scholarly journals Application of the SWAT model in the Pinios river basin under different land-use scenarios

2013 ◽  
Vol 5 (2) ◽  
pp. 71-79 ◽  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Agricultural Land ◽  
Swat Model ◽  
Land Use Changes ◽  
Time Step ◽  
Pinios River ◽  
Monthly Runoff ◽  
The One ◽  
Main Components

This paper investigates the hydrological effects of specific land use changes in a catchment of the river Pinios in Thessaly (Ali Efenti catchment), through the application of the Soil and Water Assessment Tool (SWAT) on a monthly time step. The model's calibration efficiency is verified by comparing the simulated and observed discharge time series at the outlet of the watershed, where long series of hydrometrical data exist. The model is used to simulate the main components of the hydrologic cycle, in order to study the effects of land use changes. Three land use change scenarios are examined, namely (A) expansion of agricultural land, (B) complete deforestation of the Trikala sub-basin and (C) expansion of urban areas in the Trikala sub-basin. All three scenarios resulted in an increase in discharge during wet months and a decrease during dry periods. The deforestation scenario was the one that resulted in the greatest modification of total monthly runoff.

scholarly journals Spatio-Temporal Variation Analysis of Landscape Pattern Response to Land Use Change from 1985 to 2015 in Xuzhou City, China

2018 ◽  
Vol 10 (11) ◽  
pp. 4287 ◽  
Author(s):  
Yantao Xi ◽  
Nguyen Thinh ◽  
Cheng Li
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Urban Areas ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Local Level ◽  
Land Use Changes ◽  
Landscape Patterns ◽  
Rapid Urbanization ◽  
Barren Land

Rapid urbanization has dramatically spurred economic development since the 1980s, especially in China, but has had negative impacts on natural resources since it is an irreversible process. Thus, timely monitoring and quantitative analysis of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential. This study aimed to inspect spatiotemporal characteristics of landscape pattern responses to land use changes in Xuzhou, China durfing the period of 1985–2015. In this context, we propose a new spectral index, called the Normalized Difference Enhanced Urban Index (NDEUI), which combines Nighttime light from the Defense Meteorological Satellite Program/Operational Linescan System with annual maximum Enhanced Vegetation Index to reduce the detection confusion between urban areas and barren land. The NDEUI-assisted random forests algorithm was implemented to obtain the land use/land cover maps of Xuzhou in 1985, 1995, 2005, and 2015, respectively. Four different periods (1985–1995, 1995–2005, 2005–2015, and 1985–2015) were chosen for the change analysis of land use and landscape patterns. The results indicate that the urban area has increased by about 30.65%, 10.54%, 68.77%, and 143.75% during the four periods at the main expense of agricultural land, respectively. The spatial trend maps revealed that continuous transition from other land use types into urban land has occurred in a dual-core development mode throughout the urbanization process. We quantified the patch complexity, aggregation, connectivity, and diversity of the landscape, employing a number of landscape metrics to represent the changes in landscape patterns at both the class and landscape levels. The results show that with respect to the four aspects of landscape patterns, there were considerable differences among the four years, mainly owing to the increasing dominance of urbanized land. Spatiotemporal variation in landscape patterns was examined based on 900 × 900 m sub-grids. Combined with the land use changes and spatiotemporal variations in landscape patterns, urban growth mainly occurred in a leapfrog mode along both sides of the roads during the period of 1985 to 1995, and then shifted into edge-expansion mode during the period of 1995 to 2005, and the edge-expansion and leapfrog modes coexisted in the period from 2005 to 2015. The high value spatiotemporal information generated using remote sensing and geographic information system in this study could assist urban planners and policymakers to better understand urban dynamics and evaluate their spatiotemporal and environmental impacts at the local level to enable sustainable urban planning in the future.

