• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.4
• /
• pp.218-237
• /
• 2018

The purpose of this study is to propose a mid - range low - orbit water disaster monitoring satellite development plan to revolutionize water disaster management infrastructure through securing an independent and leading observation infrastructure and to secure safety against disaster prepared for climate change. Water and water disaster satellites should be able to detect changes in the surface of the ground and observe hydrological factors during daytime, nighttime, and bad weather. In addition, independent technology development should be possible. To do this, we selected C-band image radar payload considering domestic technology and water resources management, and suggested detailed development plan. In this way, it is reflected in the national next-generation mid-satellite 2-phase project plan to secure the basis for building a disaster monitoring system related to wide-area water.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.145-145
• /
• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

• Water for future
• /
• v.52 no.8
• /
• pp.34-36
• /
• 2019

• Korean Journal of Remote Sensing
• /
• v.38 no.6_3
• /
• pp.1761-1775
• /
• 2022

Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.7 no.5
• /
• pp.159-166
• /
• 2007

Large scale flood disasters bring human losses and properties, which lead to the decrease of our productive value and change social environment. Human loss and economic damage are considered to be the same system but they are viewed as separated systems. The total amount of human loss can be represented as the total amount of economic damage estimated in the frame of social system while it will be possible to make mutual changing by clearing the relations between social and economic systems. In this regard, an attempt to estimate economic loss considering per capita Gross Domestic Production (GDP) caused by flood-related mortality was carried out to the typhoon Rusa of 2002 in Kangwon-do. The proposed method tried to capture quantitative factors which are affecting the loss of per capita GDP. The approach has great importance not only to set up governmental policy but also methodological progress in the research due to impact of disaster-related mortality on GDP loss.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.106-106
• /
• 2018

Ecosystem service valuation is a crucial step for the sustainable management of watershed. In the context of various ecosystem services provided by watershed, this study, particularly deals with water yield computation in Bagmati Basin of Nepal. The water availability per population in Bagmati Basin is lowest compared to other basins in Nepal. Also, the rate of urbanization is rapidly growing over a decade. In this regard, the objectives of this study are 1) to compute the total water yield of the basin along with computation on a sub-watershed scale, and 2) Study the impacts of land use change on water yield based on CLUE-S model. For the study, Integrated Valuation of Environmental Services and Tradeoffs (InVEST), a popular model for ecosystem service assessment based on Budyko hydrological method is used to compute water yield. As well, CLUE-S model is used to study land use change, which is further related to study variation on water yield. The sub-watershed wise outcome of the study is expected to provide the guidelines for the effective and economic management of a watershed on a regional scale.

• Journal of Korea Water Resources Association
• /
• v.53 no.spc1
• /
• pp.773-784
• /
• 2020

In this study, legislative and policy issues related to advancing the maintenance system of water resource facilities were presented by investigating and analyzing the degree of aging and management status of water resource facilities. Data from the comprehensive Facility Management System (FMS) operated by the Korea Infrastructure Safety Corporation were collected and used to analyze the aging of water resource facilities. Using safety grade data categorized by facility, type, local area, and grade, the ratio of dangerous facilities and the aging rate were calculated to analyze the status of water resource facilities and guidelines and manuals related to water resource facilities were investigated. Through this, four required actions to address legislative and policy issues were presented: 1) Readjusting the scope of water resource facilities and supplementing guidelines and manuals, 2) Establishing a maintenance system considering changes in disaster conditions, 3) Improving the FMS and activating standard linkage services, and 4) Establishing a facility asset management system.

• Structural Monitoring and Maintenance
• /
• v.5 no.2
• /
• pp.313-323
• /
• 2018

The presence of water inside concrete structures is an essential condition for the deterioration of the structures. The free water in the concrete pores and micro-cracks is the culprit for the durability related problems, such as alkali-aggregate reaction, carbonation, freeze-thaw damage, and corrosion of steel reinforcement. To ensure the integrity and safe operation of the concrete structures, it is very important to monitor water seepage inside the concrete. This paper presents the experimental investigation of water seepage monitoring in a concrete slab using piezoelectric-based smart aggregates. In the experimental setup, an $800mm{\times}800mm{\times}100mm$ concrete slab was fabricated with 15 SAs distributed inside the slab. The water seepage process was monitored through interrogating the SA pairs. In each SA pair, one SA was used as actuator to emit harmonic sine wave, and the other was used as sensor to receive the transmitted stress wave. The amplitudes of the received signals were able to indicate the water seepage process inside the concrete slab.

• Journal of the Korean association of regional geographers
• /
• v.16 no.5
• /
• pp.457-473
• /
• 2010

Patterns and regional distribution of disaster-related place names have been analyzed to confirm the recognition and probability of disaster and to explore the possibility of disaster prevention measures. 106 terms and 37,901 place names related to disaster and prevention measures have been collected from the Korean gazetteers "Hanguk Jimyeong Chongnam". Based on this, some conclusions have been drawn: firstly, place names related to the geomorphic processes and prevention measures are more common than any other disasters; secondly, place names related to heavy rain, flooding and drowning are most common. Analysis of the regional distribution pattern shows that disaster-related place names are most common in Jeolla and Gyeongsang Provinces and general place names reflecting environmental concern such as water, sand, plain, rain and dam are distributed evenly throughout the whole country; howe, r, place names such as dumbeong, gureong, yeoul, tan(灘), bangjuk, je(堤), and ji(池) are restricted to the specific region, which shows that place names reflects the locational and toprn sucic ainuations. Case st, anindicates that prevention measures should be focused on tributaries and srill villeys conaid ring that disasters originated from the combination of weather and landform conditions are most common throughout the whole country.

• Proceedings of the KSR Conference
• /
• 2004.10a
• /
• pp.308-327
• /
• 2004

As use of tunnels and subways increase there also are accidents proportionate to it. Daegu Subway Station fire, Hongjimoon tunnel fire led people to be conscious of disaster protection and as a result, there is a trend to adopt standards for fire protection. Accordingly, this thesis is focused on investigating various fire and water protection related issues for subaqueous tunnel under Ran river. The thesis developed evacuation and disaster prevention plan as fire level increases and have identified the suitability of disaster prevention through evacuation and fire simulation, countermeasure of a water leakage during construction and operation considering the subaqueous tunnel. And we selected EPB shield TBM equipment considering the ground condition and effect of boring hole, and accomplished reasonable water protection design through setting goals using event-tree method, as well as examining model test of boring hole and flooding in heavy rain. Also included structured total system consist of water leakage sensing system, water protection gate, pumping system and fire protection system to respond systematically in emergency.