Proceedings of the Brain Storming Session on “Water Resources of Eastern (West Bengal,Bihar and Jharkhand) and North-Eastern States of India”

Landslides are amongst the major disasters that have occurred in Karabük, Turkey. Due to the rapid increase in population movement to new habitats in urban areas, the need for engineering structures will increase. This condition has led to the construction of arts, cultural facilities and housing in insecure regions these days. The excavations to prepare the construction site, the external loads due to heavy structures and the changes in coverage of the earth surface are among the reasons for landslides in such areas. In this study, the landslides that occurred due to unsupported excavation for the construction of Karabük university stadium were analyzed using the three softwares like Plaxis, Geoslope and Slide. The study area is critical in terms of slope problems. Mass movement in the stadium occurred in high plasticity clay units containing sand and silt. For this reason, it is necessary to carry out detailed studies before the construction of engineering structures. The landslide considered in the study were analyzed using finite element (FE) analysis and slice method. These approaches are used for evaluating the stability of natural slope by considering a failure mechanism, which is known as the plastic limit condition. Regarding safety factors calculated using the different numerical solutions confirm that the results obtained are similar. In addition, the landslide area is close to the predicted simulation results.     

Development of a Model to Identify the Flow at any Location of an Ungauged Stream for Selection of Sites for Small Hydel in the Kalimpong Subdivision of West Bengal

Before the implementation of any small scale hydropower scheme, it is essential to determine the availability of sufficient and reliable amount of water to make the scheme economically viable. The sites for small hydels are generally located in the inaccessible tracts of hilly regions. This hinders the proper evaluation of the site. The investments in the small hydels are also comparatively very low as compared to a big hydel power plant; as such not much of fund can be allocated to the initial site suitability decisions. Once a best site in a stream having suitable head has been identified then proper and detailed survey of the site could be undertaken for the construction of the plant. The streams on which small hydel plants are planned are mostly ungauged, which again poses a problem in identifying the amount of flow at certain location. In this work an attempt has been made to create a model for identification of flow at any location of a watershed. The two components of flow that is the base flow and runoff has been taken into consideration for calculating the flow. The base flow has been identified by direct measurement and run off has been delineated using the distributed curve number method. Finally a regression has been done to come to a generalized equation for determination of total flow at any point of a watershed in the Kalimpong subdivision.     

Implementation of Sugeno: ANFIS for forecasting the seismic moment of large earthquakes over Indo-Himalayan region

The earthquake is known to be an unpredictable geophysical phenomenon. Only few seismic indicators and assumptions of earthquakes can be predicted with probable certainty. This study attempts to analyze the earthquakes over the Indo-Himalayan Border region including Bhutan, Bangladesh, Nepal, China and India during the period from 1995 to 2015. Bangladesh, Bhutan and China borders experience fewer earthquakes than Nepal and India border regions. However, Indo-China rim has inconsistency and vast range in its magnitude. Bangladesh though is a small country with respect to others, but it experiences earthquakes comparable to Bhutan. Nepal experiences highest number of earthquakes. In the last 20 years around 800 records have been observed with moment magnitude > 4.0 Richter scale, while very few records (around 10–12) have been observed for large earthquakes having moment magnitude > 6.0 Richter scale over the region. In this study adaptive neuro-fuzzy inference system has been implemented to assess the predictability of seismic moment associated with large earthquakes having the moment magnitude between 6.0 and 8.0 Richter scales using different combination of epochs, technique and membership functions. The Gaussian membership function with hybrid technique and 40 epochs is observed to be the reasonable model on the basis of the selected spatial and temporal scale. The forecast error in terms of root-mean-square error with the stopping criterion 0.001 has been observed to be 0.006 in case of large earthquakes (> 6.5 Richter scale), that is, forecast accuracy of 99.4%. The model bias of 0.6% may be due to inadequate number of large earthquakes having moment magnitude > 6.5 Richter scale over the region.     

