Land use and land cover changes implications on biodiversity in the Owabi catchment of Atwima Nwabiagya North District, Ghana.

This paper examined land use and land cover (LULC) change and implications to biodiversity in the Owabi catchment of Atwima Nwabiagya North District in Ghana from 1991 to 2021 using remote sensing, and geographic information systems (GIS), with participatory methods such as interviews and questionnaires with a sample size of 200 participants. The use of supervised classification with maximum likelihood algorithm in QGIS was employed to generate LULC maps of 1991, 2001, 2011, and 2021. Molusce Plugin in QGIS was applied to predict probabilities of LULC changes in 10 years (2021-2031). The results showed that high-density forest has disappeared from 1991 to 2021 while built-up has increased and remained the most dominant LULC from 2011 to 2021. There is a continual decline in the number of plant and animal species in and around the Owabi catchment. This can be attributed to the decline of high-density forests and increased built-up in the study area through human actions. The study identified the influence of human activities as the key forces of LULC change to biodiversity loss. This problem stemmed from the taste for housing and trading activities in the Kumasi Metropolitan Area which has resulted in an increasing demand for settlement because of its closeness to Kumasi and its environs. The study recommends that stringent preventive measures should be developed and enforced by various stakeholders including the Forestry Commission, Ghana Water Company Limited, Environmental Protection Agency, as well as the District/Municipal Assemblies to safeguard the forest from human activities. This recommendation will help these agencies to keep abreast with changes in LULC in the various communities and factors such as changes during the planning of the communities.

Cyanide contamination assessment via target survey and physicochemical and bacteriological characterization: a case study of Akrofrom-Techiman cassava processing area in Ghana.

Improper discharge of cassava mill effluent (CME) has attracted much attention in major cassava-producing areas due to cyanide contamination. This study conducted a target survey on inhabitants and processors of the Akrofrom-Techiman cassava processing area in Ghana that aimed to assess their knowledge and perception of cyanide contamination from the CME discharge. The study further examined the effect of CME on the soil and groundwater at the processing area using physicochemical and bacteriological characterizations. Results revealed that inhabitants and processors exhibited high illiteracy on the impact of CME on cyanide contamination in the processing area. The study also indicated a wide characteristics of the soil at the processing site: pH (4.89-8.77), electrical conductivity (EC) (1063.00-1939.00 µS/cm), total dissolved solids (TDS) (523.90-963.50 mg/L), soil moisture (11.90-31.70%), free cyanide (0.02-0.33 mg/kg), and total cyanide (0.40-2.70 mg/kg). Results also showed that the physicochemical values of the CME were all above the Ghana Environmental Protection Agency (EPA) permissible limits and were unsafe for discharging into the environment. The range of physicochemical and bacteriological parameters of the two boreholes revealed the following: pH (7.85-8.74), TDS (165.77-192.37 mg/L), EC (320.87-396.20 µS/cm), free cyanide (0.13-0.16 mg/L), total cyanide (1.29-2.15 mg/L), and bacteriological parameter (220-622 cfu/mL). The two hand-dug wells also recorded pH (8.54-9.56), TDS (140.77-156.10 mg/L), EC (288.53-340.67), biological oxygen demand (BOD) (21.51-1.61 mg/L), chemical oxygen demand (COD) (13.5-16.5 mg/L), free cyanide (0.10-0.11 mg/L), bacteriological parameter (241-302 cfu/mL), and total cyanide (0.79-0.86 mg/L). The study concluded that the discharge of CME at the processing site contributes significantly to cyanide contamination of the soil and groundwater at the processing area.

Spatial variation in lymphatic filariasis risk factors of hotspot zones in Ghana.

