Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia

Understanding the hydrological process associated with Land Use/Land Cover (LU/LC) change is vital for decision-makers in improving human wellbeing. LU/LC change significantly affects the hydrology of the landscape, caused by anthropogenic activities. The scope of this study is to investigate the impact of LU/LC change on the hydrological process of Upper Baro Basin for the years 1987, 2002, and 2017. The Soil Water Assessment Tool (SWAT) model was used for the simulation of the streamflow. The required data for the SWAT model are soils obtained from the Food and Agriculture Organization; Digital Elevation Model (DEM) and LU/LC were obtained from the United States Geological Survey (USGS). The meteorological data such as Rainfall, Temperature, Sunshine, Humidity, and Wind Speeds were obtained from the Ethiopian National Meteorological Agency. Data on discharge were obtained from Ministry of Water, Irrigation and Electricity. Ecosystems are deemed vital. Landsat images were used to classify the LU/LC pattern using ERDAS Imagine 2014 software and the LU/LC were classified using the Maximum Likelihood Algorithm of Supervised Classification. The Sequential Uncertainty Fitting (SUFI-2) global sensitivity method within SWAT Calibration and Uncertainty Procedures (SWAT-CUP) was used to identify the most sensitive streamflow parameters. The calibration was carried out using observed streamflow data from 01 January 1990 to 31 December 2002 and a validation period from 01 January 2003 to 31 December 2009. LU/LC analysis shows that there was a drastic decrease of grassland by 15.64% and shrubland by 9.56% while an increase of agricultural land and settlement by 18.01% and 13.01%, respectively, for 30 years. The evaluation of the SWAT model presented that the annual surface runoff increased by 43.53 mm, groundwater flow declined by 27.58 mm, and lateral flow declined by 5.63 mm. The model results showed that the streamflow characteristics changed due to the LU/LC change during the study periods 1987–2017 such as change of flood frequency, increased peak flows, base flow, soil erosion, and annual mean discharge. Curve number, an available water capacity of the soil layer, and soil evaporation composition factor were the most sensitive parameters identified for the streamflow. Both the calibration and validation results disclosed a good agreement between measured and simulated streamflow. The performance of the model statistical test shows the coefficient of determination (R2) and Nash–Sutcliffe (NS) efficiency values 0.87 and 0.81 for calibration periods of 1990–2002 and 0.84 and 0.76 for the validation period of 2003 to 2009, respectively. Overall, LU/LC significantly affected the hydrological condition of the watershed. Therefore, different conservation strategies to maintain the stability and resilience of the ecosystem are vital.

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Detection of Land Use Land Cover Changes Using Remote Sensing and GIS Techniques in a Secondary City in Bangladesh

Grassroots Journal of Natural Resources ◽

10.33002/nr2581.6853.040311 ◽

2021 ◽

Vol 4 (3) ◽

pp. 132-146

Author(s):

Md. Lutfor Rahman ◽

Syed Hafizur Rahman

Keyword(s):

Land Use ◽

Land Cover ◽

The United States ◽

United States Geological Survey ◽

Land Use Land Cover ◽

Error Matrix ◽

Barren Land ◽

Landsat 7 ◽

Landsat Satellite ◽

Secondary City

This study aims at classifying land use land cover (LULC) patterns and detect changes in a 'secondary city' (Savar Upazila) in Bangladesh for 30 years i.e., from 1990 to 2020. Two distinct sets of Landsat satellite imagery, such as Landsat Thematic Mapper (TM) 1990 and Landsat 7 ETM+ 2020, were collected from the United States Geological Survey (USGS) website. Using ArcMap 10.3, the maximum likelihood algorithm was used to perform a supervised classification methodology. The error matrix and Kappa Kat were done to measure the mapping accuracy. Both images were classified into six separate classes: Cropland, Barren land, Built-up area, Vegetation, Waterbody, and Wetlands. From 1990 to 2020, Cropland, Barren land, Waterbody, and Wetlands have been decreased by 30.63%, 11.26%, 23.54%, and 21.89%, respectively. At the same time, the Built-up area and Vegetation have been increased by 161.16% and 5.77%, respectively. The research revealed that unplanned urbanization had been practiced in the secondary city indicated by the decreases in Cropland, Barren land, Wetland, and Waterbody, which also showed direct threats to food security and freshwater scarcity. An increase in Vegetation (mostly homestead vegetation) indicates some environment awareness programs that encourage people to maintain homestead and artificial gardens. The study argues for the sustainable planning of a secondary city for a developing country's future development.

