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Spatial Information Research
Number of Followers: 0  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2366-3286 - ISSN (Online) 2366-3294
Published by Springer-Verlag Homepage  [2352 journals]
  • Climate change impact analysis on watershed using QSWAT
    • Authors: N. Nageswara Reddy; K. Venkata Reddy; J. Sri Lakshmi Sesha Vani; Prasad Daggupati; Raghavan Srinivasan
      Pages: 253 - 259
      Abstract: This study focuses on analysis of future climate change impacts on West Nishnabotna Watershed, using climate model data and an open source hydrological model—Soil and Water Assessment Tool (SWAT), which is run in Quantum Geographical Information System(QGIS) environment. The data required to simulate hydrological processes using SWAT plugin in QGIS (QSWAT) are Digital Elevation Model, land use/landcover map, soil map, slope map and climate data of the study area. The required climate parameters like maximum temperature, minimum temperature and precipitation are obtained from North American Regional Climate Change Assessment Program climate model database which are bias corrected for the study area using linear scaling method. SWAT model is setup using observed climate and the model calibration and validation is performed using SWAT Calibration and Uncertainty Program (SWAT-CUP). Simulations are run for historic (1971–1999) and future (2041–2069) climate conditions for the stream flow prediction. The climate change impact analysis like anomalies and trends in the hydrological regime of the watershed are carried out based on QSWAT simulation results.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-017-0159-6
      Issue No: Vol. 26, No. 3 (2018)
  • Subsurface mapping: selection of best interpolation method for borehole
           data analysis
    • Authors: O. A. Bamisaiye
      Pages: 261 - 269
      Abstract: Selection of the best interpolation method as well as the appropriate software parameters that give the closest approximation to known geology is usually a difficult task. This is because geologic factors such as lithologic and structural feature occurrences are not easily predictable, especially where outcrop occurrences are fortuitous. Borehole data provides an alternative to sparse outcrops especially in areas where the borehole occurrence is well-distributed. However, most boreholes were drilled for exploration purposes and may not be well-distributed over all the study areas. Getting information in-between boreholes becomes a big challenge, especially in areas where we have very large volume of borehole data that are randomly distributed. The use of interpolation technique to estimate in-between borehole points becomes imperative. Comparison of interpolation techniques was carried out with borehole log data so as to determine the best interpolation method output that is closest to known geology. The test area is located in the southwestern part of the Western Bushveld Complex and the northeastern part of the Eastern Bushveld Complex in South-Africa. Eight interpolation tools available in Rockworks® 15 were evaluated and utilized in contouring the major stratigraphic peaks within the area. The best results were achieved with Kriging and trend surface analysis interpolation methods. The resultant maps were interpreted and compared with geology and structures inferred from existing geological and geophysical records and a good correlation is present.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0170-6
      Issue No: Vol. 26, No. 3 (2018)
  • Trend analysis of long-term climatic parameters in Dinhata of Koch Bihar
           district, West Bengal
    • Authors: Jayanta Das; Sudip Kumar Bhattacharya
      Pages: 271 - 280
      Abstract: The monthly, seasonal and annual trends for five climatic parameters, such as rainfall, rainy days, temperature, relative humidity and sunshine hours were analyzed for the period of 1980–2015. The objective of this study was to detect the long term trend of climatic parameters of the study area. The non-parametric Mann–Kendall test and Sen’s slope estimators methods were used to determine whether there was a positive or negative trend in weather data with their statistical significance. The study area is characterized by high rainfall, receives an annual average rainfall of 3005 ± 820 mm, with an inter-annual variation 27% but analysis of long-term trends in the annual rainfall indicates a decreasing trend (− 14.31 mm year−1) and annual rainy days also significantly decreased (− 0.63 days year−1). In terms of seasonal rainfall, the pre-monsoon and monsoon months exhibited non-significant declining trends, while post monsoon months marginally increased. The result showed significant (P < 0.05) warming trend in annual minimum and mean temperature at the rate of 0.14 and 0.05 °C year−1 respectively and also showed similar significant (P < 0.05) increasing trend in summer (0.05 °C year−1) and winter (0.07 °C year−1) mean temperature. Decrease in maximum temperature during all the months except September and annual maximum temperature (− 0.04 °C year−1) is evident. The study area is experiencing a significant increasing trend in maximum (0.36% year−1), minimum (0.52% year−1) and mean relative humidity (0.13% year−1), with a significant decreasing trend of sunshine hours in pre monsoon (− 0.03 h day−1), post monsoon (− 0.04 h day−1) and mean (− 0.03 h day−1).