The impact of two decades of land-use changes in potential ecosystem services supply in a Portuguese municipality - Coimbra

2020 ◽  
Author(s):  
Inês Amorim Leitão ◽  
Carla Sofia Santos Ferreira ◽  
António José Dinis Ferreira
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Qualitative Evaluation ◽  
Well Being ◽  
Positive Potential ◽  
The Impact

<p>Land-use changes affect the properties of ecosystems, and are typically associated with decreasing ability to supply services, which in turn causes a decrease in the social well-being. Urbanization is identified as one of the main causes of ecosystem degradation, once it is considered an artificial space that replaces natural areas.This study investigates the impact of land-use changes during 20 years (1995-2015) on the potential supply of ecosystem services in Coimbra municipality, central Portugal. The assessment was based on the evaluation performed by 31 experts familiar with the study area, through questionnaires. The experts ranked the potential supply of 31 ecosystem services, grouped in regulation, provisioning and cultural services, for the several land-uses existent. Experts performed a qualitative evaluation, considering ‘strong adverse potential’, ‘weak adverse potential’, ‘not relevant’, ‘low positive potential’ and ‘strong positive potential’. The qualitative evaluation was converted into a quantitative classification (-2, -1, 0, 1, 2). Quantitative values were then used to develop an ecosystem services quantification matrix and to map the information in the study area, using Geographic Information Systems (GIS). An urban expansion from 14% to 18% was recorded over the last 20 years. Agricultural land decreased 8% due to conversion into forest (4% increase) and urban areas (4% increase). This has led to a decrease in the supply of provision (e.g. food) and regulation services (e.g. flood regulation). In fact, over the last years, recurrent floods have been increasingly noticed in Coimbra city. On the other hand, the growth of forest areas has led to an increase in general ESs supply. The adverse impacts of urbanization were partially compensated by enlarging the benefits provided by forest areas, which is the land-use with greatest ESs potential supply. In order to support urban planning and develop sustainable cities, it is essential to quantify the potential supply of ecosystem services considering local scale and characteristics.</p>

scholarly journals SPATIAL SIMULATION BASED ON GEOGRAPHIC INFORMATION SYSTEM (GIS) AND CELLULAR AUTOMATA (CA) FOR LAND USE CHANGE MODELING IN SINGARAJA CITY AND ITS SURROUNDING AREA

2019 ◽  
Author(s):  
Nyoman Arto Suprapto
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Areas ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Geographic Information ◽  
Spatial Simulation ◽  
Land Use Change Modeling ◽  
The City

Singaraja is the second largest city after Denpasar in Bali. The magnitude of the potential of the region both trade and services, agriculture and tourism in Buleleng Regency has given a very broad impact not only on the economy but also the use of land. Economic development in the city of Singaraja cause some effects such as population growth, an increasing number of facilities (social, economic, health, and others), as well as changes in land use.Changes in land use have a serious impact on the environment in the city of Singaraja. The development of urban areas of Singaraja has given the excesses of increasing the land conversion. Suburb dominated by wetland agriculture has now turned into buildings to meet the needs of shelter, trade and services as well as urban utilities. This study was conducted by mean to determine how changes in land use from agricultural land into build up land during twelve years (period of 2002 - 2014) and the prediction of land use within the next 12 years (period of 2020 and 2026). Prediction of land use changes will be done using spatial simulation method which is integrating Cellular Automata (CA) and Geographic Information Systems (GIS) which analyzed based on land requirement, the driving variable of land use changes (population and road) and the inhabiting variable of land use change (slope steepness and rivers).Keywords : Land Use Change, Land Use Change Modeling, Celullar Automata, GIS

scholarly journals LAND USE CHANGES IN RURAL TOWN: A CASE STUDY OF KUALA NERANG, KEDAH

2020 ◽  
Vol 18 (11) ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Nurul Hanisah Jizan
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Gis Applications ◽  
Rural Town ◽  
Urban And Rural Areas

Urbanization is the process of transforming a characteristically rural society into an urban one. The urban population is growing at an increasing rate while the rural population is declining, giving rise to imbalances in the development between urban and rural areas. The government’s strategy is to distribute the development to the major settlement centres in the rural areas, which are experiencing the same effects of urbanization as the urban areas in terms of changes to the use of land, especially the reduction of agricultural land and the increase in built-up areas. This study used the method of overlay in GIS applications to investigate land use changes, the speed of urban expansion and direction of development that has taken place from the period 2001 to 2018 in the town of Kuala Nerang, Kedah. This town has undergone a change in its status from a main settlement centre to a district administrative centre. Agricultural lands, which were targeted for development in the rural areas, have been converted into built-up areas. The speed of urban expansion has been slow, although some areas have recorded a higher rate. The development is moving towards the west along the main road connecting the major towns in this part of the state. The functions of the district administrative centre have influenced land use changes.

