Transitioning from Wired City to Super City: a review of selected ‘Smart City’ case studies

The contemporary technological advancements of the twenty-first century are introducing paradigm shifts in every aspect of life. The “Smart City” concept has also brought the latest emerging technologies and their applications to the urban areas. The integration of Nano-technological devices collecting and transmitting data coupled with the availability and penetration of high-speed internet will only raise this potential by providing an easy way to receive and send real-time data more swiftly. The devices could also be connected with each other via the internet under the Internet of Things (IoT), making it possible to establish the machine to machine (M2M) communication between them. This large amount of urban Big Data can also deploy machine learning assisted techniques to ensure robust and precise urban analysis for getting significant insights and desired simulations ensuring the proper deployment as well as utilization of the phenomenon of Urban Intelligence. As the cities are entitled to become “Smart” in due course of time, these Information and Communication Technologies (ICTs) will play a major role in improving the efficiency and effectiveness of urban services and management. Due to their highly versatile and adaptable nature, these technologies can be linked with different components of Smart City thereby enhancing the efficiency and capability of the existing urban systems. This paper discusses the emerging concept of the Internet of Things (IoT) and other associated technologies within the context of contemporary urban scenarios through relevant case studies. It further presents crucial insights based on the influence of these technologies as well as their associated challenges while also exploring the implications of the concepts like ‘Super City’ on the cities of tomorrow.

     

Impact of seismic factors on landslide susceptibility zonation: a case study in part of Indian Himalayas

Landslides are one of the most widespread natural hazards in high mountain terrains such as the Himalayas, which are one of the youngest tectonically and seismically active mountain ranges in the world. The crustal movements along the longitudinal thrusts and transverse faults give rise to earthquakes and in turn initiate landslides in the region. In fact, in addition to various static factors causing landslides, earthquakes are one of the major causes of landslides. It is thus imperative to incorporate seismic factor also while carrying out landslide susceptibility zonation map preparation in a seismically active areas like Garhwal Himalayas. In this paper, a study on the effect of earthquakes on landslide susceptibility zonation has been demonstrated by taking Chamoli earthquake as an example.     

Feasibility study of waste (d) potential: co-digestion of organic wastes,synergistic effect and kinetics of biogas production

The present study investigated the synergistic effect of co-digesting food and green waste from institute campus for enhanced biogas production in different ratios in batch tests (37 ± 1 °C, 90 rpm, 45 days). The results showed that blending improved the biogas production significantly, with highest biogas yield (660 ± 24 mL g^?1 volatile solids) that was achieved at 75:25 of food and green waste ratio on volatile solids basis. The yield was 1.7- and 1.9-fold higher than the mono-digestion of food and green waste (370 ± 34; 342 ± 36 mL g^?1 volatile solids), respectively. The increase in biogas production may be attributed to optimum carbon to nitrogen ratio resulting in higher yield. The addition of TiO₂ nanoparticles showed virtually no effect on biogas production. Characterization was carried out to gain an insight of feedstocks. Modified Gompertz and logistics models were applied for kinetic study of biogas production where modified Gompertz model showed goodness of fit (R ² = 0.9978) with the experimental results.     

Inclusion of earthquake strong ground motion in a geographic information system-based landslide susceptibility zonation in Garhwal Himalayas

Garhwal Himalayas are seismically very active and simultaneously suffering from landslide hazards. Landslides are one of the most frequent natural hazards in Himalayas causing damages worth more than one billion US$ and around 200 deaths every year. Thus, it is of paramount importance to identify the landslide causative factors to study them carefully and rank them as per their influence on the occurrence of landslides. The difference image of GIS-derived landslide susceptibility zonation maps prepared for pre- and post-Chamoli earthquake shows the effect of seismic shaking on the occurrence of landslides in the Garhwal Himalaya. An attempt has been made to incorporate seismic shaking parameters in terms of peak ground acceleration with other static landslide causative factors to produce landslide susceptibility zonation map in geographic information system environment. In this paper, probabilistic seismic hazard analysis has been carried out to calculate peak ground acceleration values at different time periods for estimating seismic shaking conditions in the study area. Further, these values are used as one of the causative factors of landslides in the study area and it is observed that it refines the preparation of landslide susceptibility zonation map in seismically active areas like Garhwal Himalayas.     

Toxicity assessment of popular baby skin care products from Indian market using microbial bioassays and chemical methods

Specialized cosmetic products for infant use are gaining a lot of popularity in the Indian as well as global market, as these products have become an inseparable part of modern urban lifestyle. Baby cosmetics are available in a wide range. They claim to be milder than similar products meant for adult use. However, these products need to be checked for their safety through a battery of assays based on biological systems, along with the ones based on chemical and physical protocols. This study attempts to test different baby cosmetic products using one prokaryotic and one eukaryotic assay system. Chemical protocols prescribed by cosmetic product controlling organizations of India are also used to estimate the quantity of harmful heavy metals like arsenic, lead and cadmium if present in the samples. Few of the products tested have shown significant toxicity as well as heavy metal content. The results hold a lot of importance keeping in mind the extra sensitivity of an infant body. It is further suggested that studies using cell based and in vivo test systems should be done to confirm the findings.     

