8 results on '"Raphael Muli Wambua"'
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2. Drought Estimation-and-Projection Using Standardized Supply-Demand-Water Index and Artificial Neural Networks for Upper Tana River Basin in Kenya
- Author
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Raphael Muli Wambua
- Abstract
Drought occurrence, frequency and severity in the Upper Tana River basin (UTaRB) have critically affected water resource systems. To minimize the undesirable effects of drought, there is a need to quantify and project the drought trend. In this research, the drought was estimated and projected using Standardized Supply-Demand-Water Index (SSDI) and an Artificial Neural Network (ANN). Field meteorological data was used in which interpolated was conducted using kriging interpolation technique within ArcGIS environment. The results indicate those moderate, severe and extreme droughts at varying magnitudes as detected by the SSDI during 1972-2010 at different meteorological stations, with SSDI values equal or less than -2.0. In a spatial domain, the areas in south-eastern parts of the UTaRB exhibit the highest drought severity. Time-series forecasts and projection show that the best networks for SSDI exhibit respective ANNs architecture. The projected extreme droughts (values less than -2.00) and abundant water availability (SSDI values ³ 2.00) were estimated using Recursive Multi-Step Neural Networks (RMSNN). The findings can be integrated into planning the drought-mitigation-adaptation and early-warning systems in the UTaRB.
- Published
- 2022
3. Spatio-temporal characterization of Agricultural Drought using Soil Moisture Deficit Index (SMDI) in the Upper Tana River basin, Kenya
- Author
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Raphael Muli Wambua
- Subjects
Hydrology ,geography ,Index (economics) ,geography.geographical_feature_category ,Soil moisture deficit ,business.industry ,Drainage basin ,Structural basin ,Food insecurity ,Kriging ,Agriculture ,Dry season ,Environmental science ,business - Abstract
Occurrence of Agricultural drought in a river basin is associated with food insecurity. There is need to integrate agricultural drought characteristics in decision making within upper Tana River basin. In this research, characterization of spatio-temporal Agricultural Drought using Soil Moisture Deficit Index (SMDI), based on hydro-meteorological data was conducted. Eightmeteorological stations with data for 41 years were used. The computation was interpolated using kriging interpolation technique within ArcGIS environment. The long-term soil-water was simulated using AquaCrop model. For station ID 9037112, the values of SMDI for dry season are lower than those for the wet seasons. It is deduced that the lower elevations of the basin in southeastern parts exhibit more drought-prone areas than those in the higher elevations at north-western areas. From this study, Severity-area-frequency curves (SAF) curves for 2, 5, 10, 20, 50 and 100-year return periods were developed. The analysis of spatio-temporal drought characteristics can be adopted for prioritized mitigation of agricultural drought impacts.
- Published
- 2019
4. Engineering Research Methods. Research Proposal, Structure of a Paper, Data Collection and Analysis
- Author
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Raphael Muli Wambua and Raphael Muli Wambua
- Subjects
- Engineering--Research--Methodology
- Abstract
Document from the year 2023 in the subject Engineering - General, South Eastern Kenya University, Kitui Campus, language: English, abstract:'Engineering Research Methods'is a text book intended for students and instructors in University or higher education for postgraduate students undertaking Engineering and related applied Sciences. Some of the fields which this text is relevant include Agricultural Engineering, Irrigation and Drainage Engineering, Civil and Environmental Engineering, Water Resources Engineering, Mechanical Engineering, Hydraulics Engineering and Electrical Engineering. Other related Physical and Applied Sciences Field may include General Agriculture, Agricultural Education and Extension, Horticulture sciences The content of this text book has been presented in a coherent style, arranged in logical sequence that adheres to University and higher education curriculum as it is customized to the postgraduate research that take place in Engineering and Applied Sciences. This makes the book suitable for every postgraduate student. For proper illustrations, some examples have been quoted especially in research problem and research objectives to help postgraduate researchers to grasp knowledge and skills on research problem identification. Each chapter is well formulated with relevant diagrams and illustration for the readers to easily comprehend the details presented. For the purpose of improvement, any criticism from students, trainers and practitioners will be thankfully received by the author.
- Published
- 2023
5. Soil and Water Management. An Introductory Textbook
- Author
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Raphael Muli Wambua and Raphael Muli Wambua
- Abstract
Document from the year 2020 in the subject Geography / Earth Science - Geology, Mineralogy, Soil Science, Egerton University (FACULTY OF ENGINEERING AND TECHNOLOGY), course: AGRICULTURAL ENGINEERING, language: English, abstract: Soil and Water Management is a text book intended for students and instructors in University or higher education for Certificate, Diploma and Degree students in a number of courses such as General Agriculture, Agricultural Education and Extension, Horticulture and other allied professions. The content of the text book has been presented in a coherent format, arranged in an explicit style that adheres to University and higher education curriculum. The textbook is partitioned into section A and section B with Review questions at the end to explicitly help the trainees comprehend the topics. This makes the book suitable for easy reading. For the calculations, worked examples have been solved in a way of illustration and details are presented. Each chapter of the book has worked examples for the readers to expound on subject knowledge.
- Published
- 2020
6. Assessment of Rainfall, Streamflow and Reservoir Level Trends for Malewa River Catchment, Naivasha, Kenya
- Author
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Romulus O. Okwany, Elizabeth Wambui Nyokabi, and Raphael Muli Wambua
- Subjects
Hydrology ,geography ,education.field_of_study ,geography.geographical_feature_category ,Population ,Drainage basin ,Water resources ,Trend analysis ,Streamflow ,Tributary ,Environmental science ,Water quality ,Water cycle ,education - Abstract
Appropriate water quality and quantity are critical problem greatly affecting significant proportion of the population particularly those living in semi-arid and arid areas. Rainfall characteristics, streamflow and reservoir levels are some of the key hydro-meteorological variables within a catchment in the determination of sufficiency of water quantity. Lake Naivasha reservoir level continues to be hit by anthropogenic stressors such as loss of wetlands, water abstraction and eutrophication. Also there has been a lot of fluctuation in flow discharge of Malewa River over the years where the tributaries (Turasha and Karati streams) usually dries up during dry season. This paper presents the results of a research to assess the time series trends of rainfall, streamflow and lake basin levels data in the catchment from 1980-2018 using Mann-Kendall trend test to assess water quantity status. Monthly stream flow, rainfall and reservoir level data in the catchment were obtained from Water Resources Management Authority (WRMA) and Kenya Meteorological Department (KMD) for the years 1980-2018. Non-parametric Mann-Kendall rank statistics test was used to examine the trend components of hydro-meteorological variables. The P-values were used to test whether the null hypotheses were statistically significant (α
- Published
- 2021
7. Spatio-Temporal Drought Characterization and Forecasting Using Indices and Artificial Neural Networks. A Case of the Upper Tana River Basin, Kenya
- Author
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Raphael Muli Wambua and Raphael Muli Wambua
- Abstract
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.
- Published
- 2019
8. Drought Forecasting Under Climate Change Scenarios Using Artificial Neural Networks for Sustainable Water Resources Management in Upper Tana River Basin, Kenya
- Author
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Benedict Mwavu Mutua, Raphael Muli Wambua, and James Messo Raude
- Subjects
Water resources ,Return period ,Extreme weather ,geography ,geography.geographical_feature_category ,Resource (biology) ,Gumbel distribution ,Drainage basin ,Environmental science ,Climate change ,Structural basin ,Water resource management - Abstract
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.
- Published
- 2018
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