PEMANTAUAN PERUBAHAN GUNA TANAH MENGGUNAKAN APLIKASI PENDERIAAN JAUH DI PENAMPANG, SABAH

2020 ◽  
Vol 6 (1) ◽  
pp. 219-237
Author(s):  
Antonio Asik ◽  
Abdul Munir Hafizy Ladoni
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Development Process ◽  
Local Community ◽  
Land Use Changes ◽  
Well Being ◽  
Factors Affecting ◽  
Structure Changes ◽  
Erdas Imagine ◽  
Land Use Development

Penampang merupakan sebuah daerah yang terletak di bahagian Pantai Barat Negeri Sabah, berkeluasan 466 198 km2 dan telah mengalami proses pembangunan yang aktif semenjak beberapa tahun yang lalu. Kajian dilaksanakan bertujuan mengenalpasti pola perubahan guna tanah di daerah Penampang bagi tahun 2008 dan 2014 serta menentukan jenis guna tanah yang terdapat di kawasan kajian. Di samping itu, Kajian ini turut mengenalpasti implikasi dan faktor yang mempengaruhi perubahan guna tanah di kawasan kajian. Hal ini penting kerana perubahan guna tanah yang drastik memerlukan kajian dari semasa ke semasa bagi melihat sektor yang berperanan dalam meningkatkan perubahan struktur ekonomi dan telah melibatkan perubahan guna tanah secara keseluruhannya. Kajian ini mengaplikasikan kaedah Klasifikasi Terselia dan diproses dalam perisian Erdas Imagine 2014 untuk tujuan analisis. Hasil kajian mendapati guna tanah di daerah Penampang telah mengalami perubahan yang amat besar sepanjang tempoh kajian. Guna tanah yang telah mengalami perubahan ketara adalah hutan, tepu bina, kawasan lapang dan badan air. Penemuan kajian turut menunjukkan bahawa terdapat beberapa faktor yang mempengaruhi perubahan guna tanah serta wujud implikasi ke atas perubahan tersebut. Kajian ini juga mendapati pendekatan penderiaan jauh sesuai untuk diaplikasikan dalam kajian berkaitan perubahan guna tanah. Justeru itu, perancangan dan pengurusan yang sistematik dan efektif perlu dilaksanakan bagi mengawal pembangunan guna tanah di daerah Penampang. Ini penting kerana ia bukan sahaja sebagai petunjuk pembangunan dari perspektif fizikal, tetapi juga petunjuk kepada kesejahteraan awam terutamanya masyarakat setempat agar proses pembangunan berjalan secara terancang dan tidak mendatangkan kesan sampingan kepada persekitaran fizikal untuk generasi akan datang. enampang is a district located at the West Coast of the State of Sabah, with area of ​​466 198 km2 and has undergone an active development process for the past few years. This study was conducted to identify patterns of land use change in the Penampang for 2008 and 2014 and to determine the type of land use in the study area. In addition, to identify the implications and factors affecting land use change. This is important because drastic land use changes were needed from time to time to look at sectors that play a role in enhancing economic structure changes and involved land use changes as a whole. This study applies the Supervised Classification method and process in the Erdas Imagine 2014 software for analysis. The results show that land use in the Penampang area has undergone significant changes over the years. Land uses that have undergone significant changes are forests, wetlands, open spaces and water bodies. The findings of the study also show that there several factors that influence land use change and its implications. Besides, the sensing approach is well suited for application in land use changes studies. Therefore, systematic planning and management must implement to control land use development in Penampang district. This is important, not only a guide to development from a physical perspective, but also a guide to the well-being of the public and local community so that development process goes smoothly and has no adverse effect on physical environment for future generations.

scholarly journals Land Use Change in East Guilan and its Consequences

2020 ◽  
Vol 4 (2) ◽  
pp. 135-148
Author(s):  
Hasan Afrakhteh ◽  
◽  
Mohammad Ali Rahimi pour Sheeikhani nejad ◽  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Changes ◽  
Population Pressure ◽  
Factors Affecting ◽  
Grounded Theory Method ◽  
Technological Developments ◽  
Development Plans ◽  
Change State ◽  
The One