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0173-3
      Issue No: Vol. 26, No. 3 (2018)
  • Assessing the impact of climate variations on wheat yield in north-west
           India using GIS
    • Authors: P. K. Kingra; Raj Setia; Jatinder Kaur; Simranjeet Singh; Som Pal Singh; S. S. Kukal; B. Pateriya
      Pages: 281 - 294
      Abstract: We analyzed the spatial and temporal variations (40 years from 1974–75 to 2013–14 with an interval of four decades) in wheat yield as influenced by the three important potential determinants (climate, fertilizers and irrigation) in the three regions (North-west, Central and South-west) of Indian Punjab. Wheat productivity in Punjab has increased linearly at 60–64 kg ha−1 year−1. Although linear increase in productivity can be attributed to technological developments but large year-to-year oscillations depicted the effects of climatic variations. Mann–Kendall and Sen’s slope estimator statistical tests indicated that majority of the trends in maximum temperature and rainfall in different regions were not significant, but there was a significant increase in minimum temperature at 0.053 °C year−1 in north-east, at 0.047 °C year−1 in central and 0.044 °C year−1 in south-west regions of Punjab. Step-wise regression was used to assess the relative influence of three determinants (climate, fertilizer and irrigation) on yield. Minimum temperature explained 44% of variability in yield. Out of the remaining 56% variability, 44% variability in wheat yield was explained by irrigation availability and 7% by fertilizer application. The spatial interpolation showed the decade-wise shift in area towards higher productivity, higher temperature and lower rainfall during the wheat growing season.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0174-2
      Issue No: Vol. 26, No. 3 (2018)
  • Evaluating seasonal CH 4 flow tracked by GOSAT in Northeast Asia
    • Authors: Ah-Reum Park; Seung-Min Joo; YoungSeok Hwang; Jung-Sup Um
      Pages: 295 - 304
      Abstract: This study intends to evaluate the seasonal flow direction of CH4 in Northeast Asia by using GOSAT (Greenhouse Observing SATellite), in an attempt to overcome costly, laborious and time consuming ground observation which has been frequently pointed out in existing studies. It was found that the overall spatial distribution of Methane gas in Northeast Asia varies depending on the latitude, and that CH4 mainly flows southeast or east in spring, autumn and winter, but northeast or north in summer. Similar to the flow of prevailing wind and monsoons in Northeast Asia, these results show that CH4 flows mainly from the west to the east. The results also indicate that methane gas discharged from China is influencing even the Korean Peninsula and Japan.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0176-0
      Issue No: Vol. 26, No. 3 (2018)
  • Himalayan forest fire characterization in relation to topography,
           socio-economy and meteorology parameters in Arunachal Pradesh, India
    • Authors: Firoz Ahmad; Laxmi Goparaju; Abdul Qayum
      Pages: 305 - 315
      Abstract: Monitoring and management of forest fire is imperative in India where 50% of forest cover is prone to the fire. The study aims for applying the geospatial technology towards forest fire characterization and evaluation of relationship with meteorological thematic layers. Spatial analysis of forest fires in the state of Arunachal Pradesh was carried out based upon the decadal (2008–2016) forest fire count datasets, which was assessed for spatial variability over the known Himalayan biodiversity hotspot in diverse geographical and socio-economic gradients. Result suggested that Kameng districts had maximum fire incidences (25.2%) whereas it has 15.2% of state forest, established the districts as ‘forest fire hotspot’ in the state. Maximum number of incidences (88%) occurred in areas of low elevation (< 1500 m). There was high correlation with socio-economy where 42.3% forest fire points falls in high poverty index areas and 73% of fire incidences in the areas having population density 6–50. All districts showed high fire incidences, therefore an urgent intervention is greatly required by the policy makers towards conservation and management of forest fire prevention and control by adopting focused intervention, strategic allocation of limited resources in potent areas in order to safeguard Himalayan region of highest biodiversity.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0175-1
      Issue No: Vol. 26, No. 3 (2018)
  • Multiobjective spanning tree based optimization model to political
    • Authors: Myung Jin Kim
      Pages: 317 - 325
