Kooperativer Bibliotheksverbund

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Umfang: XXII, 891 S. : graph. Darst., Kt.

ISBN: 1887201343

Inhalt: Contents: 1. MATHEMATICAL MODELING OF WATERSHED HYDROLOGY ; 2. EMERGING PARADIGMS IN THE CALIBRATION OF HYDROLOGIC MODELS ; 3. ANN MODELING IN WATERSHED HYDROLOGY ; 4. A TOOLKIT FOR THE DEVELOPMENT AND APPLICATION OF PARSIMONIOUS HYDROLOGICAL MODELS ; 5. TESTING HYDROLOGIC MODELS: FORTIFICATION OR FALSIFICATION ; 6. A GLOBAL HYDROLOGIC MODEL ; 7. REGIONAL-SCALE HYDROCLIMATE MODEL ; 8. REGIONAL SIMULATION OF THE WATER BUDGET AND RIVER FLOWS WITH THE ISBA-MODCOU COUPLED MODEL: APPLICATION TO THE ADOUR AND RHONE BASINS ; 9. THE HYDROLOGICAL MODELING SYSTEM ARC/EGMO ; 10. A STORM SIMULATION IN LARGE WATERSHEDS WITH A HYDROLOGICAL MODEL SYSTEM AND A MESOSCALE METEOROLOGICAL MODEL ; 11. NUMERICAL MODEL OF RIVER FLOW FORMATION FROM SMALL TO LARGE SCALE RIVER BASINS ; 12. THE TOPKAPI MODEL ; 13. CEQUEAU HYDROLOGICAL MODEL ; 14. LASCAM: LARGE SCALE CATCHMENT MODEL ; 15. WATFLOOD/SPL9: HYDROLOGICAL MODEL & FLOOD FORECASTING SYSTEM ; 16. THE ARNO MODEL ; 17. LARGE BASIN RUNOFF MODEL ; 18. MODELING RUNOFF FROM HYDROLOGICALLY SIMILAR AREAS ; 19. MATHEMATICAL MODEL OF RAINFALL-RUNOFF TRANSFORMATION-WISTOO ; 20. THE CLS MODEL

Anmerkung: MAB0014.001: PIK N 454-12-0045 , Nachlass A. Becker

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Umfang: XXI, 1108 S.

Anmerkung: Literaturangaben

Sprache: Unbestimmte Sprache

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Umfang: XVI, 439 S. 4"

ISBN: 3540061150

Anmerkung: Literaturverz. S. 413-434

Sprache: Unbestimmte Sprache

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Umfang: [DVD] (112 Min.) , teilw. s/w , dolby digital 5.1

Originaltitel: The Fall

Inhalt: In einem Krankenhaus im Los Angeles der 1920er-Jahre erzählt ein querschnittsgelähmter Stuntman einer kleinen Mitpatientin eine Abenteuergeschichte um einen Rächer, der mit Hilfe einer Hand voll tapferer Männer einen Tyrannen beseitigen will. Der Märchenerzähler verfolgt dabei die Absicht, über das Mädchen an eine tödliche Dosis Morphium zu gelangen, um sich das Leben zu nehmen. Eine bildgewaltige, suggestive Reflexion über die ambivalente Kraft der menschlichen Fantasie, die sich jenseits der Genremuster des Fantasy-Epos an der Grenze von Erzählkino und Videokunst bewegt. [Film-Dienst]

Anmerkung: dt. ; engl. / UT: dt. ; engl.

Sprache: Unbestimmte Sprache

Schlagwort(e): DVD-Video ; DVD-Video

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Umfang: 1 Online-Ressource (xiv, 204 Seiten) , Illustrationen, Diagramme, Karten

