scholarly journals Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 343
Author(s):  
Wiwandari Handayani ◽  
Uchendu Eugene Chigbu ◽  
Iwan Rudiarto ◽  
Intan Hapsari Surya Putri
Keyword(s):  
Land Use ◽  
River Basin ◽  
Spatial Data ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Flood Management ◽  
Spatial Data Analysis ◽  
Northern Coast ◽  
Flood Events ◽  
Central Java

This study explores urbanization and flood events in the northern coast of Central Java with river basin as its unit of analysis. Two types of analysis were applied (i.e., spatial data and non-spatial data analysis) at four river basin areas in Central Java—Indonesia. The spatial analysis is focused on the assessment of LULC change in 2009–2018 based on Landsat Imagery. The non-spatial data (i.e., rural-urban classification and flood events) were overlaid with results of spatial data analyses. Our findings show that urbanization, as indicated by the growth rate of built-up areas, is very significant. Notable exposure to flood has taken place in the urban and potentially urban areas. The emerging discussion indicates that river basins possess dual spatial identity in the urban system (policy- and land-use-related). Proper land use planning and control is an essential instrument to safeguard urban areas (such as the case study area) and the entire island of Java in Indonesia. More attention should be put upon the river basin areas in designing eco-based approach to tackle the urban flood crises. In this case, the role of governance in flood management is crucial.

Flood Management in the Context of Climate and Land-Use Changes and Adaptation Within the Chao Phraya River Basin

2020 ◽  
Vol 15 (5) ◽  
pp. 579-587
Author(s):  
Supattra Visessri ◽  
Chaiwat Ekkawatpanit ◽  
◽  
Keyword(s):  
Land Use ◽  
Natural Disaster ◽  
River Basin ◽  
Monsoon Season ◽  
Land Use Changes ◽  
Flood Management ◽  
Flood Events ◽  
Adaptation Measures ◽  
Flood Impacts ◽  
Chao Phraya River

Floods are a regularly occurring form of natural disaster in Thailand. They commonly occur during the monsoon season. Although the Chao Phraya River basin is strategically important because it accommodates several primary sectors that form the backbone of the Thai economy, it is vulnerable to flooding. The causes of flooding in this basin are both natural and human-induced. Climate and land-use changes are believed to be factors that elevated the severity of recent flood events. In 2011, Thailand suffered the worst floods in half a century; this is ranked as among the top five costliest natural disaster events in modern history. Thailand has developed a number of structural and non-structural measures to prevent devastating flood impacts. This paper reviews the flood management and adaptation measures within the Chao Phraya River basin, serving as a stepping stone towards sustainability.

scholarly journals Analisis Alih Fungsi Lahan di Kabupaten Aceh Selatan

2018 ◽  
Vol 3 (2) ◽  
pp. 400-408
Author(s):  
Riski Yunianda ◽  
Syakur Syakur ◽  
Teti Arabia
Keyword(s):  
Land Use ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Data Analysis ◽  
Agricultural Land Use ◽  
Dry Land ◽  
Land Distribution ◽  
Space Pattern ◽  
Agricultural Use

Abstrak. Seiring terjadinya penyimpangan penggunaan lahan sangat sering terjadi terhadap rencana tata ruang wilayah (RTRW). Daerah pinggiran kota merupakan wilayah yang banyak mengalami perubahan penggunaan lahan terutama perubahan penggunaan lahan pertanian menjadi non pertanian. Penelitian ini bertujuan untuk menganalisis perubahan penggunaan lahan pertanian di Kabupaten Aceh Selatan tahun 2013 dengan tahun 2017 dan menganalisis keselarasan penggunaan lahan pertanian eksisting tahun 2017 dengan pola ruang Kabupaten Aceh Selatan tahun 2013-2033. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan teknik survai. Sedangkan analisis data spasial menggunakan SIG dengan konsep extract, overlay dan intersect. Hasil kajian menunjukkan hasil koreksi pada pengunaan lahan pertanian tahun 2013 dengan tahun 2017 didapatlah luas penggunaan lahan pertanian yang telah beralih fungsi seluas 8.041,56 ha, yang mana pada lahan sawah seluas 3.680,30 ha dan pada pertanian lahan kering seluas 4.361,26 ha. Penggunaan lahan pertanian yang telah beralih fungsi tersebut telah menjadi berbagai macam penggunaan lahan lainnya yang tersebar di seluruh Kabupaten Aceh Selatan, penggunaan lahan pertanian yang selaras dengan rencana pola ruang memiliki luas 36.293,85 ha (91,30%), penggunaan lahan yang tidak selaras yaitu Penggunaan lahan eksisting tidak selaras dengan rencana pola ruang seluas 1.513,53 ha (3,81%), dan belum terlaksana atau belum terealisasi terhadap lahan pertanian yang direncanakan terhadap pola ruang atau masih dapat berubah sesuai dengan rencana pola ruang seluas 6.711,08  ha (14,44 %). Analysis of Functional Land Distribution of Agriculture in District Aceh SelatanAbstract. Absorption of deviation of land use is very frequent to spatial planning (RTRW). Suburban areas are areas that have undergone many changes in land use due to changes in agricultural land use to non-agricultural use. This research was conducted for 2013 with 2017 and analysis of existing agricultural land use in 2017 with South Aceh Regency spatial pattern year 2013-2033. The method used in this research is descriptive method with survey technique. While spatial data analysis using GIS concept with overlay and intersect concept. The results showed that agricultural land in 2013 with the year 2017 obtained the wide use of agricultural land that has a function conversion of 8,041.56 ha, which in the rice field area of 3,680.30 ha and on dry land of 4,361.26 ha. The use of converted agricultural land into various land uses scattered throughout the District of South Aceh, different use of agricultural land with plans of wide spatial pattern 36,29,85 ha (91,30%), land use that is not aligned Land use the existing is not aligned with the plan of the pattern of the space of 1,513.53 ha (3.81%), and has not been realized or not yet realized on agricultural land that allows the pattern of space can be changed in accordance with the Plan of Space Pattern covering 6,711,08 ha (14,44%).

