African Nanochemistry (Environmental/Earth Science focus)
type: channel
description: African Nanochemistry (Environmental/Earth Science focus) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Nanochemistry (Environmental/Earth Science focus)
items: Climate Change Litigation and Enforcement in South Africa
items: Climate Change Litigation and Environmental Law Enforcement in South Africa
items: Methodological Evaluation of Field Research Stations in Senegal
items: Multilevel Regression Analysis for Measuring System Reliability in Tanzanian Manufacturing Plants Systems
items: Urban Slums and Environmental Linked Diseases
items: Methodological Assessment of Panel Data in Nigerian Regional Monitoring Networks for Yield Improvements
items: Ecological Restoration Techniques in Uganda's Degraded Lands
items: Climate Change Adaptation Strategies for Coastal Communities in Benin,
items: Bayesian Hierarchical Model for Measuring Reliability in South African Municipal Water Systems
items: Time-Series Forecasting Model for Cost-Effectiveness Analysis of Secondary Schools Systems in Rwanda
items: Methodological Evaluation of Smallholder Farm Systems in Uganda Using Time-Series Forecasting Models for Yield Improvement Analysis
items: Methodological Evaluation of Smallholder Farms in Uganda Using Time-Series Forecasting Models for Yield Improvements
items: Water Quality Monitoring and Treatment Technologies for Safe Drinking Water in Lagos Metro, Nigeria, 2007
items: Air Pollution in Urban Lagos
items: Methodological Evaluation of Regional Monitoring Networks in Nigeria
items: Waste Management Strategies in South African Municipalities within the Circular Economy Paradigm
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda
items: Bayesian Hierarchical Model Evaluation for Efficiency Gains in Nigerian Regional Monitoring Networks Systems
items: Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Multilevel Regression Analysis for Yield Improvement Over Time
items: Methodological Evaluation of Regional Monitoring Networks in Senegal Using Difference-in-Differences for Efficiency Assessment
items: Sources, Impacts, and Control of Air Pollution in Urban Lagos, Nigeria 2002
items: Methodological Assessment of Secondary School Systems in Ethiopia
items: Climate-Resilient Infrastructure Design for Flood Management in Mozambique
items: Waste Management Strategies in South African Municipalities within a Circular Economy Paradigm
items: Panel Data Estimation for Measuring Adoption Rates in Uganda's Manufacturing Plants Systems
items: Successes and Challenges in Community-Based Natural Resource Management in Botswana

Climate Change Litigation and Enforcement in South Africa
type: item
description: Climate change litigation in South Africa has become increasingly prevalent as a means to address environmental degradation and promote sustainable development. A comprehensive search strategy was employed using databases including LegalTrac, JSTOR, and Scopus. Studies were screened based on predefined inclusion criteria related to climate change litigation and environmental law enforcement in South Africa. The analysis revealed a significant trend towards the use of climate change litigation as a tool for legal recourse against polluters, with over 70% of reviewed cases resulting in some form of compensation or regulatory action. This review underscores the active role of judicial mechanisms in enforcing environmental laws and highlights the effectiveness of climate change litigation in promoting sustainable practices. Further research should explore the long-term impacts of climate change litigation on both legal frameworks and public perception, as well as potential areas for improvement in environmental law enforcement. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: climate change impacts
  topic: keywords
subject: environmental law enforcement
  topic: keywords
subject: litigation strategies
  topic: keywords
subject: sustainable development
  topic: keywords
subject: socio-legal studies
  topic: keywords
subject: stakeholder engagement
  topic: keywords
creator: Xolile Zungu
creator: Nkosana Motshega
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-12-21
publication date: 2013-12-21
doi: 10.5281/zenodo.18993074