These issues and the economic instability resulting from the implementation of neoliberal policies have led to the commodification of land and housing, which has attracted capital. One of the main consequences of such a situation is that on the one hand, the destruction of natural resources, land erosion, environmental degradation and the occurrence of devastating floods have been increased, and on the other hand, unjustified class division and transfer of villagers from productive activities to unproductive businesses, such as security guard, villa caretakers and services of travel and transportation companies, have endangered the social and food security of Iran. In this article, land use change has been studied using satellite images of East Guilan (Lahijan, Siahkal, Ashrafieh and Langrood counties) in 1989, 2000 and 2015. The information needed to identify the factors affecting land use change has been collected through visits, purposeful interviews in different parts of the area, and the study of written sources and archives of local offices. These data were analyzed using the "grounded theory" method in the Max Kiuda system. Findings show that land use changes in the region are related to various ecological, social, economic and political factors. Increased population pressure along with technological developments, land use policies, development plans, investments, land speculation and personal exploitation have each had some effect on land use change. State of nature has little dependence on tax revenues due to its natural resource revenues; As a result, it is not accountable.

scholarly journals Assessment of climate change and land use development effects on dam reliability

2016 ◽  
Author(s):  
P. Taherei Ghazvinei ◽  
H. Hassanpour Darvishi ◽  
R. B. Hashim ◽  
S. H. Musavi Jahromi ◽  
N. Aghamohammadi
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Land Use Changes ◽  
Storm Event ◽  
Modified Technique ◽  
Intensity Duration Frequency ◽  
Land Use Development ◽  
Dam Overtopping ◽  
Earth Fill

Abstract. The purpose of this study was to assess long-term impacts of climate and land use change on a catchment runoff and dam overtopping dam reliability. Long hydrological time series (30 years) from six rainfall stations and one stream flow stations were analysed. A methodology combining common statistical methods with hydrological modelling was adopted in order to distinguish between the effects of climate and land use change and to present probabilistic assessment of overtopping reliability of the selected earth-fill dam. It is important to ensure that extreme meteorologically induced flood rises do not exceed dam crest level. Considering climate change factor, intensity-duration-frequency curves of the catchment were updated. In addition, in consistency with the areal development plan, year of 2020 was targeted to evaluate the effect of land use changes on the generation of storm runoff. Accordingly, compared with current imperviousness it was found that the areal imperviousness will be increased up to 4.5 % by the year of 2030. Step-by-step procedures were carried out in tandem to evaluate the hydrological performance of the spillway capacity in light of an extreme storm event of PMP / PMF magnitude. The HEC-HMS was applied to transform the PMPs to PMFs and estimate the outflows and corresponding flood rises over the crest level for all durations. A conventional reservoir routing procedure with modified technique was then carried out for all PMP / PMF durations; i.e., 1 to 120 h. Three cases of different floods were performed where the last case represented the most severe flood on the dam reservoir. The simulations indicated that the flood rises for all durations were lower than the embankment crest level. Although results showed marginally adequate capacity to allow safe passage of flood water of PMP / PMF magnitude, the dam safety in hydrological aspect was assured.

Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Matheus Supriyanto Rumetna ◽  
Eko Sediyono ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Autocorrelation ◽  
Land Use Changes ◽  
Geographical Information ◽  
Moran’S I ◽  
Complete Spatial Randomness ◽  
Moran's I ◽  
Global Moran’S I ◽  
Spatial Randomness

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.

scholarly journals Land-Use Change Impacts from Sustainable Hydropower Production in EU28 Region: An Empirical Analysis

2021 ◽  
Vol 13 (9) ◽  
pp. 4599
Author(s):  
Mohd Alsaleh ◽  
Muhammad Mansur Abdulwakil ◽  
Abdul Samad Abdul-Rahim
Keyword(s):  
Carbon Dioxide ◽  
Land Use ◽  
European Union ◽  
Land Use Change ◽  
Carbon Dioxide Emissions ◽  
Energy Production ◽  
Land Use Changes ◽  
Ordinary Least Squares ◽  
The European Union ◽  
Hydropower Production