scholarly journals Relationships between landslides and land use changes in the Sanbagawa and Mikabu Belts, Shikoku, Japan

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Roxanne Lai ◽  
Takashi Oguchi
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Landslide Susceptibility ◽  
Urban Areas ◽  
Land Use Changes ◽  
Land Abandonment ◽  
Crystalline Schist ◽  
Agricultural Abandonment ◽  
Landslide Kinematics

<p><strong>Abstract.</strong> Changing land use is an increasingly important issue as human habits, behaviors, and needs change. There has been an increase in land and agricultural abandonment in some places of the world. In Japan, movement of the population from rural to urban areas have resulted in much land and agricultural abandonment. In 2016, a land ministry survey showed that 4.1 million hectares of land in Japan had unclear ownership, with farmland making up 16.9% of the total. As vegetation cover changes after land abandonment, this temporal and spatial effect may have important effects on geomorphic processes such as landslide susceptibility and landslide kinematics.</p><p>Here we track long-term land use changes over vegetated landslide areas of the Sanbagawa and Mikabu Belts of Shikoku Island, Japan. The Sanbagawa and Mikabu Belts are metamorphic belts that run across Southwest Japan, and are home to numerous large crystalline schist landslides, including the widely-studied slow but continuously moving Zentoku landslide. Villages and communities have been built on these landslide areas due to historical and cultural factors, as well as the fertility of the soil. Consequently, given the changing land uses including land abandonment in these landslide areas over time, we use long-term high-resolution land cover vegetation datasets to examine first the long-term land use changes, and then use statistical methods to explore their relationships with landslide susceptibility and kinematics. Mapping of spatial data and their analysis using GIS constitute a core part of the research. The results suggest interconnections between land use changes and land movement.</p>

scholarly journals Land and Forest Management by Land Use/ Land Cover Analysis and Change Detection Using Remote Sensing and GIS

2016 ◽  
Vol 9 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Forest Management ◽  
Land Cover ◽  
Spatial Data ◽  
Management Strategies ◽  
Geographical Information ◽  
Spatial Data Analysis ◽  
Study Region ◽  
Rugged Terrain

Abstract Remote sensing and Geographical Information System (GIS) are the most effective tools in spatial data analysis. Natural resources like land, forest and water, these techniques have proved a valuable source of information generation as well as in the management and planning purposes. This study aims to suggest possible land and forest management strategies in Chakia tahsil based on land use and land cover analysis and the changing pattern observed during the last ten years. The population of Chakia tahsil is mainly rural in nature. The study has revealed that the northern part of the region, which offers for the settlement and all the agricultural practices constitutes nearly 23.48% and is a dead level plain, whereas the southern part, which constitute nearly 76.6% of the region is characterized by plateau and is covered with forest. The southern plateau rises abruptly from the northern alluvial plain with a number of escarpments. The contour line of 100 m mainly demarcates the boundary between plateau and plain. The plateau zone is deeply dissected and highly rugged terrain. The resultant topography comprises of a number of mesas and isolated hillocks showing elevation differences from 150 m to 385 m above mean sea level. Being rugged terrain in the southern part, nowadays human encroachment are taking place for more land for the cultivation. The changes were well observed in the land use and land cover in the study region. A large part of fallow land and open forest were converted into cultivated land.

scholarly journals Spatial Paradigms in Road Networks and Their Delimitation of Urban Boundaries Based on KDE

