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Contact Name
Fahmi Arif Kurnianto
Contact Email
fahmiarif.fkip@unej.ac.id
Phone
+6285745115207
Journal Mail Official
geografi.fkip@unej.ac.id
Editorial Address
Department of Geography Education , University of Jember, FKIP Building Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia.
Location
Kab. jember,
Jawa timur
INDONESIA
Geosfera Indonesia
Published by Universitas Jember
ISSN : 25989723     EISSN : 26148528     DOI : https://doi.org/10.19184/geosi
Geosfera Indonesia is a journal publishes original research, review, and short communication (written by researchers, academicians, professional, and practitioners from all over the world) which utilizes geographic and environment approaches (human, physical landscape, nature-society and GIS) to resolve human-environment interaction problems that have a spatial dimension.
Articles 4 Documents
Search results for , issue "Vol. 10 No. 3 (2025): GEOSFERA INDONESIA" : 4 Documents clear
Carcinogenic and Non-Carcinogenic Health Risk Assessment of Heavy Metals in Noyyal River Basin, Tamil Nadu, India Madhumitha, R.; Kumaraswamy, K.
Geosfera Indonesia Vol. 10 No. 3 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i3.30171

Abstract

The extensive agriculture, industrial, and resultant urbanization have led to contamination of groundwater resources of the Noyyal river basin. This study aims to evaluate the spatial variability of human exposure risk to heavy metals, particularly in the context of geographic applications for health. The groundwater samples were collected from the 48 locations of the basin. Its heavy metal concentrations of chromium (Cr), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), zinc (Zn), lead (Pb), and cadmium (Cd) were analyzed with Inductively Coupled Plasma Mass Spectrometer (ICP-MS). Human exposure to heavy metals was evaluated using the United States Environmental Protection Agency (US EPA) standard health risk assessment guidelines. Here, the health risk assessment is carried out for adults and children via drinking and dermal exposures of the contaminated groundwater. The non-carcinogenic risk assessment results show that the HQing for the individual heavy metals of Fe, Pb, and Ni exceeds the safe level (>1) while HQdermis under the safe level for all the heavy metals. The total hazard quotient (HQing + HQderm) is higher for children than adults. The carcinogenic risk assessment reveals that cadmium and nickel pose a high cancer risk over adults and children through the oral pathway, whereas chromium and cadmium have a carcinogenic effect on adults through the dermal pathway. The result obtained indicates that children are identified as more prone to health risks through oral ingestion of contaminated groundwater, and special attention is needed to overcome the health issues.
Forecasting Rainfall and Temperature Trends in Bangladesh Based on Historical Data Analysis Hore, Shoma; Kamrul, Md Kamruzzaman; Alim, Mosharof Al; Hore, Ripon
Geosfera Indonesia Vol. 10 No. 3 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i3.53690

Abstract

This study examined temperature and precipitation trends and spatial variations over a 40-year period at 34 meteorological stations in Bangladesh. Climate variability was assessed using a variety of statistical techniques, such as geographic information systems (GIS), inverse distance weighting (IDW) interpolation, linear regression, and coefficient of variation. The temperature and precipitation data were simulated using an autoregressive integrated moving average (ARIMA) model. With an average temperature increase of 0.20 °C every ten years, the results showed a significant warming trend. Northern, central, and southern regions saw the largest increases in minimum temperatures (from 0.80 to 2.4 °C), while southern and southeastern regions saw the largest increases in maximum temperatures (1.20 to 2.48 °C). Although pre-monsoon and post-monsoon rainfall showed declines of 0.75 mm and 0.55 mm per year, respectively, with significant variability in these seasons (44.84% and 85.25%, respectively), annual precipitation showed an upward trend (+7.13 mm per year). Projections for 2011–2020 suggest a temperature rise of 0.018 °C annually, potentially resulting in a 1.0 °C increase compared to 1971. Minimum temperatures are expected to rise more sharply (0.20 °C) than maximum temperatures (0.16 °C). Annual precipitation is predicted to decrease by 153 mm, with drying conditions anticipated in northwestern, western, and southwestern regions during pre- and post-monsoon periods.
Spatial Determinants of Recurrent Landslides Revealed Through Multi-Source GIS–Remote Sensing Integration in Kindo Didaye, Wolaita Zone, Ethiopia Dabara, Deneke Dana; Debisa, Paulos Lukas; Tora, Simeon Emane; Dagnachew, Melku
Geosfera Indonesia Vol. 10 No. 3 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i3.53730

Abstract

Landscape failure and associated landslide occurrence is one of common problem in many parts of the world in hilly and mountain areas. Study in such areas could enhance proper land use management practices.  The objective of this study was to assess root causes of landslides occurrence with the use of Remote Sensing (RS) and GIS. In this study analytical hierarchy process (AHP), Spatial Multi-criteria evaluation (SMCE), and weighted linear combination (WLC) were used to produce landscape and landslide susceptibility map. In order to identify major causes of landscape failures and associated landslide problem field observation, Focus Group Discussion, and Key Informant Interview methods were employed. Geology (0.32), Slope steepness (0.24), soil texture (0.19), aspect (0.08) and drainage density (0.05) were found major causes for landslide susceptibility. Five susceptibility zones were identified in the study area. From the total area(308.44km2): very high susceptibility (28.75%), high susceptibility (22.46%), moderate   susceptibility (20.97%),   low   susceptibility (8.01%),   and   very   low susceptibility (19.81%). This shows that about 70.21% of the region in the south and east are prone to moderate to very high levels of landslide susceptibility. Information obtained from FGD and KII revealed that major causes of landslide occurrences besides to physical problems were landscape failures due to removal of indigenous plants around farmland boundaries, stream courses, hill sides and absence of modern landscape based soil and water conservation practices.  Therefore, intervention with integrated indigenous and modern farmland management as well as income diversification for the farming communities is highly recommended.
Exploring the Role of Socio-Economic Factors in Maintaining Biodiversity in Protected Biosphere Reserve Nurwarinda, Henry; Adelabu, Samuel Adewale; Ramoelo, Abel; Mashiane, Katlego; Durowoju, Olufemi Sunday; Jackson, Colbert Mutiso
Geosfera Indonesia Vol. 10 No. 3 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i3.53735

Abstract

Socio-economic factors and conservation of biodiversity interplay is very important but understudied especially in the biosphere reserves. This paper evaluates the contribution of socio-economic factors in sustaining biodiversity in Vhembe Biosphere Reserve, which is abundant in biological diversity and heritage. The study employs the mixed-methods strategy in which the quantitative method is applied using the data provided by the Statistics South Africa (SSA) census on education, employment, and income level to determine the relationship between this data and the concept of biodiversity conservation. The factors are identified as major contributors to biodiversity destruction in the region. The data on loss of biodiversity were obtained through SSA and analysed using R-Studio with multiple logistic regression. The model that best fit was the level of education, the lowest AIC was 66.33, which indicates that the level of education is a significant contributor to the degradation of biodiversity. It is worth noting that the education levels of “No schooling”, “Some primary” and “Some secondary” had a great impact on the biodiversity variable. “No schooling” was the most significant negative variable that influenced the loss of biodiversity. The research highlighted how environmental education and awareness can be utilised to conserve natural resources. The solution to these socio-economic driving factors would contribute to achieving a sustainable equilibrium between human development and the ecological conservation of the Vhembe Biosphere Reserve. The study will help in comprehending the effects of socio-economics on biodiversity and offer practical implications to policymakers and conservationists around the world.

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