      Abstract: A successful political redistricting plan should be neutral by satisfying a number of requirements, such as equal population, and contiguity as well as compactness. Modeling approaches to solving this problem becomes either computationally intensive when the contiguity requirement is explicitly addressed, and requirements are used as more than one objective In this paper, a multiobjective mixed integer optimization model was developed based on developments in solving land acquisition problems. Using the approach, geographical criteria such as contiguity and compactness can be explicitly addressed. Tradeoff between compactness and equal population can be evaluated. The use of the approach based on synthetic data was demonstrated using a set of experiments.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0171-5
      Issue No: Vol. 26, No. 3 (2018)
  • Relationships between urban flexibility and behaviors in Mashhad, Iran
    • Authors: Hadi Sarvari; Maryam Esnaashari
      Pages: 327 - 335
      Abstract: The main aim of the present study was to evaluate the relationships between urban flexibility factors and daytime behaviors in three street-places in Mashhad city, Iran. To obtain this target, behavioral patterns such as essential, optional, and social activities were considered in field observations during warm and cold times. Thereafter, a questionnaire survey to detect flexibility factors such as permeability, versatility, and legibility was performed. Results revealed the significant direct correlations between legibility factor and social activities during both warm and cold times. The essential activities depend on permeability/versatility factors with the powerful direct correlations during the warm times. Contrarily, the significant direct correlation between mentioned factors and optional activities are observed just in cold times. On this basis, a majority of social activities during various climatic conditions can be anticipated along Imam-Reza Street as a legible place, where the most of commercial land uses, touristic hotels, hostels, restaurants, and traveling companies of Mashhad locate in two sides of this street.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0178-y
      Issue No: Vol. 26, No. 3 (2018)
  • Exploring the ambient environment for charland formation in Rajmahal
           downstream Ganga river of Eastern India in post Farakka barrage Period
    • Authors: Shahana Khatun; Somen Das; Swades Pal
      Pages: 337 - 346
      Abstract: Up to 2005, more than 700,000 people and 53 villages of Malda and Murshidabad districts have been displaced and wiped out due to bank erosion of river Ganga. Population displacement due to massive river bank erosion and rehabilitation for them with livelihood options are the emerging challenge in both up and downstream of Farakka barrage. This paper also wants to find out potential areas of charland formation along with exploring existing charland over the selected phases. Normalized differences water index (NDWI) from 55 Landsat images is used for flow and charland mapping. Water presence frequency (WPF) and NDWI map are taken as parameters for mapping new habitat for chaland. Total existing charland area in phase 3 is 463.58 km2 and potential habitat for charland is 117.59 km2. Out of this potential area, in post monsoon season, 35.26% comes under highly potential zone where both depth of flow is very low and frequency of flow is irregular. Highly suitable area has been increased over the recent phases. Potential charland maps in 1st and 2nd phases are validated in reference to the appeared charland area in the successive phases. New charlands expectedly would be the resource hunting ground of the displaced people.
      PubDate: 2018-06-01
      DOI: 10.1007/s41324-018-0179-x
      Issue No: Vol. 26, No. 3 (2018)
  • Analyzing spatial equality of cooling service shelters, Central district
           of Seoul metropolitan city, South Korea
    • Authors: Yoonjung Ahn; Yeora Chae
      Abstract: Frequency and intensity of extreme weather events are getting increasing. Especially heat waves occur accumulatively and the mortality rates have rapidly increased in recent years. Therefore, the government established climate change adaptation plans (CCAPs) to strengthen adaptability. However, there are various barriers that hamper implementing CCAPs and are a lack of study about reducing the barriers. Therefore, this study researched about cooling centers which is one of facilities that improving adaptability in Jung-gu, Seoul. This study evaluated the suitability of cooling centers with the adequacy of cooling centers’ location and the capacity of cooling centers by comparing with the elderly population in service area. First of all, field survey was conducted. Service area and accessibility of elderly were deduced from the survey. Secondly, network analysis was done to analyze geographic suitability of cooling centers. Lastly, capacity suitability was investigated by using population in service area and compared with the capacities of each cooling centers. As a result, the service area is average 15 min and 20% of elderly people are living in unsuitable area for using cooling centers in Jung-gu area. Exact guideline should be suggested and more cooling center should be established to improve use of cooling center and increase adaptability.