ISBN: 9783030647773 , 978-3-030-64777-3

ISSN: 0921-092X , 1872-4663

Serie: Water science and technology library volume 99

Inhalt: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

Anmerkung: Contents 1 Introduction 1.1 What is Deep Learning? 1.2 Pros and Cons of Deep Learning 1.3 Recent Applications of Deep Learning in Hydrometeorological and Environmental Studies 1.4 Organization of Chapters 1.5 Summary and Conclusion References 2 Mathematical Background 2.1 Linear Regression Model 2.1.1 Simple Linear Regression 2.1.2 Multiple Linear Regression 2.2 Time Series Model 2.2.1 Autoregressive Model (AR) 2.3 Probability Distributions 2.3.1 Normal Distributions 2.3.2 Gamma Distribution 2.4 Exercises References 3 Data Preprocessing 3.1 Normalization 3.2 Data Splitting for Training and Testing 3.3 Exercises 4 Neural Network 4.1 Terminology in Neural Network 4.1.1 Components of Neural Network 4.1.2 Activation Functions 4.1.3 Error and Loss Function 4.1.4 Softmax and One-Hot Encoding 4.2 Artificial Neural Network 4.2.1 Simplest Network 4.2.2 Feedforward and Backward Propagation 4.2.3 Network with Multiple Input and Output Variables 4.2.4 Python Coding of the Simple Network 4.3 Exercises 5 Training a Neural Network 5.1 Initialization 5.2 Gradient Descent 5.3 Backpropagation 5.3.1 Simple Network 5.3.2 Full Neural Network 5.3.3 Python Coding of Network 5.4 Exercises Reference 6 Updating Weights 6.1 Momentum 6.2 Adagrad 6.3 RMSprop 6.4 Adam 6.5 Nadam 6.6 Python Coding of Updating Weights 6.7 Exercises References 7 Improving Model Performance 7.1 Batching and Minibatch 7.2 Validation 7.2.1 Python Coding of K-Fold Cross-Validation 7.3 Regularization 7.3.1 L-Norm Regularization 7.3.2 Dropout 7.3.3 Python Coding of Regularization 7.4 Exercises Reference 8 Advanced Neural Network Algorithms 8.1 Extreme Learning Machine (ELM) 8.1.1 Basic ELM 8.1.2 Generalized ELM 8.1.3 Python Coding 8.2 Autoencoder 8.2.1 Vanilla Autoencoder 8.2.2 Regularized Autoencoder 8.2.3 Python Coding of Regularized AE 8.3 Exercises Reference 9 Deep Learning for Time Series 9.1 Recurrent Neural Network 9.1.1 Backpropagation 9.1.2 Backpropagation Through Time (BPTT) 9.2 Long Short-Term Memory (LSTM) 9.2.1 Basics of LSTM 9.2.2 Example of LSTM 9.2.3 Backpropagation of a Simple LSTM 9.2.4 Backpropagation Through Time (BPTT) 9.3 Gated Recurrent Unit (GRU) 9.3.1 Basics of GRU 9.3.2 Example of GRU 9.3.3 Backpropagation of a Simple GRU Model 9.4 Exercises References 10 Deep Learning for Spatial Datasets 10.1 Convolutional Neural Network (CNN) 10.1.1 Definition of Convolution 10.1.2 Elements of CNN 10.2 Backpropagation of CNN 10.3 Exercises 11 Tensorflow and Keras Programming for Deep Learning 11.1 Basic Keras Modeling 11.2 Temporal Deep Learning (LSTM and GRU) 11.3 Spatial Deep Learning (CNN) 11.4 Exercises References 12 Hydrometeorological Applications of Deep Learning 12.1 Stochastic Simulation with LSTM 12.1.1 Mathematical Description for Stochastic Simulation with LSTM 12.1.2 Colorado Monthly Streamflow 12.1.3 Results of Colorado River 12.1.4 Python Coding 12.1.5 Matlab Coding 12.2 Forecasting Daily Temperature with LSTM 12.2.1 Preparing the Data 12.2.2 Methodology 12.2.3 Results 12.2.4 Python Coding 12.3 Exercises References 13 Environmental Applications of Deep Learning 13.1 Remote Sensing of Water Quality Using CNN 13.1.1 Introduction 13.1.2 Study Area and Monitoring 13.1.3 Field Data Collection 13.1.4 Point-Centered Regression CNN (PRCNN) 13.1.5 Results and Discussion 13.1.6 Conclusion 13.1.7 Python Coding References

In: Water science and technology library, volume 99

Sprache: Englisch

Schlagwort(e): Electronic books

DOI: 10.1007/978-3-030-64777-3

URL: Ebook (access only within the AWI network)

Mehr zum Autor: Singh, Vijay P. 1946-

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Umfang: 159 Seiten , Illustrationen

Sprache: Englisch

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Umfang: 1 Online-Ressource (xvi, 551 Seiten) , Illustrationen

