consumption (BWC) and seasonal water consumption (SWC). The DWC time-series was shown to have a transition from BWC to SWC at a threshold air temperature. The BWC was independent of climate change but subject to weekend effects, being higher on a weekend than weekdays. The SWC was a function of daily minimum air temperature, daily maximum air-temperature, and daily total precipitation. The SWC forecasts allowed for inherent uncertainties in climate variables. Markov Chain Monte Carlo was used as a sampling method in approximating the posterior distribution of regression parameters. The results from Bayesian linear regression gave a probability distribution of DWC. To quantify the impact of climate change on UWC, future projections of air temperature and precipitation were obtained from 21 General Circulation Models and downscaled for the city. The downscaled daily air temperature and precipitation corresponded to two scenarios of levels of greenhouse gas concentrations. Using quantile mapping methods, bias corrections were made to the downscaled daily minimum temperature, daily maximum temperature and daily total precipitation. These data gave input to the Bayesian linear regression model and produced SWC forecasts for the next three decades. The SWC was shown to display a positive trend over time in response to changing climate. The methodologies discussed in this thesis can be applied to other cities, producing results useful for upgrade and/or construction planning of water supply infrastructures.

Author: Levi D. Brekke
Publisher: DIANE Publishing
ISBN: 1437945015
Category : Science
Languages : en
Pages : 160

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Book Description
Describes the water management community¿s needs for climate change info. and tools to support long-term planning. Technical specialists and program managers have worked with their planners, water operators, and environmental compliance managers to identify the information and tools most relevant to their programs. They also have engaged and consulted with other Federal, State, and local agencies and stakeholder groups that have a role in water and water-related resource management to identify complementary priorities and individual perspectives. This report will help focus research and technology efforts to address info. and tools gaps relevant to the water management user community. Charts and tables. This is a print on demand report.

Author: Cynthia Rosenzweig
Publisher: Cambridge University Press
ISBN: 1139497405
Category : Science
Languages : en
Pages : 311

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Book Description
Urban areas are home to over half the world's people and are at the forefront of the climate change issue. The need for a global research effort to establish the current understanding of climate change adaptation and mitigation at the city level is urgent. To meet this goal a coalition of international researchers - the Urban Climate Change Research Network (UCCRN) - was formed at the time of the C40 Large Cities Climate Summit in New York in 2007. This book is the First UCCRN Assessment Report on Climate Change and Cities. The authors are all international experts from a diverse range of cities with varying socio-economic conditions, from both the developing and developed world. It is invaluable for mayors, city officials and policymakers; urban sustainability officers and urban planners; and researchers, professors and advanced students.