      PubDate: 2018-08-03
      DOI: 10.1007/s41324-018-0206-y
  • Airspace map design to implement customer-friendly service on unmanned
           aerial vehicles
    • Authors: JinYoung Kwon; YeonWoong Kim; Se-Hyu Choi
      Abstract: Today, as the number of drones has suddenly increased, the problems of collision between drones in low altitude flight and Traffic control in drone flight have been highlighted. The collision between drones has a potential danger that can be extended to a very serious accident, which is directly linked to the second or third accident rather than the first accident. More detailed and thorough air traffic management is essential in order to minimize the collisions between drones and predict or address the collision before the collision occurs. However, the current unmanned traffic management technology is a basic research level and it is urgent to establish the concept. Therefore, the purpose of this study is to design and compare the airspace maps for drones, which is a core technical element in construction of drone Traffic control system. As a result of this study, based on the building height values in the conventional navigation map, a drone obstacle map for each airspace area is displayed. Also, the airspace classification is analyzed and the design definition and method for the uncontrolled drones are suggested.
      PubDate: 2018-07-28
      DOI: 10.1007/s41324-018-0205-z
  • Estimation of chlorophyll- a concentration with semi-analytical algorithms
           using airborne hyperspectral imagery in Nakdong river of South Korea
    • Authors: Eui-Ik Jeon; Seong-Joo Kang; Keum-Young Lee
      Abstract: In this study, semi-analytical algorithms such as two-band and three-band models were used to estimate the chlorophyll-a (Chl-a) concentration in the turbid river using an airborne hyperspectral imagery. In order to select the optimal wavelength band to be used in the empirical equation, surface water was collected at the same time of acquisition of the aerial hyperspectral imagery. The spectral characteristic of the Chl-a, PC, CDOM, NAP, and phytoplankton were analyzed from by collected samples. The concentrations of PC and CDOM which affect the spectral characteristics to Chl-a were low and there was no change over time. So the range of wavelengths was able to broaden than the existing cases. As the result of widening the wavelength band, the two-band and three-band models were found to be higher R2 than the results obtained by using the existing formula. Because the three-band model is more statistical significance than the two-band model, it is more appropriate to estimate the chlorophyll-a concentration in the turbid river. However, the Chl-a concentration of this study was relatively low at 45 mg/m3, and the effect of PC and CDOM also was small. To estimate the correct Chl-a concentration, data such as airborne hyperspectral imagery and water sample need to be accumulated in different years and the correlation between optical properties and concentration should be thoroughly analyzed.
      PubDate: 2018-07-17
      DOI: 10.1007/s41324-018-0204-0
  • Local determinants of household gas and electricity consumption in
           Randstad region, Netherlands: application of geographically weighted
    • Authors: Bardia Mashhoodi; Arjan van Timmeren
      Abstract: The previous studies on household energy consumption (HEC) are based on an implicit assumption: the impact of geographic determinants on HEC is uniform across a given region, and such impacts could be unveiled regardless of geographic location of households in question. Consequently, these studies have searched for global determinants which explain HEC of all areas. This study aim at examining validity of this assumption in Randstad region by putting forward a question regarding households’ gas and electricity consumption: are the determinants global, stationary across all the areas of the region, or local, varying from one location to another' By application of geographically weighted regression, impact of socioeconomic, housing, land cover and morphological indicators on HEC is studied. It is established that the determinants of HEC are local. This result led to second question: what are the main determinants of gas and electricity consumption in different neighborhoods of Randstad' The results show that variety of factors could be the most effective determinant of gas consumption in different neighborhoods: building age, household size and inhabitants’ age, inhabitants’ income and private housing tenure, building compactness. Whereas, in case of electricity consumption the picture is more deterministic: in most of the neighborhoods the most effective factors are inhabitants’ income and private tenure.
