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Environmental Research and Planetary Health (ERPH)
Published by Tecno Scientifica
ISSN : ""     EISSN : 30901219     DOI : https://doi.org/10.53623/erph
Core Subject : Health, Social,
Environmental Research and Planetary Health is a multi-disciplinary journal publishing high quality and novel information about anthropogenic issues of global relevance and applicability in a wide range of environmental and human health disciplines, demonstrating environmental and health application in the real-world context. Coverage includes, but is not limited to, the following research topics and areas: Air, soil, water and biota chemical pollutants and health Analytical and bioanalytical chemistry Bioconcentration, bioaccumulation and biomagnification Biotransformation and environmental fate Contaminant behaviour and environmental processes Biomarkers Biomonitoring and adverse/toxic health effects Chemical stressors Ecological chemistry Ecotoxicology Endocrine disruption Environmental and occupational medicine Environmental biotechnology Environmental chemistry Environmental epidemiology Environmental functional materials for pollution control Environmental risks assessment and management Environmental toxicology Environment-related "omics" Food web interactions Global warming/Climate change Health, safety and environment Indoor and outdoor air pollution control Marine, freshwater and terrestrial ecosystems Occupational health Pollution detection and monitoring Public health Resource-Energy recovery during pollution control Risks and public health Solid waste management Soil and site pollution remediation Waste treatment and disposal Wastewater and sewage contaminants Water pollution control and Water security Wildlife and biota
Articles 13 Documents
Drivers of Urban Growth: Cellular Automata–Markov–Analytic Hierarchy Process Modeling of Land Use Change in Amman City, Jordan Abdeljawad, Nour; Awajan, Ahmad; Adedokun, Victor
Environmental Research and Planetary Health Volume 2 - Issue 1 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/erph.v2i1.988

Abstract

Over the past two decades, rapid urban growth significantly altered land-use patterns in Amman, raising critical concerns regarding sustainability and food security. This study utilized an integrated Cellular Automata–Markov (CA–Markov) model, in combination with the Analytical Hierarchy Process (AHP), to simulate land-use and land-cover (LULC) changes and project future scenarios for 2031 and 2040. The CA–Markov model quantified temporal land-use transitions and simulated spatial growth patterns, while AHP served as a multi-criteria decision-making tool to determine the relative influence of key driving factors on urban growth. Landsat imagery from 2004, 2013, and 2022 was classified into three main categories: built-up areas, agricultural land, and barren land. The simulation framework incorporated key driving factors, including GDP per capita, population density, road accessibility, elevation, and slope. Model validation against actual 2022 LULC data yielded a high accuracy of 91.4% and a Kappa index of 0.89, demonstrating the reliability of the predictive framework. The results projected that built-up areas would increase from 257.35 km² (32.3%) in 2022 to 309.18 km² (38.9%) in 2031 and 349.17 km² (43.9%) by 2040, accompanied by a consistent decline in both agricultural and barren lands. Spatial analysis revealed that districts with higher population density, intense economic activity, and superior road accessibility were particularly susceptible to rapid urbanization. These findings highlighted the urgent need for proactive urban planning policies to protect agricultural land and manage growing infrastructure demands. While the CA–Markov model effectively replicated historical patterns, its reliance on past trends limited its capacity to anticipate sudden policy shifts or environmental shocks. Future research should prioritize integrating higher-resolution datasets, such as QuickBird imagery and detailed cadastral or infrastructure data, to improve the spatial accuracy of LULC simulations. In addition, the development of policy-driven and scenario-based models should incorporate urban growth boundaries, agricultural land protection policies, and transportation expansion plans. This would enable more realistic forecasting of land-use dynamics and provide stronger decision-support tools for resilient and sustainable urban development.
Physicochemical Assessment of Dairy Effluent Characteristics and Sustainable Waste Management Strategies Singh, Shivani; Singh, Jyoti; Satya, Kumari; Srivastava, Richa; Singh, Rajeev Pratap
Environmental Research and Planetary Health Volume 2 - Issue 1 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/erph.v2i1.1176

Abstract

The dairy sector, a fundamental component of the global food ecosystem, has witnessed notable expansion due to technological innovations and shifting consumer preferences. Nonetheless, the management of dairy waste poses a significant challenge, with inadequate treatment resulting in severe environmental repercussions, including aquatic pollution, eutrophication, and ecological deterioration. This research examines the physicochemical characteristics of effluents from two dairies in Varanasi—Parag Industrial Dairy and Ganga Local Dairy. Parameters such as pH, dissolved oxygen, biological oxygen demand (BOD), chemical oxygen demand (COD), hardness, and nutrient concentrations were evaluated using standardized methodologies. The results indicated substantial deviations from prescribed standards, particularly for ammoniacal nitrogen, COD, BOD, as well as oil and grease concentrations, highlighting deficiencies in existing treatment protocols. The findings accentuate the necessity for enhanced effluent management strategies to ensure compliance with environmental regulations and promote sustainability. Additionally, this research underscores the potential applicability of treated effluent for agricultural use, warranting further investigation into optimal dilution ratios and microbial interactions to maintain ecological equilibrium and sustained productivity.
Hot Weather Exposure and Human Health in Vietnam: Impacts, Risk Distribution, and Adaptation Strategies Nguyen Thi Thu Thuy; Dao Nguyen Manh; Quach Thi Quynh; Pham Thi Phuong Lien; Tran Thanh Tuan; Chu Duc Thanh; Do Thi Thuy Trang; Trinh Quang Minh; Vu Thi Loan; Nguyen Van Thanh
Environmental Research and Planetary Health Volume 2 - Issue 2 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/erph.v2i2.1174

Abstract

In the context of climate change, extreme heat in Vietnam has been increasing markedly in frequency, intensity, and duration, becoming one of the leading environmental threats to public health. This study aims to synthesize scientific evidence on the impacts of heat on human health, analyze the current situation and risk distribution in Vietnam, and propose appropriate response measures. Heat not only directly affects health but also has far-reaching impacts on labor productivity and socio-economic development. Evidence from Vietnam indicates that heat is associated with an increase in physiological and pathological disorders such as dehydration, electrolyte imbalance, cardiovascular and respiratory diseases, kidney injury, and mental health disorders. Prolonged heatwaves increase the risk of hospitalization and mortality, particularly among vulnerable groups such as the elderly, children, pregnant women, individuals with chronic diseases, and outdoor workers. The distribution of risk is uneven, with higher concentrations in major urban areas and the southern region due to prolonged high temperatures combined with high humidity and the urban heat island effect; the North Central and Central Coastal regions are also severely affected due to hot, dry winds. Notably, heat exposure has resulted in the loss of 16 billion working hours annually, leading to economic losses of approximately USD 23 billion (as of 2022). In response to this situation, priority should be given to adaptation measures suited to Vietnam’s context, including raising public awareness, protecting vulnerable populations, adjusting working conditions, improving living environments, and promoting effective cooling solutions. These directions are crucial for mitigating the health impacts of heat in the future.

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