Adaptation and Coastal Management in Disaster Areas (Study in the Coast of Depok Beach, Yogyakarta)

Sinop is a province located at the Black Sea region and it is rich in scenic beauty and cultural values and has potential touristic resources. Moreover, it is one of the most prominent port towns in the Black Sea region. The area, which can be qualified as the most important and prominent image region of the city, comprise the coastal land use line of the province. However, the city fails to utilize this advantage. The master plan of the city has substantially changed through the years. The present study aimed to determine the changes in the master plans of the city through the years, the distribution of the coastal land use areas and changes in the utilization of the coastal areas through the years. Evaluating the current administrative competence/constraints in the coastal area with respect to the data obtained in the study is also among the goals of the study. Furthermore, by taking the impact of environmental factors on the ratio of the land use areas into consideration, examining these data in terms of coastal management planning to create habitats that better suit the vital requirements is another prospect of the study. In addition, the evaluation of some coastal area-associated issues including the extent of the effect of current erosion issues on the development of the coastal area was also included in the study. The percentage of the current functional coastal areas in the province, the distribution of the number of building floors and the changes in these data by years were also investigated. For these evaluations, zoning revisions and 1/2000, 1/5000 and 1/10000 maps were examined to determine the coastal area zoning changes and filling areas. Fieldworks were carried out in the coastal area of the city to determine and observe the state of the area. The data was collected by contacting relevant institutions and organizations and carrying out fieldworks. Considering the data obtained in the study, measures to remedy the zoning deficiencies in the coastal area and the city center were proposed. The obtained data and evaluations obtained revealed that the province is in need of new and sustainable planning and there is a necessity to include implementations that are based on integrated coastal area management principals.

Protecting coastal wetlands in a changing climate: reinvigorating integrated coastal zone governance

Indonesia’s small islands have a high potential for multi coastal hazards, including tsunami and coastal floods due to sea-level rise and tidal waves. Meanwhile, most small island populations live in coastal areas, which increases the potential for disaster risk. Hazard assessment is one of the essential stages and bases in disaster management. This study focuses on tsunami and coastal flood hazards modeling in Ternate Island and analyzing the potential impact on coastal land use. This research combined detailed remote sensing data and geographic information system methods to assess the coastal hazard models. A very detailed resolution remote sensing imagery of Pleiades and detail resolution imagery of SPOT 7 are used as input for physical parameter extraction. DEMNAS (Digital Elevation Models Nasional) data as a topographic parameter is used in potential tsunami and coastal flood hazard area coverage. A numerical model is applied to assess the tsunami hazard model using surface roughness, slope, and run-up scenarios based on historical data. At the same time, the coastal flood model integrates sea level rise parameters and average tidal waves. The research results are believed to contribute as important input data for disaster management based on the sister island concept in Indonesia.

Coastline and coastal areas are not only the supports for local economics based on fisheries and agriculture, but also, a source of food and energy, apart from offering diverse opportunities for recreation and tourism. Moreover, they provide protection to coastlines against storms and other meteorological perturbations. Coastline mapping and coastline change detection are critical for coastal resource management, coastal environmental protection and sustainable coastal development and planning. Changes in the shape of coastline may fundamentally affect the environment of the coastal zone. These may be caused by natural processes and human activities. The coastal areas of Turkey have been under an intensive restraint associated with a population press due to the internal and external touristic demands. Aerial photos with a medium spatial resolution and high resolution satellite imagery are ideal data sources for mapping coastal land use and monitoring their changes for a large area. This research is focused on the coastline monitoring and its potential change estimation by digital photogrammetry techniques using aerial data images at the eastern coasts of the Black Sea in Turkey. The study area includes the coastal zone located in Samsun, Turkey coasts. The aim of this study is to analyze coastline changes in 1935, 1972 and 2006 in Samsun, using aerial data images. Results show that digital photogrammetry, which is using the images as data source, are an effective approach for monitoring coastal land use status of large area, and over 95.32 ha areas were filled up along the coastal land between the 1935 - 1972 periods and over 70.74 ha areas were filled up along the coastal land between the 1972 - 2006 periods in the study area. Consequently, coastal land use change monitoring is necessary for coastal area planning in order to protect coastal areas from climate changes and other coastal processes. It is found that significant changes in land cover occurred during the study period. Key words: Coast, coastline, digital photogrammetry, aerial photos, coastal mapping, coastal area.

