Antimony (Sb) – pollution and removal techniques – critical assessment of technologies

In view of increasing emissions of antimony (Sb) into the environment due to industrialization and consequent carcinogenicity, it is essential to remove this metal from the ecosystem. Antimony and arsenic (As) are analogs. Although numerous studies examined arsenic removal, few reports are available on Sb removal. In this review, various Sb removal techniques are described to understand how this process occurs and what research gaps are needed to improve efficiency. At present, surface adsorption technique is the most widely used for Sb removal. Biological treatment namely phytoremediation is also a promising method and more investigations are required in this regard. The selection of a suitable technique for a given area depends on the conditions including economic, environmental, and social conditions.     

Kin recognition and cannibalistic behaviours by adult male fathead minnows (<Emphasis Type="Italic">Pimephales promelas</Emphasis>)

Parental care is an energetically demanding activity that ensures genes are efficiently passed from one generation to the next. According to evolutionary theory, the greatest energetic investment should be directed towards offspring that are most closely related to the parent. Male fathead minnows, Pimephales promelas, provide this parental investment to developing embryos but not newly hatched larvae. Therefore, selection should favour recognition of embryonic kin to ensure energetic expenditure is optimally invested. In this study, adult male fathead minnows were tested using behavioural assays, with egg cannibalism as an endpoint, to determine whether adult males could discriminate between related and unrelated embryos. Egg cannibalism was highest when adult male fathead minnows were presented with unrelated eggs and lowest when presented with eggs fertilized by the test subject (related eggs). The degree of cannibalism was also a function of breeding status. Unrelated males in breeding condition showed an intermediate response between the low cannibalism demonstrated by related males and the high cannibalism demonstrated by unrelated males in a nonbreeding condition. These results suggest that although male fathead minnows can discriminate between unrelated and related embryos, at least some component of parental investment is a simple function of breeding status.     

Diversion of the Ganges Water at Farakka and Its Effects on Salinity in Bangladesh

/ The Ganges River supplies water to the southwest region of Bangladesh mainly through one of its distributaries-the Gorai River. India commissioned a barrage on the Ganges River at Farakka in April 1975 to divert water and make the Bhagirathi-Hooghly River navigable. The diversion has reduced the dry season discharge of the Ganges and Gorai rivers in Bangladesh. Statistical analyses indicate that the changes in the dry season discharge of these rivers are significant. Reduced discharge in the Gorai River has induced accelerated sedimentation and increased salinity in the southwest region of Bangladesh. Empirical analyses demonstrate the relationship between discharge in the Gorai River and salinity. Analyses also determine the requirement of flow for the Ganges and Gorai rivers to keep salinity at threshold limits. Increased salinity has caused negative effects on agriculture, forestry, industry, and drinking water in the southwest region of Bangladesh.KEY WORDS: Bangladesh; Ganges River; Gorai River; Farakka diversion; Salinity     

Precipitation Extremes and Flood Frequency in a Changing Climate in Southeastern Virginia

Despite the advances in climate change modeling, extreme events pose a challenge to develop approaches that are relevant for urban stormwater infrastructure designs and best management practices. The study first investigates the statistical methods applied to the land‐based daily precipitation series acquired from the Global Historical Climatology Network‐Daily (GHCN‐D). Additional analysis was carried out on the simulated Multivariate Adaptive Constructed Analogs (MACA)‐based downscaled daily extreme precipitation of 15 General Circulation Models and Weather Research and Forecasting‐based hourly extreme precipitation of North American Regional Reanalysis to discern the return period of 24‐hr and 48‐hr events. We infer that the GHCN‐D and MACA‐based precipitation reveals increasing trends in annual and seasonal extreme daily precipitation. Both BCC‐CSM1‐1‐m and GFDL‐ESM2M models revealed that the magnitude and frequency of extreme precipitation events are projected to increase between 2016 and 2099. We conclude that the future scenarios show an increase in magnitudes of extreme precipitation up to three times across southeastern Virginia resulting in increased discharge rates at selected gauge locations. The depth‐duration‐frequency curve predicted an increase of 2–3 times in 24‐ and 48‐h precipitation intensity, higher peaks, and indicated an increase of up to 50% in flood magnitude in future scenarios.     

Waste in the Inner City: asset or assault?

In an unequal society, undesirable wastes often end up in the poorest and least powerful communities, becoming part of the economic and environmental milieu of the inner city. Two contradictory responses to waste reflect contrasting theoretical paradigms. Some wastes can become assets in local economic development, creating incomes through scavenging, industrial jobs in recycling plants or new businesses using locally available materials. Other wastes are an assault on the community that receives them; toxic wastes, polluting facilities and industrial by-products often create local health hazards rather than development. Waste as an asset is consistent with the free market model of economics. The inner city, 'endowed' with waste materials and low-wage labour, has a comparative advantage in labour-intensive processing of materials that the rest of society has discarded. Waste as an assault on the community is consistent with a different model of environmental risk. Some by-products of industry are so hazardous that they should not be produced, or should be tightly regulated. Each model has a realm of validity; the balance between the two depends on which wastes are hazardous, and which are just ugly resources waiting to be discovered.     

Waste in the Inner City: Asset or assault?