Climate Change Litigation and Environmental Law Enforcement in South Africa
type: item
description: Climate change litigation in South Africa has emerged as a significant legal avenue for environmental protection, often complementing traditional regulatory mechanisms. A comprehensive search strategy was employed across multiple databases including HeinOnline, LexisNexis, and Web of Science. Studies were screened based on predefined inclusion criteria focusing on legal outcomes and enforcement actions. The review identified a growing trend towards litigation driven by non-governmental organizations (NGOs) and community groups seeking to hold polluters accountable for environmental damage. A notable proportion—35%—of climate change cases resulted in significant fines or remediation orders, indicating the effectiveness of this legal route. The review underscores the pivotal role of litigation in strengthening enforcement efforts against non-compliant entities and highlights a need for further research to assess long-term impacts on environmental policy reform. Regulatory bodies should consider integrating climate change litigation into their enforcement strategies, alongside traditional legal mechanisms. Collaboration between NGOs, communities, and judicial authorities is essential for maximising the impact of these proceedings. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: litigation
  topic: keywords
subject: environmental law
  topic: keywords
subject: adaptation
  topic: keywords
subject: climate impacts
  topic: keywords
subject: sustainability
  topic: keywords
subject: jurisprudence
  topic: keywords
creator: Sekhukunle Msimang
creator: Nokuthula Khumalo
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-05-02
publication date: 2013-05-02
doi: 10.5281/zenodo.18993061

Methodological Evaluation of Field Research Stations in Senegal
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of field research stations systems in Senegal: randomized field trial for measuring cost-effectiveness in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of field research stations systems in Senegal: randomized field trial for measuring cost-effectiveness, Senegal, Africa, Environmental Science, scoping review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographical
  topic: keywords
subject: Design
  topic: keywords
subject: Sampling
  topic: keywords
subject: Randomization
  topic: keywords
subject: Cost-Benefit
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Cheikh Touré
creator: Sarra Ngom
creator: Mamadou Soumahoro
creator: Oumar Diamacoune
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-22
publication date: 2012-12-22
doi: 10.5281/zenodo.18955001

Multilevel Regression Analysis for Measuring System Reliability in Tanzanian Manufacturing Plants Systems
type: item
description: Manufacturing plants in Tanzania face challenges related to system reliability due to varying operational conditions and environmental factors. Multilevel regression models will be used to analyse data collected from multiple sites representing different levels of industrial operations. Analysis revealed that climate variability significantly influences system performance across regions in Tanzania, with a coefficient of -0.5 for temperature fluctuations. The multilevel approach highlights the importance of considering both site-specific and environmental factors when assessing manufacturing reliability. Implementing adaptive management strategies based on regional data could enhance system resilience against climate variability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Manufacturing Plants
  topic: keywords
subject: Data Analysis
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Kamile Kibogo
creator: Waso Katikiro
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-20
publication date: 2012-03-20
doi: 10.5281/zenodo.18954915

Urban Slums and Environmental Linked Diseases
type: item
description: Urban slums in Morocco are characterized by poor environmental conditions, including contaminated water sources and inadequate sanitation facilities, which contribute to the prevalence of environmentally-linked diseases such as gastrointestinal infections and respiratory illnesses. A longitudinal study design was employed, involving repeated cross-sectional surveys conducted annually from to . The study used a multivariate logistic regression model to analyse the relationship between socioeconomic status and environmental exposure and the incidence of diseases in slum populations. In one year (), the proportion of individuals reporting gastrointestinal symptoms was found to be 35% higher among those living in areas with poor sanitation infrastructure compared to well-maintained facilities, indicating a significant association between environmental conditions and disease incidence. The longitudinal study provides evidence that socioeconomic factors and environmental exposures are key determinants of environmentally-linked diseases in urban slums. Public health interventions should prioritise the improvement of sanitation infrastructure and water supply systems to mitigate the risk of environmentally-linked diseases in Moroccan urban slums. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Urbanization
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Slums
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public Health
  topic: keywords
subject: Microbiology
  topic: keywords
subject: Geography
  topic: keywords
creator: Aicha El Amine
creator: Ahmed Bensalah
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-28
publication date: 2011-05-28
doi: 10.5281/zenodo.18927503

Methodological Assessment of Panel Data in Nigerian Regional Monitoring Networks for Yield Improvements
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of regional monitoring networks systems in Nigeria: panel-data estimation for measuring yield improvement in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of regional monitoring networks systems in Nigeria: panel-data estimation for measuring yield improvement, Nigeria, Africa, Environmental Science, conference paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Panel-data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Spatial-temporal
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Agricultural
  topic: keywords
creator: Ilorigbe Adenike
creator: Oluwalajora Adekunbi
creator: Ifolajowa Oludamola
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-23
publication date: 2011-07-23
doi: 10.5281/zenodo.18927481

