Academic literature on the topic 'Rivers Lish and Gish'
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Journal articles on the topic "Rivers Lish and Gish"
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Badekar, Ananda, Uttaran Goswami, and Sweta Samant. "Architecture and Source of Alluvial Fan deposits of the Gish and Lish Rivers, Sikkim-Darjeeling Himalaya, India." Journal of The Indian Association of Sedimentologists 38, no. 1 (June 30, 2021): 55–64. http://dx.doi.org/10.51710/jias.v38i1.136.
Full textAbstract:
The Gish and Lish rivers are flowing through Higher Himalaya, Lesser Himalaya, Sub Himalaya and Quaternary Alluvium of the Sikkim- Darjeeling region. These thrust bounded tectonostratigraphic zones are comprised of different lithologies. Comparative sedimentological studies of the sediments of these rivers were undertaken to understand landforms developed by these rivers and source to sink relationships of these sediments. The Gish River fans are broad and wider as compared to the narrow and linear shaped fans of the Lish River. Textural analysis of these fan sediments revealed high energy conditions of deposition within these rivers. The petrographic analysis of the Gish River sediments shows dominance of Quartz (Qt63%F4% L33%) in the framework components, while the Lithic metamorphic fragments (Lm62% LV0% Ls 38%) show dominance over Lithic sedimentary fragments. This is also supplemented by the dominance of Quartz Polycrystalline grains (Qp62% Lv0% Ls38%) over Lithic sedimentary fractions. The Lish river sediments show dominance of Lithic fragments (Qt39% F2% L59%) in the framework components, while the Lithic sedimentary fragments (Lm44% Lv0% Ls56%) show dominance over lithic metamorphic fragments. This is also supplemented by Lithic sedimentary fractions (Qp41% Lv0% Ls59%) dominance over the Quartz Polycrystalline grains. These results of Quartz dominance in the Gish River sediments indicate higher contribution is from gneissic and metamorphic sources. While, Lithic dominance in the Lish River sediments infers higher contribution from sedimentary and metamorphic sources.
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Nhan, Nguyen Thị, Nguyen Xuan Tung, Bui Thi Bao Anh, and Nguyen Xuan Thanh. "APPLICATION OF REMOTE SENSING, GIS AND DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS) TO ASSESS THE CHANGES OF THE RED RIVER BANK IN THE AREA FROM SON TAY TO GIA LAM (HANOI)." Tạp chí Khoa học và Công nghệ Biển 18, no. 3 (November 3, 2018): 269–77. http://dx.doi.org/10.15625/1859-3097/18/3/11028.
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In recent years, some geological hazards relating to the change of channel such as accretion, erosion and landslide of river bank on the Red River bank have occurred more frequently. In this paper, the trend and rate of the change of the Red River bank in the area from Son Tay to Gia Lam (Hanoi) were shown by using remote sensing images of the period 2007–2016, geographic information system (GIS) and Digital shoreline analysis system. The results indicate that bank erosion mainly occurred along the both sides of the Red River bank with the average erosion rate ranging from 1.5 m/yr to 3m/yr. The strongest erosion was along the left river bank in Me Linh commune, Dong Anh district. In Son Tay commune, Phuc Tho district, Vinh Phuc province, some signals of erosion process were also recorded. The accretion process had been occurring in the middle part of the river slowly with the accretion rate of 0.8–1.4 m/yr. In the result, accretion zones were formed and they were aggregated into alluvial flats. In the future, the Red river bank will continue to be changed, erosion and landslide of the channel would be considered as the major hazards in this area.
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Shukla, S., M. V. Khire, and S. S. Gedam. "Monitoring Land Use/Land Cover Changes in a River Basin due to Urbanization using Remote Sensing and GIS Approach." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 949–53. http://dx.doi.org/10.5194/isprsarchives-xl-8-949-2014.
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Faster pace of urbanization, industrialization, unplanned infrastructure developments and extensive agriculture result in the rapid changes in the Land Use/Land Cover (LU/LC) of the sub-tropical river basins. Study of LU/LC transformations in a river basin is crucial for vulnerability assessment and proper management of the natural resources of a river basin. Remote sensing technology is very promising in mapping the LU/LC distribution of a large region on different spatio-temporal scales. The present study is intended to understand the LU/LC changes in the Upper Bhima river basin due to urbanization using modern geospatial techniques such as remote sensing and GIS. In this study, the Upper Bhima river basin is divided into three adjacent sub-basins: Mula-Mutha sub-basin (ubanized), Bhima sub-basin (semi-urbanized) and Ghod sub-basin (unurbanized). Time series LU/LC maps were prepared for the study area for a period of 1980, 2002 and 2009 using satellite datasets viz. Landsat MSS (October, 1980), Landsat ETM+ (October, 2002) and IRS LISS III (October 2008 and November 2009). All the satellite images were classified into five LU/LC classes viz. built-up lands, agricultural lands, waterbodies, forests and wastelands using supervised classification approach. Post classification change detection method was used to understand the LU/LC changes in the study area. Results reveal that built up lands, waterbodies and agricultural lands are increasing in all the three sub-basins of the study area at the cost of decreasing forests and wastelands. But the change is more drastic in urbanized Mula-Mutha sub-basin compared to the other two sub-basins.