Spatiotemporal changes of coastal land use land cover and its drivers in Shanghai, China between 1989 and 2015

Coastline mapping and coastline change detection are critical issues for safe navigation, coastal resource management, coastal environmental protection, and sustainable coastal development and planning. Changes in the shape of coastline may fundamentally affect the environment of the coastal zone. This may be caused by natural processes and/or human activities. Over the past 30 years, the coastal sites in Turkey have been under an intensive restraint associated with a population press due to the internal and external touristic demand. In addition, urbanization on the filled up areas, settlements, and the highways constructed to overcome the traffic problems and the other applications in the coastal region clearly confirm an intensive restraint. Aerial photos with medium spatial resolution and high resolution satellite imagery are ideal data sources for mapping coastal land use and monitoring their changes for a large area. This study introduces an efficient method to monitor coastline and coastal land use changes using time series aerial photos (1973 and 2002) and satellite imagery (2005) covering the same geographical area. Results show the effectiveness of the use of digital photogrammetry and remote sensing data on monitoring large area of coastal land use status. This study also showed that over 161 ha areas were filled up in the research area and along the coastal land 12.2 ha of coastal erosion is determined for the period of 1973 to 2005. Consequently, monitoring of coastal land use is thus necessary for coastal area planning in order to protecting the coastal areas from climate changes and other coastal processes.

The relationship between city size, coastal land use, and air temperature rise with distance from coast during summer day is analyzed using the meso-scale weather research and forecasting (WRF) model in five coastal cities in Japan with different sizes and coastal land use (Tokyo, Osaka, Nagoya, Hiroshima, and Sendai) and inland cities in Germany (Berlin, Essen, and Karlsruhe). Air temperature increased as distance from the coast increased, reached its maximum, and then decreased slightly. In Nagoya and Sendai, the amount of urban land use in coastal areas is less than the other three cities, where air temperature is a little lower. As a result, air temperature difference between coastal and inland urban area is small and the curve of air temperature rise is smaller than those in Tokyo and Osaka. In Sendai, air temperature in the inland urban area is the same as in the other cities, but air temperature in the coastal urban area is a little lower than the other cities, due to an approximate one degree lower sea surface temperature being influenced by the latitude. In three German cities, the urban boundary layer may not develop sufficiently because the fetch distance is not enough.

Coastal land use represents the combination of various land cover forms in a coastal area, which helps us understand the historical events, current conditions, and future progress of a coastal area. Currently, the emergence of high-resolution optical satellite images significantly extends the scope of coastal land cover recognition, and deep learning models provide a significant possibility of extracting high-level abstract features from an optical satellite image to characterize complicated coastal land covers. However, recognition systems for labeling are always defined differently for specific departments, organizations, and institutes. Moreover, considering the complexity of coastal land uses, it is impossible to create a benchmark dataset that fully covers all types of coastal land uses. To improve the transferability of high-level features generated by deep learning to reduce the burden of creating a massive amount of labeled data, this paper proposes an integrated framework to support semantically enriched coastal land use recognition, including foundation model-powered multi-label coastal land cover classification and conversion from coastal land cover mapping into coastal land use semantics with a vector space model (VSM). The experimental results prove that the proposed method outperformed the state-of-the-art deep learning approaches in complex coastal land use recognition.

The coastal zone has critical natural, commercial, recreational, ecological, industrial, and esthetic values for current and future generations. Thus, there are increasing pressures from population growth and coastal land development. Local coastal land use planning plays an important role in implementing the U.S. Coastal Zone Management Act (CZMA) by establishing goals and performance policies for addressing critical coastal issues. This study extends the CZMA Performance Measurement System from the national level to the local land use level by measuring coastal zone land use plan quality and political context in fifty-three Pacific coastal counties. Plan quality is measured using an evaluation protocol defined by five components and sixty-eight indicators. The results indicate a reasonable correspondence between national goals and local coastal zone land use planning goals, but a slight gap might exist between the national/state versus local levels in the overall effectiveness of coastal zone management (CZM) efforts. The results show many U.S. Pacific coastal counties lack strong coastal zone land use plans because the average plan quality score was only 22.7 out of 50 points. Although these plans set relatively clear goals and objectives, they are somewhat weaker in their factual basis, identify a limited range of the available planning tools and techniques, and establish few coordination and implementation mechanisms. The regression analysis results indicate that CZM plan quality was not significantly related to any of the jurisdictional characteristics.

