• Journal of Korea Water Resources Association
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• v.56 no.6
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• pp.381-392
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• 2023

Precipitation, runoff, and evapotranspiration are changing worldwide due to climate change and human activities. Because watershed runoff is an important component of the hydrological cycle, it is important to investigate the changes in watershed runoff for water resources management. This study collected observed data of runoff, precipitation, temperature, and evapotranspiration in the Geum River basin as well as their synthetic data according to Representative Concentration Pathways (RCP) scenarios, investigated the trend of hydro-meteorological variables using the Mann-Kendall test, and quantitatively evaluated the effects of climate change and human activities on the watershed runoff using the climate elasticity approach and the Budyko framework. The results indicated that the relative contribution of climate change and human activity to changes in runoff varies from region to region. For example, the watershed with the greatest contribution from climate change and human activity were the Yongdam Dam (#3001) basin and the Daecheong Dam (#3008) basin, respectively. Future climate change showed an increase in precipitation and temperature in both RCP 4.5 and 8.5 scenarios, resulting in changes in runoff in the Geum River basin from 44.8% to 65.5%, respectively. We concluded that the effect on watershed runoff can be separated into climate change and human activities, which will be important information in establishing sustainable water resource management plans.

• Journal of the Korea Organic Resources Recycling Association
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• v.22 no.2
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• pp.17-26
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• 2014

In this study, the adsorption efficiency of mixed heavy metals from an aqueous solution was examined using bentonite. The physical and chemical properties of bentonite was analyzed via scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FT-IR), Further, heavy metal adsorption was characterized using Freundlich and Langmuir equations. Equilibrium adsorption data were fitted well to the Langmuir model for bentonite. The adsorption uptake of heavy metals was high and followed the order $Pb^{2+}$ > $Cu^{2+}$ > $Cd^{2+}$ > $$Zn^{2+}{\sim_=}Ni^{2+}$$. The results also showed that adsorption uptake slightly increased as increasing pH from 6 to 10. The bentonite surface was observed viay SEM and FT-IR; Si-O and Si-O-Al were found to be the main functional groups by FT-IR analysis. From these results, the adsorption mechanisms of heavy metal were not only surface adsorption and ion exchange, but also surface precipitation. Thus, bentonite could be a useful adsorbent for treating heavy metal in aqueous solution.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.138-138
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• 2016

강수량은 농업과 수자원관리, 그 외 사회 기반 사업들에게 광범위하게 영향을 미치는 매우 중요한 기상요소이므로 강수량 관측자료는 사회전반에 활용되고 있다. 하지만 강수량은 공간적인 불연속성이 크기 때문에 조밀한 관측자료를 필요로 하고 있으며, 때문에 관측이 이루어지지 않은 미관측 지점의 강수량 자료를 복원하려는 연구도 계속 진행되고 있다. 관측자료를 이용하여 미관측 지점의 강수량을 복원하는 방법으로 지상 강수량 관측자료와 연직 상층기상자료 및 고해상도 지형자료를 이용하여 복원하는 정량적 강수량 진단 모형이 이미 개발되어 대한민국을 대상으로 강수량 복원이 이루어진 바 있다. 대한민국은 전국이 대략 10 km 정도로 비교적 조밀하고 일정한 지상 관측망을 가지고 있어 관측자료를 이용한 강수량 복원에 유리하다. 하지만 전 세계 많은 지역에서 강수량 관측자료는 매우 부족한 실정이며 가깝게는 북한과 중국에서부터 아프리카와 남아메리카 등 일부 강수량 관측이 전혀 이루어지지 않는 지역도 존재한다. 이러한 지역에 대한 강수량 복원 정확도에 대해서는 지금까지 연구된 바 없으며 관측자료 수에 따른 복원 민감도에 대한 연구도 이루어지지 않았다. 따라서 대한민국에 비해 관측자료가 부족한 지역에 대해 복원 정확도를 파악할 필요성이 있으므로 본 연구에서는 관측소 밀집정도에 따른 미관측 지역의 강수량 복원 민감도 분석을 하였다. 대한민국은 572개 지점의 지상기상관측망(자동기상관측장비 AWS 477개, 종관기상관측장비 ASOS 95개 지점)을 운영하고 있으며, 10개 지점의 기상레이더가 전국을 감시하고 있어 미관측 지점에 대해 검증자료로 활용할 수 있으므로 강수량 복원 민감도 분석 대상 지역으로 선정하였다. 강수량 복원 정확도 검증을 위해 강수량 복원자료의 격자점과 가장 근접한 관측지점을 검증지점으로 선정하고, 강수량 복원에는 검증지점을 제외한 관측자료만을 이용하였다. 관측자료 밀집정도에 따른 민감도 분석을 위해 관측자료를 100% 사용하였을 때와 일부만 사용하였을 때로 나누어 분석하였다. 관측소 밀집도에 따른 강수량 복원 정확도 민감성 분석을 통해 관측소가 부족한 북한, 중국, 아프리카 등지의 미관측 지점 복원 정확도를 추정할 수 있으며 관측소가 부족하거나 전무한 지역에서 강수량 복원 정확도를 늘리기 위해 필요한 관측소 수를 파악하는 데에 적용할 수 있을 것이다.