Petrography and provenance of Upper Cretaceous – Palaeogene sandstones in the foreland basin system of Central Nepal

Sedimentary deposits of the Cretaceous to Miocene Tansen Group of Lesser Himalayan association in central Nepal record passive-margin sedimentation of the Indian Continent with direct deposition onto eroded Precambrian rocks (Sisne Formation onto Kaligandaki Supergroup rocks), succeeded by the appearance of orogenic detritus as the Indian continent collided with Asia on a N-dipping subduction zone. Rock samples from two field traverses were examined petrographically and through detrital zircon U–Pb dating, one traverse being across the Tansen Group and another across the Higher and Tethyan Himalaya (TH). The Tansen Group depositional ages are well known through fossil assemblages. We examined samples from three units of the Tansen Group (Amile, Bhainskati, and Dumri Formations). The Sedimentary petrographic data and Qt F L and Qm F Lt plots indicate their ‘Quartzose recycled’ nature and classify Tansen sedimentary rocks as ‘recycled orogenic’, suggesting Indian cratonic and Lower Lesser Himalayan (LLH) sediments as the likely source of sediments for the Amile Formation (Am), the TH and the Upper Lesser Himalaya (ULH) as the source for the Bhainskati Formation (Bk), and both the Tethyan and Higher Himalaya (HH) as the major sources for the Dumri Formation (Dm). The Cretaceous–Palaeocene pre-collisional Am is dominated by a broad detrital zircon U–Pb ~1830 Ma age peak with neither Palaeozoic nor Neoproterozoic zircons grains, but hosts a significant proportion (23%) of syndepositional Cretaceous zircons (121–105 Ma) would be contributions from the LLH volcanosedimentary arc, Gangdese batholith (including the Xigaze forearc). The other formations of the Tansen Group are more similar to Tethyan units than to Higher Himalaya Crystalline (HHC). From the analysed samples, there is a lack of distinctive evidence or HH detritus in the Tansen basin. Furthermore, the presence of ~23±1 Ma zircons from the HH unit suggests that they could not have been exposed until the earliest Miocene time.     

Modelling forest resilience in Hindu Kush Himalaya using geoinformation

Resilience is the capacity of an ecosystem to absorb disturbance and undergo change while maintaining its essential structure, functions, identity and feedbacks. The forests of the Hindu Kush Himalayan (HKH) region are vulnerable to both natural and anthropogenic changes, and the forest land conversion and degradation. Using satellite-derived tree canopy cover percent data and precipitation as the explaining variable, we studied the forest cover resilience in a geospatial framework employing the logistic regression and polynomial equation fitting. Out of the \(4.3\,\hbox {million km}^{2}\) geographical areas, \(873{,}650\,\hbox {km}^{2}\) (20.20%) was under the forest in 2000 and experienced loss of \(11{,}250\,\hbox {km}^{2}\) during 2000–2010. We could model the forest cover and treeless areas fairly than the scrub and grassland owing to the variation in precipitation pattern. The majority of the forest cover (59.3%) has been estimated to have less resilience owing to the receipt of <1650 mm of total annual precipitation, whereas only \(375\,\hbox {km}^{2}\) forest area could change to scrub that shows the least resilience. About 94.4% of treeless areas were estimated to be stable, while only 1% \((25{,}200\,\hbox {km}^{2})\) area could accommodate the grassland. The resilient forest areas estimated and observed, owing to the mapping and modelling protocols used in this study, shall be useful in conservation planning in the HKH region.     

Investigation of the principal vectors of wetland loss in Barind tract of West Bengal

In last few decades flood plain wetland loss in the Barind tract of West Bengal has become a serious threat to the hydro-ecological setup and livelihood security. Out of total study area (6790.38 km²), only < 1% is covered with riparian wetland of different kinds. Moreover there is no definite wetland map in meso and micro spatial scale which is crucial for managing wetland. Therefore, present paper attempts to systematic mapping of riparian wetland, monitoring, estimating loss and investigating associated vectors of wetland loss. The result demonstrates that since 1988–2016, about 65% wetland has either lost or at the verge of loss. Heavy anthropogenic pressures like reclamation of 4% wetland to agriculture land, 35–50% dwindling of peak flow in Tangon, Punarbhaba and Atreyee rivers, average 3–4 m lowering down of ground water level, delinking of Tista system from off shoots channel as mentioned are the prime vectors of wetland transformation. Such disappointing incidents may invite shrinking of valuable biodiversity rich natural capital and precious habitat.     