2020 ◽  
Vol 9 (4) ◽  
pp. 204 ◽  
Author(s):  
Yuying Lin ◽  
Xisheng Hu ◽  
Mingshui Lin ◽  
Rongzu Qiu ◽  
Jinguo Lin ◽  
...  
Keyword(s):  
Spatial Data ◽  
Rural Areas ◽  
Urban Areas ◽  
Critical Role ◽  
Road Networks ◽  
Spatial Data Analysis ◽  
Easy Method ◽  
Study Region ◽  
Entire Study ◽  
Depth Analysis

An in-depth analysis of urban road network distribution plays a critical role in understanding the urbanization process. However, effective ways to quantitatively analyze the spatial paradigms of road networks are still lacking, and few studies have utilized road networks to rapidly identify urban areas of a region. Thus, using a fast-developing region in the south-eastern costal region of China, Fuzhou City, as a case, we introduced kernel density estimation (KDE) to characterize road networks and quantified the area’s spatial heterogeneity using exploratory spatial data analysis (ESDA) and semivariance analysis (SA). The results show that there is an uneven spatial distribution of the networks both at the regional and downtown levels. At the regional level, there is a conspicuous polarization in the road distribution, with the KDE being much higher in the urban areas than in the rural areas; at the downtown level, the KDE gradually decreases from the center to the periphery. Quantitatively, the ranges of the spatial dependence of the networks are approximately 25 km for the entire study region and 12 km for the downtown area. Additionally, the spatial variations vary among different directions, with greater variations in the northeast–southwest and the southeast–northwest directions compared with the other directions, which is in line with the urban sprawl policy of the study area. Both the qualitative and quantitative results show that the distribution of road networks has a clear urban–rural dual structure, which indicates that road networks can be an active tool in identifying the urban areas of a region. To this end, we propose a quick and easy method to delimit urban areas using KDE. The extraction results of KDE are better than those of the index-based built-up index (IBI), indicating the effectivity and feasibility of our proposed method to identify the urban areas in the region. This research sheds new light on urbanization development research.

scholarly journals Integration of hillslope hydrology and 2D hydraulic modelling for natural flood management

2019 ◽  
Vol 50 (6) ◽  
pp. 1535-1548 ◽  
Author(s):  
Barry Hankin ◽  
Peter Metcalfe ◽  
Keith Beven ◽  
Nick A. Chappell
Keyword(s):  
Spatial Data ◽  
Flood Management ◽  
Flow Equation ◽  
Tree Planting ◽  
Spatial Data Analysis ◽  
Generation Model ◽  
Runoff Generation ◽  
Complex Behaviour ◽  
Flood Peak ◽  
Antecedent Moisture

Abstract Natural flood management (NFM) has recently invigorated the hydrological community into redeploying its process understanding of hydrology and hydraulics to try to quantify the impacts of many distributed, ‘nature-based’ measures on the whole-catchment response. Advances in spatial data analysis, distributed hydrological modelling and fast numerical flow equation solvers mean that whole-catchment modelling including computationally intensive uncertainty analyses are now possible, although perhaps the community has not yet converged on the best overall parsimonious framework. To model the effects of tree-planting, we need to understand changes to wet canopy evaporation, surface roughness and infiltration rates; to model inline storage created by ‘leaky barriers’ or offline storage, we need accurate channel hydraulics to understand the changes to attenuation; to model the complex behaviour of the whole network of NFM measures, and the possibility of flood peak synchronisation effects, we need efficient realistic routing models, linked to key flow pathways that take into account the main physical processes in soils and the antecedent moisture conditions for a range of different rainfall events. This paper presents a new framework to achieve this, based on a cascade of the Dynamic Topmodel runoff generation model and the JFlow or HEC-RAS 2D hydraulic models, with an application to the Swindale Catchment in Cumbria, UK. We demonstrate the approach to quantify both the effectiveness of a relatively large ‘runoff attenuation feature’ in the landscape and the uncertainty in the calculation given model parameter uncertainty.

scholarly journals ESDA (Exploratory Spatial Data Analysis) of Vegetation Cover in Urban Areas—Recognition of Vulnerabilities for the Management of Resources in Urban Green Infrastructure

2020 ◽  
Vol 12 (5) ◽  
pp. 1933
Author(s):  
Ana Clara M. Moura ◽  
Bráulio M. Fonseca
Keyword(s):  
Data Analysis ◽  
Population Density ◽  
Spatial Data ◽  
Green Infrastructure ◽  
Vegetation Cover ◽  
Urban Areas ◽  
Spatial Behavior ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Local Index