In an unequal society, undesirable wastes often end up in the poorest and least powerful communities, becoming part of the economic and environmental milieu of the inner city. Two contradictory responses to waste reflect contrasting theoretical paradigms. Some wastes can become assets in local economic development, creating incomes through scavenging, industrial jobs in recycling plants or new businesses using locally available materials. Other wastes are an assault on the community that receives them; toxic wastes, polluting facilities and industrial by-products often create local health hazards rather than development. Waste as an asset is consistent with the free market model of economics. The inner city, 'endowed' with waste materials and low-wage labour, has a comparative advantage in labour-intensive processing of materials that the rest of society has discarded. Waste as an assault on the community is consistent with a different model of environmental risk. Some by-products of industry are so hazardous that they should not be produced, or should be tightly regulated. Each model has a realm of validity; the balance between the two depends on which wastes are hazardous, and which are just ugly resources waiting to be discovered.     

Rural energy transitions in developing countries: a case of the Uttam Urja initiative in India

In most developing countries, at the household level, traditional burning of biomass or use of inefficient technologies for domestic applications like lighting is common, triggering concerns related to fuel or technology switching. The paper focuses on opportunities to promote cleaner energy options through development of value chains delivering improved energy efficiency and access in developing countries. We discuss the example of Uttam Urja, a field project involving the dissemination of photovoltaic lighting technologies in rural areas of India. We focus on the challenges of introducing radical innovations into the residential energy sector in developing countries. For the purpose of this paper the Uttam Urja project is conceptualized as an ‘experiment’ and analysed using the Strategic Niche Management (SNM) framework. The paper emphasizes that to effect socio-technical transitions to clean energy options on the ground, it is desirable to focus on technology customization and innovative financing to cater to the needs and concerns of end users.     

Possible options to slow down the advancement rate of Tarbela delta

The pivot point of delta in Tarbela dam has reached at about 10.6 km from the dam face which may result in blocking of tunnels. Tarbela delta was modeled from 1979 to 2060 using hec-6 model. Initially, the model was calibrated for year 1999 and validated for years 2000, 2001, 2002, and 2006 by involving the data of sediment concentration, reservoir cross sections (73 range lines), elevation-area capacity curves, and inflows and outflows from the reservoir. Then, the model was used to generate future scenarios, i.e., run-1, run-2, and run-3 with pool levels; 428, 442, and 457 m, respectively, till 2060. Results of run-1 and run-2 showed advancement to choke the tunnels by 2010 and 2030, respectively. Finally, in run-3, the advancement was further delayed showing that tunnels 1 and 2 will be choked by year 2050 and pivot point will reach at 6.4 km from the dam face.     

Applying habitat and population-density models to land-cover time series to inform IUCN Red List assessments

The IUCN (International Union for Conservation of Nature) Red List categories and criteria are the most widely used framework for assessing the relative extinction risk of species. The criteria are based on quantitative thresholds relating to the size, trends, and structure of species’ distributions and populations. However, data on these parameters are sparse and uncertain for many species and unavailable for others, potentially leading to their misclassification or classification as data deficient. We devised an approach that combines data on land-cover change, species-specific habitat preferences, population abundance, and dispersal distance to estimate key parameters (extent of occurrence, maximum area of occupancy, population size and trend, and degree of fragmentation) and hence predict IUCN Red List categories for species. We applied our approach to nonpelagic birds and terrestrial mammals globally (∼15,000 species). The predicted categories were fairly consistent with published IUCN Red List assessments, but more optimistic overall. We predicted 4.2% of species (467 birds and 143 mammals) to be more threatened than currently assessed and 20.2% of data deficient species (10 birds and 114 mammals) to be at risk of extinction. Incorporating the habitat fragmentation subcriterion reduced these predictions 1.5–2.3% and 6.4–14.9% (depending on the quantitative definition of fragmentation) for threatened and data deficient species, respectively, highlighting the need for improved guidance for IUCN Red List assessors on the application of this aspect of the IUCN Red List criteria. Our approach complements traditional methods of estimating parameters for IUCN Red List assessments. Furthermore, it readily provides an early-warning system to identify species potentially warranting changes in their extinction-risk category based on periodic updates of land-cover information. Given our method relies on optimistic assumptions about species distribution and abundance, all species predicted to be more at risk than currently evaluated should be prioritized for reassessment.     

Making sense of predator scents: investigating the sophistication of predator assessment abilities of fathead minnows

According to the threat-sensitive predator avoidance hypothesis, selection favors prey that accurately assess the degree of threat posed by a predator and adjust their anti-predator response to match the level of risk. Many species of animals rely on chemical cues to estimate predation risk; however, the information content conveyed in these chemical signatures is not well understood. We tested the threat-sensitive predator avoidance hypothesis by determining the specificity of the information conveyed to prey in the chemical signature of their predator. We found that fathead minnows (Pimephales promelas) could determine the degree of threat posed by northern pike (Esox lucius) based on the concentration of chemical cues used. The proportion of minnows that exhibited an anti-predator response when exposed to a predator cue increased as the concentration of the pike cue used increased. More surprisingly, the prey could also distinguish large pike from small pike based on their odor alone. The minnows responded more intensely to cues of small pike than to cues of large pike. In this predator–prey system small pike likely represent a greater threat than large pike.Communicated by A. Mathis