Photocatalytic degradation of indole in UV/TiO2: optimization and modelling using the response surface methodology (RSM)

The aim of our research is to apply experimental design methodology to the optimization of photocatalytic degradation of indole present in wastewater. Heterogeneous photocatalysis for the oxidation of organic biorecalcitrant pollutants in water is an environmental promising method. We used the response surface methodology (RSM) for the modelization and optimization of the photodegradation of indole in the presence of titanium dioxide. The effect of indole concentration, UV intensity and stirring speed on the yield of indole degradation was determined. According to the mathematic optimization of the process, the optimum point when 100% of degradation is achieved is given by the following values: UV intensity = 250 W/m², stirring speed = 536.36 tr/min and initial indole concentration = 10.10 mg/l.     

People’s dependency on forest resources and contributions of forests to the livelihoods: a case study in Chittagong Hill Tracts (CHT) of Bangladesh

The study was conducted to investigate people’s forest dependency and contributions of forests to the livelihoods in the three hill districts of Chittagong Hill Tracts (CHT), Bangladesh. The study revealed that forest resources contribute significantly to rural community’s livelihoods and economic well-being. Using generalized logistic regressions, this study has also investigated the socioeconomic factors that affect people’s dependency on forest resources of CHT. The study revealed that people’s income from forest and forest-related occupation was positively aligned with their forest dependency. However, their education level significantly reduced their dependency on forest resources. Thus, educating the forest-dependent people and supporting alternative income generation activities should be appreciated for effective forest management in CHT. This study will be helpful to forest and environmental policy makers for CHT.     

How have reforms fuelled the expansion of artisanal mining? Evidence from sub-Saharan Africa

This paper investigates whether and how World Bank mining sector reforms have fuelled the expansion of illegal artisanal mining activity in Sub-Saharan Africa. In doing so, the analysis examines three issues. First, the emerging correlation between reforms and poverty, mainly a result of increased unemployment caused by Structural Adjustment Programmes and concurrent privatisation of state-owned enterprises, is explored. Second, the possibility that reform of large-scale mining has decreased available land for peasant farming as well as legalised small-scale mining activity is discussed. Finally, the notion that the regularisation of informal mining activities has been an exceedingly bureaucratic procedure in Africa, therefore providing individuals with little incentive to operate within the legal domain, is examined. Faced with few employment prospects, a growing number of Africans are pursuing employment in the artisanal mining sector, a worrying prospect given its intimate association with environmental degradation and HIV/AIDS.     

Why keep lions instead of livestock? Assessing wildlife tourism‐based payment for ecosystem services involving herders in the Maasai Mara,Kenya

This paper examines the effects of wildlife tourism‐based payments for ecosystem services (PES) on poverty, wealth inequality and the livelihoods of herders in the Maasai Mara Ecosystem in south‐western Kenya. It uses the case of Olare Orok Conservancy PES programme in which pastoral landowners have agreed to voluntary resettlement and exclusion of livestock grazing from their sub‐divided lands. These lands are set aside for wildlife tourism, in return for direct monetary payments by a coalition of five commercial tourism operators. Results show that, on the positive side, PES is the most equitable income source that promotes income diversification and buffers households from the livestock income declines during periods of severe drought, such as in 2008‐2009. Without accounting for the opportunity costs, the magnitude of the PES cash transfer to households is, on average, sufficient to close the poverty gap. The co‐benefits of PES implementation include the creation of employment opportunities in the conservancy and provision of social services. There is however a need to mitigate the negative effects of PES, including the widening inequality in income between PES and non‐PES households and the leakages resulting from the displacement of settlements and livestock to currently un‐subdivided pastoral commons.     

Solid waste forecasting using modified ANFIS modeling

Solid waste prediction is crucial for sustainable solid waste management. Usually, accurate waste generation record is challenge in developing countries which complicates the modelling process. Solid waste generation is related to demographic, economic, and social factors. However, these factors are highly varied due to population and economy growths. The objective of this research is to determine the most influencing demographic and economic factors that affect solid waste generation using systematic approach, and then develop a model to forecast solid waste generation using a modified Adaptive Neural Inference System (MANFIS). The model evaluation was performed using Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and the coefficient of determination (R2). The results show that the best input variables are people age groups 0-14, 15-64, and people above 65 years, and the best model structure is 3 triangular fuzzy membership functions and 27 fuzzy rules. The model has been validated using testing data and the resulted training RMSE, MAE and R2 were 0.2678, 0.045 and 0.99, respectively, while for testing phase RMSE =3.986, MAE = 0.673 and R2 = 0.98.

Implications: To date, a few attempts have been made to predict the annual solid waste generation in developing countries. This paper presents modeling of annual solid waste generation using Modified ANFIS, it is a systematic approach to search for the most influencing factors and then modify the ANFIS structure to simplify the model. The proposed method can be used to forecast the waste generation in such developing countries where accurate reliable data is not always available. Moreover, annual solid waste prediction is essential for sustainable planning.     

Sustainable ternary cement blends with high-volume ground granulated blast furnace slag–fly ash

Environment, Development and Sustainability - Coal fly ash and granulated ground blast furnace slag (GGBS) are more widely used as supplementary cementitious materials in cement production. This...     

Environmental energy security in the MENA region – an aggregated composite index

Environment, Development and Sustainability - Energy security is a multi-dimensional concept that is gaining a growing interest worldwide for studying the sustainability of a given energy sector....     

Investigation of integrated municipal solid waste management strategies for Oman: an assessment of waste diversion,electricity generation and greenhouse-gas emissions

Journal of Material Cycles and Waste Management - The need of an integrated municipal solid waste (MSW) management system to maximize resource recovery and simultaneously reduce greenhouse-gas...