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IMPACT OF LAND USE LAND COVER CHANGE ON RUN OFF GENERATION IN TUNGABHADRA RIVER BASIN

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-5-367-2018 ◽

2018 ◽

Vol IV-5 ◽

pp. 367-374 ◽

Cited By ~ 5

Author(s):

K. Venkatesh ◽

H. Ramesh

Keyword(s):

Land Use ◽

Land Cover ◽

Land Cover Change ◽

River Basin ◽

Stream Flow ◽

Swat Model ◽

Coefficient Of Determination ◽

Land Use Land Cover ◽

North East ◽

The Impact

Abstract. Streamflow can be affected by a number of aspects related to land use and can vary promptly as those factors change. Urbanization, deforestation, mining, agricultural practices and economic growth are some of the factors related to these land use changes which alter the stream flow. In the present study, the impact of land use land cover change (LULC) on stream flow is studied by using SWAT model for Tungabhadra river basin, located in the state of Karnataka, India. Tungabhadra river originates in the Western Ghats of Karnataka and flows towards north-east and joins the river Krishna. The land use maps of 1993, 2003 and 2018 are used for assessing the stream flow changes with respect to LULC. Calibration and validation of the model for streamflow was carried out using the SUFI-2 algorithm in SWAT-CUP for the years 1983&ndash;1993 and 1994&ndash;2000 respectively. Statistical parameters namely Coefficient of Determination (R2) &amp; Nash–Sutcliffe (N-S) were used to assess the efficiency and performance of the SWAT model. It was found that the observed and simulated streamflow values are closely matching, which in turn projects that the model results are acceptable. The calibrated model was used for simulation of future dynamic land use scenario to assess the impact on streamflow. The results can be used for conservation of water and soil management.

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Study of the Impact of Land Use Change on Estimation of Runoff Using SCS-CN & GIS for Gangua-Jhumka Water Shed

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v7i1.18 ◽

2018 ◽

Vol 7 (1) ◽

pp. 8

Author(s):

Monalisa Kuanar ◽

Swetalina Nath

Keyword(s):

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Environmental Changes ◽

Research Work ◽

Accurate Estimation ◽

Land Use Land Cover ◽

Soil Map ◽

The Impact ◽

Scs Cn

Due to increasing demand for basic human needs and welfare of ever growing population there is seen remarkable changes in land use land cover of particular areas. Land use land cover has become a important component in current strategies for managing natural resource and managing environmental changes in present days. The objectives of this research were to analyse the land use land cover change for two periods 2005-06 and 2011-12 and comparing the changes, to study the impact of LULC change on runoff and to estimate the runoff of a watershed area i.e. Gangua Jhumka watershed. Accurate estimation of runoff is an important work for proper watershed management. Direct runoff of a catchment is depended on soil type, and cover and rainfall. Among all the methods available for estimation of runoff SCS-CN method is the most popular. The curve number depends on soil and land use characteristics. This study was carried out in Gangua Jhumka watershed located Khurdha District of Odisha using remote sensing and GIS. The total area of watershed 685.711 sq. km. Soil map, Land use map, elevation maps are generated from GIS Environment. In this research work as the study area is a fast developing city and the population growth is remarkable so most of the agricultural land and forest lands are converted to built up lands. Land sat satellite image was used to obtain land cover information. The thematic maps like soil map, elevation map, and land cover map were created in Arc GIS 10.3. Curve numbers are assigned for different land cover and soil types. In present study the runoff calculated are 1307.6 mm and 1434.8 mm for the year 2005-06 and 2011-12 respectively. Due to increase urbanization runoff has decreased in the study area.