      PubDate: 2018-07-17
      DOI: 10.1007/s41324-018-0203-1
  • Assessment of bank erosion and channel shifting of Padma River in
           Bangladesh using RS and GIS techniques
    • Authors: Sultana Jahan Ophra; Sameena Begum; Raihanul Islam; Md. Nazrul Islam
      Abstract: Bangladesh is a riverine country. Every year it faces many natural hazards due to river. Bangladesh is mainly formed by alluvial deposits. It faces riverbank erosion frequently due to regular shifting of river channels. This research work provides an overview of the trend of riverbank erosion of Padma River of Munshiganj, Madaripur and Shariatpur district. It also shows the land cover change due to riverbank erosion. The riverbank erosion was calculated by using remote sensing and geographic information systems (GIS) techniques. Only secondary data have been used to reach the research goals. Various computer software such as Erdas Imagine, Arc GIS, Google Earth, Environment for Visualizing Images etc. have been used to process and analyze raw data. In this study, using seven selected images of Landsat TM and OLI acquired from 1988 to 2017, the riverbank migration patterns and land dynamics of Padma resulted from accretion/erosion processes for 29 years were investigated. The migration rates are based on the differences in 1988–1993, 1993–1998, 1998–2003, 2003–2008, 2008–2013 and 2013–2017. The average erosion and accretion rates are 1472.056 and 1610.152 ha/year of Padma, respectively. This study shows Padma got meandered and braided from almost straight channel in the time span.
      PubDate: 2018-07-06
      DOI: 10.1007/s41324-018-0202-2
  • Text mining geo-visualization of patent documents on geo-spatial big-data
    • Authors: Wonwook Choi; Jongwook Ahn; Dongbin Shin
      Abstract: This study attempts to establish prototype-leveled patent fusion data based on collecting structured and unstructured geo-spatial big data (GSBD) patent information, to distinguish GSBD technical ecosystems into their spatial and non-spatial aspects, and to propose a method to analyze visualizations in a multi-dimensional way. Spatially, we visualize the patent citation data among applicants for a patent at local and national levels, and implement a visualization analysis of the competitive relations for the locational traits of applicants for patent and technology innovation by comparing technology dependence and technology impacts in GSBD technology. Non-spatially, we analyzed the trend of time series of GSBD technology innovation activities based on Industry Classification and technology keywords. We establish the related networks among industry classification, IPC patent classification and technology keywords and implement a visualization analysis of convergence structure in element technologies through graph network analysis and Venn diagram analysis. We extracted issues related with the establishment of patent fusion data and interpretation of visualization analysis through the examination of research methodology and analysis results and discussed future research tasks to solve these problems.
      PubDate: 2018-07-05
      DOI: 10.1007/s41324-018-0201-3
  • Using multi-source data and decision tree classification in mapping
           vegetation diversity
    • Authors: Gaurav Shukla; Rahul Dev Garg; Pradeep Kumar; Hari Shanker Srivastava; Pradeep Kumar Garg
      Abstract: This study acknowledges the problem of land cover demarcation in diverse vegetation condition. The Normalized Difference Vegetation Index is used for the preparation of base map. Further identification of mix and incorrect classes was done using ground truth. Radar data in combination with optical indices are used. In different NDVI classes, σ°RV with additional criteria on Normalized Difference Water Index successfully demarcated waterlogged area, polarization ratio σ°RV/σ°RH and backscattering coefficient σ°RH are found suitable to separate bare land from dry grass land, sparse and dense scrub could be separated by − (σ°RV + σ°RH)/2 and NDVI is efficient to identify dense vegetation. The study area is taken as Keoladeo National Park in Bharatpur, India. Statistical similarity between ground truth and classified class has been assessed using Jaccard coefficient (JC), Jaccard distance (JD), Dice coefficient (DC) and F-score. High similarity values of JC, JD, DC and F-score are achieved for all land cover types except bare land. Although, dry grassland showed low value of F-score; the reason could be low precision of class. The overall accuracy (87.17%), producer’s accuracy (86.39%), user’s accuracy (85.81%) and Kappa Coefficient (0.84) are also utilized to analyze performance of classifier.
