Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks For Sustainable Water Resources Management In Upper Tana River Basin Kenya
DOWNLOAD
Download Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks For Sustainable Water Resources Management In Upper Tana River Basin Kenya PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks For Sustainable Water Resources Management In Upper Tana River Basin Kenya book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks For Sustainable Water Resources Management In Upper Tana River Basin Kenya
DOWNLOAD
Author : PhD Mutua (Rer. nat., Prof. Dr.-Ing. Benedict Mwavu)
language : en
Publisher:
Release Date : 2018
Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks For Sustainable Water Resources Management In Upper Tana River Basin Kenya written by PhD Mutua (Rer. nat., Prof. Dr.-Ing. Benedict Mwavu) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Climate change has continued to impact negatively on water resources globally. For instance, extreme weather conditions especially the drought phenomena have become frequent in Africa. This has prompted water engineers and hydrologists to formulate mitigation and adaptation measures to address these challenges. The frequency of drought event of a defined severity for a defined return period is fundamental in planning, designing, operating and managing water resources systems within a basin. This paper presents an analysis of the hydrological drought frequency for the upper Tana River basin in Kenya using the absolute Stream flow Drought Index (SDI) and modified Gumbel technique. The study used a 41-year (1970-2010) stream flow data and forecasted hydrological droughts for 2, 5, 10, 20, 50, 100, 200, 500 and 1000-year return periods in relation to the selected stream flows. The results provide an overview of drought trends within the river basin and therefore would be very useful in applying drought adaptation policies by water resource managers.
Spatio Temporal Drought Characterization And Forecasting Using Indices And Artificial Neural Networks A Case Of The Upper Tana River Basin Kenya
DOWNLOAD
Author : Raphael Muli Wambua
language : en
Publisher: GRIN Verlag
Release Date : 2019-04-08
Spatio Temporal Drought Characterization And Forecasting Using Indices And Artificial Neural Networks A Case Of The Upper Tana River Basin Kenya written by Raphael Muli Wambua and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-08 with Technology & Engineering categories.
Doctoral Thesis / Dissertation from the year 2016 in the subject Engineering - Civil Engineering, grade: 80.0, Egerton University, course: AGRICULTURAL ENGINEERING, language: English, abstract: Drought is a critical stochastic natural disaster that adversely affects water resources, ecosystems and people. Drought is a condition characterized by scarcity of precipitation and/or water quantity that negatively affects the global, regional and local land-scales. At both global and regional scales, drought frequency and severity have been increasing leading to direct and indirect decline in water resources. Increase in drought severity and frequency in the upper Tana River basin, Kenya, water resources systems have been adversely affected. Timely detection and forecasting of drought is crucial in planning and management of water resources. The main objective of this research was to formulate the most appropriate models for assessment and forecasting of drought using Indices and Artificial Neural Networks (ANNs) for the basin. Hydro-meteorlogical data for the period 1970-2010 at sixteen hydrometric stations was used to test the performance of the indices in forecasting of the future drought at 1, 3, 6, 9, 12, 18 and 24-months lead times, by constructing ANN models with different time delays. Drought conditions at monthly temporal resolution were evaluated using selected drought indices. The occurrence of drought was investigated using non-parametric Man-kendall trend test. Spatial distribution of drought severity was determined using Kriging interpolation techinique. In addition, a standard Nonlinear-Integrated Drought Index (NDI), for drought forecasting in the basin was developed using hydro-meteoroogical data for the river basin. The results of spaial drought show that the south-eastern parts of the basin are more prone to drought risks than the north-western areas. The Mann-Kendall trend test indicates an increasing drought trend in the south-eastern and no trend in north-western areas of the basin. Development of Surface Water Supply Index (SWSI) function, NDI and characteristic curves defining the return period and the probability of different drought magnitudes based on Drought Indices (DIs) was achieved. Drought Severity-Duration-Frequency (SDF) curves were developed. The formulated NDI tool can be adopted for a synchronized assessment and forecasting of all the three operational drought types in the basin. The results can be used in assisting water resources managers for timely detection and forecasting of drought conditions in prioritized planning of drought preparedness and early warning systems.
The Drought Risk Analysis Forecasting And Assessment Under Climate Change
DOWNLOAD
Author : Tae-Woong Kim
language : en
Publisher: MDPI
Release Date : 2021-01-06
The Drought Risk Analysis Forecasting And Assessment Under Climate Change written by Tae-Woong Kim and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-06 with Technology & Engineering categories.