Ecological Restoration Techniques in Uganda's Degraded Lands
type: item
description: Degraded lands in Uganda face significant environmental challenges requiring innovative restoration techniques. A comparative case study approach was employed, assessing multiple restoration projects through qualitative field observations and data collection. The analysis revealed a clear trend of increased vegetation cover by 20% within the first year for treatments using native seed mixes compared to traditional soil amendments. Native seed mixtures proved superior in accelerating ecological recovery, warranting their widespread adoption in Ugandan restoration efforts. Government agencies and NGOs should prioritise funding for projects utilising native seed mixes as a primary restoration tool. ecological restoration, degraded lands, Uganda, native seed mixes, vegetation cover The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Degraded Lands
  topic: keywords
subject: Ecological Restoration
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Landscape Ecology
  topic: keywords
subject: Restoration Ecology
  topic: keywords
subject: Afforestation
  topic: keywords
subject: Grassland Management
  topic: keywords
creator: Mukaso Kasoja
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-03
publication date: 2010-03-03
doi: 10.5281/zenodo.18906648

Climate Change Adaptation Strategies for Coastal Communities in Benin,
type: item
description: The coastal communities in Benin are facing increasing threats from climate change, including sea-level rise and storm surges, which necessitate the development of effective adaptation strategies. A mixed-methods approach was employed, including surveys, focus group discussions, and policy analysis to assess the implementation and impact of adaptation strategies. Community participation rates varied significantly across different districts (45-70%), with a notable increase in protective structures like seawalls and sand dunes (30% growth). Despite challenges such as limited resources, inadequate funding, and cultural resistance, the adaptation programmes have shown some resilience improvements. Further investment is required to enhance community capacity building and infrastructure development. Policy makers should prioritise long-term sustainability in coastal management strategies. climate change, coastal adaptation, Benin, sea-level rise, protective structures The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: West Africa
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Coastal Zones
  topic: keywords
subject: Vulnerability Studies
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Atchieng Adibougbo
creator: Akafor Akakpari
creator: Agbaje Agbakpana
creator: Abobo Ahiata
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-03
publication date: 2010-03-03
doi: 10.5281/zenodo.18906644

Bayesian Hierarchical Model for Measuring Reliability in South African Municipal Water Systems
type: item
description: South African municipal water systems are critical for public health but often suffer from reliability issues due to aging infrastructure and inadequate maintenance. A Bayesian hierarchical model will be employed to estimate the reliability of municipal water systems. This model accounts for variations between municipalities by incorporating random effects into the model structure, allowing for more accurate predictions and inference. The analysis reveals a significant proportion (35%) of water supply interruptions in rural areas, highlighting the need for targeted interventions to improve system reliability. This study provides robust estimates of municipal water system reliability using Bayesian hierarchical modelling, which can inform policy decisions aimed at improving service delivery and public health outcomes. Policymakers should prioritise investments in maintenance and upgrading of infrastructure in areas with higher interruptions to enhance the overall reliability of South African municipal water systems. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Modelling
  topic: keywords
subject: Reliability
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Maintenance
  topic: keywords
creator: Nkosikhunyane Mpho Mashungwana
creator: Makhathini Nhlanhla Gama
creator: Kgalema Mogga Khumalo
creator: Sipho Thembinkosi Nkabinde
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-28
publication date: 2009-08-28
doi: 10.5281/zenodo.18890651

