Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sarma, Arup Kumar
- Assessment of Polycyclic Aromatic Hydrocarbons and Heavy Metals Pollution in Soils of Guwahati City, Assam, India
Abstract Views :229 |
PDF Views:76
Authors
Momita Das
1,
Devendra Kumar Patel
2,
Arup Kumar Sarma
3,
Binode Kumar Baruah
4,
Sofia Banu
5,
Jibon Kotoky
1
Affiliations
1 Drug Discovery Lab, Division of Life Sciences, Institute of Advanced Study in Science and Technology, Paschim Boragaon, Guwahati 781 035, IN
2 Analytical Chemistry Department, Indian Institute of Toxicology Research, Lucknow 226 001, IN
3 College of Veterinary Sciences, Khanapara, Guwahati 781 022, IN
4 Department of Zoology, Cotton College, Guwahati 781 003, IN
5 Department of Bioengineering and Technology, Institute of Science and Technology, Gauhati University, Guwahati 781 014, IN
1 Drug Discovery Lab, Division of Life Sciences, Institute of Advanced Study in Science and Technology, Paschim Boragaon, Guwahati 781 035, IN
2 Analytical Chemistry Department, Indian Institute of Toxicology Research, Lucknow 226 001, IN
3 College of Veterinary Sciences, Khanapara, Guwahati 781 022, IN
4 Department of Zoology, Cotton College, Guwahati 781 003, IN
5 Department of Bioengineering and Technology, Institute of Science and Technology, Gauhati University, Guwahati 781 014, IN
Source
Current Science, Vol 110, No 12 (2016), Pagination: 2285-2292Abstract
Soil pollution in Guwahati city, Assam, India has become a major concern since the last few decades. To study the impact of automobile and industrial emission, distribution patterns of 16 different polycyclic aromatic hydrocarbons (PAHs) and eight heavy metals were investigated in the soil samples collected from 15 different sites. Higher concentration of total PAHs and heavy metals was found in the industrial areas compared to the high traffic areas. Differences in the pollutants observed between the polluted and nonpolluted sites, endorse that anthropogenic activities are the major cause of soil contamination.Keywords
Automobile and Industrial Emission, Heavy Metals, Polycyclic Aromatic Hydrocarbons, Soil Pollution.- Modelling-Based Approach of Analysing Diversion Impacts A Case Study of The Brahmaputra Basin
Abstract Views :216 |
PDF Views:69
Authors
Affiliations
1 Department of Civil Engineering, Indian Institute of Technology, Guwahati 781 039, IN
1 Department of Civil Engineering, Indian Institute of Technology, Guwahati 781 039, IN
Source
Current Science, Vol 119, No 6 (2020), Pagination: 1010-1018Abstract
Water resources management of the transboundary Brahmaputra river basin is challenging due to limited hydro-climatic information beyond the national boundary. The present study uses soil and water assessment tool (SWAT) to evaluate the likely impact on hydrology, due to water diversion activity. Adopting several scenarios of water diversion, simulation results of the SWAT hydrological model show a significant impact on streamflow along the downstream of a hypothetical reservoir at the Indo-China border. The monthly discharge at ‘Bhomoraguri’ reduces up to 15.77% against only 10% withdrawal. Besides, diversion would lead to a change in sediment discharge of the Brahmaputra.Keywords
Hydrological Model, River Basin, Streamflow, Water Diversion.References
- Heikman, S. K, Derry, L. A., Stedinger, J. R. and Duncan, C. C., A simple predictive tool for lower Brahmaputra River Basin monsoon flooding. Earth Interact., 2007, 11(21), 1.
- Maheshwari, R. and Sarma, A. K., Streamflow forecasting for Brahmaputra River: a time series and neural network approach. M Tech Dissertation, Indian Institute of Technology Guwahati, 2005.
- Wicaksono, A. and Kang, D., Nationwide simulation of water, energy, and food nexus: case study in Korea and Indonesia. J. Hydro Environ. Res., 2019, 22, 70–87.
- Akhtar, M. P., Sharma, N. and Ojha, C. S. P., Braiding process and bank erosion in the Brahmaputra River. Int. J. Sediment. Res., 2011, 26, 431–444.
- Apurv. T., Mehrotra, R., Sharma, A., Goyal, M. K. and Dutta, S., Impact of climate change on floods in the Brahmaputra basin using CMIP5 decadal predictions. J. Hydrol., 2015, 527, 281–291.
- Ghosh, S. and Dutta, S., Impact of climate change on flood characteristics in Brahmaputra basin using a macro-scale distributed hydrological model. J. Earth Syst. Sci., 2012, 121(3), 637–657.
- Gogoi, M. P., Gogoi, B., Hazarika, S. and Borgohain, P., GIS based study on fluvio-morphology of the river Brahmaputra in part of upper Assam, NE India. J. Frontline Res., 2012, 2, 114–121; ISSN: 2249-9903.
- Goswami, D. C., Brahmaputra River, Assam, India: physiography, Basin denudation and channel aggradation. J. Water Resour. Res., 1985, 21(7), 959–978.
- Sahoo, S. N. and Sreeja, P., Development of flood inundation maps and quantification of flood risk in an urban catchment of Brahmaputra River. ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A, 2015, A4015001.
- Sarma, J. N., Fluvial process and morphology of the Brahmaputra River in Assam, India. J. Geomorphol., 2005, 70, 226–256; doi:10.1016/j.geomorph.2005.02.007.
