Sustainable development and automation: are they compatible?

Summary The ecological crisis is a result of modern industrial development and its negative impacts which are not conducive to the co-existence of essential diversities in the ecosystem. One of the major trends in present day industry is to move towards computer-based automation. This article discusses the compatibility of this trend towards automation with sustainable development which is regarded as the only viable choice to overcome the ecological crisis. After discussing the present day concepts of sustainable development, automation and the economic impact of automation on society, this paper argues that computer-based automation in industry is not conducive to sustainable development. It is also argued that the spread of automation will decrease the capability of mankind as a whole to implement environmentally sustainable programmes. Finally, the man-nature relationship which is the philosophical basis of the industrial paradigm is discussed. As pointed out by some comparative philosophers, the basic concept of human superiority and separation from nature has to change in order to have a harmonious integrity of life forms as complementary realities in this phenomenal existence.Satyabrata Pradhan is a Post Doctoral Research Fellow of the Department of Mechanical Engineering at the University of British     

Carbon isotopic and biochemical fingerprints of sedimentary organic matter in lower Narmada and Tapi rivers,north-west coast of India

Sources of organic matter (OM) in lower Narmada and Tapi river-estuaries were examined using organic carbon to nitrogen ratio (C_org/N), stable carbon isotope ratio (δ¹³C_org) and lignin phenol biomarkers. The signature of lower C_org (av. 0.50%) and higher δ¹³C_org (av. –20.3‰) in Narmada and, higher C_org (av. 0.85%) and lower δ¹³C_org (av. –22.8‰) in Tapi highlight the difference in OM characteristics of both systems, nevertheless they flow adjacent to each other. The OM in Tapi was predominated by fresh plant tissues, as indicated by higher Λ8?=?1.2–3.2?mg/100?mg C_org, lower Ad/Al_v?=?0.22–0.46 and lower LPVI?=?17–23. The plant OM present in the sediments of Narmada was previously degraded and mixed with soil. The OM contribution from algae was restricted to estuarine stations in both the rivers, which was ～50% in Narmada and ～35% in Tapi. The contribution of OM from fresh vascular plant was higher (20% to 63%) in Tapi than Narmada (2% to 35%). This study illustrated the benefits of using lignin phenols along with C_org/N and δ¹³C_org to identify the potential OM sources in two large river–estuary systems of India, which highlighted the complex interaction of natural and anthropogenic processes acted on the terrestrial OM compositions.     

Appraising efficacy of existing and advanced technologies for the remediation of beta-blockers from wastewater: A review

Environmental Science and Pollution Research - The discharge of emerging pollutants, such as beta-blockers (BB), has been recognized as one of the major threats to the environment due to the...     

Utilization of agricultural waste biomass and recycling toward circular bioeconomy

Environmental Science and Pollution Research - The major global concern on energy is focused on conventional fossil resources. The burning of fossil fuels is an origin of greenhouse gas emissions...     

Examining the effectiveness of low-carbon strategies in South Asian countries: the case of energy efficiency and renewable energy

Environment, Development and Sustainability - This paper examines the impact of energy efficiency (EE) and renewable energy (RE) on carbon emissions, using a panel data of South Asian countries...     

Energy and environment - An introduction

Environmental Science and Pollution Research -     

Exploring Persistence in Streamflow Forecasting

In this study, the authors explore three persistence approaches in streamflow forecasting motivated by the need for forecasting model skill evaluation. The authors use streamflow observations with 15 min resolution from the year 2008 to 2017 at 140 United States Geological Survey streamflow gauges monitoring the streams and rivers over the State of Iowa. The spatial scale of the basins ranges from about 7 to 37,000 km². The study explores three approaches: simple persistence, gradient persistence, and anomaly persistence. The study shows that persistence forecasts skill has strong dependence on basin scales and weaker but non‐negligible dependence on geometric properties of the river network for a given basin. Among the three approaches explored, anomaly persistence shows highest skill especially for small basins, under about 500 km². The anomaly persistence can serve as a benchmark for model evaluations considering the effect of basin scales and geometric properties of river network of the basin. This study further reiterates that persistence forecasts are hard‐to‐beat methods for larger basin scales at short to medium forecast range.     

Characterization and seasonal distribution of microplastics in the nearshore sediments of the south-east coast of India,Bay of Bengal

• MPs in the coastal sediment of south-east coast of India are quantified. • High MPs are recorded near river mouths and nearshore regions. • Polyethylene and polypropylene are the major polymers observed. • MPs contamination is higher than the values reported elsewhere. In view of increasing Microplastics (MPs) contamination in the marine environment and dearth of baseline data, a study was conducted on the abundance, characterization, and seasonal distribution of MPs in the nearshore sediments of the south-east coast of India. Sediment samples (n = 130) were collected at a distance of 1 km and 10 km from the shore region at varying depths (8–45 m) along the Chennai to Puducherry coast (165 km stretch), representing two seasons, i.e., south-west (July 2019 and July 2020) and north-east (January 2020) monsoons. The average abundance of MPs at the 22 offshore sites along the Chennai to Puducherry coast varied from 9±4.3 to 19±12.9 particles/50 g dry weight, in July 2019 and January 2020, respectively. July 2020 had an average abundance of 10±4.5 particles/50 g dry weight. Spatially, high levels of MPs were found at 1km stations and transects in proximity to the river inlets, and temporally, the north-east month recorded the maximum concentration. The dominant morphotype was the filament, and the major polymers were polyethylene and polypropylene. Scanning Electron Microscope (SEM) images revealed the surface irregularity and degradation of MPs due to weathering. The study highlights that high sediment contamination by MPs occurs during heavy rainfall and accumulates closer to river inlets. Eventually, this study suggests that appropriate management of plastic wastes on the landside will reduce MP contamination in the marine environment.