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Kuldeep and P. K. Garg. "THE ROLE OF SATELLITE DERIVED DATA FOR FLOOD INUNDATION MAPPING USING GIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 235–39. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-235-2015.
Full textAbstract:
River flooding in planar region is the most significant type of natural disaster that modern society is exposed to, affecting several thousand people each year. Recent flood events, population growth concerns have augmented the call for global methods which utilise both spatial and temporal dynamics. Object oriented classification approaches based on the segmentation are being adopted for extraction of variety of thematic information from high resolution satellite images. Generation of landuse/cover map which is one of the important inputs to the model for flood inundation mapping and for accurate assessment of damage due to floods requires advanced methods of image classification. The Cartosat-1 (PAN) satellite data has been fused with the LISS-III (MX) to obtain the color image containing both high spatial and spectral information. The fused image is further classified to obtain the landuse/cover map using object based classification approach. The classification results are assessed by calculating overall accuracy and kappa index with the help of error matrix. The overall accuracy of classification has been obtained 86.00% with kappa index 0.7815. The objective of this study is to develop a GIS aided model for flood inundation mapping of the surrounding of the part of the Yamuna River which flows through the two districts i.e. Yamuna Nagar and Saharanpur in states of Haryana and Uttar Pradesh respectively. The model considers the five parameters viz. topography (slope, elevation) information, landuse/cover, time series data of surface water elevation, river geometry and location of the rain gauge station. Field survey has been conducted to validate the positional accuracy of the DEM and landuse/cover classes using DGPS. A final flood inundation map has been prepared by combining all weighted layers with in GIS environment. The flood inundation maps can further be used for quick identification of areas of potential flood hazard to minimize the flood losses.
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Navatha, K., Chiranjibi Pattanaik, and C. Sudhakar Reddy. "Assessment of wetland dynamics in Sirohi district of Rajasthan, India using remote sensing and GIS techniques." Journal of Wetlands Ecology 5 (December 28, 2011): 66–72. http://dx.doi.org/10.3126/jowe.v5i0.4996.
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Wetlands are very dynamic ecosystems in the world. The present study provides scenario of wetlands of Sirohi district of Rajasthan, India. Landsat TM data of October, 1992, IRS-P6 LISS-III data of October 2005 and IRS-P6 AWiFS data of January, February, March, April and May months (2005) have been used in the study. Visual interpretation technique was adopted to map the areal extent of wetlands on 1:50,000 scale. Wetlands were classified following the Ramsar classification. The total extent of wetlands for the Sirohi district as a whole is estimated to 11,961 ha with representation 189 wetlands during 1992 which later decreased 11,307 ha in 2005 with a loss of 654.2 ha during 13 years. Of the total wetland area of the district, rivers accounted for 61.9% area, followed by reservoirs (15.1%), seasonal lakes (15%), perennial lakes (5.6%), and ponds (2.5%). Further it is also observed that drastic reduction in the water spread area from February to May months. For conservation of wetlands it is necessary to assess the changes which take place in the water bodies from time to time. Key words: GIS; Rajasthan; Remote sensing; Sirohi district; Wetlands DOI: http://dx.doi.org/10.3126/jowe.v5i0.4996 J Wet Eco 2011 (5): 66-72
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Sarma, J. N., and S. Acharjee. "A GIS based study on bank erosion by the river Brahmaputra around Kaziranga National Park, Assam, India." Earth System Dynamics Discussions 3, no. 2 (September 19, 2012): 1085–106. http://dx.doi.org/10.5194/esdd-3-1085-2012.