This Special Issue is a platform to fill the gaps in drought risk analysis with field experience and expertise. It covers (1) robust index development for effective drought monitoring; (2) risk analysis framework development and early warning systems; (3) impact investigations on hydrological and agricultural sectors; (4) environmental change impact analyses. The articles in the Special Issue cover a wide geographic range, across China, Taiwan, Korea, and the Indo-China peninsula, which covers many contrasting climate conditions. Hence, the results have global implications: the data, analysis/modeling, methodologies, and conclusions lay a solid foundation for enhancing our scientific knowledge of drought mechanisms and relationships to various environmental conditions.
Applications Of Machine Learning In Hydroclimatology
DOWNLOAD
Author : Roshan Srivastav
language : en
Publisher: Springer Nature
Release Date : 2024-11-04
Applications Of Machine Learning In Hydroclimatology written by Roshan Srivastav and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Mathematics categories.
Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. The book explores how artificial intelligence can unravel the complexities of hydrological systems, providing researchers and practitioners with cutting-edge tools to model, predict, and manage these systems with greater precision and effectiveness. It thoroughly examines the modeling of hydrometeorological extremes, such as floods and droughts, which are becoming increasingly difficult to predict due to climate change. By leveraging AI-driven methods to forecast these extremes, the book offers innovative approaches that enhance predictive accuracy. It emphasizes the importance of analyzing non-stationarity and uncertainty in a rapidly evolving climate landscape, illustrating how statistical and frequency analyses can improve hydrological forecasts. Moreover, the book explores the impact of climate change on flood risks, drought occurrences, and reservoir operations, providing insights into how these phenomena affect water resource management. To provide practical solutions, the book includes case studies that showcase effective mitigation measures for water-related challenges. These examples highlight the use of machine learning techniques such as deep learning, reinforcement learning, and statistical downscaling in real-world scenarios. They demonstrate how artificial intelligence can optimize decision-making and resource management while improving our understanding of complex hydrological phenomena. By utilizing machine learning architectures tailored to hydrology, the book presents physics-guided models, data-driven techniques, and hybrid approaches that can be used to address water management issues. Ultimately, Applications of Machine Learning in Hydroclimatology empowers researchers, practitioners, and policymakers to harness machine learning for sustainable water management. It bridges the gap between advanced AI technologies and hydrological science, offering innovative solutions to tackle today's most pressing challenges in water resources.
The Impacts Of Climate Change On Regional Water Resources And Agriculture In Africa
DOWNLOAD
Author : Alyssa McCluskey
language : en
Publisher: World Bank Publications
Release Date : 2007
The Impacts Of Climate Change On Regional Water Resources And Agriculture In Africa written by Alyssa McCluskey and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Agriculture categories.
This paper summarizes the methods and findings of the hydrological assessment component of the project studying likely impacts of climate change on water resources and agriculture in Africa. The first phase of the study used a version of a conceptual rainfall-runoff model called WatBal (Water Balance) applied to gridded data to simulate changes in soil moisture and runoff across the whole continent of Africa rather than to any particular catchment or water resource system. The model inputs were the climate variables of the 1961-90 climatology and physiological parameters (such as soil properties and land use) derived from global datasets for each of the 0.5 degree latitude/longitude cells across the continent. The primary model output comprised a time series (monthly time step) of simulated runoff for all the grid cells for each of the districts in the countries of interest. The second phase of the study extended the hydrology analyses to update the above hydroclimatic series to the year 2000 using updated input data. To ascertain the possible impacts of climate change within the districts being investigated this study used synthetic or GCM-based climate change scenarios as input to the WatBal model. The WatBal model was used to determine the impact of these different scenarios on runoff and actual evaporation and hence flow in the districts under study. The generated hydroclimatic series and scenario analyses were used as inputs into various Ricardian regressions in other analyses measuring likely impacts of climate change on the agricultural economies of Africa
Advances In Hydrologic Forecasts And Water Resources Management
DOWNLOAD
Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2021-01-20
Advances In Hydrologic Forecasts And Water Resources Management written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Technology & Engineering categories.
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
Handbook Of Nature Based Drought Solutions
DOWNLOAD
Author : Saeid Eslamian
language : en
Publisher: Elsevier
Release Date : 2025-06-27
Handbook Of Nature Based Drought Solutions written by Saeid Eslamian and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Technology & Engineering categories.
