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In the current study, flood risk assessment of densely populated coastal urban Surat City, on the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic model-based flood hazard and often neglected socioeconomic vulnerability. A two-dimensional (2D) hydrodynamic (HD) model was developed using physically surveyed topographic data and the existing land use land cover (LULC) of the study area (5248 km2). The satisfactory performance of the developed model was ascertained by comparing the observed and simulated water levels/depths across the river and floodplain. The 2D HD model outputs with geographic information system (GIS) applications were further used to develop probabilistic multiparameter flood hazard maps for coastal urban city. During a 100-year return period flood (Peak discharge = 34,459 m3/s), 86.5% of Surat City and its outskirt area was submerged, with 37% under the high hazard category. The north and west zones are the worst affected areas in Surat City. The socioeconomic sensitivity and adaptive capacity indicators were selected at the city's lowest administrative (ward) level. The socioeconomic vulnerability was evaluated by employing the robust data envelopment analysis (DEA) technique. Fifty-five of 89 wards in Surat City, covering 60% of the area under the jurisdiction of the Municipal Corporation, are highly vulnerable. Finally, the flood risk assessment of the city was conducted using a bivariate technique describing the distinctive contribution of flood hazard and socioeconomic vulnerability to risk. The wards adjoining the river and creek are at high flood risk, with an equal contribution of hazard and vulnerability. The ward-level hazard, vulnerability, and risk assessment of the city will help local and disaster management authorities to priorities high risk areas while planning flood management and mitigation strategies. [Display omitted] • A 2D HD model has been developed for the lower Tapi basin, India, and its performance is evaluated from past flood events. • Probabilistic multiparameter flood hazard obtained through 2D HD model output and GIS application. • Ward-level socioeconomic vulnerability is computed using census-based indicators and the robust DEA technique. • A bivariate risk technique is used to develop flood risk maps by integrating flood hazard and socioeconomic vulnerability. • Developed flood risk maps helpful in identifying and prioritizing high risk areas. [ABSTRACT FROM AUTHOR]

Technical progress is one of the best strategies to meet the dual challenges of economic growth and carbon emissions control in developing countries such as India. In this research, an empirical study of India's carbon emissions was conducted to understand the effects of various technical factors on total and industrial carbon emission intensity. Ten driving factors of carbon emission in 56 sectors of India are decomposed by combining Index Decomposition Analysis (IDA) and Production-theoretical Decomposition Analysis (PDA). The results reveal that (i) the pure carbon-reduction technical efficiency and the scale efficiency of carbon-reduction technology in India have not improved, and the technical progress of pure carbon-reduction and the scale efficiency of carbon-reduction technology has played a positive role in carbon emission. (ii) The scale efficiency of pure energy-saving technology progress is the most important factor in restraining carbon emissions, and pure energy-saving technology progress has had an overall promoting effect. However, the effect of energy-saving technology progress is not as effective as the scale efficiency through improving energy technology progress. (iii) Per capita value added and population size are powerful factors that promote carbon emissions. This study also makes a targeted analysis of the driving factors of carbon emissions in different industries, which provide a reference for the process of carbon-reduction in different industries. [Display omitted] • Investigating the effects of various technical factors on total carbon emission and carbon emission intensity. • Combining Index Decomposition Analysis and Production-theoretical Decomposition Analysis. • Ten driving factors of carbon emission in India's 56 sectors were decomposed. • Technique factors have not effectively offset Indian carbon emission. • The effect of technological progress on carbon efficiency needs to be improved. [ABSTRACT FROM AUTHOR]

In the hard rock areas of India, overdraft of groundwater has led to negative externalities. It increased costs of groundwater irrigation and caused welfare losses. At the same time informal groundwater markets are slowly emerging and are believed to improve water distribution and to increase water use efficiency in the irrigation sector. These claims are evaluated in this study. For this purpose data was collected from a sample containing three different groups of water users: water sellers, water buyers and a control group of non-traders. First the socio-economic characteristics of these groups are compared. Then the efficiency of water use of the three groups is studied using Data Envelopment Analysis. The results indicate that groundwater markets provide resource poor farmers access to irrigation water, giving them the opportunity to raise their productivity. Water buyers are furthermore shown to be most efficient in their water use, while water sellers are also shown to be more efficient than the control group. The differences in efficiency between the groups are statistically significant. The demonstrated potential of groundwater markets to improve the efficiency of water use and to increase equity in resource access should be taken into account by the Indian government when deciding on their attitude towards the emerging groundwater markets. [Copyright &y& Elsevier]