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Abstract. The Kaziranga National Park is a forest-edged riverine grassland inhabited by the world's largest population of one-horned rhinoceroses, as well as a wide diversity of animals. The park is situated on the southern bank of the Brahmaputra River at the foot of the Mikir Hills. National Highway 37 forms the southern boundary and the northern boundary is the river Brahmaputra and covers an area of about 430 km2. The Brahmaputra River flows by Kaziranga National Park in a braided course for about 53 km. Sequential changes in the position of banklines of the river due to consistent bank erosion have been studied from Survey of India topographic maps of 1912–1916 and 1972, satellite IRS LISS III images from 1998 to 2008 using GIS. Study of bank line shift due to the bank erosion around Kaziranga has been carried out for the periods 1912–1916 to 1972, 1972 to 1998 and 1998 to 2008. The amounts of the bank area lost due to erosion and gained due to sediment deposition are estimated separately. The total area eroded during 1912–1916 to 1972 was more (84.87 km2) as compared to accretion due to sediment deposition (24.49 km2), the total area eroded was also more in 1972–1998 (44.769 km2) as compared to accretion (29.47 km2) and the total area eroded was again more in 1998–2008 (20.41 km2) as compared to accretion (7.89 km2). The rates of erosion during 1912–1916 to 1970, 1970 to 1998, and 1998 to 2008 were 1.46, 1.59 and 1.021 km2 per year, respectively. During the entire period (1912–1916 to 2008) of study the erosion on the whole was 150.04 km2 and overall accretion was 61.86 km2 resulting in a loss of 88.188 km2 area of the park. The maximum amounts of shift of the bankline during 1912–1916 to 1970, 1970 to 1998, and 1998 to 2008 were 4.58 km, 3.36 km, and 1.92 km, respectively, which amount to the rates of shift as 0.078, 0.12 and 0.096 km per year, respectively. A lineament and a few faults have controlled the trend of the course of the Brahmaputra around Kaziranga area. The main cause of erosion of the Brahmaputra is the loose non-cohesive sediments of the bank throughout the park. The braided channel of the river strikes the bank directly and undermines the silty bank causing overhanging blocks to be carried away easily by the river current. In future deposition is likely to be more in upstream or eastern part of Kaziranga and erosion in middle part of Kaziranga national park area due to the river Brahmaputra. Antierosion measures have been adopted only in a few places to check bank erosion at Kaziranga.
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Mahato, Anupama. "Monitoring decadal changes in the Khudia Dam in the Central Indian State of Chhattisgarh through the application of Remote Sensing and GIS." Ecology, Environment and Conservation, August 12, 2022, S291—S296. http://dx.doi.org/10.53550/eec.2022.v28i04s.044.
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Dams and reservoirs are constantly threatened by sedimentation and human interference. The presentstudy focuses on decadal variation of Khudia dam built on the Maniyari River in the Mungeli district ofChhattisgarh. IRS P6, LISS III satellite imagery for the years 2004 and 2013 has been used. During the year2004, area covered by water was 53.57% which was reduced to 33.15% by 2013. Fluctuation in the spatialextents of the river bed has also been associated to the change in the water level/ rainfall. It has beenobserved that the agricultural land has appreciated over time (2.43%) while the cover of barren land hasdecreased. The LULC maps created will enable the local decision makers to adopt better land use planningand appropriate use and management of the regionâs water bodies.
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"Analysis of Land Use and Land Cover Change in Gummidipoondi Using Remote Sensing and GIS Tools." International Journal of Emerging Trends in Engineering Research 9, no. 6 (June 6, 2021): 675–82. http://dx.doi.org/10.30534/ijeter/2021/11962021.
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The aim of the study was to evaluate the changes in land use and land cover (LULC) in Gummidipoondi and the surrounding areas in Thiruvallur district, Tamilnadu India.Spatio-temporal variation in the land use and land cover were analysed on a decadal basis for the period from 1990 to 2019 using remote sensing and GIS based tools. The Landsat 5 (TM) and Resource-Sat 2 (LISS-III) data was used for the LULC classificationin the study area. During the study period from 1990 to 2019, built-up area including industrial, urban and rural land use increased by about 147%. Predominant change was also noticed in the mudflat category where more than 95% of it was lost to various other land uses such as agriculture and marsh area. This observation calls for planning and conservation of sensitive ecosystems in the study area that may be lost due to anthropogenic pressures via pollution and undesirable conversion of LULC. The study revealed no significant changes in the extent of other LULC classes such as agriculture, forests, plantations, land with or without scrub, rivers and waterbodies in the study area
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Joshi, Varun, T. V. R. Murthy, A. S. Arya, A. Narayana, A. K. Naithani, and J. K. Garg. "Landslide hazard zonation of Dharasu -Tehri-Ghansali area of Garhwal Himalaya, India using remote sensing and GIS techniques." Journal of Nepal Geological Society 28 (November 2, 2003). http://dx.doi.org/10.3126/jngs.v28i0.31727.