• Geophysics and Geophysical Exploration
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• v.9 no.1
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• pp.60-66
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• 2006

Three differing sandstones, two synthetic and one field sample, have been tested ultrasonically under a range of confining pressures and pore pressures representative of in-situ reservoir pressures. These sandstones include: a synthetic sandstone with calcite intergranular cement produced using the CSIRO Calcite In-situ Precipitation Process (CIPS); a synthetic sandstone with silica intergranular cement; and a core sample from the Otway Basin Waarre Formation, Boggy Creek 1 well, from the target lithology for a trial $CO_2$ pilot project. Initial testing was carried on the cores at "room-dried" conditions, with confining pressures up to 65 MPa in steps of 5 MPa. All cores were then flooded with $CO_2$, initially in the gas phase at 6 MPa, $22^{\circ}C$, then with liquid-phase $CO_2$ at a temperature of $22^{\circ}C$ and pressures from 7 MPa to 17 MPa in steps of 5 MPa. Confining pressures varied from 10 MPa to 65 MPa. Ultrasonic waveforms for both P- and S-waves were recorded at each effective pressure increment. Velocity versus effective pressure responses were calculated from the experimental data for both P- and S-waves. Attenuations $(1/Q_p)$ were calculated from the waveform data using spectral ratio methods. Theoretical calculations of velocity as a function of effective pressure for each sandstone were made using the $CO_2$ pressure-density and $CO_2$ bulk modulus-pressure phase diagrams and Gassmann effective medium theory. Flooding the cores with gaseous phase $CO_2$ produced negligible change in velocity-effective stress relationships compared to the dry state (air saturated). Flooding with liquid-phase $CO_2$ at various pore pressures lowered velocities by approximately 8% on average compared to the air-saturated state. Attenuations increased with liquid-phase $CO_2$ flooding compared to the air-saturated case. Experimental data agreed with the Gassmann calculations at high effective pressures. The "critical" effective pressure, at which agreement with theory occurred, varied with sandstone type. Discrepancies are thought to be due to differing micro-crack populations in the microstructure of each sandstone type. The agreement with theory at high effective pressures is significant and gives some confidence in predicting seismic behaviour under field conditions when $CO_2$ is injected.

• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.181-193
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• 2024

The increasing atmospheric imbalance caused by climate change leads to an elevation in precipitation, resulting in a heightened frequency of flooding. Consequently, there is a growing need for technology to detect and monitor these occurrences, especially as the frequency of flooding events rises. To minimize flood damage, continuous monitoring is essential, and flood areas can be detected by the Synthetic Aperture Radar (SAR) imagery, which is not affected by climate conditions. The observed data undergoes a preprocessing step, utilizing a median filter to reduce noise. Classification techniques were employed to classify water bodies and non-water bodies, with the aim of evaluating the effectiveness of each method in flood detection. In this study, the Otsu method and Support Vector Machine (SVM) technique were utilized for the classification of water bodies and non-water bodies. The overall performance of the models was assessed using a Confusion Matrix. The suitability of flood detection was evaluated by comparing the Otsu method, an optimal threshold-based classifier, with SVM, a machine learning technique that minimizes misclassifications through training. The Otsu method demonstrated suitability in delineating boundaries between water and non-water bodies but exhibited a higher rate of misclassifications due to the influence of mixed substances. Conversely, the use of SVM resulted in a lower false positive rate and proved less sensitive to mixed substances. Consequently, SVM exhibited higher accuracy under conditions excluding flooding. While the Otsu method showed slightly higher accuracy in flood conditions compared to SVM, the difference in accuracy was less than 5% (Otsu: 0.93, SVM: 0.90). However, in pre-flooding and post-flooding conditions, the accuracy difference was more than 15%, indicating that SVM is more suitable for water body and flood detection (Otsu: 0.77, SVM: 0.92). Based on the findings of this study, it is anticipated that more accurate detection of water bodies and floods could contribute to minimizing flood-related damages and losses.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.3
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• pp.363-373
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• 2010

"Curve number" (CN) indicates the runoff potential of an area. The US Soil Conservation Service (SCS)'s CN method is a simple, widely used, and efficient method for estimating the runoff from a rainfall event in a particular area, especially in ungauged basins. The use of soil maps requested from end-users was dominant up to about 80% of total use for estimating CN based rainfall-runoff. This study introduce the use of soil maps with respect to hydrologic and watershed management focused on hydrologic soil group and a case study resulted in assessing effective rainfall and runoff hydrograph based on SCS-CN method in a small watershed. The ratio of distribution areas for hydrologic soil group based on detailed soil map (1:25,000) of Korea were 42.2% (A), 29.4% (B), 18.5% (C), and 9.9% (D) for HSG 1995, and 35.1% (A), 15.7% (B), 5.5% (C), and 43.7% (D) for HSG 2006, respectively. The ratio of D group in HSG 2006 accounted for 43.7% of the total and 34.1% reclassified from A, B, and C groups of HSG 1995. Similarity between HSG 1995 and 2006 was about 55%. Our study area was located in Sosu-myeon, Goesan-gun including an approx. 44 $km^2$-catchment, Chungchungbuk-do. We used a digital elevation model (DEM) to delineate the catchments. The soils were classified into 4 hydrologic soil groups on the basis of measured infiltration rate and a model of the representative soils of the study area reported by Jung et al. 2006. Digital soil maps (1:5,000) were used for classifying hydrologic soil groups on the basis of soil series unit. Using high resolution satellite images, we delineated the boundary of each field or other parcel on computer screen, then surveyed the land use and cover in each. We calculated CN for each and used those data and a land use and cover map and a hydrologic soil map to estimate runoff. CN values, which are ranged from 0 (no runoff) to 100 (all precipitation runs off), of the catchment were 73 by HSG 1995 and 79 by HSG 2006, respectively. Each runoff response, peak runoff and time-to-peak, was examined using the SCS triangular synthetic unit hydrograph, and the results of HSG 2006 showed better agreement with the field observed data than those with use of HSG 1995.