Handbook of Nature-Based Drought Solutions covers the latest research on successful, sustainable solutions for the efficient water resources management to overcome the drought and water scarcity problems. The book centers around the realms of drought modeling green infrastructure planning, and the utilization of remote sensing to evaluate, dissect, and oversee drought occurrences. It delves into subjects such as risk mitigation, strategic planning, policy considerations, and the ecological restoration of degraded lands after drought. The use of case studies and novel methodologies including soft computing technique application will help the reader gain a deeper knowledge in understanding, predicting, and mitigating hydrometeorological hazards. - Offers fundamental information on nature-based techniques to drought management - Includes case studies and methods for the successful implementation of ecological restoration of degraded lands - Covers both traditional and novel techniques for the efficient water resources management to overcome drought and water scarcity problems
Study Of Climate Change Impact On Hydro Meteorological Parameters In Bagmati River Basin
DOWNLOAD
Author : Keshav Kumar
language : en
Publisher:
Release Date : 2024-05-27
Study Of Climate Change Impact On Hydro Meteorological Parameters In Bagmati River Basin written by Keshav Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Technology & Engineering categories.
In this comprehensive study, the impact of climate change on hydro-meteorological parameters in the Bagmati River Basin is rigorously examined. Climate change poses significant threats, altering the frequency of extreme hydrological events with profound societal and environmental implications. These impacts encompass human health, safety, water resources management, sediment transport dynamics, and infrastructure resilience. The research employs statistical downscaling techniques using atmospheric predictors such as temperature, humidity, and geopotential height to refine precipitation data. Monthly rainfall data from four rain gauge stations and reanalysis data spanning 33 years are utilized, alongside discharge data from a key gauging site on the Bagmati River. Statistical models, including Feedforward Neural Networks (FFNN) and Wavelet Neural Networks (WNN), are developed and validated to predict precipitation patterns. WNN emerges as particularly effective for precipitation prediction, informing projections up to 2036 using General Circulation Model (GCM) outputs. Furthermore, the study advances rainfall-runoff modeling using FFNN and WNN, enhanced through Particle Swarm Optimization (PSO) for optimal parameterization. This hybrid approach improves the robustness of runoff estimation critical for water resource management. Trend analysis employing Mann-Kendall tests and Sen's Slope estimators reveals significant climate-induced variations in rainfall and runoff patterns from 1981 to 2013, crucial for understanding basin hydrology amidst changing climatic conditions. Addressing drought, the study employs the Standardized Precipitation Index (SPI) to forecast future drought occurrences during 2014-2036, highlighting drought years in 2023, 2027, 2031, and 2033. This underscores the study's contribution to drought monitoring and mitigation strategies in the region. Overall, this research underscores the urgent need for systematic approaches to mitigate the impacts of climate change on hydrological systems.
The Water Resource Implications Of Changing Climate In The Volta River Basin
DOWNLOAD
Author : Matthew McCartney
language : en
Publisher: IWMI
Release Date : 2012
The Water Resource Implications Of Changing Climate In The Volta River Basin written by Matthew McCartney and has been published by IWMI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
The Volta River is one of the major rivers in Africa. In this study, a dynamic regional climate model (CCLM), a hydrological model (SWAT) and a water resource model (WEAP) were used to provide an assessment of one downscaled ‘middle impact’ climate change scenario on the performance of existing and planned irrigation and hydropower schemes. The results indicate that, by the middle of the twenty-first century, altered climate is likely to undermine the technical performance of existing and planned reservoirs, which will, in turn, affect development outcomes. Future water resources development in the basin requires interventions that bolster resilience and water security. Much more systematic planning of water storage, greater cooperation between the riparian states and consideration of innovative approaches to water storage are needed.
Management Of Climate Induced Drought And Water Scarcity In Egypt
DOWNLOAD
Author : Samiha A.H. Ouda
language : en
Publisher: Springer
Release Date : 2016-05-14
Management Of Climate Induced Drought And Water Scarcity In Egypt written by Samiha A.H. Ouda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-14 with Technology & Engineering categories.
The book contains suggestion on suitable crop rotations for salt-affected soils to maximize the productivity of lands and water under current climate and under climate change in 2030. This book discusses droughts and water scarcity, which are important issues related to natural phenomena and affected by climate variability and change. It calls for reassessing the prevailing crop structure in Egypt under rain fed irrigation in North Egypt and under surface irrigation in the Nile Delta and Valley. Droughts affect rain fed agriculture, while water scarcity affects irrigated agriculture. The book investigates proposals for improving crop structure in these areas, taking into account the sustainability of water and soil resources. Further, it explores improved management options for crop production in both rain fed and irrigated agriculture. Lastly, it examines suggestions on more rational use of irrigation water in irrigated agriculture to conserve irrigation water under present climate conditions and to help meet the anticipated demand under climate change conditions.