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Author : Lenée A. Dedeaux
Publisher :
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.:/5 (12 download)
Download or read book Predicting Groundwater Level Using Data Mining Techniques written by Lenée A. Dedeaux and published by . This book was released on 2017 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dr. Kamakshaiah Kolli
Publisher : Lulu.com
ISBN 13 : 0359882846
Total Pages : 130 pages
Book Rating : 4.3/5 (598 download)
Download or read book ASSESSMENT OF WATER QUALITY USING DATA MINING TECHNIQUES written by Dr. Kamakshaiah Kolli and published by Lulu.com. This book was released on with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Astha Bista
Publisher :
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.:/5 (113 download)
Download or read book Assessment of Spatiotemporal Variations of Groundwater Levels in the Platte River Basin Using Data Mining written by Astha Bista and published by . This book was released on 2019 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid population growth and climate variability have been posing pressure on groundwater management, especially in regions dominated by irrigation agriculture. Effective management practices require a better understanding of groundwater dynamics and its contributing factors, such as recharge, groundwater-surface water interactions, soil and unsaturated zone characteristics. Although groundwater models can provide valuable insights into these questions, these models are often nonexistent or cost prohibitive. The purpose of this study is to use a data-driven approach to understand the spatiotemporal dynamics of groundwater level observations. Using the Platte River Basin in Nebraska as the study area, I examined explanatory factors (e.g. precipitation, pumping and streamflow) that may be associated with the dynamics of groundwater table using data mining techniques. Groundwater level data from 14 wells during the time period of 2000-2018 was used for this study. Two different approaches for examining the spatial and temporal datasets were employed and compared. In the first approach, I used the principal component analysis (PCA) and a cluster analysis to group the wells into three different clusters. A cross-correlation analysis was then used to associate the clusters with explanatory variables. In the second approach, I used multivariate singular spectrum analysis (MSSA) to decompose the time series into three components, including trends, seasonal and other oscillatory signals. Then a time series clustering method was adopted to divide the wells into different groups. The oscillatory signals from the MSSA and time-series clustering were used to examine temporal dynamics of each group of wells. Both approaches were found to be useful in understanding the spatial pattern and explanatory factors influencing the groundwater level variations. The spatiotemporal variations in groundwater levels in the Platte River Basin were found to be influenced by groundwater pumping, natural recharge and hydrological connection with the Platte River and its tributaries in varying degrees. This study shows that data mining is a useful tool to understand groundwater resource dynamics.
Author : P. Gnanasekaran
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Ground Water Level Estimator With Back Propagation Neural Network Classification Using Machine Learning Approach written by P. Gnanasekaran and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The groundwater is among the most priceless resources. The continual depletion of water is among the major factors impacting the development of the economy and society. The utilization of the water will depend on how easily it can be reached. The problem of water scarcity is a result of population growth and climate change. This would have increased the need for groundwater. However, there are differences in the groundwater's distribution. Three different types of models periodic, polynomial, and rainfall models that take more time and have less accuracy are used in a single pass learning process to predict groundwater. The data from the more than 100 observation wells in each of these districts were reviewed by these models, which subsequently produced seasonal models to illustrate the behavior of the groundwater. We state that the annual groundwater availability for use in the future is achieved utilizing a rainfall level predictor in our proposed method. The system created a precise classification in order to determine the estimated groundwater level with various variability. We estimated groundwater level in our suggested system at different groundwater well locations in India using a BPNN model. Additionally, we conducted sensitivity research using several feature combination scenarios, comparing the accuracy and reliability of the predictions that were generated. In this work, the usage and comparison of three data-driven models for predicting short-term groundwater levels is the main topic. The objective is to develop a new data-based method for forecasting groundwater levels that is extremely accurate and that can help water managers, engineers, and other stakeholders manage groundwater levels in a more effective and sustainable way.
Author : Saeid Eslamian
Publisher : Elsevier
ISBN 13 : 012821970X
Total Pages : 484 pages
Book Rating : 4.1/5 (282 download)
Download or read book Handbook of HydroInformatics written by Saeid Eslamian and published by Elsevier. This book was released on 2022-11-30 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series.? Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc.?It is a fully comprehensive handbook providing all the information needed around classic soft-computing techniques. This volume is a true interdisciplinary work, and the audience includes postgraduates and early career researchers interested in Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, and Chemical Engineering. - Key insights from global contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Introduces classic soft-computing techniques, necessary for a range of disciplines.
Author : Hamid Reza Pourghasemi
Publisher : Springer
ISBN 13 : 3319733834
Total Pages : 296 pages
Book Rating : 4.3/5 (197 download)
Download or read book Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi and published by Springer. This book was released on 2018-12-13 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.
Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811651205
Total Pages : 845 pages
Book Rating : 4.8/5 (116 download)
Download or read book Proceedings of International Conference on Data Science and Applications written by Mukesh Saraswat and published by Springer Nature. This book was released on 2021-11-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Author : Vohra, Rubeena
Publisher : IGI Global
ISBN 13 :
Total Pages : 311 pages
Book Rating : 4.3/5 (693 download)
Download or read book Advanced Geospatial Practices in Natural Environment Resource Management written by Vohra, Rubeena and published by IGI Global. This book was released on 2024-03-18 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the relentless depletion of natural resources has reached a critical juncture, demanding innovative solutions. Advanced Geospatial Practices in Natural Environment Resource Management dives into the intricate tapestry of issues jeopardizing ecosystems. This book systematically dissects the fundamental drivers, traces the historical evolution, and elucidates the underlying causes that have led to this precarious point. From deforestation to pollution, from climate change to habitat destruction, these challenges are multifaceted. By harnessing the power of data-driven decision-making and predictive modeling, this book advocates for a profound shift in the approach to environmental issues. This book also explores the complexities of water, soil, and air-related challenges, offering technically sound solutions that strike a balance between legislative, economic, social, and political considerations. The holistic approach championed in these pages holds the potential to benefit governments, businesses, and communities alike. This book is ideal for a diverse audience, including students, scholars, and researchers, as well as environmental science enthusiasts, geospatial technology professionals, and AI/ML practitioners. Policymakers, environmental engineers, and professionals engaged in governmental and corporate sustainability initiatives will also discover practical solutions to address the pressing challenges.
