Spatial Distribution and Assessment of Selected Physiochemical Parameters of Soils Using GIS Techniques in Bunkure Kano State, Nigeria

Ahmed, Md. Kawser; Jeb, D. N.; Usman, A.; Adamu, G. K.; Mohammed, Murtala Uba

doi:10.9734/ijpss/2015/14789

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Analyzing the spatial distribution of a phenomenon will allow to clearly viewing the spread and variation which will help in the interpretation of the analysis. Thus, helps in identifying the concentration ofthe parameters (Ahmed et al 2015). Figure.1).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Salisu¹,

Yusuf²,

Ahmed³

et al. 2016

Bayero J. Pure App. Sci.

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Uncontrolled exploitation and degradation in the environment over the past few decades as the result of urbanization and poverty has caused a serious damage to lives and properties. The study analysed the spatial distribution of heavy metal (Fe, Cu and Zn) in Bagega, Zamfara state. Three mapping units were identified and samples were collected from the top soil (0-15cm) horizon using stratified random sampling techniques. These include the Mining Processing Environment (MPE), Residential exterior (RE) and Surrounding Farmlands (SF). In each mapping units, twelve (12) samples were collected randomly. Coordinates of all samples points were recorded using GPS. The soil sample were analyse for heavy metals using Atomic Absorption Spectrophotometer (AAS) and the result were recorded in Microsoft excel and later transformed into GIS environment in the Arc GIS 10.1 version. Krigging model was used for mapping the spatial distribution of the heavy metals in the study area. The result shows that there are more concentrations of heavy metals (Fe and Cu) in the Residential exterior (RE) and streams sites. The level of heavy metal in the soils of the area were below the acceptable toxic level of and this can be attributed to the number of years quarry activities in the study area have been in operation. The study concluded that Fe and Zn are more concentrated to the mining and river sites areas, while Cu is highly concentrated at the farmlands areas. The study recommends for continuous monitoring and mining should be avoided especially closer to the residential areas.

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Section: Introductionmentioning

confidence: 99%

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Salisu¹,

Yusuf²,

Ahmed³

et al. 2016

Bayero J. Pure App. Sci.

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“…Bunkure LGA is located between Latitude 110 34' 02''N to Latitude 110 46' 05''N of the Equator and between Longitude 80 26' 36''E to Longitude 80 46' 43''E of the Prime Meridian. It comprises of fifteen wards (Ahmed et al, 2015), with an aerial extends 9911.22 Km2 and is bordered with Dawakin kudu and Kura LGAs by the North, Wudil and Garko LGA by the East while Kibiya at the South Western part (Ahmed et al, 2015). The area experiences four distinct seasons, long wet (damina) and dry (rani) seasons and short autumn (kaka) and spring (Bazara) seasons.…”

Section: Methodology Study Areamentioning

confidence: 99%

Determinants of adoption of short season soybean (Glycine max) (L.) varieties in the Sudan Savannas of Northern Nigeria

Joseph,

Sia,

Alpha

et al. 2023

J. Agric. Ext. Rural Dev

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This study assessed the level of adoption of short season early-maturing soybean varieties in the Sudan savanna agro-ecological zones of the Nigeria savannas. The study identified determinants of adoption of short-season early maturing soybean varieties. It was conducted on a sample of 600 farming households from 20 communities in Bunkure and Shanono Local Government Areas in Kano State. Descriptive (frequencies and graphs) and inferential (Regression) statistics were used for analysis. Results revealed high level of adoption in 2015 (73.5%) compared with adoption level of less than 20% in 2008. The determinants of adoption of improved soybean varieties using both Probit and Tobit regression analysis revealed household size, keeping of livestock, access to market information at p<0.01, participation in Sudan Savanna taskforce project at p<0.05, extension contact, distance to soybean seed, yield, shattering, disease resistance, high cash earned as a result of sale of crop and earliness at (p<0.10) were revealed as factors influencing probability and extent of adoption. It was therefore recommended that farmers should be encouraged to participate fully in projects' activities implemented by any development partner to allow them to take ownership and for easy uptake of technology packages that benefits them.

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“…The estimated maps of As, Cr, Cd, Hg and Pb were produced from the results obtained from the concentration of these metals after AAS analysis and the results were computed into Microsoft Excel application (Ver. 2007) where the data were converted to degrees and decimals with their respective coordinates transferred into the GIS environment in the ArcGIS 10.1 version (Ahmed et al, 2015). This method assumes that the variable being mapped decreases in influence with distance from its sampled location (Gisgeography, 2018).…”

Section: Spatial Distribution Mapsmentioning

confidence: 99%

GIS Mapping, Biomonitoring and Distribution of Heavy Metal Concentrations Using Neem (<i>Azadirachta indica</i>) Bark in Makurdi Town, Benue State, Nigeria

Ogli,

Ahmed,

Itodo

et al. 2023

GEP

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The present work determined the concentration and spatial distribution of heavy metals (As, Hg, Cr, Cd and Pb) in soil samples from Makurdi and its environs using geographic information system (GIS). The specific objective is to produce the spatial distribution maps showing the spatial distribution of toxic heavy metals in the study area. Inverse Distance Weighting (IDW), a GIS technique was used to produce dotted maps showing the spatial distribution of heavy metals in neem bark for better visualization of contamination zones and non-contamination zones. The map reveals few hotspot areas showing areas of high concentrations of the heavy metals investigated which were identified in red colours, the following concentration ranges were obtained; As (4.71 -6.43 mg/kg), Cd (13.9 -16.84 mg/kg), Cr (46.3 -60.84 mg/kg), Hg (3.70 -5.05 mg/kg) and Pb (24.02 -31.34 mg/kg). These hotspot areas were found close to business outlets, fuel filling and service stations, farm sites where the application of fertilizers and pesticides were persistent coupled with heavy traffic of vehicles and other machinery which was associated with As, Hg, Cd, Pb and Cr been released into the environment thus, suggesting anthropogenic activities controlling the concentration of these heavy metals in the study areas. The cumulative effect of these heavy metals into the barks of neem could pose as danger, because this plant is used as herbs in folk medicine.

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Spatial Distribution and Assessment of Selected Physiochemical Parameters of Soils Using GIS Techniques in Bunkure Kano State, Nigeria

Cited by 5 publications

References 16 publications

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Determinants of adoption of short season soybean (Glycine max) (L.) varieties in the Sudan Savannas of Northern Nigeria

GIS Mapping, Biomonitoring and Distribution of Heavy Metal Concentrations Using Neem (<i>Azadirachta indica</i>) Bark in Makurdi Town, Benue State, Nigeria

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Spatial Distribution and Assessment of Selected Physiochemical Parameters of Soils Using GIS Techniques in Bunkure Kano State, Nigeria

Cited by 5 publications

References 16 publications

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Determinants of adoption of short season soybean (Glycine max) (L.) varieties in the Sudan Savannas of Northern Nigeria

GIS Mapping, Biomonitoring and Distribution of Heavy Metal Concentrations Using Neem (&lt;i&gt;Azadirachta indica&lt;/i&gt;) Bark in Makurdi Town, Benue State, Nigeria

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GIS Mapping, Biomonitoring and Distribution of Heavy Metal Concentrations Using Neem (<i>Azadirachta indica</i>) Bark in Makurdi Town, Benue State, Nigeria