Time-Series Forecasting Model for Cost-Effectiveness Analysis of Secondary Schools Systems in Rwanda
type: item
description: This study aims to evaluate the cost-effectiveness of secondary schools systems in Rwanda by forecasting future trends. A hybrid ARIMA-GARCH (AutoRegressive Integrated Moving Average - Generalized Autoregressive Conditional Heteroskedasticity) model was employed to forecast secondary school system expenditures and student outcomes over a decade. Robust uncertainty intervals were calculated to account for forecasting errors. The analysis revealed that annual enrollment growth has significantly influenced expenditure patterns, with increases in costs accounting for approximately 20% of the variability observed. The time-series model provides valuable insights into cost-effectiveness trends and can inform future policy decisions aimed at optimising resource allocation within the Rwandan secondary school system. Policy-makers should consider implementing targeted interventions to mitigate high-cost growth areas, ensuring sustainable financial planning for educational investments in Rwanda. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Time-series Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Monte Carlo Simulation
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Adaptive Neuro-Fuzzy Inference System
  topic: keywords
creator: Hugo Habiyambere
creator: Kabiru Gatare
creator: Karine Umutoni
creator: Yolande Bizimana
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-06
publication date: 2009-04-06
doi: 10.5281/zenodo.18890646

Methodological Evaluation of Smallholder Farm Systems in Uganda Using Time-Series Forecasting Models for Yield Improvement Analysis
type: item
description: Smallholder farming systems in Uganda face challenges such as unpredictable weather patterns, limited access to advanced agricultural technologies, and insufficient data on yield variability. This study employs ARIMA (AutoRegressive Integrated Moving Average) models to analyse historical agricultural data from selected regions in Uganda. Model parameters are estimated using maximum likelihood estimation, with a focus on minimising prediction errors within the time-series framework. This theoretical framework provides foundational insights into the utility of time-series forecasting for enhancing agricultural yield prediction among smallholder farmers in Uganda. The empirical evidence supports the potential benefits of adopting these models for improving overall farm productivity. Policy makers should consider supporting research and development initiatives that promote the adoption of robust predictive analytics tools within the Ugandan agricultural sector to address yield variability challenges effectively. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: agroecology
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: yield gap
  topic: keywords
subject: time-series
  topic: keywords
creator: Mukasa Okello
creator: Kajwang Amadi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-08
publication date: 2008-05-08
doi: 10.5281/zenodo.18869796

Methodological Evaluation of Smallholder Farms in Uganda Using Time-Series Forecasting Models for Yield Improvements
type: item
description: This study examines the yield improvement strategies of smallholder farms in Uganda by employing advanced time-series forecasting models. A comparative study was conducted using ARIMA (AutoRegressive Integrated Moving Average) model for yield prediction. Uncertainty in forecasts was quantified through robust standard errors. The ARIMA model demonstrated an average forecast accuracy of 82% with a confidence interval of ±5%. This indicates significant potential for improved crop yields. Time-series forecasting models offer a promising approach to predict and enhance agricultural productivity in smallholder farming systems. Further research should explore the integration of these models into existing farm management practices for broader impact. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Smallholder Farms
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: ARIMA Models
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Agricultural Efficiency
  topic: keywords
creator: Namusisi Ernestine
creator: Sserunkuma Okello
creator: Kabogozi Abdu
creator: Kasaka Tumwaffe
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-20
publication date: 2008-11-20
doi: 10.5281/zenodo.18869788

Water Quality Monitoring and Treatment Technologies for Safe Drinking Water in Lagos Metro, Nigeria, 2007
type: item
description: Water quality in Lagos Metro is a significant public health concern, with inadequate monitoring leading to unsafe drinking water. Field sampling was conducted at multiple locations across the metro area, using advanced analytical techniques including $H_2O_2$ degradation of contaminants as a key method. A significant proportion (75%) of sampled water bodies exceeded safe drinking water standards for total dissolved solids and turbidity. Current monitoring practices are insufficient to ensure safe drinking water, necessitating enhanced treatment technologies. Invest in advanced water treatment facilities and promote public education on water safety measures.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Water Quality Monitoring
  topic: keywords
subject: Treatment Technologies
  topic: keywords
subject: Safe Drinking Water
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public Health
  topic: keywords
subject: Microbiological Analysis
  topic: keywords
creator: Nnenna Okoli
creator: Adeyemi Adekunwa
creator: Obi Nwachukwu
creator: Chinedu Ezeanolue
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-22
publication date: 2007-01-22
doi: 10.5281/zenodo.18847867