Author : Vijay Kotu
Publisher : Morgan Kaufmann
ISBN 13 : 0128016507
Total Pages : 447 pages
Book Rating : 4.1/5 (28 download)
Download or read book Predictive Analytics and Data Mining written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2014-11-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples
Author : Hamid Reza Pourghasemi
Publisher : Elsevier
ISBN 13 : 0128156953
Total Pages : 800 pages
Book Rating : 4.1/5 (281 download)
Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2019-01-18 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example
Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3031477243
Total Pages : 890 pages
Book Rating : 4.0/5 (314 download)
Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sandra Guzman
Publisher :
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4.:/5 (11 download)
Download or read book Methodology to Predict Daily Groundwater Levels by the Implementation of Machine Learning and Crop Models written by Sandra Guzman and published by . This book was released on 2016 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: The continuous decline of groundwater levels caused by variations in climatic conditions and crop water demands is an increased concern for the agricultural community. It is necessary to understand the factors that control these changes in groundwater levels so that we can better address declines and develop improved conservation practices that will lead to a more sustainable use of water. In this study, two machine learning techniques namely support vector regression (SVR) and the nonlinear autoregressive with exogenous inputs (NARX) neural network were implemented to predict daily groundwater levels in a well located in the Mississippi Delta Region (MDR). Results of the NARX model indicate that a Bayesian regularization algorithm with two hidden nodes and 100 time delays was the best architecture to forecast groundwater levels. In another study, the SVR and the NARX model were compared for the prediction of groundwater withdrawal and recharge periods separately. Results from this study showed that input data classified by seasons lead to incremental improvements in the model accuracy, and that the SVR was the most efficient machine learning model with a Mean Squared Error (MSE) of 0.00123 m for the withdrawal season. Analysis of input variables such as previous daily groundwater levels (Gw), precipitation (Pr), and evapotranspiration (ET) showed that the combination of Gw+Pr provides the optimal set for groundwater prediction and that ET degraded the modeling performance, especially during recharge seasons. Finally, the CROPGRO-Soybean crop model was used to simulate the impacts of different volumes of irrigation on the crop height and yield, and to generate the daily irrigation requirements for soybean crops in the MDR. Four irrigation threshold scenarios (20%, 40%, 50% and 60%) were obtained from the CROGRO-Soybean model and used as inputs in the SVR to evaluate the predicted response of daily groundwater levels to different irrigation demands. This study demonstrated that conservative irrigation management, by selecting a low irrigation threshold, can provide good yields comparable to what is produced by a high volume irrigation management practice. Thus, lower irrigation volumes can have a big impact on decreasing the amount of groundwater withdrawals, while still maintaining comparable yields.
Author : John M. Sharp Jr.
Publisher : Geological Society of America
ISBN 13 : 0813712157
Total Pages : 312 pages
Book Rating : 4.8/5 (137 download)
Download or read book The Edwards Aquifer written by John M. Sharp Jr. and published by Geological Society of America. This book was released on 2019-11-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the world's great karstic aquifer systems, the Edwards aquifer system supplies water for more than 2 million people and for agricultural, municipal, industrial, and recreational uses. This volume reviews the current state of knowledge, current and emerging challenges to wise use of the aquifer system, and some technologies that must be adopted to address these challenges"--
Author : D.R. Helsel
Publisher : Elsevier
ISBN 13 : 0080875084
Total Pages : 539 pages
Book Rating : 4.0/5 (88 download)
Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Author : Senapathi Venkatramanan
Publisher : Elsevier
ISBN 13 : 0128154144
Total Pages : 392 pages
Book Rating : 4.1/5 (281 download)
Download or read book GIS and Geostatistical Techniques for Groundwater Science written by Senapathi Venkatramanan and published by Elsevier. This book was released on 2019-05-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. - Provides details on the application of GIS and statistics in groundwater studies - Includes practical coverage of the use of spatial analysis techniques in groundwater science - Bridges the gap between geostatistics and GIS as it relates to groundwater science and management - Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues
Author :
Publisher : World Scientific
ISBN 13 :
Total Pages : 1054 pages
Book Rating : 4./5 ( download)
Download or read book written by and published by World Scientific. This book was released on with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shie-yui Liong
Publisher : World Scientific
ISBN 13 : 9814483028
Total Pages : 2073 pages
Book Rating : 4.8/5 (144 download)
Download or read book Hydroinformatics, Proceedings Of The 6th International Conference (In 2 Volumes, With Cd-rom) written by Shie-yui Liong and published by World Scientific. This book was released on 2004-06-18 with total page 2073 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydroinformatics addresses cross-disciplinary issues ranging from technological and sociological to more general environmental concerns, including an ethical perspective. It covers the application of information technology in the widest sense to problems of the aquatic environment.This two-volume publication contains about 250 high quality papers contributed by authors from over 50 countries. The proceedings present many exciting new findings in the emerging subjects, as well as their applications, such as: data mining, data assimilation, artificial neural networks, fuzzy logic, genetic algorithms and genetic programming, chaos theory and support vector machines, geographic information systems and virtual imaging, decision support and management systems, Internet-based technologies.This book provides an excellent reference to researchers, graduate students, practitioners, and all those interested in the field of hydroinformatics.
