WATER RESOURCES USE, ABUSE AND REGULATIONS IN NIGERIA

The evolvement processes of water laws in Nigeria, as well as their efficiency in the sustenance of surface water resources, were studied. A cursory look was also taken into the mode of access to water resources by households in Nigeria. This was done vis-à-vis the governmental effort at providing potable water for its teeming population as well as the Land Use Act of 1978, which vests absolute control and ownership of all water resources, ground and surface, in the land owner. About 47 million Nigerians still rely, exclusively, on surface water sources to meet their domestic needs. Yet, pollution discharge into the surface water by individuals and industries go on unmitigated, unregulated, and unpunished due to weaknesses in the existing laws. The involvement of the scientific community in the regular calibration and monitoring of surface water quality as a tool for managing the surface and groundwater resources, among other things, would be an advantageous tool for curbing the pollution menace

Study of Auto Purification Capacity of River Atuwara in Nigeria

The aim of this paper was to study and predict the self-purification capacity of River Atuwara. This was done primarily by measuring the Dissolved Oxygen (DO) downstream of a pre-selected pollution discharge point on River Atuwara and then predicting the same using the modified Streeter-Phelps equations. Other data gathered from each of the 17 sampling stations on River Atuwara and used in the analysis included Biochemical Oxygen Demand, (BOD), pH, stream velocity, stream depth and distance. Predicted DO deficit trend lines were first fitted by retaining the original re-aeration coefficient component, k2, of the modified Streeter-Phelps equation (USGS equation) and subsequently by substituting it with Atuwara reaeration coefficient model. It was found that the latter displayed better predictive capacity. Results also demonstrated that the auto-purification capacity of the river which is already limited by the relatively low DO saturation level is further threatened by the wastes being discharged into it at varying intervals. Some of the wastes which are non-biodegradable and acidic were also found to be interrupting the auto-purification processes of the river. Water from River Atuwara requires treatment before it can be considered safe for consumption by its current users

Towards the Development of a Time-Out Multiple C-R CAPTCHA Framework Using Integrated Mathematical Modeling

The internet has suffered from large forms of insecurity ranging from scamming, hacking and theft of information. Lately the use of CAPTCHAs has become a common security tool for authentication and authorization. However CAPTCHAS has suffered from certain vulnerabilities in the context of the simplicity offered by the challenge-response scenario and its timing which leaves room for improvement. This paper proposes a Time-Out Multiple Challenge-Response (C-R) CAPTCHA Framework that Utilizes Mathematical Modelling as a basis for overcoming some of the challenges faced by current CAPTCHA Systems. Our approach ensures security during the authorization and authentication process

An Approach to Reaeration Coefficient Modeling in Local Surface Water Quality Monitoring

Reaeration coefficient (k2) for River Atuwara, Ogun State, Nigeria was calculated from dissolved oxygen and biochemical oxygen demand data collected over period of 3 months covering the two prevailing climatic seasons in the country. Both the Akaike and Bayesian information criteria were used in the selection and analysis of ten models to identify the most suitable reaeration coefficient (k2) model for Atuwara River. Models that passed the confidence limit were subjected to model evaluation using measures of agreement between observed and predicted data such as percent bias, Nash–Sutcliffe efficiency, and root mean square observation standard deviation ratio. The used approach yield better results than empirical models developed for local conditions while it is also useful in conserving scarce resources

An Approach to Reaeration Coefficient Modeling in Local Surface Water Quality Monitoring

Reaeration coefficient (k2) for River Atuwara, Ogun State, Nigeria was calculated from dissolved oxygen and biochemical oxygen demand data collected over period of 3 months covering the two prevailing climatic seasons in the country. Both the Akaike and Bayesian information criteria were used in the selection and analysis of ten models to identify the most suitable reaeration coefficient (k2) model for Atuwara River. Models that passed the confidence limit were subjected to model evaluation using measures of agreement between observed and predicted data such as percent bias, Nash–Sutcliffe efficiency, and root mean square observation standard deviation ratio. The used approach yield better results than empirical models developed for local conditions while it is also useful in conserving scarce resources