The coastal area in Bangladesh constitutes about 32 % of the country. This one-third of the country’s land is recognized as a zone subject to intensive human use. Land use in the coastal Bangladesh is diverse, competitive, and conflicting. Over the last half-century, coastal land uses of Bangladesh have gone through major changes. Since the 1950s natural disasters like cyclone and tidal flooding, salinity intrusion, large-scale polderization, and intensive shrimp farming have changed the whole coastal area of Bangladesh. Especially, these changes are prominent in the southwestern coastal belt. Consequently these changes in coastal land uses have induced significant impacts on agriculture, crop production, food and water supply, and livelihood of southwestern coastal community. This paper is an attempt to conduct a trend analysis of coastal land use changes in Bangladesh. It highlights the responsible factors behind the coastal land use changes. Further, it examines the impact of coastal land use changes in agricultural production, food, and water supply.

Specific knowledge about the characteristics of coastal land use along the sea–land direction helps to better understand the spatial heterogeneity of coastal land use, which could offer scientific support for rational land management and the sustainable development of the coastal zone. However, the traditional methods including buffering or the regional method are hard to extract detailed spatial structure and location correlations of coastal land use along the sea–land direction. Therefore, we developed a model, called sequence–based clustering of coastal land use pattern (SCCLUP), to mine the coastal land use sequence patterns (CLUSPs) along the sea–land direction. As a case study in the major coastal zone of Bohai Bay and the Yellow River Delta from 1990 to 2010, we found that: (1) The land use showed a sequential distribution along the sea–land direction. And the land use closed to shoreline and inland boundary had relative stable sequential location along the sea–land direction. However, the middle land uses had dynamic sequential locations that led to multiple CLUSPs; (2) due to the increasing percent of construction land, the artificial level of CLUSPs was continuously increasing and new CLUSPs tended to distribute around port areas. Different CLUSPs with similar land use sequential relationships tended to have similar land use structure along the sea–land direction; (3) the land uses sequential location along the sea–land direction revealed the actual distance of land use to the shoreline and had a tight correlation with environmental factors (salinity, water, and landform). The land use with large increasing and wide adaptivity (like construction land) had a large impact on the changes of CLUSPs in the study area. Therefore, strong control should be provided for the excessive expansion of land use like construction land to limit the over changes in land use pattern along the sea–land direction. Additionally, the spatial heterogeneity of land use along the sea–land direction should be considered to a better understanding of anthropic impacts on the coastal zone.

Human occupation along coastal areas has been greatly increasing in recent decades and, in many places, human activities and infrastructures are threatened by erosion processes that can produce relevant economic and human losses. In order to reduce such impacts and design sound management strategies, which can range from the “no action” to the “protection” option, coastal managers need to know the intrinsic coastal sensitivity and the potential vulnerability and value of land uses. In this paper, in a first step, coastal sensitivity was determined by calculating the following: (i) the spatial distribution at the coast of the wave forcing obtained by using the ERA5 wave dataset and defined as the energy associated with the 50-year return period storm. Two storm conditions were considered, that is, one for the eastern and one for the western parts of the Andalusia Mediterranean coast, respectively, characterized by a height of 8.64–7.86 m and 4.85–4.68 m and (ii) the existence of a buffer zone, namely the dry beach width expressed as a multiple of the 20-year predicted shoreline position that was calculated using a dataset of aerial photographs covering a time span from 1956 to 2016. Coastal sensitivity values were divided into five classes with class 1 indicating the lowest sensitivity (i.e., the presence of a wide buffer zone associated with low wave energy flux values) and class 5 the highest sensitivity (i.e., a narrow buffer zone associated with very high wave energy flux values). In a second step, land uses were obtained from the official Land Use Map of the Andalusia Region, based on the results of the “Coordination of Information on the Environment” (CORINE) European Project. Such uses were divided into five classes from class 1 including natural areas (typologies “A” and “B” of the CORINE Project) to class 5 including very capital land uses (typologies “E1” and “E2”). In a third step, information concerning coastal sensitivity and land uses was crossed to determine the best mitigation strategies to cope with erosion processes. The “no action” option was observed at the westernmost area of Cádiz Province and at some areas from the west coast of Almería Province, where both coastal sensitivity and land use classes show low values; the “adaptation” option was recorded along more than one half of the coast studied, essentially at natural areas with high sensitivity and at urbanized areas with low sensitivity; and the “protection” option was observed especially at some areas from the center and eastern part of Málaga Province and at the easternmost areas of Almería Province, where both coastal sensitivity and land use classes presented high values.