ISBN: 9783030642020 , 978-3-030-64202-0

ISSN: 0921-092X , 1872-4663

Serie: Water science and technology library Volume 98

Inhalt: This book provides insights and a capacity to understand the climate change phenomenon, its impact on water resources, and possible remedial measures. The impact of climate change on water resources is a global issue and cause for concern. Water resources in many countries are extremely stressed, and climate change along with burgeoning populations, the rise in living standards, and increasing demand on resources are factors which serve to exacerbate this stress. The chapters provide information on tools that will be useful to mitigate the adverse consequences of natural disasters. Fundamental to addressing these issues is hydrological modelling which is discussed in this book and ways to combat climate change as an important aspect of water resource management.

Anmerkung: Contents 1 Trend Analyses of Seasonal Mean Temperature Series Pertaining to the Tapi River Basin Using Monthly Data / Ganesh D. Kale 2 Dry Spell and Wet Spell Characterisation of Nandani River Basin, Western Maharashtra, India / Abhijit Mohanrao Zende and Prashant Basavaraj Bhagawati 3 Assessment of Climate Change on Crop Water Requirement in Tandula Command of Chhattisgarh (India) / Rahul Kumar Jaiswal, H. L. Tiwari, and Anil Kumar Lohani 4 Impact of Climate Change on Hydrological Regime of Narmada River Basin / Deepak Kumar Tiwari, H. L. Tiwari, Raman Nateriya, and Satanand Mishra 5 Climate Change Impacts on Water Resources in Ethiopia / Abiot Ketema and G. S. Dwarakish 6 Spatio-Temporal Trend Analysis of Long-Term IMD-Gridded Precipitation in Godavari River Basin, India / C. H. Praveenkumar and V. Jothiprakash 7 Forecasting Reference Evapotranspiration Using Artificial Neural Network for Nagpur Region / Nikhil Band, Aniruddha Ghare, and Avinash Vasudeo 8 Time-Varying Downscaling Model (TVDM) and its Benefit to Capture Extreme Rainfall / Subbarao Pichuka and Rajib Maity 9 An Assessment of Impact of Land Use–Land Cover and Climate Change on Quality of River Using Water Quality Index / Manisha Jamgade and Shrikant Charhate 10 Assessment of Tail Behavior of Probability Distributions of Daily Precipitation Data Over India / Neha Gupta and Sagar Rohidas Chavan 11 Benefit of Time-Varying Models Developed Using Graphical Modeling Approach for Probabilistic Prediction of Monthly Streamflow / Riya Dutta and Rajib Maity 12 Determination of Effective Discharge Responsible for Sediment Transport in Cauvery River Basin / Shobhit Maheshwari and Sagar Rohidas Chavan 13 A Comparative Study of Potential Evapotranspiration in an Agroforestry Region of Western Ghats, India / Pandu Narayana and K. Varija 14 Influence of Air Temperature on Local Precipitation Extremes Across India / Sachidanand Kumar, Kironmala Chanda, and Srinivas Pasupuleti 15 Effect of Spatial and Temporal Land Use-Land Cover Change on the Rainfall Trend: A Case Study in Kerala / Lini R. Chandran and P. G. Jairaj 16 Innovations and Application of Operational Ocean Data Products for Security of Marine Environment / Madhulika Sinha and Shrikant Charhate 17 Statistical Downscaling of Sea Level by Support Vector Machine and Regression Tree Approaches / S. Sithara, S. K. Pramada, and Santosh G. Thampi 18 Assessing the Impacts of Climate Change on Crop Yield in Upper Godavari River Sub-basin Using H08 Hydrological Model / Pushpendra Raghav and T. I. Eldho 19 Evaluation of Time Discretization of Daily Rainfall From the Literature for a Specific Site / R. Harshanth, Saha Dauji, and P. K. Srivastava 20 Quality Checks on Continuous Rainfall Records: A Case Study / R. Harshanth, Saha Dauji, and P. K. Srivastava 21 Assuring Water Intake Sustainability Under Changing Climate / Gaurav Talukdar and Arup Kumar