scholarly journals The Impact of Land Use Land Cover on the Flood Plain of Bhagirathi River, Purba Bardhaman District, West Bengal, India

2019 ◽  
pp. 1-10
Author(s):  
Sourav Misra ◽  
Tuhin Roy
Keyword(s):  
Land Use ◽  
Land Cover ◽  
West Bengal ◽  
Flood Plain ◽  
Physical Parameters ◽  
Land Use Land Cover ◽  
Entire Study ◽  
Entire Area ◽  
River Bank ◽  
The Impact

Aims: Human interference is the most important factor to change the LULC pattern over the earth surface. Land cover means to the physical parameters and land use means the cultural components. The present study associated with the changes in land uses a land cover pattern for the simultaneous changes of geomorphic features as well as the changes in the course of the river. This work is mainly going to summarize the changing behavior of land use land cover areas of a river bank in several decades. Place and duration of the Study: The research area traced in between 24°00’00’’N to 23°16’15’’N and 88°12’00’’E to 88°28’00’’E, which is situated in the eastern part of Purba Bardhaman District, West Bengal. Methodology: Entire study made by GIS techniques through the uses of topographical sheet (SOI-1960, Scale 1:50,000) and Satellite data (2002, 2008 & 2016). Through the help of superimposition technique the changes of river course have been identified which is directly affecting the LULC pattern of the entire flood plain. Result: The study reveals that the entire area changes their LULC pattern which reflects the entire flood plain. Conclusion: Due to the high interference of human physical elements as well as water bodies, sand bar, fallow lands are being decreased in past decades, whereas settlement patches are continuously growing up. It means for the necessity of human livelihood human always have been modifying the land in different ways.

scholarly journals Detecting Land Use Modification And Its Influence on Resident Communities

2020 ◽  
Author(s):  
Tesfahun Admas Endalew
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Thematic Mapper ◽  
Land Use Land Cover ◽  
Tree Plantation ◽  
Data Set ◽  
Entire Study ◽  
Socioeconomic Analysis ◽  
The Impact

Abstract Background The study intended to detecting the land use land cover changes, trends and their magnitude between 1986 and 2019 years by using GIS and remote sensing in Fagita Lekoma District, Amhara region, Ethiopia. Three satellite data set of Landsat Thematic Mapper for 1986, Enhanced Thematic Mapper Plus for 2002 and Operational Land Imager for 2019 were used generate land use and land cover maps of the study area. Post classification comparison changed detection method was employed to identify gains and losses between Land Use Land Cover classes. Socioeconomic survey, key informant interview and field observation were also used conclude the encouragement of land use /land cover change in the study area. Results The result shows that cultivated land and wetland similarly decline in the entire study periods. In the 33 years, forest lands expanded by upon 200% of the original forest cover what was existed on the base year. Whereas, a result of the socioeconomic analysis the expansion of Acacia decurrens tree plantations and agricultural land are main causes of land use land cover change in the study area. The impact of this land use land cover change is more significant on the livelihood condition and status of the study area. Conclusion The land use system of the study area highly converted cultivation land into forest/tree plantation. Mainly, the expansion of Acacia decurrens tree plantation on farmland is increasing the income of local residence when compare with the previous living condition in the study area.

scholarly journals Detecting Land Use Modification And Its Influence on Resident Communities

2020 ◽  
Author(s):  
Tesfahun Admas Endalew
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Thematic Mapper ◽  
Land Use Land Cover ◽  
Tree Plantation ◽  
Data Set ◽  
Entire Study ◽  
Socioeconomic Analysis ◽  
The Impact

Abstract Background The study intended to detecting the land use land cover changes, trends and their magnitude between 1986 and 2019 years by using GIS and remote sensing in Fagita Lekoma District, Amhara region, Ethiopia. Three satellite data set of Landsat Thematic Mapper for 1986, Enhanced Thematic Mapper Plus for 2002 and Operational Land Imager for 2019 were used generate land use and land cover maps of the study area. Post classification comparison changed detection method was employed to identify gains and losses between Land Use Land Cover classes. Socioeconomic survey, key informant interview and field observation were also used conclude the encouragement of land use /land cover change in the study area. Results The result shows that cultivated land and wetland similarly decline in the entire study periods. In the 33 years, forest lands expanded by upon 200% of the original forest cover what was existed on the base year. Whereas, a result of the socioeconomic analysis the expansion of Acacia decurrens tree plantations and agricultural land are main causes of land use land cover change in the study area. The impact of this land use land cover change is more significant on the livelihood condition and status of the study area. Conclusion The land use system of the study area highly converted cultivation land into forest/tree plantation. Mainly, the expansion of Acacia decurrens tree plantation on farmland is increasing the income of local residence when compare with the previous living condition in the study area.

scholarly journals Detecting Land Use Modification and Its Influence on Resident Communities

2020 ◽  
Author(s):  
Tesfahun Endalew
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Thematic Mapper ◽  
Land Use Land Cover ◽  
Tree Plantation ◽  
Data Set ◽  
Entire Study ◽  
Socioeconomic Analysis ◽  
The Impact