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The landslide hazard zonation of Dharasu-Tehri -Ghansali area of Garhwal Himalaya has been carried out using Indian Remote Sensing (IRS) LISS II and SPOT (MLA) data for various geo-environmental parameters viz. lithology, structure, land use/land cover, slope and drainage. The forest types and density and other land uses in the reservoir rim area were delineated and also assessed the direct loss of forests, agricultural land, wastelands and other landuse in the submergence area of the Tehri dam. There are 71 landslides in the periphery of the Bhagirathi and the Bhilangana rivers, which will enclose the impounded reservoir. Out of 71 landslides 35 will get submerged during the reservoir-filling phase while remaining will continue to exist. By overlaying the thematic maps in Geographical Information System (GIS) environment and using statistical parameters, a landslide hazard zonation map has been prepared. Phyllite, dissected hills, slope 50°-60°, agriculture and convex side of stream channel were to be found more susceptible for landslide. An area of 43.5 km2 in the reservoir rim falls in the category of high to very high class as per the landslide hazard zone code.
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"Estimation of Runoff Potential by the Application of Curve Number Method in GIS Platform." International Journal of Engineering and Advanced Technology 8, no. 6 (August 30, 2019): 3127–31. http://dx.doi.org/10.35940/ijeat.f9174.088619.
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Estimation of direct runoff is essential for planning and development of watershed. In this study estimation of the same is carried out by applying Soil Conservation Service-Curve Number (SCS-CN) model technique with Geographic Information System (GIS) approach. The SCS-Curve Number model is a hydrological model which is widely used for estimation of runoff volume generated from the rainfall event. The said model mathematically describe the rainfall – runoff relationship and uses rainfall data and Curve Number (CN) as the inputs. The Curve Number is an empirical index depends on the soil complex, land use and hydrological condition of the area. The SCS-CN method with GIS approach has been adopted for predicting the runoff volume in the catchment of upper Mahanadi, which is upstream of the confluence of Mahanadi and Pairi River. The catchment area under consideration is 8086 sq.km. The study area climate condition is tropical monsoon type which receives the normal annual rainfall of 1360 mm. The maximum precipitation about 86% of the total precipitation, observed in the monsoon period from July to Mid of September. Survey of India (SOI) topographic sheets and Indian Remote Sensing satellite image LISS-III were used to prepare thematic maps of the study area. Thematic maps and hydrological data were used to generate Curve Number map and Hydrological Soil Group map. The SCS-CN method is very useful to compute runoff volume from the land, which quatify the direct drain to the river or streams. The outcome of this study is useful for watershed planning and development effectively for the study area.
Dissertations / Theses on the topic "Rivers Lish and Gish"
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Ghatwar, Likhaneswar. "Study of the fluvial dynamics of the twin basins of the rivers Lish and Gish." Thesis, University of North Bengal, 1986. http://hdl.handle.net/123456789/833.
Full textConference papers on the topic "Rivers Lish and Gish"
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Pucci, Alessandro, Hélder S. Sousa, Mario Lucio Puppio, Linda Giresini, José C. Matos, and Mauro Sassu. "Method for sustainable large-scale bridges survey." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1034.
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<p>In the last years, extreme rainfalls have caused many collapses of bridges. In Italy several of those were short span’s ones that failed during or after extreme events of this nature. This work presents a method for inspection survey and its results regarding a campaign on 71 bridges, located in Tuscany (Massa Carrara, Italy). This area was affected by a big flood that took place in 2014 and also two earlier ones in 2012 with only 15 days apart one from the other, leading to a huge disrupting situation for the population’s daily life and consequent economical loss. Concerning this issue, the local stakeholders showed an increasing interest for sustainable methods for monitoring the built environment, thus the results of this research have been made available for integration on the Civil Protection Emergency Plan (CLE) and can be used in a decision-making prioritization list of actions. The framework uses a Gis- based approach combined with a quick survey technique. This method balances costs of surveying with the accuracy needed in inspections, bypassing the classical procedure which requires several onsite surveys. This procedure uses only three transversal river sections for each bridge. The method also comprises a tailored survey inspection form and a user-friendly worksheet was designed to build the database, applicable for further studies. Results showed the absence of maintenance on existing structures and riverbeds, often resulting in a partially or fully bridge section obstruction, and material’s decay. The framework created in this work allowed to assess the conditions of several bridges in the studied region, to further analyse the resilience of the infrastructure system and proceed with adequate interventions.</p>