Statistical Trend Analysis of Residential Water Demand in Kisumu City, Kenya

Nyabwanga, Robert Nyamao; Otumba, Edgar Ouko; Onyango, Fredrick; Otieno, Simeyo

doi:10.11648/j.ajtas.20150403.16

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…In order to predict water demand in future years, trend analysis conducted to water consumption data series in annual scale using the parametric method of Ordinary Least Square (OLS). Nyamao Nyabwanga et al (2015) has applied this method in Kisumu city in Kenya. Significance of the slope of trend line tested using the F-Test.…”

Section: Population Growth Modelsmentioning

confidence: 99%

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A Mathematical Population Growth Model for Urban Water Security Management and Sustainability in Cities (Case Study: Tabriz City)

Imani¹,

Dinpashoh²,

Asadi³

et al. 2023

Preprint

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In this research, a new conceptual framework introduced to analysis of water security. Using the exponential, logistic growth model, and employing the historical population of Tabriz city from 1956 to 2016, the future period (2022-2100) population predicted. Pearson Correlation, Spearman's Rho and Kendall's rank coefficients were used for analyzing correlation between population and water consumption. In addition, the amount of city water demand in the future period predicted using the ordinary least square model. Then, water stress and water scarcity indices calculated for Tabriz city in the future period. Results indicated that the mathematical population growth models are very suitable for prediction of city population. There was a significant positive correlation between the city population and water demand. In addition, the amount of water demand will proportionally increase with rising number of population. Finally, linear and quadratic equations presented for city water demand based on the city population number. It can be concluded that Tabriz city will be faced with severe water stress in the future period. The proposed new method in this study can be used for other different cities of the world. Also, Results will be helpful for decision makers in optimum management of urban water resources.

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Section: Population Growth Modelsmentioning

confidence: 99%

“…where, γ_0 is the intercept; γ_1 is the coefficient of linear term; γ_2 is the coefficient of quadratic term; and ε_i is the residual (Nyamao Nyabwanga, 2015). In this research, we used both of the mentioned trend models for prediction of urban water demand at Tabriz city.…”

Section: Ordinary Least Square Model (Ols)mentioning

confidence: 99%

A Mathematical Population Growth Model for Urban Water Security Management and Sustainability in Cities (Case Study: Tabriz City)

Imani¹,

Dinpashoh²,

Asadi³

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The positive value of S indicates an upward trend, while a negative value indicates a downward trend in the time series data (Nyamao et al 2015).…”

Section: N = N(n − 1)mentioning

confidence: 99%

Evaluation of the quality of irrigation water using the Agriwater software

Bautista

Pacheco²,

Delgado³

2021

Ecosist. Recur. Agropec.

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Since water is an increasingly limited resource, having methods for evaluating its quality is necessary to ensure an adequate and sustainableuse for human consumption, agriculture and industry. The aim of this work was to describe agriwater software for evaluating the quality of irrigation water. The software consisted of the following stages: a) development of a database capable of hosting all the information stored in the software; b) conversion of chemical units; c) indexes calculation; and d) evaluation of performance and efficiency in data processing. The Agriwater software converts measuring units of ions to mg L-1, meq L-1 and mmol L-1, calculating the following water quality indexes: sodium absorption ratio, effective salinity, potential salinity and chloride toxicity. The result is Agriwater software, a professional tool that can handle, analyze and evaluate thousands of data in seconds in an intuitive and simple way.

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Statistical Trend Analysis of Residential Water Demand in Kisumu City, Kenya

Cited by 2 publications

References 5 publications

A Mathematical Population Growth Model for Urban Water Security Management and Sustainability in Cities (Case Study: Tabriz City)

A Mathematical Population Growth Model for Urban Water Security Management and Sustainability in Cities (Case Study: Tabriz City)

Evaluation of the quality of irrigation water using the Agriwater software

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