      PubDate: 2018-06-28
      DOI: 10.1007/s41324-018-0200-4
  • Shoreline change detection along the coast of Odisha, India using digital
           shoreline analysis system
    • Authors: Santanu Roy; Manik Mahapatra; Abhishekh Chakraborty
      Abstract: A long-term shoreline change analysis is significant for coastal zone management as well as planning for future development in the coastal zone. The present study analyse a long term (1990–2015) shoreline change along the Odisha coast, India using geo-informatics. The High Water Line (HWL) was considered as shoreline, which was detected by Modified Normalized Difference Water Index (MNDWI) method. The shorelines as vector were extracted from binary raster image which was created by dynamic local threshold values. The shoreline has been updated in river creeks, mouth. Digital Shoreline Analysis System (DSAS) developed by USGS, as Arc GIS extension, were used to calculate shoreline change rate. The Linear Regression Rate method was used to calculate shoreline change rate. The result reveals that about 196 km (46%) shoreline is eroded, where 78 km (18%) shoreline is in stable condition and 156 km (36%) shoreline is accreted along the Odisha coast. The Puri and Kendapara districts have found with most eroded shoreline 80 km (18.7%) and 41 km (9.5%) respectively, whereas most accreted shoreline is around 37 km (8.5%), has found along the coast of Bhadrak district. On the other hand Ganjam district has the least eroded shoreline, which is around 8 km (2%), whereas the least accreted shoreline has found along the coastline of Puri district (5%). The study has done on the regional scale with significant information, which can help coastal managers and researchers towards sustainable coastal zone research, management and planning.
      PubDate: 2018-06-26
      DOI: 10.1007/s41324-018-0199-6
  • An efficient hybridized index technique for moving object database
    • Authors: Esraa Rslan; Hala Abdelhameed; Ehab Ezzat
      Abstract: Indexes are needed in order to index a number of moving object’s positions to provide answers to different types of queries as fast as possible. The most popular types of querying techniques in moving object databases are K-Nearest Neighbor and Rang queries. In KNN, a set of k points of interest that can be reached in a minimum response time are retrieved. For Range Query, all objects whose positions fall within a predefined rectangular or circular range are retrieved. Creating an efficient index for objects’ locations is looked upon as the most critical problem in connection with spatial–temporal data management. Indexes are different based on their structures, query processing, and update performance. In this context, this paper aims to hybridize both tree and grid based structures to enhance update, search, and insert in the index. To achieve this goal, the current paper will discuss the design of the proposed index.
      PubDate: 2018-06-20
      DOI: 10.1007/s41324-018-0198-7
  • A geospatial analysis of climate variability and its impact on forest
           fire: a case study in Orissa state of India
    • Authors: Firoz Ahmad; Laxmi Goparaju
      Abstract: The dynamic changes of forest fire events are due to the swing of climate parameter. Geospatial technology has strong capability to analyze various thematic datasets towards visualization of spatial/temporal pattern and plays a vital role in fire management efforts. This paper aims to analyze the climate and forest fire trend using Geospatial technology in the state of Orissa of India. The 84.5% of forest fire events are observed in the month of March and April and it is significantly high in the south of Kandhamal, east of Kalahandi, north of Rayagada and north of Gajapati district. The parameters which favour the forest fire events in the month of March onwards were observed. The Maximum temperature is showing an increasing trend from February to June whereas the increase is significantly high during March and April. The solar radiation increased to 144% in the month of March when compared with preceding month whereas relative humidity was decreased to 64% in the same month. The evaluation of Cramer V coefficient values of minimum temperature, solar radiation, maximum temperature and relative humidity are found to be 0.302, 0.327, 0.366 and 0.482 respectively. The relative humidity shows strong relationship with fire events. Such data analysis would help in safeguarding the forest.
      PubDate: 2018-06-15
      DOI: 10.1007/s41324-018-0197-8
  • Erosion induced channel migration and its impact on dwellers in the lower
           Gumti River, Tripura, India
    • Authors: Istak Ahmed; Nibedita Das; Jatan Debnath; Moujuri Bhowmik
      Abstract: River channel migration due to erosion has emerged as a serious environmental issue. The present study is an attempt to assess the pattern of channel migration in lower reach of the Gumti River and its impact on local inhabitants. For this study Survey of India topographical sheets and Landsat 8 imagery were used to derive the vector layers of the river channel of 1932 and 2016 respectively. Different sections were drawn over the superimposed vector layers of these 2 years to measure the extent of migration. Survey was carried out on the local people to assess the vulnerability of river channel migration. The whole study reveals that large scale migration of the Gumti River has taken place during the period 1932–2016 with maximum extent of 533.42 m in Kushamara Village owing mainly to the sandy and sandy loam nature of bank soil. Channel migration has created detrimental socio-economic problems as victims were bound to shift their houses partially (73.53%) and permanently (26.17%). Moreover, Gumti channel migration has led to loss of productive agricultural lands when around 27.78% of the surveyed victims have already lost their double cropped lands amounting to more than four acres each.
      PubDate: 2018-06-08
      DOI: 10.1007/s41324-018-0196-9
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