Open Access Case study

Projected changes in temperature due to global climate change may have serious impacts on hydrologic processes, water resources availability, irrigation water demand, and thereby affecting the agricultural production and productivity. Therefore, understanding the impacts of climate change on crop production and water resources is of utmost importance for developing possible adaptation strategies. The White Oak Bayou, one of the several waterways that give Houston, Texas, United States its popular nickname "The Bayou City" was selected in this case study.

SWAT model is process based and can simulate the hydrological cycle, crop yield, soil erosion and nutrient transport. It is operated with an interface in ArcView GIS using raster or vector datasets including the digital elevation model (DEM), soil properties, vegetation, LULC, and meteorological observations observed which were derived from the Consortium for Geospatial Information, National Cooperative Soil Survey, National Land Cover Database 2006, NCEP Climate Forecast System Reanalysis and USGS website in 2005-2008. The climate change scenario was based on the projected increase in temperature by the IPCC by 2100.

This case study showed a decrease in streamflow from observed actual scenario (2005-2008) to projected increase of 4°C temperature in future climate change scenario by 2100. The evapotranspiration increased but there was a decrease in surface runoff and percolation.

Moreover, there were greater average plant biomass and more average plant yields. Hence, the nitrogen and phosphorus uptake and removed in yield increased. Thus, the total nitrogen decreased while the total phosphorus is zero indicating loss of the Phosphorus content in the soil. Yet, this case study needs to be validated and calibrated with actual data to support the projected outcome.

Open Access Original Research Article

Detecting Land use and land cover change and vegetation condition has become a central component in current strategies for managing and monitoring of environmental changes caused by anthropogenic activities. To come up with such decisions, geoinformatics technology is providing new tools to conduct vegetation and land use land cover change detection analysis for managing and wise utilisation of natural resources as well as to provide information for policymakers in a given study area. This study examines the use of geoinformatics technology to analyse land use land cover (LULC) change and vegetation dynamics using multi-temporal satellite images for the maryamdehan kebele in the years 1984, 2005 and 2015. Both primary and secondary data were used from different sources. Satellite images of the year 1984, 2005 and 2015 were downloaded from the govis.usgs.gov website and ground control points (GCP) data were collected by handheld GPS for supervised image classification in Erdas imagine and ArcGIS environment. The findings show that six main land use land cover classes were detected and vegetation values were also computed in each period.  As a result, the total area of the kebele was 3646.49 hectare, from which in 1984 forest area (40.691%), grassland (26.15%) and farmland (10.81%) were dominant classes and in 2005 settlement (52.41%), forest area (25.04%) & farmland (11.71%) and in 2015, 35.14% was covered by forest land, 30.04% by Settlement, and 14.74% by farmland. Water resource decreases from 9.3% to 0.64% in 2015 and the bare land also changes from 3.18% to 0.903% because of urban expansion and agricultural activities in the kebele. In addition, the vegetation condition looks like a sinusoidal trend from the year 1984 up to 2015 because of climate change and human interventions in the kebele. To conclude that detecting LULC change and analysis of vegetation dynamics plays a great role in land use management and wise utilisation of natural resources by applying Geoinformatics tools in the kebele and it provides information for the policymakers to prepared future plan and for sustainable development.

Open Access Original Research Article

Habitat interior function effect from an area of specific edge depth in a forest patch. Every habitat has obviously an interior area, small or large size. Structurally it depends on the shape and edge depth ratio of the specific patch. The amount of habitat interior strengthens movement, connectivity, protection and availability of species, especially for large size animal. Habitat interior plays a vital role in sustaining their biological behaviour and activities. Forest habitat is developed by plantation after 1980 through different social forestry programs in Panchet Forest division. For this reason, forest cover is increased and it is spatially fragmented in nature. Fragmented habitat has a negative impact on forest interior. So demarcation of habitat interior or core is very urgent for biodiversity conservation and managing habitat structure. Thus the present study tries to investigate and identify the amount of habitat core using geospatial techniques and field verification. Major objectives are to suggest practical methods to increases the amount of interior as well as to minimize the gap between isolated patches to enhance the functional capability of habitat core in Panchet Forest Division under Bankura District.     

Open Access Original Research Article

Chemical Characterization of Aeolian Dust Deposition in Southern and Western Iran

Mansour A. Foroushani, Christian Opp, Michael Groll

Asian Journal of Geographical Research, Page 1-22
DOI: 10.9734/ajgr/2019/v2i230081

In the last decade, the southwestern and western provinces of Iran have been heavily affected by aeolian dust deposition. As a result, the elemental composition of soil surfaces is influenced by dust transport as well as precipitation, wind speed and direction. The relationship between daily recorded dust events and the elemental composition of the dust is studied in this paper. Strong correlations were detected between dust deposition rate from most deposition sites (G01-G10, except for G05, G06) and the dust event frequency. Correlations of different strengths have been revealed between the dust event frequencies (DEF), and the elemental classification matrix based on airborne Metal Regulations.

As expected, high correlation values indicate high concentration contributions of elemental values to the aerosol, such as Na, Mn, As, Pb, from large-scale depositions in the south including Cr and V in the west. These findings also suggest that the major contributors of V, Cr, Co, Ni, Cu, Zn, As, Se, Cd, Ba, and Pb in the elemental concentrations may depend on the meteorological situation and correlation magnitude are associated with elements emanating from local anthropogenic activities.

Open Access Original Research Article

Aims: To evaluate the perception and control measures towards environmental risk in Obio Akpor Local government area (LGA) of Rivers State.

Place and Duration of Study: The study was carried out at the Rivers State Waste Management Agency in Obio-Akpor LGA of Rivers State between January 2019 - March 2019.

Methodology: The survey method was employed and the simple random techniques was adopted whilst 265 copies of the questionnaire were used to elicit information from the number of employee.

Results: The findings revealed that that majority of the respondents under survey had a good knowledge of occupational health risk and are fully aware of the environmental health risk associated with waste dumping, As a Possible control measures it was revealed that the majority had the opinion that the provision of safety and health structure is the best preventive measures so as to eliminate health hazard among solid waste workers.

Conclusion: RIWAMA should establish sanitary facilities where workers can wash after work to ensure effective personal hygiene is maintained and also provide them with Personal protective equipment.