BACKGROUND: Lymphatic Filariasis (LF), a parasitic nematode infection, poses a huge economic burden to affected countries. LF endemicity is localized and its prevalence is spatially heterogeneous. In Ghana, there exists differences in LF prevalence and multiplicity of symptoms in the country's northern and southern parts. Species distribution models (SDMs) have been utilized to explore the suite of risk factors that influence the transmission of LF in these geographically distinct regions. METHODS: Presence-absence records of microfilaria (mf) cases were stratified into northern and southern zones and used to run SDMs, while climate, socioeconomic, and land cover variables provided explanatory information. Generalized Linear Model (GLM), Generalized Boosted Model (GBM), Artificial Neural Network (ANN), Surface Range Envelope (SRE), Multivariate Adaptive Regression Splines (MARS), and Random Forests (RF) algorithms were run for both study zones and also for the entire country for comparison. RESULTS: Best model quality was obtained with RF and GBM algorithms with the highest Area under the Curve (AUC) of 0.98 and 0.95, respectively. The models predicted high suitable environments for LF transmission in the short grass savanna (northern) and coastal (southern) areas of Ghana. Mainly, land cover and socioeconomic variables such as proximity to inland water bodies and population density uniquely influenced LF transmission in the south. At the same time, poor housing was a distinctive risk factor in the north. Precipitation, temperature, slope, and poverty were common risk factors but with subtle variations in response values, which were confirmed by the countrywide model. CONCLUSIONS: This study has demonstrated that different variable combinations influence the occurrence of lymphatic filariasis in northern and southern Ghana. Thus, an understanding of the geographic distinctness in risk factors is required to inform on the development of area-specific transmission control systems towards LF elimination in Ghana and internationally.

Precipitable Water Vapour Retrieval from GPS Precise Point Positioning and NCEP CFSv2 Dataset during Typhoon Events.

Radiosonde is extensively used for understanding meteorological parameters in the vertical direction. Four typhoon events, including three landfalls (MERANTI, NEPARTAK, and MEGI) and one non-landfall (MALAKAS), were chosen in analysing the precipitable water vapour (PWV) characteristics in this study. The spatial distribution of the three radiosonde stations in Zhejiang province does not meet the requirement in analysing changes in PWV during typhoon event. Global position system (GPS) observations are an alternative method for deriving the PWV. This enables improvements in the temporal⁻spatial resolution of PWV computed by the radiosonde measurements. The National Centers for Environmental Prediction (NCEP) re-analysed data were employed for interpolating temperature and atmosphere pressure at the GPS antennas height. The PWV computed from GPS observations and NCEP re-analysed data were then compared with the true PWV. The maximum difference of radiosonde and GPS PWV was not more than 30 mm at Taiz station. The Root-Mean-Square (RMS) of PWV differences between radiosonde and GPS was not more than 5 mm in January, February, March, November, and December. It was slightly greater than 5 mm in April. High RMS in May, June, July, August, September, and October implies that differences in GPS and radiosonde PWVs are evident in these months. Correlation coefficients of GPS and radiosonde PWVs were more than 0.9, indicating that the changes in GPS and radiosonde PWVs are similar. Radiosonde calculated PWVs were used for GPS PWV calibration for understanding the PWV changes during the period of a typhoon event. The results from three landfall typhoons show that the average PWV over Zhejiang province is increasing and approaching China mainland. In contrast, MALAKAS did not make landfall and shows a decreasing PWV trend, although it was heading to China mainland. Generally, the PWV change can be used to predict whether the typhoon will make landfall in these cases. PWV spatial distribution of MERANTI shows that PWV peaks change along the typhoon epicenter over Zhejiang province.

Modelling population growth on public water and sanitation facilities using GIS and statistics: a case study of Aboabo, Ghana.

BACKGROUND: Effect of population increase on public water and sanitation facilities in densely populated area, Aboabo, Kumasi, Ghana. MATERIALS AND METHODS: Town sheet maps, layout and population census data of Aboabo. GPS for observing spatial locations existing water and sanitation facilities and field verification exercise in the study. GIS for building geodatabase, digitization and Cartographic Visualization. Questionnaires were used to collect non-spatial information on the sanitation facilities and all public facilities. RESULTS: GIS and a Statistical Approach have been respectively used to develop cartographic and mathematical models to analyse, predict and visualize the effect of population increase on public water and sewage facilities in densely populated area. The developed mathematical models correlates with the population at each instance to the required number of water accessible points or standing pipes as well as the number of required public toilet (sewage) facilities. The cartographic and mathematical models provides an efficient and effective means of mitigating diseases associated with water and sanitation; and informs planners and assembly members of the effects of increasing population on public facilities for proper future planning and geospatial decision making; and to ensure proper infrastructural management at the community levels. CONCLUSIONS: Effective decision support systems for analysing, predicting and visualizing public water and sewage facilities in densely populated area. Draws the awareness of the government, concerned groups and non-Governmental Organizations (NGO's) to the extreme detrimental effect that the increase in population has, especially on public water and sewage facilities and how it can be managed at the community level.