From the mapping of urban vegetation cover by high-resolution orthoimages, using IR band and NDVI classification (Normalized Difference Vegetation Index), added to three-dimensional representation obtained by LiDAR capture (Light Detection and Ranging), the volumetric values of vegetal cover are obtained as a base to construct spatial analysis in the district of Pampulha, in Belo Horizonte, investigating the role it plays in the neighborhood. The article aims to analyze the relationship between vegetation cover, income distribution and population density, as a support to urban environmental quality management. It applies Exploratory Spatial Data Analysis (ESDA) to identify the presence of clusters and patterns of spatial distribution and to examine spatial autocorrelation. The results confirm the concentration of vegetation cover in areas of high income and lower population density but the main contribution of the study is the use of a method to analyze the spatial behavior of this distribution. Calculating Moran global index and local index (LISA), these spatial combinations are mainly used to identify transformation pressures, which may result in the definition of priorities for public actions and the construction of proposals for parameterization of vegetation cover to support plans related to green infrastructure in urban areas.

Quantifying Consequences of Land Use and Rainfall Changes on Maximum Flood Peak in the Lower Nam Phong River Basin

2014 ◽  
Vol 931-932 ◽  
pp. 791-796 ◽  
Author(s):  
Kittiwet Kuntiyawichai ◽  
Winai Sri-Amporn ◽  
Chadchai Pruthong
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Changes ◽  
Correlation Coefficients ◽  
Extreme Rainfall ◽  
Flood Management ◽  
Return Periods ◽  
Flood Peak ◽  
Flood Impacts ◽  
Projected Changes

When the severity of exposure to flood is being addressed, several related concerns have always been raised to draw attention on a growing flood threat. In relation to this, the extraordinary insight into the seriousness of land use and rainfall changes that could greatly exacerbate flood impacts would need to be highlighted. The importance of the aforementioned issue lies in the main objective of quantifying consequences of how changes in land use and rainfall affect the hydrological processes in the lower Nam Phong River Basin. The use of Hydrologic Modeling System (HEC-HMS) simulation model would add robustness and predictability to the overall results. It was apparent from the calibration and validation processes that there are reasonably close agreement between observed and simulated discharges at Ban Nong Hin gauging station (E.22A), with good correlation coefficients (ENS= 0.78, r2= 0.81 and ENS= 0.77, r2= 0.82, respectively). Thereafter, different what-if scenarios were conducted to determine impacts of land use changes in 2001, 2011 and 2057 and extreme rainfall with different return periods of 10-, 50-and 100-years on hydrological responses. A slight increase in peak flows were equal to 4% and 1%, as a consequence of the change from 2001 land use conditions to 2011 and 2057, respectively. Conversely, a large increase in peak discharges was expected to be 13%, 20% and 27% when the 2001 rainfall event was adjusted to the projected changes in rainfall corresponding to 10-, 50-and 100-year return periods, respectively. In brief, insignificant relation between hydrological response and land use changes was obviously found, but it was of particular significance due to changes in rainfall extremes. Taken together, obtained findings can then be used as a baseline for water resources planning, development and management, as well as flood management perspective.

scholarly journals Analisis Distribusi Serangga Tanah Jalan MT Haryono dan Tlogomas Malang

Biota ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 139-150
Author(s):  
Hasan Zayadi ◽  
Nurul Jadid Mubarakati
Keyword(s):  
Spatial Data ◽  
Urban Areas ◽  
Spatial Data Analysis ◽  
Shade Trees ◽  
Ecosystem Research ◽  
H Index ◽  
Attribute Data ◽  
Paratrechina Longicornis ◽  
Soil Insects ◽  
Number Of Individuals

Vegetation in urban areas can be viewed, as compensation for environmental change due to urbanization of plant diversity affecting the diversity of animals in an ecosystem, the loss of plant species will disrupt the food webs in the ecosystem. Research on the diversity of soil insects found in shade trees species is still not widely done. The purpose of this study were to identify the types of soil insects found in shade trees along Dinoyo and Tlogomas roadside in sub-district of Lowokwaru, Malang and to characterize spatial distribution of soil insect species found in shade trees along Dinoyo and Tlogomas roadside in sub-district of Lowokwaru Malang by using GIS application. Sampling was conducted at two different locations (MT Haryono and Tlogomas Road). Soil insect analysis was calculated using Shannon-Wiener (H') index at different sites. Variables measured were Relative Frequency (FR) and Relative Abundance (KR), while mapping Spatial descriptions. Distribution of soil insects was done by stages in spatial data analysis including digitization, attribute data, map overlay, and map output results. The results of this study obtained the number of species of soil insects as many as 14 species with a total of 287 individuals. Soil insects most commonly found were family Formicidae, the species of Momorium destructor with the number of individuals as much as 87 individuals, and Paratrechina longicornis as many as 86 individuals.

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