Sarma 22 Characteristics of Gldas Evapotranspiration and Its Response to Climate Variability Across Ganga Basin, India / Lalit Pal, C. S. P. Ojha, and Amit Kumar 23 Seasonal and Inter-Annual Variability of Sea Surface Temperature and Its Correlation with Maximum Sustained Wind Speed in Bay of Bengal / Jiya Albert and Prasad K. Bhaskaran 24 Comparison of CMIP5 Wind Speed from Global Climate Models with In-Situ Observations for the Bay of Bengal / Athira Krishnan and Prasad K. Bhaskaran 25 Trend Analysis of Temperature for Eastern Ganga Canal Command / Radha Krishan, Bhaskar R. Nikam, and Deepak Khare 26 Analysis of Long-Term Rainfall Trends in Rajasthan, India / Darshan Mehta and S. M. Yadav 27 Statistical Downscaling of GCM Output and Simulation of Rainfall Scenarios for Brahmani Basin / Lasyamayee Lopamudra Sahoo and Kanhu Charan Patra 28 Impact of Land Use–Land Cover Changes on the Streamflow of the Kolab River Basin Using SWAT Model / Partha Sarathi Bhunia and Kanhu Charan Patra 29 Statistical Downscaling of Climatic Variables in Indo-Gangatic Alluvial Plain / Prabhakar Shukla and Raj Mohan Singh 30 Comparing Global High-Resolution Precipitation Data with Rain Gauge Data in Assam, India / Pulendra Dutta, Dipsikha Devi, and Arup Kr. Sarma 31 Variability of Rainfall, Temperature and Potential Evapotranspiration at Annual Time Scale Over Tapi to Tadri River Basin, India / Prem Mahyavanshi, V. D. Loliyana, and Priyank J. Sharma 32 Climate Change and Water Resources: Emerging Challenges, Vulnerability and Adaptation in Indian Scenario / Y. Shiva Shankar, Abhishek Kumar, and Devendra Mohan 33 Observed Spatio-Temporal Trends of Precipitation and Temperature Over Afghanistan / S. Rehana, P. Krishna Reddy, N. Sai Bhaskar Reddy, Abdul Raheem Daud, Shoaib Saboory, Shoaib Khaksari, S. K. Tomer, and U. Sowjanya 34 Identification of Historical Shift, Dispersion, and Trend of the Monsoon Season for Guwahati City Using Fuzzy Segmentation and Trend Analyses / Amrutha Suresh and Pekkat Sreeja 35 Analysis of Intensity–Duration– Frequency and Depth–Duration– Frequency Curve Projections Under Climate Variability / Manish Kumar Sinha, Klaus Baier, Rafig Azzam, M. K. Verma, and Ramakar Jha 36 Changes in Monthly Hydro-Climatic Indices for Middle Tapi Basin, India / Priyank J. Sharma, P. L. Patel, and V. Jothiprakash 37 Multiobjective Automatic Calibration of a Physically Based Hydrologic Model Using Multiobjective Self-Adaptive Differential Evolution Algorithm / Saswata Nandi and M. Janga Reddy 38 Adaptive Neuro-Fuzzy Inference System-Based Yield Forecast Using Climatic Variables / Kalpesh Borse and P. G. Agnihotri 39 Impact of Climate Change on Hydrological Parameters / Arunima Priyadarsini Patnaik and Bandita Naik 40 Morphometric Analysis of Kosi River Basin, Bihar, India Using Remote Sensing and GIS Techniques / Niraj Kumar and Ramakar Jha 41 Simulation of Impact of Climate Change on the Performance of a Reservoir System in Eastern India / Satabdi Saha, Debasri Roy, and Rajib Das 42 Assessing the Impact of Spatial Resolution on Land Surface Model Based on Hydrologic Simulations / Aiendrila Dey and Renji Remesan 43 Infilling Missing Monthly Maximum and Minimum Temperature Dataset by EM Algorithm Followed by Distribution Based Statistical Assessment Using Eight Absolute Homogeneity Tests / P. Kabbilawsh, D. Sathish Kumar, and N. R. Chithra 44 Multisite Monthly to Daily Naturalised Streamflow Disaggregation Using Daily Flow Pattern Hydrograph / Vivek Verma 45 Error Analysis of TMPA Near Real-Time Precipitation Estimates for an Indian Monsoon Region / Ashish Kumar and RAAJ Ramsankaran 46 Comparison of Selection of Predictors for Statistical Downscaling of Precipitation Using Different Statistical Techniques / Kumar Keshav, Vivekanand Singh, and Roshni Thendiyath