Abstract The study intended to detecting the land use land cover changes, trends and their magnitude between 1986 and 2019 years by using GIS and remote sensing in Fagita Lekoma District, Amhara region, Ethiopia. Three satellite data set of Landsat Thematic Mapper for 1986, Enhanced Thematic Mapper Plus for 2002 and Operational Land Imager for 2019 were used generate land use and land cover maps of the study area. Post classification comparison changed detection method was employed to identify gains and losses between Land Use Land Cover classes. Socioeconomic survey, key informant interview and field observation were also used conclude the encouragement of land use /land cover change in the study area. The result shows that cultivated land and wetland similarly decline in the entire study periods. In the 33 years, forest lands expanded by upon 200% of the original forest cover what was existed on the base year. Whereas, a result of the socioeconomic analysis the expansion of Acacia decurrens tree plantations and agricultural land are main causes of land use land cover change in the study area. The impact of this land use land cover change is more significant on the livelihood condition and status of the study area. The land use system of the study area highly converted cultivation land into forest/tree plantation. Mainly, the expansion of Acacia decurrens tree plantation on farmland is increasing the income of local residence when compare with the previous living condition in the study area.

scholarly journals Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

2021 ◽  
Vol 18 (3) ◽  
pp. 1132
Author(s):  
Qijiao Xie ◽  
Qi Sun
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Urban Planning ◽  
Land Cover ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Water Bodies ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
The Impact

Aerosols significantly affect environmental conditions, air quality, and public health locally, regionally, and globally. Examining the impact of land use/land cover (LULC) on aerosol optical depth (AOD) helps to understand how human activities influence air quality and develop suitable solutions. The Landsat 8 image and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products in summer in 2018 were used in LULC classification and AOD retrieval in this study. Spatial statistics and correlation analysis about the relationship between LULC and AOD were performed to examine the impact of LULC on AOD in summer in Wuhan, China. Results indicate that the AOD distribution expressed an obvious “basin effect” in urban development areas: higher AOD values concentrated in water bodies with lower terrain, which were surrounded by the high buildings or mountains with lower AOD values. The AOD values were negatively correlated with the vegetated areas while positively correlated to water bodies and construction lands. The impact of LULC on AOD varied with different contexts in all cases, showing a “context effect”. The regression correlations among the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), and AOD in given landscape contexts were much stronger than those throughout the whole study area. These findings provide sound evidence for urban planning, land use management and air quality improvement.

The Impact of Land Use/Land Cover Changes on Land Degradation Dynamics: A Mediterranean Case Study

2012 ◽  
Vol 49 (5) ◽  
pp. 980-989 ◽  
Author(s):  
S. Bajocco ◽  
A. De Angelis ◽  
L. Perini ◽  
A. Ferrara ◽  
L. Salvati
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Degradation ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
The Impact

scholarly journals Effect of Land Use Land Cover and Climate Change on River Flow and Soil Loss in Didessa River Basin, South West Blue Nile, Ethiopia

Hydrology ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Kinati Chimdessa ◽  
Shoeb Quraishi ◽  
Asfaw Kebede ◽  
Tena Alamirew
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Sediment Yield ◽  
Soil Loss ◽  
River Flow ◽  
Land Use Land Cover ◽  
The Impact ◽  
Soil Losses

In the Didessa river basin, which is found in Ethiopia, the human population number is increasing at an alarming rate. The conversion of forests, shrub and grasslands into cropland has increased in parallel with the population increase. The land use/land cover change (LULCC) that has been undertaken in the river basin combined with climate change may have affected the Didessa river flow and soil loss. Therefore, this study was designed to assess the impact of LULCC on the Didessa river flow and soil loss under historical and future climates. Land use/land cover (LULC) of the years 1986, 2001 and 2015 were independently combined with the historical climate to assess their individual impacts on river flow and soil loss. Further, the impact of future climates under Representative Concentration Pathways (RCP2.6, RCP4.5 and RCP8.5) scenarios on river flow and soil loss was assessed by combining the pathways with the 2015 LULC. A physically based Soil and Water Assessment Tool (SWAT2012) model in the ArcGIS 10.4.1 interface was used to realize the purpose. Results of the study revealed that LULCC that occurred between 1986 and 2015 resulted in increased average sediment yield by 20.9 t ha−1 yr−1. Climate change under RCP2.6, RCP4.5 and RCP8.5 combined with 2015 LULC increased annual average soil losses by 31.3, 50.9 and 83.5 t ha−1 yr−1 compared with the 2015 LULC under historical climate data. It was also found that 13.4%, 47.1% and 87.0% of the total area may experience high soil loss under RCP2.6, RCP4.5 and RCP8.5, respectively. Annual soil losses of five top-priority sub catchments range from 62.8 to 57.7 per hectare. Nash Stuncliffe Simulation efficiency (NSE) and R2 values during model calibration and validation indicated good agreement between observed and simulated values both for flow and sediment yield.

ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri

2019 ◽  
Vol 11 (4) ◽  
pp. 1150-1164
Author(s):  
Swapnali Barman ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Hybrid Model ◽  
Curve Number ◽  
Future Trend ◽  
Land Use Land Cover ◽  
Ann Model ◽  
Non Linear ◽  
The Future ◽  
The Impact

Abstract The River Subansiri, one of the largest tributaries of the Brahmaputra, makes a significant contribution towards the discharge at its confluence with the Brahmaputra. This study aims to investigate an appropriate model to predict the future flow scenario of the river Subansiri. Two models have been developed. The first model is an artificial neural network (ANN)-based rainfall-runoff model where rainfall has been considered as the input. The future rainfall of the basin is calculated using a multiple non-linear regression-based statistical downscaling technique. The proposed second model is a hybrid model developed using ANN and the Soil Conservation Service (SCS) curve number (CN) method. In this model, both rainfall and land use/land cover have been incorporated as the inputs. The ANN models were run using time series analysis and the method selected is the non-linear autoregressive model with exogenous inputs. Using Sen's slope values, the future trend of rainfall and runoff over the basin have been analyzed. The results showed that the hybrid model outperformed the simple ANN model. The ANN-SCS-based hybrid model has been run for different land use/land cover scenarios to study the future flow scenario of the River Subansiri.

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