Occurrence of cucumber mosaic virus within tomato seed lots

Tomato (Solanum lycopersicum L.) is an important crop whose fruit is widely consumed globally. However, its yield is affected by cucumber mosaic virus (CMV) and can cause total crop failure. The virus is mainly transmitted by aphid vectors, but data on its spread via seeds are limited. Thus, the occurrence of CMV within tomato seed lots obtained from different sources was investigated. Seven tomato accessions and varieties were collected from five sources and evaluated for seed transmission of CMV. One hundred seeds each were sown in a plastic tray, and germination rates were recorded. The incidence and severity of virus symptoms were observed at 3, 6, and 9 weeks after sowing (WAS), while leaves were tested for CMV using antigen-coated plate enzyme-linked immunosorbent assay (ACP-ELISA). The germination percentage ranged from 60% in accession 'V4' to 92% in 'UC-82B'. Infection rates were 100%, 71.74%, 70.31%, 45.90%, and 8.33% in 'Roma-VF', 'UC-82B', 'NG/AA/SQ/09/053', 'V2', and 'V4', respectively. 'Kerewa' and 'Alausa-Long' exhibited zero infection rates and tested negative for CMV using ACP-ELISA. Eighty percent of test plants became symptomatic at 6 and 9 WAS, although accession 'NG/AA/SQ/09/053' tested positive for CMV despite showing no symptoms. Tomato seeds from commercial stores, research institutes, and farmers' fields tested positive for CMV, while seeds from the market were negative at 9 WAS. The results from this study confirm the transmissibility of CMV through seeds in tomatoes, although the rate of seed transmission is cultivar dependent

Prevalence of Parasites Infection of Resident Fish Species in a Tropical Reservoir

This study detected, identified and determined the incidence of parasites present in and on Clarias gariepinus, Sarotherodon galilaeus, Oreochromis niloticus and Tilapia zillii in Ero reservoir, a tropical reservoir situated in Ikun-Ekiti, Nigeria. Fish species were randomly obtained from fishermen at the reservoir during the rainy season. Out of 55 fish samples examined, 17 (30.9%) fishes were invaded. 11(20.0%) were infected by Protozoans (Ciliates and Flagellates) and 6(10.9%) were infected by Metazoans (Myxosporean and Nematode). Parasitological examination of the 55 fish samples showed 41.2% incidence for C. gariepinus, 17.6% for S. galilaeus, 29.4% for O. niloticus, and 11.8% for T. zillii. A total of 59 parasites were recovered comprising 36 protozoans and 23 metazoans. Parasite infections were found on the skin, fins, gills, intestine, liver and kidney. Total number and percentage of parasites recovered were tabulated in relation to their host prevalence and location of specificity

Effect of industrial effluents on water quality of River Atuwara in Ota, Nigeria. In Adeyemo

The impacts of industrial wastewaters discharged into River Atuwara were estimated from the physical and chemical characteristics of the samples using standard methods. The quality of the effluent before and after dilution in the receiving water and impact on the use of the water for irrigation was studied using QUAL2K software for hydrodynamic analysis of streams and rivers. From the inputted data into the QUAL2K software, the average (and range) of the stream depth, velocity of flow and flow rates of the reaches studied were respectively 0.915m (0.49-2.59 m), 0.336 m/s (0.21-0.4 m/s) and 14.66 m3/s (3.48-59.36 m3/s). Majority of the water quality parameters exceeded the maximum concentration permissible: BOD: ≥ 31 mg/L; COD: ≥ 181 mg/L; Alkalinity: ≥ 138.4 mg/L; TSS: ≥ 826 mg/L; TDS: ≥ 501 mg/L; Chloride: ≥ 9.95 mg/L; Nitrates ≥ 11.3 mg/L and Phosphates ≥ 2.92 mg/L. High concentration of heavy metals such as Cadmium (≥ 0.017 ppm), Pb (≥ 0.29 ppm), Zn (≥ 0.001 ppm), Fe (≥ 7.04 ppm) and Mn (≥ 0.127 ppm) portends environmental hazard to riparian users. Although the water in the river could be used for irrigation to encourage urban agriculture as practiced along the river, the gross pollution of the river underscores the need for pre-treatment of the industrial effluents before discharge into the receiving water body

A maximum entropy classification scheme for phishing detection using parsimonious features

Over the years, electronic mail (e-mail) has been the target of several malicious attacks. Phishing is one of the most recognizable forms of manipulation aimed at e-mail users and usually, employs social engineering to trick innocent users into supplying sensitive information into an imposter website. Attacks from phishing emails can result in the exposure of confidential information, financial loss, data misuse, and others. This paper presents the implementation of a maximum entropy (ME) classification method for an efficient approach to the identification of phishing emails. Our result showed that maximum entropy with parsimonious feature space gives a better classification precision than both the Naïve Bayes and support vector machine (SVM)

FORECASTING DISTRIBUTED DENIAL OF SERVICE ATTACK USING HIDDEN MARKOV MODEL

Distributed denial of service (DDoS) attack bombards the network with loads of packets and requests that consumes the system resources in terms of time, memory, and processors. This paper presents a proposed method for forecasting DDoS in networks. The proposed model employs hidden Markov model (HMM) to forecast DDoS attacks. The method uses the inherent characteristic features of DDoS to determine the observable states of the system.To avoid intractable computations, Kullback-Leibler divergence algorithm was employed to reduce the number of observable states to three. The proposed model is formulated and trained through experiments using DARPA 2000 data set and the preliminary resultsshows that the characteristic features of the DDoS and the entropy concept can be used to formulate an HMM to predict DDoS