Lead isotopic ratios in source apportionment of heavy metals in the street dust of Kolkata,India

Street dust from 29 locations, in some of the busiest parts of north and south Kolkata, was analysed for heavy metal composition. The decreasing order of average metal concentrations (mg kg^?1) found was Mn (390) > Pb (380) > Zn (300) > As (96) > Cu (61) > Cr (40) > Co (13) > Ag (2.1). The heavy metal composition of the Kolkata dust was compared with reported data for other cities. Enrichment factors of Pb and As were high. Multivariate statistical analysis of the heavy metals and analysis of lead isotopic ratios of the dust revealed a predominant anthropogenic influence in the contamination. The range of lead isotopic ratios found in the dust was between 0.8789 and 0.8998 with a mean Pb concentration of 383 mg kg^?1. The three Pb isotope plots of street dust, diesel and rainwater clustered linearly, while coal did not fit into this trend. The highest 207/206 lead isotopic ratio obtained was from diesel with a mean value of 0.9015, followed by the rainwater sample. The application of the binary mixing model showed that about 66.86% of lead contamination in the street dust was sourced from the atmosphere. The two components extracted by the principal component analysis explained 64.34% of the total variance. Vehicular and industrial emissions appeared to be an important contributor to the accumulation of heavy metals in the dust. The health risk assessment study of the dust indicated carcinogenic risk associated with As and Cr.     

Bioslurry phase remediation of petroleum-contaminated soil using potato peels powder through biosurfactant producing <Emphasis Type="Italic">Bacillus licheniformis</Emphasis> J1

Soil contamination due to petroleum oil has become significant ecological issue due to their toxicity. Thus, detoxification of petroleum-contaminated soil is of pressing concern. In this study, bench-scale bioslurry experiment was carried for remediation and detoxification of petroleum-contaminated soil. Potato peels powder was used as organic nutrient source in the slurry for biostimulation purpose, while biosurfactant producing Bacillus licheniformis strain J1 identified through molecular approach is used as inocula in the slurry treatment. The strain J1 has the capability to utilized petroleum as carbon source, but its efficiency increase in the presence of potato peels powder. Bioslurry phase experiment was categorized into four groups based on the treatment, such as B0 (soil + H₂O), B1 (soil + petroleum oil + H₂O), B2 (soil + petroleum oil + strain J1 + H₂O), B3 (soil + petroleum oil + potato peels powder + strain J1 + H₂O). After 90 days of treatment, the soils from each treatment were subjected to toxicity analysis using earth worm acute toxicity test and seed germination inhibition assay. The results suggest that in B1 treatment the toxicity effect on germination and seedling growth is highest, while decrease in effect was observed in case of B2 and B3 treatment. Results of earthworm acute toxicity test revealed that 30 ± 5% earthworm survival rates was reported in B1 treatment, whereas 71.6 ± 2.8 and 78.3 ± 2.8% was observed in B2 and B3 treatment, respectively. Hence, the result of the present study signifies that bioslurry phase treatment can be effectively and commercially used for detoxification petroleum-contaminated wastelands.     

Impact Assessment of GIS Based Land Resource Inventory Towards Optimizing Agricultural Land Use Plan in Dandakaranya and Easternghats Physiographic Confluence of India

GIS based land resource inventory (LRI) with fine resolution imagery is considered as most authentic tool for soil resource mapping. Soil resource mapping using the concept of soil series in a smaller scale limits its wide application and also its impact assessment for crop suitability is controversial. In this study, we attempted to develop LRI at large scale (1:10,000 scale) at block level land use planning (LUP) in Dandakaranya and Easternghats physiographic confluence of India. The concept of land management unit was introduced in this endeavour. The impact assessment of LRI based LUP was exercised to develop efficient crop planning with best possible management practices. The study area comprised six landforms with slope gradient ranging from very gentle (1–3%) to steep slopes (15–25%). The very gently sloping young alluvial plains occupied maximum areas (19.95% of TGA). The single cropped (paddy) land appears to dominate the land use systems (40.0% of TGA). Thirty three landscape ecological units were resulted by GIS-overlay. Eighteen soils mapping units were generated. The area was broadly under two soil orders (Inceptisols and Alfisols); three great group (Haplaquepts, Rhodustalfs and Endoaquepts) and ten soil series. Crop suitability based impact assessment of LRI based LUP revealed that average yield of different crops increased by 39.2 and 14.5% in Kharif (rainy season) and Rabi (winter) seasons respectively and annual net returns by 83.4% for the cropping system, compared to traditional practices. Productivity and net returns can be increased several folds if customized recommended practices are adopted by the farmers. Informations generated from the study emphasized the potentiality of LRI towards optimizing LUP and exhibited an ample scope to use the methodology as a tool to assess in other physiographic regions in India and abroad.