Trace elements and their variation along seam profiles of certain coal seams of Middle and Upper Barakar formations (Lower Permian) in East Bokaro coalfield,district Hazaribagh,Bihar, India

Trace-element data are presented for the first time for any coal seam in India, across a full working section, based on systematically collected channel samples of coal, together with their maceral composition. The trace-element variation curves along the seam profile are presented together with group maceral compositions of Kargali Bottom, Kargali Top, Kargali, Kathara, Uchitdih, Jarangdih Bottom, Jarangdih, and Jarangdih Top seams, East Bokaro coalfield. The Kathara and Uchitdih seams have also been sampled at two other localities and lateral variation in data in their trace-element and maceral compositions is also evaluated.The East Bokaro coals have: Ba and Sr > 1000 ppm; Mn < 450 ppm; Zr < 400 ppm; Ni and V < 250 ppm; Cr < 185 ppm; La < 165 ppm; Cu, Nb, and B < 125 ppm; Pb, Co and Y < 75 ppm; Ga, Sn, Mo, In and Yb < 15 ppm; Ag 2 ppm; and Ge 7 ppm. Petrographically, the coals are dominant in vitrinite (33–97%), rare in exinite (<15%), and semifusinite (0.8–49%) is the dominant inertinite maceral, with variable mineral and shaly matter (11–30%), graphic representation of trace elements versus vitrinite, inertinite, and coal ash indicates the affinity of (a) vitrinite with Cu, Ni, Co, V, Ga and B; (b) inertinite with Nb and B; and (c) coal ash (mineral matter) with Pb, Cu, Ni, La, Mn and Y; Ba, Cr, Sr, Zr, Cu and Ni are of organic as well as inorganic origins.The trend of the variation patterns and average compositions of the different seams are shown to be distinct and different. The variation along the same profile is inferred to be different for different seams of the coalfield.Trace-element data for certain coals of seams from different coalfields in the Gondwana basins of India are presented. There is a wide difference for each of these basins with respect to certain elements. This is suggestive of the proportions of Cu, Ni, V, Y, Ba, Sr, Cr, B, Zr and Ag, characterizing the different Gondwana Basins.     

Water logging and drainage Assessment in Ravi-Tawi irrigation command (J&K) using remote sensing approach

Water logging is one of the major land degradation processes that restricts the economic and efficient utilisation of soil and land resources in command areas. Since independence, various irrigation schemes, for providing water for agriculture and drinking have been taken up by Central and State agencies in India. In most of these schemes very little efforts have been made for proper drainage. Obstruction of natural drainage by way of construction of roads, railways, aerodrome, various structures, etc., causes the ponding of monsoon runoff on the upstream of the structures. Periodic monitoring of command areas helps in analysing the extent of water logging, and should help in taking suitable remedial measures. Remote sensing and GIS are powerful tools, which could be effectively used to study the dynamic behaviour of waterlogged areas. In this study, waterlogged and salt-affected areas have been estimated in the command area of Ravi-Tawi Irrigation Complex in Jammu region. About 14% of the total command area is water logged/ salt-affected. Being a new project, this area is likely to grow in future when the project runs with its installed capacity, and as the distributaries expand in the command area. Plausible causes of water logging have been discussed, and remedial measures suggested for reclaiming operations.     

Chemico-petrographic studies of some lignite core samples from Kalol oilfield,Cambay Basin,Gujarat, Western India

The Kalol oilfield in the Cambay graben, Gujarat. western India, is known to contain thick seams of lignite in the Kalol Formation (Middle Eocene), overlying the oil-bearing Cambay Black Shale (Lower Eocene), at depths between 1110 m and 1500 m. The Kalol Formation occurs in the northern portion of the Cambay Basin as a wedge-shaped sequence of regressive and transgressive marine environments, the lignite being confined to the former phase.Chemically, the Kalol lignite is characteristically low in moisture (4.45–4.64%), quite low in ash (1.67-10.82%) and high in volatiles (43.56–55.25%). C is 72.39–77.18%, H is 4.47–5.93%, N is 1.16–1.58%, O is 15.73–18.62%, and S is 0.32–0.86%. According to Seyler's classification, the Kalol lignite can be classified as belonging to rank (a) lower than lignitous, (b) perlignitous, (c) ortholignitous, (d) metalignitous, and (e) bituminous. According to North American (ASTM) classification, utilising data on volatiles and R_{m oil}, the lignite belongs to lignite, sub-bituminous C and low volatile bituminous rank.Petrographically, the Kalol lignite is composed of huminite (50–81%), liptinite (1–16%), and inertinite (6–32%). Inertinite comprises mainly sclerotinite as plectenchyma, fusinite being absent. Exsudatinite is quite common. On the basis of microlithotype, the lignite comprises textile (1–13%), detrite (19–69%), liptitextite (1–10%), liptidetrite (4–16%), inertidetrite (1–25%), detrinertite (3–21%), and inertite (5–26%), with shale (5–12%). R_{m oil} varies from 0.30 to 0.40. The bituminous coal sample is high in shaly matter (53%) and composed of vitrinite (16%) and sclerotinite (29%), the former showing R_m 1.80.These studies indicate that the chemical and petrographic constitution of the lignite is favourable for underground gasification.     

Bianchi Type I string dust cosmological model with magnetic field in general relativity

Bianchi Type I string dust cosmological models in presence and absence of magnetic field following the techniques used by Letelier and Stachel, are investigated. To get the deterministic solution, we have assumed that σ ₁¹ is proportional to the expansion (θ) where σ ₁¹ is the eigen value of shear tensor (σ _i ^j ) and which leads to A=N(BC)⁻ⁿ , n>0 where A,B,C are metric potentials and , N and ℓ are constants. The behaviour of the models in presence and absence of magnetic field are discussed. The other physical and geometrical aspects of the model are also discussed.