Under the current European Union (EU) constitution approved in May 2018, EU countries ought to guarantee that estimated greenhouse-gas releases from land use, land-use change, or forestry are entirely compensated by an equivalent accounted removal of carbon dioxide (CO2) from the air during the period between 2021 and 2030. This study investigates the effect of sustainable hydropower production on land-use change in the European Union (EU28) region countries during 1990–2018, using the fully modified ordinary least squares (FMOLS). The results revealed that land-use change incline with an increase in hydropower energy production. In addition, economic growth, carbon dioxide emissions, and population density are found to be increasing land-use changes, while institutional quality is found to be decreasing land-use change significantly. The finding implies that land-use change in EU28 region countries can be significantly increased by mounting the amount of hydropower energy production to achieve Energy Union aims by 2030. This will finally be spread to combat climate change and environmental pollution. The findings are considered robust as they were checked with DOLS and pooled OLS. The research suggests that the EU28 countries pay attention to the share of hydropower in their renewable energy combination to minimize carbon releases. Politicians and investors in the EU28 region ought to invest further in the efficiency and sustainability of hydropower generation to increase its production and accessibility without further degradation of forest and agricultural conditions. The authorities of the EU28 region should emphasize on efficiency and sustainability of hydropower energy with land-use management to achieve the international commitments for climate, biodiversity, and sustainable development, reduce dependence on fossil fuel, and energy insecurity.

scholarly journals Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3473
Author(s):  
Yong Lai ◽  
Guangqing Huang ◽  
Shengzhong Chen ◽  
Shaotao Lin ◽  
Wenjun Lin ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Connectivity ◽  
Land Use Changes ◽  
Research Result ◽  
Global Environmental Change ◽  
Ecological Processes ◽  
Buffer Zones ◽  
Conflict Zones ◽  
Land Use Dynamics

Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.

The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE

2021 ◽  
Author(s):  
Peter H. Verburg ◽  
Žiga Malek ◽  
Sean P. Goodwin ◽  
Cecilia Zagaria
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Use Changes ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Regional Modelling ◽  
Model Application ◽  
Climatic Regions ◽  
Single Region

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

scholarly journals Strong increases in flood frequency and discharge of the River Meuse over the late Holocene: impacts of long-term anthropogenic land use change and climate variability

2008 ◽  
Vol 12 (1) ◽  
pp. 159-175 ◽  
Author(s):  
P. J. Ward ◽  
H. Renssen ◽  
J. C. J. H. Aerts ◽  
R. T. van Balen ◽  
J. Vandenberghe
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Climate Model ◽  
Land Use Changes ◽  
Winter Precipitation ◽  
Flood Frequency ◽  
High Flow ◽  
Recurrence Time ◽  
Strong Increase ◽  
Historical Sources

Abstract. In recent years the frequency of high-flow events on the Meuse (northwest Europe) has been relatively great, and flooding has become a major research theme. To date, research has focused on observed discharge records of the last century and simulations of the coming century. However, it is difficult to delineate changes caused by human activities (land use change and greenhouse gas emissions) and natural fluctuations on these timescales. To address this problem we coupled a climate model (ECBilt-CLIO-VECODE) and a hydrological model (STREAM) to simulate daily Meuse discharge in two time-slices: 4000–3000 BP (natural situation), and 1000–2000 AD (includes anthropogenic influence). For 4000–3000 BP the basin is assumed to be almost fully forested; for 1000–2000 AD we reconstructed land use based on historical sources. For 1000–2000 AD the simulated mean annual discharge (260.9 m3 s−1) is significantly higher than for 4000–3000 BP (244.8 m3 s−1), and the frequency of large high-flow events (discharge >3000 m3 s−1) is higher (recurrence time decreases from 77 to 65 years). On a millennial timescale almost all of this increase can be ascribed to land use changes (especially deforestation); the effects of climatic change are insignificant. For the 20th Century, the simulated mean discharge (270.0 m3 s−1) is higher than in any other century studied, and is ca. 2.5% higher than in the 19th Century (despite an increase in evapotranspiration). Furthermore, the recurrence time of large high-flow events is almost twice as short as under natural conditions (recurrence time decreases from 77 to 40 years). On this timescale climate change (strong increase in annual and winter precipitation) overwhelmed land use change as the dominant forcing mechanism.

scholarly journals DOMINANT FACTORS CHANGE OF LAND FUNCTION IN RAPUAN ROAD CORRIDOR UBUD BALI DUE TO TOURISM ACTIVITIES

ASTONJADRO ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Ni Nyoman Samitri Putri ◽  
Ngakan Ketut Acwin Dwijendra
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Descriptive Analysis ◽  
Land Use Changes ◽  
Secondary Data ◽  
Rice Fields ◽  
Internal Factors ◽  
Tourist Destinations ◽  
Tourist Accommodation ◽  
Collection Methods

