Comparison of Ecological Risk among Different Urban Patterns Based on System Dynamics Modeling of Urban Development

In this study an urban development model was developed, based on system dynamics, in order to compare four urban layout patterns in terms of their effects on landscape ecology risk and environmental pollution. The four patterns are centralized urban model, green corridor urban model, decentralized urban model (satellite city model), and resource-based city model. Landscape ecology risk assessments based on simulation results show that the decentralized urban model is superior to the centralized urban model in terms of long-term landscape ecological development and environmental protection. The study also analyzed the relationships between the patch spacing index and the evaluation index

Distinctively Dysfunctional: ‘State Capitalism 2.0’ and the Indian Power Sector

State intervention in India has persisted but has proved far from immune to critiques of traditional dirigisme. An examination of the power sector shows that waves of reforms since 1991 have together created a hybrid and regionally differentiated state-market system. Blurring the public-private boundary, this reinvented “state capitalism 2.0” displays both refurbished modes of intervention and new governance arrangements with private players. Nonetheless, as the power sector’s continually dismal condition suggests, this state-capitalist hybrid has not (yet) provided a coherent alternative to older dirigisme or the Anglo-American mode of “deregulatory” liberalization. Instead, between 1991 and 2014 its ad hoc, layered emergence generated distinctive forms of dysfunction. Coupled with competitive politics, its ever-increasing institutional complexity rendered it internally incoherent and vulnerable to rent seeking on multiple fronts. Power sector evidence suggests that state intervention in India has remained simultaneously indispensable and dogged by persistent administrative and financial difficulties. Examining its internal institutional transformations helps to explain the apparently contradictory nature of the contemporary Indian state: at once business-friendly, populist, and often underperforming

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Not AvailableRice is the principal crop during kharif (rainy) season in eastern India, which occupies 26.8 M ha accounting for 63.3% of the total rice-growing areas of the country. However, this area is not fully utilized for crop production in the subsequent rabi (post-rainy) season and kept fallow due to a number of biotic, abiotic and socio-economic constraints. If this rabi fallow area can be effectively utilized, it will help in improving the economy of this region, which is yet to be benefited from the green revolution. The objectives of the present study include: (i) delineation of rabi fallow areas of eastern India using remote sensing and GIS technique; (ii) characterization of soil resources of the rabi fallow regions, and (iii) suggesting site-specific crop planning for this region. It was estimated that about 12.54 M ha area in the rabi season is left fallow in eastern India. The soil properties like soil texture, soil moisture retention at field capacity and permanent wilting point, saturated hydraulic conductivity, soil pH, electrical conductivity, soil organic carbon, etc. were determined at the representative profiles distributed in different agro-ecological sub-regions (AESRs) of this region and mapped in a GIS environment. Using water balance studies, site-specific crop planning based on available residual soil moisture has been suggested. In most of the AESRs, pulses and oilseeds like green gram, black gram, Sesamum and mustard can be grown successfully on residual soil moisture content. Crops which suffer from water deficit during maturity stages can also be grown during rabi season with one or two supplemental irrigations, wherever possible. If the site-specific constraints to crop production can be alleviated and these fallow lands can be brought under cultivation through proper crop planning as suggested, poverty in this resourceful region can be eradicated to a great extent.Not Availabl

Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters

The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. This study evaluates the retrieval of soybean biophysical variables of leaf area index, leaf chlorophyll content, canopy chlorophyll content, and equivalent leaf water thickness from proximal reflectance data integrated broad bands corresponding to moderate resolution imaging spectroradiometer, thematic mapper, and linear imaging self scanning sensors through inversion of the canopy radiative transfer model, PROSAIL. Three different inversion approaches namely the look-up table, genetic algorithm, and artificial neural network were used and performances were evaluated. Application of the genetic algorithm for crop parameter retrieval is a new attempt among the variety of optimization problems in remote sensing which have been successfully demonstrated in the present study. Its performance was as good as that of the look-up table approach and the artificial neural network was a poor performer. The general order of estimation accuracy for para-meters irrespective of inversion approaches was leaf area index > canopy chlorophyll content > leaf chlorophyll content > equivalentleaf water thickness. Performance of inversion was comparable for broadband reflectances of all three sensors in the optical region with insignificant differences in estimation accuracy among them