In: Water science and technology library, Volume 98

Sprache: Englisch

Schlagwort(e): Electronic books ; Aufsatzsammlung

DOI: 10.1007/978-3-030-64202-0

URL: Ebook (access only within the AWI network)

UID:

Umfang: 1 Online-Ressource (261 Seiten)

Ausgabe: 1. Auflage

ISBN: 9783847417866 , 384741786X

Inhalt: Flüchtlinge sind in ihrem Leben mit Übergängen konfrontiert: auf individueller, sozialer und kultureller Ebene. Dieses Buch behandelt verschiedene Aspekte dieser Übergänge und ihre Überschneidungen mit Bildungserfahrungen. Studien aus unterschiedlichen Länderkontexten zeigen die komplexen Beziehungen zwischen Individuum, Kultur, Gesellschaft und Institutionen. Die Untersuchung dieser Beziehungen und Erfahrungen während der Übergangsprozesse soll zu einem tieferen Verständnis der verschiedenen Arten von Übergängen im Zusammenhang mit Bildung beitragen, was in der Zukunft zur Verbesserung von Unterstützungsstrukturen genutzt werden kann

Anmerkung: PrefaceIntroductionMariya Riekkinen and Natallia Bahdanovich Hanssen: Substantive equality of refugee children in education acts of Finland and NorwayMarketa Bacakova: Inclusive educational transitions for refugees with disabilities: Intersectionality and the right to inclusive educationHanife Akar and Anıl Kandemir: Emergent educational policies towards mainstreaming migrants in public education: The case of TurkeyAnna-Maria S. Marekovic and Anna Liisa Närvänen: Finding ways: From imagined to realized educational transitions and trajectoriesSandra Cadiou and Patricia Mothes: Unaccompanied minor's migration is also an inner journeyKarin Louise: A Tri-Menu Model of Learning to support young refugees' Cultural Wellbeing in AustraliaSazan M. Mandalawi and Robyn Henderson: A peer education program for adolescent girls in refugee camps in the Kurdistan Region of Iraq: Coping with transitionsOzge Karakus Ozdemirci: Landscaping educational transitions of Syrian students in the primary school context in Turkey: An ethnographic studyLisa-Katharina Möhlen, Elvira Seitinger and Seyda Subasi Singh: International efforts to leave refugee education behind through transition to inclusive educationFenna tom Dieck and Lisa Rosen: Before, in or after transition? On becoming a 'mainstream student' in Germany and Italy in the context of new migrationSharon Wagner and Loshini Naidoo: Engaging parents of refugee backgrounds in their children's education: Insights from AustraliaDimitris Zachos and Aikaterina Pavlidou: Refugee student education in Greece: Approaches and views of their parentsHanna Ragnarsdóttir and Susan Rafik Hama: Syrian refugee families in Iceland: Aspects of transitions in education and societySeun Bunmi Adebayo and Manuela Heinz: Migrant students' schooling experiences in Ireland: Perspectives from parentsAnh-Dao K. Tran and Hanna Ragnarsdóttir: Home and away for forty years: Transitional processes of Vietnamese refugees journey seeking liberty in IcelandAuthors' biographiesIndex , Zielgruppe: Lecturers and researchers in educational science and migration studies

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9783847426264

Sprache: Englisch

URL: Volltext  (kostenfrei)

Mehr zum Autor: Subasi Singh, Seyda

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Umfang: X, 61 Seiten , Illustrationen

ISBN: 9781780648903

Serie: ICAC review articles on cotton production research 6

Anmerkung: Literaturangaben , Contents: I: Introduction ; II: Climate Change Impacts on Major Cotton Production Regions ; III: Climate Change Impacts on Cotton Growth and Production ; IV: Management Approaches to Adapt to Impacts of Climate Change ; V: Role of Research in Modern Cotton Systems Adapting to Climate Change ; VI: Conclusion

Weitere Ausg.: Erscheint auch als

Sprache: Englisch

Schlagwort(e): Fachkunde

UID:

Umfang: XXVI, S. 553-986

Serie: NASA conference publication 207671, 2

Anmerkung: MAB0014.001: AWI A14-98-0224(2) , + 1 Ex.Atmo AWI A14-98-0224+5

In: NASA conference publication