Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model

2018 ◽  
Vol 644 ◽  
pp. 503-519 ◽  
Author(s):  
Jatin Anand ◽  
A.K. Gosain ◽  
R. Khosa
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Balance ◽  
Swat Model ◽  
Land Use Changes ◽  
Land Change ◽  
Ganga Basin ◽  
Land Change Modeler

scholarly journals Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler

Geographies ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 166-177
Author(s):  
Ibra Lebbe Mohamed Zahir ◽  
Sunethra Thennakoon ◽  
Rev. Pinnawala Sangasumana ◽  
Jayani Herath ◽  
Buddhika Madurapperuma ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Environmental Changes ◽  
Learning Algorithm ◽  
Land Use Changes ◽  
Land Change ◽  
Spatial And Temporal Scales ◽  
Municipal Council ◽  
Land Change Modeler ◽  
Medium Resolution

Land-use change is a predictable and principal driving force of potential environmental changes on all spatial and temporal scales. A land-use change model is a tool that supports the analysis of the sources and consequences of land-use dynamics. This study aims to assess the spatiotemporal land-use changes that occurred during 1990–2020 in the municipal council limits of Batticaloa. A land change modeler has been used as an innovative land planning and decision support system in this study. The main satellite data were retrieved from Landsat in 1990, 2000, 2010, and 2020. For classification, the supervised classification method was employed, particularly with the medium resolution satellite images. Land-use classes were analyzed by the machine learning algorithm in theland change modeler. The Markov chain method was also used to predict future land-use changes. The results of the study reveal that only one land-use type, homestead, has gradually increased, from 12.1% to 34.1%, during the above-mentioned period. Agriculture land use substantially declined from 26.9% to 21.9%. Bare lands decreased from 11.5% to 5.0%, and wetlands declined from 13.9% to 9.6%.

Prediksi Perubahan Lahan Terbangun Dengan OBIA LCM Pada Citra Terfusi di Kota Kendari

2021 ◽  
Vol 5 (2) ◽  
pp. 170
Author(s):  
Adnan Adnan ◽  
Fitra Saleh ◽  
Iradat Salihin
Keyword(s):  
Land Use ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Landsat 8 ◽  
Land Change ◽  
Land Use Classification ◽  
Landsat 8 Oli ◽  
Land Change Modeler ◽  
Two Factors ◽  
Land Changes

Abstrak: Penggunaan lahan disetiap tahunnya akan mengalami perubahan. Perkembangan tersebut bisa jadi tidak terkendali, sehingga perencanaan prediksi perubahan lahan penting untuk dikaji. Dalam memprediksi dapat dilakukan dengan menggunakan citra, khususnya citra Landsat. Penelitian ini bertujuan untuk: (1) distribusi penggunaan lahan terbangun di Kota Kendari pada tahun 2014 dan 2019 dengan metode OBIA pada citra terfusi; (2) melihat arah perubahan penggunaan lahan terbangun di Kota Kendari pada tahun 2024 dan 2029 dengan metode Land Change Modeler (LCM). Metode yang digunakan dalam penelitian ini  yaitu metode klasifikasi penggunaan lahan berbasis piksel OBIA dan pemodelan prediksi perubahan penggunaan lahan Land Change Modeler (LCM). Hasil penelitian ini antara lain: (1) luas lahan terbangun pada tahun 2014 di Kota Kendari seluas 6.061,85 hektar dan luas penggunaan lahan terbangun di Kota Kendari pada tahun 2019 seluas 6.716,96 hektar dengan perubahan penggunaan lahan terbangun tahun 2014 sampai dengan tahun 2019 dengan pertambahan luas 2,43%; (2) Arah perubahan penggunaan lahan terbangun di Kota Kendari diprediksikan cenderung berkembang ke arah Kecamatan Baruga karena dipengaruhi oleh dua faktor yaitu kemiringan lereng dan jaringan jalan. Kata Kunci : Penggunaan Lahan, Landsat 8 OLI, Penajaman Citra, OBIA, LCM Abstract: Land use will change every year. The development may be uncontrollable, so predictive planning of land changes is important to review. In predicting  can be done using  imagery, especially Landsat imagery. This study aims to:(1)  the distribution of land  use  built  in Kendari City in 2014 and 2019 with OBIA method on diffusion imagery; (2) see the direction of land use changes built in Kendari City in  2024 and 2029 with land change modeler  (LCM) method. The methods used in this study are OBIA pixel-based land  use  classification method and land use change prediction modeling land change modeler (LCM).  The results of this study include: (1) land area  built in 2014 in Kendari City aswide as 6,061.85 hectars and land use area built in Kendari City in 2019 aswide as 6,716.96 hectars with land use changes built in 2014 to 2019 with an increase  of  2.43%; (2) The direction of land use changes built in Kendari City  is predicted   to tend to  develop  towards  Baruga Subdistrict because it is influenced by two factors, namely slope and road network. Keywords: Land Use,  Landsat 8 OLI,  Image Sharpening,  OBIA, LCM

scholarly journals Land use changes in Prague suburban area according to different prediction modelling approaches

Geografie ◽  
2015 ◽  
Vol 120 (3) ◽  
pp. 422-443 ◽  
Author(s):  
Magdalena Indrová ◽  
Lucie Kupková
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Use Changes ◽  
Residential Development ◽  
Software Tools ◽  
Suburban Area ◽  
Soil Protection ◽  
Land Change ◽  
Land Change Modeler ◽  
Prediction Modelling