Tsunamis are natural disasters that cause material losses and cause loss of life. Tsunamis are generated by underwater earthquakes. The coastal region of Kulon Progo is prone to the risk of a tsunami disaster due to its proximity to the megathrust zone and direct exposure to the Indian Ocean. This research aims to (1) determining the typological characteristics in the Kulon Progo Coastal Area, Special Region of Yogyakarta; (2) determining the spatial distribution of tsunami hazards in the Kulon Progo Coastal Area, Special Region of Yogyakarta; (3) developing recommendations for tsunami disaster mitigation models in the coastal area of Kulon Progo, special region of Yogyakarta. The method used in this research is the Hloss calculation developed by Berryman-2006. Furthermore, the identification of coastal typology was carried out according to Shepard with field observations, which were taken based on the Identification of Coastal Geomorphology according to Khakhim-2008. The research results show that tsunami inundation modeling with scenarios of 5, 10, 15, 20, 25, and 30 meters inundated the entire area with 14,462.22 hectares. It is known that the identification of the Kulon Progo coastal typology is marine deposition coast and coast built by organisms. Suitable recommendations for tsunami disaster mitigation on the Kulon Progo coast are the application of green belts around the coastline and the constructing of breakwaters. The results of this research can be used as a basis for determining tsunami disaster risk reduction policies in the coastal area of Kulon Progo, Special Region of Yogyakarta.

The coastal area is a meeting space between land and sea that is easy to change temporally and spatially. The changes were triggered due to an increase in population and community activities such as industry, housing, ports, cultivation, transportation, farms, agriculture, tourism, and so on centered in the coastal area and become the center of Indonesia's economy. Remote sensing technology is one of the right ways for monitoring activities in the near term. This research aims to map the change of coastal land use in Rungkut district, Surabaya, in 2013 and 2019 using high-resolution satellite imagery of SPOT imagery. The method of classification of coastal land use two types of supervised classification, namely Minimum Distance and Maximum Likelihood. Land use class obtained in this study as many as six classes, namely mangrove, settlement, pond, green open space, the body of water, and industry. The results showed that using two different algorithms gave a difference in classification results. The largest land-use change from classification with Minimum Distance method is in mangrove and body of water with +231,80 and –230,89 ha, while the classification result with the method of Maximum Likelihood the change of the largest land use is in mangrove class and ponds respectively +202,41 and –210,89 ha. Accuracy test using error matrix obtained by 85,50% with kappa coefficient 0,78 on the classification result of coastal land use using Minimum Distance algorithm and for Maximum Likelihood algorithm obtained accuracy of 89% with Kappa coefficient is 0,84. It is demonstrated that by using the algorithm, Maximum Likelihood accuracy on the land use map is very good.

Abstract: Research on the land use of the coastal zone in the sea–land direction will not only reveal its land use distribution, but may also indicate the interactions between inland land use and the ocean through associations between inland land use and seaward land use indirectly. However, in the existing research, few have paid attention to the land use in sea–land direction, let alone the sequential relationship between land-use types. The sequential relationship would be useful in land use planning and rehabilitation of the landscape in the sea–land direction, and the association between land-use types, particularly the inland land use and seaward land use, is not discussed. Therefore, This study presents a model named ARCLUSSM (Association Rules-based Coastal Land use Spatial Sequence Model) to mine the sequential pattern of land use with interesting associations in the sea–land direction of the coastal zone. As a case study, the typical coastal zone of Bohai Bay and the Yellow River delta in China was used. The results are as follows: firstly, 27 interesting association patterns of land use in the sea–land direction of the coastal zone were mined easily. Both sequential relationship and distance between land-use types for 27 patterns among six land-use types were mined definitely, and the sequence of the six land-use types tended to be tidal flat > shrimp pond > reservoir/artificial pond > settlement > river > dry land in sea–land direction. These patterns would offer specific support for land-use planning and rehabilitation of the coastal zone. There were 19 association patterns between seaward and landward land-use types. These patterns showed strong associations between seaward and landward land-use types. It indicated that the landward land use might have some impacts on the seaward land use, or in the other direction, which may help to reveal the interactions between inland land use and the ocean. Thus, the ARCLUSSM was an efficient tool to mine the sequential relationship and distance between land-use types with interesting association rules in the sea–land direction, which would offer practicable advice to appropriate coastal zone management and planning, and might reveal the interactions between inland land use and the ocean.