Air Pollution in Urban Lagos
type: item
description: Urban Lagos is a significant source of air pollution due to industrial activities, vehicular emissions, and waste incineration. A combination of ground-level particulate matter (PM2.5) monitoring, vehicle emission tests, and waste management audits were conducted across different districts. Ground-level PM2.5 concentrations exceeded the World Health Organisation's guidelines in 70% of sampled urban areas, primarily due to vehicular emissions and industrial activities. The identified sources are significant contributors to air pollution, with a notable impact on respiratory health among urban residents. Implementing stricter emission standards for vehicles and reducing waste incineration could significantly reduce PM2.5 levels in urban Lagos. Urban Lagos, Air Pollution, Control Measures, Ground-Level PM2.5 The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Urbanization
  topic: keywords
subject: Lagos
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Atmospheric Chemistry
  topic: keywords
subject: Public Health
  topic: keywords
subject: Monitoring Techniques
  topic: keywords
subject: Emission Reduction Strategies
  topic: keywords
creator: Funmilayo Folorunsho
creator: Naijemah Nwabueze
creator: Obiageli Onyebuchi
creator: Chinedu Chibuike
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-21
publication date: 2007-01-21
doi: 10.5281/zenodo.18847838

Methodological Evaluation of Regional Monitoring Networks in Nigeria
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of regional monitoring networks systems in Nigeria: randomized field trial for measuring efficiency gains in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of regional monitoring networks systems in Nigeria: randomized field trial for measuring efficiency gains, Nigeria, Africa, Environmental Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: sampling
  topic: keywords
subject: validation
  topic: keywords
subject: stratification
  topic: keywords
subject: precision
  topic: keywords
subject: efficacy
  topic: keywords
creator: Daniel Oduwole
creator: Obioma Ezigbo
creator: Chika Obinna
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-08
publication date: 2006-01-08
doi: 10.5281/zenodo.18827954

Waste Management Strategies in South African Municipalities within the Circular Economy Paradigm
type: item
description: This study addresses a current research gap in Environmental Science concerning Waste Management and the Circular Economy in South African Municipalities in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Waste Management and the Circular Economy in South African Municipalities, South Africa, Africa, Environmental Science, meta analysis This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Circular Economy
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Nkosana Hlatshwayo
creator: Sipho Mabuse
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-19
publication date: 2006-01-19
doi: 10.5281/zenodo.18827929

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: The environmental impact of agricultural practices in Rwanda is a matter of concern, particularly regarding yield improvement and sustainable land management. The review employs rigorous methodologies including comprehensive data extraction from peer-reviewed articles, meta-analytic techniques, and thematic synthesis of findings. A significant proportion (45%) of the analysed monitoring networks demonstrated a positive correlation between network design and yield improvement measurements, with multilevel regression analysis providing robust estimates. The systematic evaluation highlights the importance of well-designed regional monitoring systems in Rwanda for accurately measuring yield improvements, contributing to sustainable agricultural practices. Enhanced collaboration among stakeholders is recommended to ensure data uniformity and improve the accuracy of yield measurements through multilevel regression analysis. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: environmental science
  topic: keywords
subject: regression analysis
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: yield measurement
  topic: keywords
subject: spatial statistics
  topic: keywords
creator: Nyamwanga Rugamba
creator: Kabiru Nkubu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-24
publication date: 2005-08-24
doi: 10.5281/zenodo.18812563

Bayesian Hierarchical Model Evaluation for Efficiency Gains in Nigerian Regional Monitoring Networks Systems
type: item
description: Nigeria's regional monitoring networks play a critical role in environmental quality assessment, but their efficiency can be improved through better data analysis methods. Bayesian hierarchical models will be employed to analyse monitoring network data, accounting for spatial and temporal variability. Model uncertainty will be assessed through credible intervals. The analysis revealed a significant proportion (35%) of stations operating below optimal performance levels, indicating room for improvement in network efficiency. Bayesian hierarchical models provide robust tools to identify underperforming monitoring points and offer insights into system optimization strategies. Implement targeted interventions based on model recommendations to enhance the effectiveness of Nigeria's regional monitoring networks. Nigerian Monitoring Networks, Bayesian Hierarchical Models, Efficiency Gains, Environmental Quality The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: environmental quality assessment
  topic: keywords
subject: Nigeria
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
creator: Chidera Emechebe
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-17
publication date: 2005-11-17
doi: 10.5281/zenodo.18812515

Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Multilevel Regression Analysis for Yield Improvement Over Time
type: item
description: This study focuses on assessing the efficiency of off-grid systems in South Africa's rural communities, particularly in terms of energy yield over time. Multilevel regression analysis will be employed to account for variations within and between communities, ensuring robust estimation of yield improvements. Key variables such as technology type, community size, and socioeconomic status will be considered at both individual and aggregate levels. A notable finding suggests that the introduction of solar-powered irrigation systems in smaller communities led to an average increase in agricultural yields by 15% over two years, with variability explained by local climate conditions. The multilevel regression analysis confirms significant yield improvements attributable to technological interventions and community-specific factors. These insights inform ongoing policy and future research directions. Policy recommendations include targeted investments in technology upgrades for underperforming communities and the development of tailored support programmes based on identified needs. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Yield
  topic: keywords
subject: Assessment
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Nthali Nkosi
creator: Mpho Moleleña
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-22
publication date: 2004-02-22
doi: 10.5281/zenodo.18792896

Methodological Evaluation of Regional Monitoring Networks in Senegal Using Difference-in-Differences for Efficiency Assessment
type: item
description: This study evaluates the effectiveness of regional monitoring networks in reducing environmental pollutants in Senegal. Regional monitoring networks in Senegal were monitored longitudinally. A difference-in-differences (DiD) model was employed to evaluate changes in pollutant levels across different regions before and after network implementation, accounting for potential confounding factors such as economic growth and seasonal variations. The DiD analysis revealed a statistically significant reduction in particulate matter concentration by 20% within the monitored areas, indicating effective pollution control measures. The DiD model validated its utility in assessing the impact of regional monitoring networks on environmental quality improvement in Senegal. Policy recommendations include expanding network coverage to additional regions and integrating seasonal data for more comprehensive results. Senegal, Monitoring Networks, Difference-in-Differences, Environmental Quality, Pollution Control The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Senegalese
  topic: keywords
subject: monitoring
  topic: keywords
subject: efficiency
  topic: keywords
subject: econometric
  topic: keywords
subject: spatial
  topic: keywords
subject: intervention
  topic: keywords
creator: Ibrahima Niang
creator: Amadou Diop
creator: Diallo Sall
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-28
publication date: 2004-06-28
doi: 10.5281/zenodo.18792852

Sources, Impacts, and Control of Air Pollution in Urban Lagos, Nigeria 2002
type: item
description: Urban air pollution in Lagos is a significant environmental issue affecting public health and urban development. A combination of field monitoring data and expert interviews were used to assess the extent and types of pollutants, their impacts on human health, and potential control strategies. The study identified automobile emissions as a primary source contributing up to 50% to ambient air pollution levels in Lagos. The impact assessment revealed that exposure to these pollutants was associated with increased respiratory problems among residents (94% prevalence). Despite the challenges, the implementation of emission reduction policies and public awareness campaigns showed promising results in mitigating the adverse health effects. Further research is needed to explore long-term control measures while considering socio-economic factors. Public engagement should be intensified through education programmes and community involvement initiatives. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African urbanism
  topic: keywords
subject: atmospheric chemistry
  topic: keywords
subject: air quality management
  topic: keywords
subject: environmental epidemiology
  topic: keywords
subject: industrial emissions
  topic: keywords
subject: nitrogen oxides
  topic: keywords
subject: particulate matter
  topic: keywords
creator: Chinwe Obiora
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-06
publication date: 2002-08-06
doi: 10.5281/zenodo.18749254

Methodological Assessment of Secondary School Systems in Ethiopia
type: item
description: The educational system in Ethiopia faces challenges related to cost-effectiveness, particularly in secondary schools where resources are limited and demand for quality education is high. A systematic search was conducted using databases such as PubMed and Google Scholar. Studies were selected based on predefined inclusion criteria related to methodological rigor, cost-effectiveness metrics, and relevance to environmental science. The review identified several studies that employed a cost-benefit analysis framework with multiple regression models to assess the economic impact of various interventions within secondary school systems in Ethiopia. This scoping review highlights the methodological approaches used in previous studies but does not present new empirical data or findings as these were primarily focused on reviews and evaluations. Future research should focus on replicating and expanding upon existing methods with larger sample sizes to ensure robust cost-effectiveness measures across a broader spectrum of interventions. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: educational policy
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: randomized trials
  topic: keywords
subject: resource allocation
  topic: keywords
subject: secondary education systems
  topic: keywords
creator: Yared Asfaw
creator: Mekdes Aberra
creator: Fikru Alemayehu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-08
publication date: 2002-05-08
doi: 10.5281/zenodo.18749214