- Aktar, N. et al., Climate change impacts on water availability in the Brahmaputra basin. In Fifth International Conference on Water and Flood Management, 2015; www.researchgate.net/publication/ 281610569.
- Chen, L. et al., Influence of rainfall data scarcity on non-point source pollution prediction: implications for physically based models. J. Hydrol., 2018, 562, 1–16.
- Ploeg, M. J. V. D., Haldorsen, S., Leijnse, A. and Heim, M., Subpermafrost groundwater systems: dealing with virtual reality while having virtually no data. J. Hydrol., 2012, 475, 42–52; doi: 10.1016/j.jhydrol.2012.08.046.
- Tabari, H., Kisi, O., Ezani, A. and Talaee, P. H., SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment. J. Hydrol., 2012, 444, 78–89.
- Valdivieso, F. O. and Sendra, J. B., Semi-distributed hydrological model with scarce information: application to a large South American Binational Basin. J. Hydrol. Eng., 2014, 19(5), 1006–1014.
- Thu, H. N. and Wehn, U., Data sharing in international transboundary contexts: the Vietnamese perspective on data sharing in the Lower Mekong Basin. J. Hydrol., 2016, 536, 351–364.
- Biemans, H. et al., Impact of reservoirs on river discharge and irrigation water supply during the 20th century. J. Water Resour. Res., 2011, 47, W03509; doi:10.1029/2009WR008929.
- Li, B. S., Zhou, P. J., Wang, X. Y. and Zhu, L., Opportunities and eco-environmental influence of cascade hydropower development and water diversion projects in Hanjiang River Basin. J. Geol. Soc. India, 2013, 82, 692; https://doi.org/10.1007/s12594-013 0207-3.
- Zhu, X., Zhang, C., Yin, J., Zhou, H. and Jiang, Y., Optimization of water diversion based on reservoir operating rules: analysis of the Biliu River Reservoir, China. J. Hydrol. Eng., 2014, 19(2), 411–421.
- Talukdar, S. and Pal, S., Impact of dam on inundation regime of flood plain wetland of Punarbhaba River Basin of Barind tract of Indo-Bangladesh. J. Int. Soil Water Conserv. Res., 2017, 5(2), 109–121; https://doi.org/10.1016/j.iswcr.2017.05.003.
- Wang, W. et al., Dam construction in Lancang‐Mekong River Basin could mitigate future flood risk from warming‐induced intensified rainfall. J. Geophys. Res. Lett., 2017; https://doi.org/10.1002/2017GL075037.
- Zhang, Y., Xia, J., Liang, T. and Shao Q., Impact of water projects on River flow regimes and water quality in Huai River Basin. J. Water Resour. Manage., 2010, 24, 889–908; https://doi.org/ 10.1007/s11269-009-9477-3.
- Gassman, P., Reyes, M., Green, C. and Arnold, J. G., The soil and water assessment tool: historical development, applications, and future research directions. J. ASABE, 2007, 50(4), 1211–1250.
- Daggupati, P., Yen, H., White, M. J., Srinivasan, R., Arnold, J. G., Keitzer, C. S. and Sowa, S. P., Impact of model development, calibration, and validation decisions on hydrological simulations in West Lake, Erie Basin. J. Hydrol. Process., 2015, doi:10.1002/hyp.10536.
- Rosenberg, N. J., Epstein, D. J., Wang, D., Vail, L., Srinivasan, R. and Arnold, J. G., Possible impacts of global warming on the hydrology of the Ogallala aquifer region. J Climate Change, 1999, 42(4), 677–692.
- Srinivasan, M. S., Gerald‐Marchant, P., Veith, T. L., Gburek, W. J. and Steenhuis, T. S., Watershed‐scale modeling of critical source areas of runoff generation and phosphorus transport. J. Am. Water Resour. Assoc., 2005, 41(2), 361–375.
- Zhang, X., Srinivasan, R., Zhao, K. and Van Liew, M., Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model. J. Hydrol. Process, 2008; doi:10.1002/hyp.7152.
- Abbaspour, K. C. et al., Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol., 2007, 333, 413–430.
- Bekiaris, I. G., Panagopoulos, I. N. and Mimikou, M. A., Application of the SWAT (soil and water assessment tool) model in the Ronnea catchment of Sweden. Global NEST J., 2005, 7(3), 252–257.
- Fohrer, N., Haverkamp, S., Eckhardt, K. and Frede, H. G., Hydrologic response to land use changes on the catchment scale. J. Phys. Chem. Earth (B), 2001, 26(7–8), 577–582.
- Grizzetti, B., Bouraoui, F., Granlund, K., Rekolainen, S. and Bidoglio, G., Modelling diffuse emission and retention of nutrients in the Vantaanjoki watershed (Finland) using the SWAT model. Ecol. Model., 2003, 169, 25–38; doi:10.1016/S0304-3800(03)00198-4.
- Arnold, J. G. et al., SWAT: model use, calibration, and validation. J. ASABE, 2012, ISSN 2151-0032.
- Borah, D. K. and Bera, M., Watershed‐scale hydrologic and nonpoint‐ source pollution models: review of applications. Trans. ASAE, 2004, 47(3), 789–803.
- Arnold, J. G., Srinivasan, R., Muttiah, R. S. and Williams, J. R., Large-area hydrologic modeling and assessment: Part I. Model development. J. Am. Water Resour. Assoc., 1998, 34(1), 73–89.