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Spatio-temporal analysis of land use/land cover change through overlay technique in Kinnaur district of Himachal pradesh, Western Himalaya

Sustainability Agri Food and Environmental Research ◽

10.7770/safer-v0n0-art2161 ◽

2020 ◽

Author(s):

Rajan Maurya ◽

V. S. Negi ◽

B. W. Pandey ◽

B. W. Pandey

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Natural Resources ◽

Electric Power ◽

Well Being ◽

The United States ◽

Himachal Pradesh ◽

United States Geological Survey ◽

Land Use Land Cover

In the modern era of globalisation demand of natural resources is very high for the well-being of human; high demand results in the degradation of natural resources, uneven pattern of development and changes in naturally available resources. Changes in land use land cover (LULC) is a dynamic process, which varies with time and space. It is the main component in the planning and management of natural resources, and analysing the changes in the environment. There are many remote sensing and GIS-based model used by the researcher in the world to identify the land use pattern. Here, Digital change detection model is used to determine the changes in Land use and Land cover with geo-referenced multi-temporal remote sensing data. This present study is an attempt to identify the spatial-temporal variation of LULC in the Kinnaur district of Himachal Pradesh, based on the secondary data. Landsat imageries are collected from the United States Geological Survey (USGS) for a different period like Landsat TM, Landsat ETM +, and Landsat OLI. Kinnaur district has witnessed many hydro-electric power projects, dam, tunnel and road construction, which has changed the pattern of land use in a few decades. It is indispensable to have a sustainable development mechanism for the fragile ecosystem. It includes the initiative of local government and Corporate Social Responsibility (CSR), government agencies and global partners to improve the degraded land condition.Keywords: Natural Resources, Land Use/ Land Cover, Kinnaur, Hydro-electric Power Projects.

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Oil and gas plays (1995), federal lands, and land use, land cover of the onshore Gulf Coast region of the United States

Open-File Report ◽

10.3133/ofr99558 ◽

1999 ◽

Author(s):

Christopher P. Anderson ◽

Christopher J. Schenk ◽

R.M. Pollastro

Keyword(s):

United States ◽

Land Use ◽

Land Cover ◽

Oil And Gas ◽

Gulf Coast ◽

The United States ◽

Land Use Land Cover ◽

Federal Lands ◽

Gulf Coast Region ◽

Coast Region

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

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18031132 ◽

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.

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How Can We Represent Seasonal Land Use Dynamics in SWAT and SWAT+ Models for African Cultivated Catchments?

Water ◽

10.3390/w12061541 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1541

Author(s):

Albert Nkwasa ◽

Celray James Chawanda ◽

Anna Msigwa ◽

Hans C. Komakech ◽

Boud Verbeiren ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Swat Model ◽

Agricultural Practices ◽

Area Index ◽

Land Use Dynamics ◽

Cropping Seasons ◽

Decision Tables ◽

Land Cover Maps

In SWAT and SWAT+ models, the variations in hydrological processes are represented by Hydrological Response Units (HRUs). In the default models, agricultural land cover is represented by a single growing cycle. However, agricultural land use, especially in African cultivated catchments, typically consists of several cropping seasons, following dry and wet seasonal patterns, and are hence incorrectly represented in SWAT and SWAT+ default models. In this paper, we propose a procedure to incorporate agricultural seasonal land-use dynamics by (1) mapping land-use trajectories instead of static land-cover maps and (2) linking these trajectories to agricultural management settings. This approach was tested in SWAT and SWAT+ models of Usa catchment in Tanzania that is intensively cultivated by implementing dominant dynamic trajectories. Our results were evaluated with remote-sensing observations for Leaf Area Index (LAI), which showed that a single growing cycle did not well represent vegetation dynamics. A better agreement was obtained after implementing seasonal land-use dynamics for cultivated HRUs. It was concluded that the representation of seasonal land-use dynamics through trajectory implementation can lead to improved temporal patterns of LAI in default models. The SWAT+ model had higher flexibility in representing agricultural practices, using decision tables, and by being able to represent mixed cropping cultivations.

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