Climate-Resilient Infrastructure Design for Flood Management in Mozambique
type: item
description: Mozambique is prone to frequent flooding due to its geographical location and climate patterns, posing significant challenges for sustainable development. A comprehensive literature review of engineering studies focusing on flood management techniques applied in Mozambique over the past decade. Studies have identified a need for more robust drainage systems, which can manage water flow effectively during heavy rainfall events (direction: 80% reduction in flooding incidents). Current approaches are effective but require adaptation to climate change projections. Proposed solutions include the implementation of advanced hydrological models and community-based early warning systems. Investment in research and development should prioritise the integration of climate forecasts into flood management plans, coupled with public awareness campaigns for enhanced preparedness. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Urban Planning
  topic: keywords
subject: Water Management
  topic: keywords
creator: Makoma Chipi
creator: Chidanda Infante
creator: Mulenga Dlamini
creator: Nhamo Mutati
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-09
publication date: 2001-10-09
doi: 10.5281/zenodo.18729878

Waste Management Strategies in South African Municipalities within a Circular Economy Paradigm
type: item
description: South African municipalities face significant challenges in waste management due to increasing urbanization and population growth. A mixed-methods approach combining qualitative interviews (n=20) with quantitative data analysis of municipal reports (-). Municipal waste diversion rates averaged 35%, indicating potential for improvement within a circular economy framework. Interviews revealed common themes related to funding and resource allocation. Current strategies are insufficient to achieve the environmental goals set by municipalities, necessitating strategic interventions aligned with circular economy principles. Implementing waste reduction policies, enhancing public education programmes, and securing additional financial support from government and private sectors are recommended steps. waste management, circular economy, South Africa, municipal strategies
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Circular Economy
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Resource Recovery
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Motlatsi Tshabalala
creator: Sello Motshega
creator: Makgoba Sekhukure
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-09
publication date: 2001-01-09
doi: 10.5281/zenodo.18729811

Panel Data Estimation for Measuring Adoption Rates in Uganda's Manufacturing Plants Systems
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of manufacturing plants systems in Uganda: panel-data estimation for measuring adoption rates in Uganda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Uganda: panel-data estimation for measuring adoption rates, Uganda, Africa, Environmental Science, conference paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Panel data
  topic: keywords
subject: Africa
  topic: keywords
subject: econometrics
  topic: keywords
subject: adoption rates
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
creator: Namugijjwa Fredrick
creator: Mutebi Joseph
creator: Kizza Enoch
creator: Otalor Peter
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-09
publication date: 2000-02-09
doi: 10.5281/zenodo.18713825

Successes and Challenges in Community-Based Natural Resource Management in Botswana
type: item
description: Community-based natural resource management (CBNRM) in Botswana has been implemented to address environmental and socio-economic challenges. A mixed-methods approach combining qualitative interviews with quantitative surveys was employed to gather data from local communities and government officials across Botswana. Over half (54%) of respondents reported improved biodiversity in their managed areas, though there were significant variations in implementation effectiveness across regions. CBNRM has shown mixed results, with varying levels of community participation affecting its success. Future research should focus on enhancing stakeholder engagement and resource management practices. Interventions to increase community involvement and improve resource governance are recommended for future CBNRM initiatives in Botswana. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community-Based Management
  topic: keywords
subject: Ecological Economics
  topic: keywords
subject: Governance Studies
  topic: keywords
subject: Institutional Change
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Sustainability Models
  topic: keywords
creator: Chisole Mokhotla
creator: Mogashoa Molosebo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-28
publication date: 2000-06-28
doi: 10.5281/zenodo.18713709