The main objective of this study was to compare the capabilities of the Dyna- CLUE and Land Change Modeler (LCM) software based on the results of land use/cover development predictions in selected cadastres of the Prague suburban area. Time series of land use data, land use plans of the municipalities, and data on soil protection were used for this analysis. Land use prediction maps for the year 2020 were created using both software tools. The results of the comparison showed that the models respect the restriction of development. In accordance with the local land use plans, new residential development was properly allocated. As for commercial areas, the requirements were not completely fulfilled. It is evident that both models are able to produce correct maps of future land use based on specified requirements at the level of several cadastral units (area approx. 2,000 ha). However, the instability of LCM and the necessity of using other software while working with Dyna-CLUE somewhat complicated the work.

scholarly journals Modeling runoff response to land-use changes using the SWAT model in the Mundaú watershed, Brazil

2020 ◽  
Vol 5 (2) ◽  
pp. 194-206
Author(s):  
Carolyne Wanessa Lins de Andrade Farias ◽  
Suzana Maria Gico Lima Montenegro ◽  
Abelardo Antônio de Assunção Montenegro ◽  
José Romualdo de Sousa Lima ◽  
Raghavan Srinivasan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Sediment Yield ◽  
Surface Runoff ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Changes ◽  
Water Yield ◽  
Grazing Land ◽  
Runoff And Sediment Yield

Land-use change has a significant influence on runoff process of any watershed, and the deepening of this theme is essential to assist decision making, within the scope of water resources management. The study was conducted for Mundaú River Basin (MRB) using the Soil and Water Assessment Tool (SWAT) model. The study aims to assess the issue of land-use change and its effect on evapotranspiration, surface runoff, and sediment yield. Input data like land use, topography, weather, and soil data features are required to undertake watershed simulation. Two scenarios of land use were analyzed over 30 years, which were: a regeneration scenario (referring to use in the year 1987) and another scene of degradation (relating to use in the year 2017). Land use maps for 1987 and 2017 were acquired from satellite images. Overall, during the last three decades, 76.4% of forest was lost in the MRB. The grazing land increased in 2017 at a few more than double the area that existed in 1987. Changes in land use, over the years, resulted in an increase of about 37% in the water yield of MRB. Changes have led to increased processes such as surface runoff and sediment yield and in the decrease of evapotranspiration. The spatial and temporal distribution of land use controls the water balance and sediment production in the MRB.

scholarly journals Pemodelan Perubahan Tataguna Lahan Terhadap Debit Banjir DAS Tanggul, Jember Menggunakan Model SWAT (Soil and Water Assessment Tool)

2020 ◽  
Vol 14 (2) ◽  
pp. 154-161
Author(s):  
Diah Ainunisa ◽  
◽  
Gusfan Halik ◽  
Wiwik Yunarni Widiarti ◽  
◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Rainy Season ◽  
Model Calibration ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Changes ◽  
Forest Land ◽  
Water Assessment ◽  
Soil And Water

Population growth is one of the causes of land-use change that can increase runoff. Tanggul watershed is one of the watersheds which often overflows during the rainy season. This study purpose to analyze the effect of land-use changes on runoff in Tanggul watershed using SWAT (Soil and Water Assessment Tool) model. To make sure the performance of SWAT model calibration and classified by the value of NSE and R2. The result of calibration included in a good category and validation included in a very good category. This study was modeling forest land-use change in 2004-2017 to determine the effect of land-use change on runoff. The result in this model of forest land-use change can increase runoff.

Attribution of changes in the water balance of a tropical catchment to land use change using the SWAT model

2017 ◽  
Vol 31 (11) ◽  
pp. 2029-2040 ◽  
Author(s):  
Hero Marhaento ◽  
Martijn J. Booij ◽  
T.H.M. Rientjes ◽  
Arjen Y. Hoekstra
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Balance ◽  
Swat Model

scholarly journals An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

2013 ◽  
Vol 17 (6) ◽  
pp. 2233-2246 ◽  
Author(s):  
P. D. Wagner ◽  
S. Kumar ◽  
K. Schneider
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Water Balance ◽  
Assessment Tool ◽  
Land Use Changes ◽  
Hydrologic Model ◽  
Water Yield ◽  
Catchment Scale ◽  
Basin Scale

Abstract. Land use changes are altering the hydrologic system and have potentially large impacts on water resources. Rapid socio-economic development drives land use change. This is particularly true in the case of the rapidly developing city of Pune, India. The present study aims at analyzing past land use changes between 1989 and 2009 and their impacts on the water balance in the Mula and Mutha Rivers catchment upstream of Pune. Land use changes were identified from three Rivers catchment multitemporal land use classifications for the cropping years 1989/1990, 2000/2001, and 2009/2010. The hydrologic model SWAT (Soil and Water Assessment Tool) was used to assess impacts on runoff and evapotranspiration. Two model runs were performed and compared using the land use classifications of 1989/1990 and 2009/2010. The main land use changes were identified as an increase of urban area from 5.1% to 10.1% and cropland from 9.7% to 13.5% of the catchment area during the 20 yr period. Urbanization was mainly observed in the eastern part and conversion to cropland in the mid-northern part of the catchment. At the catchment scale we found that the impacts of these land use changes on the water balance cancel each other out. However, at the sub-basin scale urbanization led to an increase of the water yield by up to 7.6%, and a similar decrease of evapotranspiration, whereas the increase of cropland resulted in an increase of evapotranspiration by up to 5.9%.

scholarly journals Assessment and prediction of land use changes in the Anzali wetland Basin, Based on Land Change Modeler (LCM)

2019 ◽  
Vol 11 (2) ◽  
pp. 93-114
Author(s):  
رضا شاکری ◽  
کامران شایسته ◽  
مهدی قربانی
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Land Change ◽  
Anzali Wetland ◽  
Land Change Modeler
Sign in / Sign up

Export Citation Format

Share Document