APPLICATION OF GEOGRAPHIC INFORMATION SYSTEM (GIS) AND ANALYTIC HIERARCHY PROCESS (AHP) TECHNIQUE TO STUDY LAND USE CHANGES IN PENDANG, KEDAH

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Kausar Hj Ali ◽  
Wan Mohammad Fazil Asli
Keyword(s):  
Land Use ◽  
Rural Communities ◽  
Land Use Planning ◽  
Rural Areas ◽  
Urban Areas ◽  
Agricultural Land ◽  
Growth Parameters ◽  
Land Use Changes ◽  
Small Towns ◽  
Urban Land Use

Urbanization process has a significant impact on land use planning. It not only affects major cities but also extends to small towns in rural areas where it has a significant role in providing urban services to rural communities. The expansion of urban areas also resulted in the loss of many agricultural lands as well as forests that are rich in natural resources. In both instances, the land use composition is substantially affected. This study uses a "mixed method approach" combining GIS spatial analysis and AHP technique to study land use changes, identify land use growth parameters, determine land use growth suitability areas and identify the direction of urban land use development. The study area is the town of Pendang, which is the main administrative centre for Pendang District, Kedah. The main findings of the study show that changes were not that significant during the period between 2005 to 2012. However, significant land use changes occurred during the period of 2012 to 2020, especially in agricultural land use, vacant land and even water bodies. These land use changes have contributed to the increase in built-up areas. The direction of development is seen heading north, south and southwest of the study area. Accessibility is a major factor influencing the growth of land use and development direction in the study area.

scholarly journals AGRICULTURAL LAND USE CHANGE ANALYSIS USING REMOTE SENSING AND GIS: A CASE STUDY OF ALLAHABAD, INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 397-402 ◽  
Author(s):  
V. Kumar ◽  
S. Agrawal
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Research Work ◽  
Landsat Images ◽  
Change Analysis ◽  
Statistical Research ◽  
Agriculture Land

<p><strong>Abstract.</strong> Urbanization is occurring at a fast rate in India. Population residing in urban areas was 11.4% according to the Census of 1901. This percentage has gradually increased to 31.16% according to the Census of 2011. Conversion of agricultural land into non-agricultural uses is the major side effect of urbanization. The objective of this paper is to identify the changes in the agriculture land and its conversion into other Land Use Land Cover (LULC) type. In order to achieve this objective, mapping of land use changes is done by using the GIS and remote sensing. This study utilizes satellite images along with field survey and statistical data to detect the change of farming land into other LULC type in different tehsils of Allahabad district. This study is carried out over the time period of 18 years that ranges from 2000 to 2018. This work provides the detail of expansion and shrinkage of agriculture and open land at tehsil level. Landsat data is used in this work which is open source and freely downloadable. Landsat images of study period i.e. from 2000 to 2018 are downloaded and then preprocessed. Supervised classification of images is performed using Gaussian maximum likelihood technique. The training samples are collected with the help of ground truth information. After this, identification of land use changes is done on pixel by pixel basis. This would find out the LULC class which is primary responsible for the shrinkage of agriculture land. This spatio-temporal and statistical research work will help to construct a base for a sustainable development model.</p>

scholarly journals Study on the Impact of Land-Use Change on Runoff Variation Trend in Luojiang River Basin, China

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3282
Author(s):  
Ji He ◽  
Yu-Rong Wan ◽  
Hai-Tao Chen ◽  
Wen-Chuan Wang
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Changes ◽  
Runoff Coefficient ◽  
Runoff Variation ◽  
Runoff Change ◽  
The Impact

