Open Access Original Research Article

Dimensionless Geomorphometry and Discharge in the Ikpa River Basin, Nigeria

Ikpong Sunday Umo, M. C. Ike, Ifeanyi G. Ukwe

Asian Journal of Geographical Research, Page 1-13
DOI: 10.9734/ajgr/2018/v1i124657

This study evaluates the relationships between dimensionless basin geomorphometry and discharge in the Ikpa River. The basin was stratified into seven sub-units using [1] scheme. Geospatial tools were used in generating data for the digital elevation model, while dimensionless geomorphometric parameters were generated from topographic maps (sheet 322 NE; sheet 322 SE; sheet 323 SW; and sheet 331 NW) of the basin area drawn on a scale of 1.50,000. The sampled sub-basins were gauged and discharge measured by a surface float. Graphical analysis of discharge revealed wide variations between months and in seasons across sub-basins with the rainy season attracting highest volume of discharge and the corresponding fluvial processes. The regression analysis yields a coefficient of multiple determination (R) of 0.937, signifying a very high effect expressed by 87.8 of the proportion of variance in dimensionless geomorphometric parameters on discharge in Ikpa River Basin. Also, the computed F value yields 1.439, while the Table value tested at (0.05)5/2 confident level offers 19.30. The result led to the conclusion that variations in relief ratio, average bifurcation ratio, circularity ratio, elongation ratio and form factor have a significant effect on discharge in Ikpa River Basin. This paper recommends for prompt installations of state of the art river gauging and monitoring facilities to provide the needed information to the government, researchers, and individuals for the sustainable land and watershed development options (dam and irrigation) in the coastal plain of Ikpa River basin.


Open Access Original Research Article

The Use of GIS and Google Earth Images for Mapping of Taraba State University Campus

Hajara A. Garba, Vincent N. Ojeh, Elizabeth Elijah, Bishop E. Ayeni

Asian Journal of Geographical Research, Page 1-16
DOI: 10.9734/ajgr/2018/v1i124659

A Campus guide map for Taraba State University Jalingo was produced. The data source for the study includes satellite images of the study area and field survey using a GPS device to collect coordinates of major ground control points. This research incorporated the use of geospatial techniques and functionalities such as georeferencing, digitizing and geo-database creation to generate a campus guide map. The findings of this study reviewed that most of the structures and roads are not adequately labeled or named for easy navigation. The study also showed that development is confined mostly to the North Western and southwestern part of the campus.           We recommend structural planning and spatial development within the campus land cover in the future.


Open Access Original Research Article

The study examined the effects of weather conditions on satellite television cable network reception quality. The ex-post facto research design was used. The primary data were generated through personal observation/monitoring of Television sets that were connected to the three prominent networks (MYTV, DSTV, and HITV) in Warri. Rainfall stations were established in each of the sample areas and were used to collect rainfall amount between the months of May and August, being rainy season in the location. Additionally, wind speed, humidity, temperature and rainfall data were collected from the archives of the Nigerian Meteorological Agencies office in Warri for 20 years. A total of fifteen (15) TV sets and fifteen modems of MYTV, DSTV and HITV satellite-cable network were utilized for this study. Results showed that there is variation in the trends of climate parameters in Warri. There is variability in the rainfall, relative humidity as well as the wind speed trends in Warri from 1991-2011. The variations in these climate attributes have effects on the durability and functionalities of satellite cable network in the area. The reception quality for MYTV reduced from 69.8% on days without rainfall to 15.4% on rainy days during the study period, while DSTV signal quality reception was also reduced by rainfall and weather effect to 20.4% on rainy days from 85.6% mean on days without rainfall. HITV signal quality reception of 33.4% on days without rainfall was reduced to 7.2% by the effect of rainfall. Rainfall impairs signal quality. Further, the result revealed that there is a significant variation in cable network reception qualities of MYTV, DSTV and HITV. This is evident from the calculated F-value of 1028.136 which was greater than the critical table-value of 19.49 at 0.05 significant level. The r value shows a correlation of 0.989 between rainfall and MYTV reception quality.  However, the R² value of 0.977 shows that 97.7% variation in the quality of signal reception from MYTV is explained by other weather parameters. The r value shows a correlation of 0.994 between wind speed and DSTV reception quality.  However, the R² value of 0.988 shows that the quality of the signal reception from DSTV is explained by 98.8% dependency on weather parameters. Similarly, the r value shows a correlation of 0.970 rainfall and HITV reception quality.  However, the R² value of 0.942 shows that the quality of the signal reception from MYTV is explained by 94.2% dependency on weather parameters. The policy implications of the findings of this study are that adequate and well-implemented weather  monitoring with remote sensing/satellite-based platforms should be captured in the national laws of Nigeria.


Open Access Original Research Article

The study investigates the development of chute cutoff in the lower course of River Mayo-Inne, Yola South LGA, Adamawa State, Nigeria. The study employed the integrated approach of Remote Sensing, Geographic Information System, Field Survey, Laboratory Analysis, Oral Interview and Personal Observation in examining the influences of some relevant channel planform parameters (Sinuosity Index, Cutoff Ratio and Braiding Index), land use/land cover, channel bank materials, water stage and channel depth on the development of the chute cutoff over a period of Twenty five years (1990-2015). Results revealed the drastic reduction of Sinuosity Index from 1.57 in 1990 to 1.46 in 2015, changing the channel from meandering to the straight pattern. The analysis of changes in cut-off ratio unveiled the development of chute cutoff in bend II, which ultimately separated the river flow, forming a weak braided channel with a braiding index of 0.43. These developments were attributed to incessant flooding in the study area and floodplain characteristics such as floodplain elevation, bank strength and changes in vegetal cover.

Open Access Original Research Article

Assessing the Impacts of Climate Variability on Livelihood Assets in Marigat and Mogotio Sub-County, Baringo County, Kenya

Ezenwa, Lilian I., Ibe, Geraldine O., Ochor N., Ogbonna Onyekachi A.

Asian Journal of Geographical Research, Page 1-14
DOI: 10.9734/ajgr/2018/v1i124670

This study assessed the various effects of variability in climatic conditions to the means of livelihood and assessed the impacts of climatic conditions like temperature and rainfall on the livelihood assets of the indigenes of Baringo County, which include: livestock, health, agricultural and tree crops, water bodies. A multi-stage sampling technique was applied, using both quantitative and qualitative methods of data collection. Primary data was collected using a well-structured questionnaire while secondary data was obtained from the Meteorological Department Nairobi, Kenya. Data obtained were analysed using frequency distribution, trend analysis, percentage and means, as well as multiple regression analysis. A total of 338 respondents were sampled. Variability in rainfall and temperature significantly affected the livelihood assets of the rural populace. It was observed that 78.7% of the respondents in are informed of climate change, mostly through the media (34.62%). Climate variability to a high extent results in drought (X=3.78), crop pests and diseases (X=3.65), livestock pests and diseases (X=3.70) and cases of human diseases (X=4.01). 94.38% of the rural populace in Baringo County experience food insecurity due to climate variability. Climate variability in temperature and rainfall affected general economic activities of the counties at every level of statistical significance even as high variability in climate conditions affected the rural population in Kenya majorly in the areas of drought 60%, the quantity of meal 31.7% and income 29.6 %. This study, therefore, concluded that climate variables will affect the ecosystems and most likely will alter the economic and physical factors including income, general health and well-being of the rural populace in Baringo County, Kenya.