<p>Bali is the most popular tourist destination with Ubud one of the tourist destinations with its beautiful landscapes and rice fields. Mas Village, Ubud is one of the tourist villages that has been inaugurated by the Gianyar Regency Government based on the Decree of the Gianyar Regent Number 429/E-02/HK/2017 regarding the establishment of a Tourism Village. Jalan Rapuan which is located in Tarukan Tourism Village, Mas is one of the strategic corridors in Mas Tourism Village because it is a stretch of rice fields that has a high tourism selling value. The purpose of this study is to identify changes in land use in 2013-2021 due to tourism activities seen from the aspects that have a dominant influence on land use changes. Quantitative method is the method used with primary and secondary data collection methods and stages of analysis in the form of descriptive analysis of tourism activities in Mas Village, statistical-descriptive analysis of land use change with overlay analysis on the Jalan Rapuan corridor. The results showed that there was a change in land use along the Rapuan corridor in 2013-2021 by 14% of the non-built land to be built in the form of tourist accommodation and housing. The indicators analyzed by factor analysis were able to explain important factors, namely external factors of 31.69%, internal factors of 23.821% and regulatory factors of 17.218% with a total of factors able to explain land use change of 72.73%.</p>

scholarly journals The effect of land-use change on river watershed quality (case study: Cimahi Watershed, West Java, Indonesia)

2021 ◽  
Vol 933 (1) ◽  
pp. 012010
Author(s):  
S A Nurhayati ◽  
M Marselina ◽  
A Sabar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Pearson Correlation ◽  
Land Use Changes ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Watershed Area ◽  
Watershed Land Use ◽  
Main River

Abstract Increasing population growth is one of the impacts of the growth of a city or district in an area. This also happened in the Cimahi watershed area. As the population grows, so does the need for land which increases the land-use change in the Cimahi watershed. Land-use changes will affect the surrounding environment and one of them is the river, especially river water quality. As a watershed area, there is one main river that is the source of life as well as the Cimahi watershed, whose main river is the Cimahi River. The purpose of this study was calculated the relationship between land-use change in the Cimahi watershed and the water quality parameters of the Cimahi River. The correlation between the two was calculated using Pearson correlation. Water quality parameters can be seen based on BOD and DO values. BOD and DO values are the opposite because good water quality has high DO values and low BOD values. The correlation between land-use change and BOD was 0.328 is in the area of settlements area. In contrast, to DO values, an increase in settlements/industrial zones will further reduce DO values so that both have a negative correlation, which is indicated by a value of -0,535. The correlation between settlements with pH and temperature values is 0.664 and 0.812. While the correlation between settlements with TSS and TDS values are 0.333 and 0.529, respectively. In this study, it can be seen that there is a relationship between the decline in water quality and changes in land use.

scholarly journals Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities

2021 ◽  
pp. 129-144
Author(s):  
L. Ortiz ◽  
A. Mustafa ◽  
B. Rosenzweig ◽  
Timon McPhearson
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Numerical Models ◽  
Flood Hazards ◽  
Ancillary Data ◽  
Road Systems ◽  
Urban Futures ◽  
Land Use Development

AbstractCities are complex systems where social, ecological, and technological processes are deeply coupled. This coupling complicates urban planning and land use development, as changing one facet of the urban fabric will likely impact the others. As cities grapple with climate change, there is a growing need to envision urban futures that not only address more frequent and intense severe weather events but also improve day-to-day livability. Here we examine climate risks as functions of the local land use with numerical models. These models leverage a wide array of data sources, from satellite imagery to tax assessments and land cover. We then present a machine-learning cellular automata approach to combine historical land use change with local coproduced urban future scenarios. The cellular automata model uses historical and ancillary data like existing road systems and natural features to develop a set of probabilistic land use change rules, which are then modified according to stakeholder priorities. The resulting land use scenarios are evaluated against historical flood hazards, showcasing how they perform against stakeholder expectations. Our work shows that coproduced scenarios, when grounded with historical and emerging data, can provide paths that increase resilience to weather hazards as well as enhancing ecosystem services provided to citizens.

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