To reveal the influence process of land use changes on runoff variation trends, this paper takes the Luojiang River of China as the study area, and the Soil and Water Assessment Tool (SWAT) model was constructed to quantitatively analyze the impact of different land uses on runoff formation in the watershed, and used the Cellular Automata-Markov (CA-Markov) model to predict future land use scenarios and runoff change trends. The results show that: (1) the SWAT model can simulate the runoff in the Luojiang River basin; (2) the runoff in the Luojiang River basin has a decreasing trend in recent 10 years, caused by the decrease of rainfall and runoff due to changes in land use; (3) the forecast shows that the land-use changes in the basin will lead to an increase in runoff coefficient in 2025. The increase of the runoff coefficient will bring some adverse effects, and relevant measures should be taken to increase the water storage capacity of urban areas. This study can help plan future management strategies for the study area land coverage and put forward a preventive plan for the possible adverse situation of runoff variation.

scholarly journals Analisis Perubahan Penggunaan Lahan Dan Prediksinya dengan Menggunakan Markov – Cellular Automata Di Wilayah Peri Urban Kota Malang

2021 ◽  
Vol 23 (3) ◽  
pp. 307-319
Author(s):  
Mirza Permana ◽  
Santun Risma Pandopatan Sitorus ◽  
Darmawan Darmawan
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Significant Influence ◽  
Urban Areas ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Spatial Dynamics ◽  
Urban Life ◽  
Unique Region ◽  
The City

Peri Urban Area is a unique region with spatial dynamics that continues to experience changes that have an important role to play in the urban life in the future. There are 8 sub-districts in Malang Regency which are directly adjacent to Malang City and have a significant influence on the development of the city. Objectives of this research are to determine the dynamics of land use change from 2008 - 2018 and to predict land use in 2030. The method used is the analysis of land use changes from landsat TM 8 images in 2008 and 2013 to predict land use in 2018 which then tested the validity to get a level of accuracy. The results showed the development of built-up area has increased by 12% while agricultural land has experienced a declining trend. Significant changes occurred in Singosari, Pakisaji and Karangploso sub-district. Validation of land use between the predictions of 2018 and actual land use in 2018 showed that the value of kappa was quite high, at 87%. The trend of land use in peri-urban areas until the year 2030 is predicted to have built up area of 26,456 ha, which means an increase 17,686 ha (33.6%) from the existing year 2018. The potential incompatibility of the RTRW with the predicted land use in 2030 is 11,950 ha or 22.7%.

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

scholarly journals Changes in Coastal Agricultural Land Use in Response to Climate Change: An Assessment Using Satellite Remote Sensing and Household Survey Data in Tien Hai District, Thai Binh Province, Vietnam

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 627
Author(s):  
Duong H. Nong ◽  
An T. Ngo ◽  
Hoa P. T. Nguyen ◽  
Thuy T. Nguyen ◽  
Lan T. Nguyen ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Management Strategies ◽  
Household Survey ◽  
Extreme Weather Events ◽  
Agricultural Land Use ◽  
Landsat 8 ◽  
Land Uses

We analyzed the agricultural land-use changes in the coastal areas of Tien Hai district, Thai Binh province, in 2005, 2010, 2015, and 2020, using Landsat 5 and Landsat 8 data. We used the object-oriented classification method with the maximum likelihood algorithm to classify six types of land uses. The series of land-use maps we produced had an overall accuracy of more than 80%. We then conducted a spatial analysis of the 5-year land-use change using ArcGIS software. In addition, we surveyed 150 farm households using a structured questionnaire regarding the impacts of climate change on agricultural productivity and land uses, as well as farmers’ adaptation and responses. The results showed that from 2005 to 2020, cropland decreased, while aquaculture land and forest land increased. We observed that the most remarkable decreases were in the area of rice (485.58 ha), the area of perennial crops (109.7 ha), and the area of non-agricultural land (747.35 ha). The area of land used for aquaculture and forest increased by 566.88 ha and 772.60 ha, respectively. We found that the manifestations of climate change, such as extreme weather events, saltwater intrusion, drought, and floods, have had a profound impact on agricultural production and land uses in the district, especially for annual crops and aquaculture. The results provide useful information for state authorities to design land-management strategies and solutions that are economic and effective in adapting to climate change.

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