• 한국주거학회논문집
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• 제11권3호
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• pp.125-136
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• 2000

The purpose of this study was to analyze water consumption in each apartment buildings influenced by several factors that are the income level of inhabitants, life style, the area apartments and climate. The automation of sanitary machines or facilities in recently built apartments has caused largely increases in amount of water consumption. Therefore, the design for water supply is very important for the maintenance of the optimum level or pressure of water supply. This study is based on the offer of basic data for improving the quality of water supply and employing the sanitary machines or sanitary facilities by analysis of amount increased of water consumption rapidly. Amount of water consumption data, the change in quality of entropy to the supply water pipe was analyzed and presented to indicate the necessary to basic materials for the design of an optimal water pipe.

• Journal of Forest and Environmental Science
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• 제33권1호
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• pp.1-7
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• 2017

In the present exploration we identified perception of forest dependent communities in relation to impact of climate change on forest ecosystem in and around Chilapatta reserve forest in northern part of West Bengal, India. Purposive sampling method was used for selection of area and random sampling method was used for selection of respondent. The data collection in this study was through questionnaire based personal in-depth interviews. Almost all the respondents (94%) were farmers and rest had occupation other than farming. Almost all the respondents perceived negative impact of climate change on forest though the level of perception varies from very low to medium (0.23-0.52) based on average perception score after assigning score to individual statements. The level of perception on impact of climate change on forest ecology and forest flora of the community is low and very low as the average perception score is 0.39 and 0.23, respectively while, it is medium (0.52) for forest fauna. Alternately their perception on decreased stream/river flow and quick drying of seasonal streams or water bodies is based on their livelihood experience as they depend on these for their domestic and irrigation water use and fish catch for family diet.

• 한국농공학회논문집
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• 제62권6호
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• pp.1-9
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• 2020

Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

• 물과 미래
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• 제52권8호
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• pp.56-66
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• 2019

Nepal is bestowed with abundant water. With more than 1500 mm average annual rainfall in the country, a vast quantity of underutilized groundwater in the Terai belt, and the water stored in snowcaps in the Himalayas, aquifers in the mountains and glacial lakes, Nepal is potentially in an advantageous position in terms of per capita availability. However, low emphasis in management aspect of water and high emphasis in infrastructural developments related to water resources management has resulted in conversion of water in Nepal from a resource to a burden. The global climate change, reduction in number of rainy days, increase in intensity of rainfall during wet monsoon season, encroachment of river banks for settlement, inadequate release of environmental flows from hydropower plants, and attempt to tame the mighty and high velocity rivers of Nepal have resulted in increasing number of water induced disasters (flood and landslide), rise in conflict between local residents and hydropower developers, higher number of devastating landslides, and in some extreme cases mass migration of residents resulting in climate refugees. There is a ray of hope; the awareness level of the people regarding sustainable use of water resources is increasing, the benefit sharing mechanism is gradually being implemented, the role of interdisciplinary and integrated water resources management is appreciated at a higher level and the level of preparedness against flood and landslides is at a higher degree compared to a couple of decades ago. With the use of renewable energy sources, the possibilities for sustainable and productive use of water are on the rise in Nepal.

• 한국지하수토양환경학회지:지하수토양환경
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• 제6권1호
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• pp.33-43
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• 2001

본 연구에서는 지하수위 변동 곡선을 이용하여 지하수 함양률을 추정하는 기법을 제안하였으며 무강우 기간 지하수위 감수곡선을 이용한 기존의 방법과 비교하였다. 본 연구는 전국 지하수 함양률을 추정하기 위한 연구의 일환으로서 국가 지하수 관측망의 신뢰성 높은 지하수위 자료를 이용하였고 자료가 충실한 세 지역(충주, 진주, 광주)에 대하여 본 방법론을 적용하였다. 이를 위하여 각 지역의 지하수위에 대한 계절적 변동 분석, 지하 수위와 누적 강수량에 대한 시차분석, 지하수 함양률 비교 연구 분석 등을 실시하였다.

• 한국전자통신학회논문지
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• 제14권6호
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• pp.1235-1240
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• 2019

지진이 발생하기 전·후에 지하수 수위는 급격하게 변화되는 것으로 알려져 있으며 지진 예측을 위해 지하수 수위 변화를 이용한다. 본 연구는 지진을 예측에 사용하기 위해 ANFIS 알고리즘을 이용한 밀양시의 지하수수위를 예측한다. 이를 위해 본 논문에서는 경남 밀양시의 기상청의 강수량, 기온 데이터와 한국농어촌공사 농촌지하수관측망의 지하수수위 데이터가 사용되었다. 예측 측정을 위해 RMSE, MAPE 오차 계산 방법을 사용하였다. 예측 결과 수위가 자연적인 요인에 의해 주기적인 패턴은 예측이 되었으나 인위적인 요인 등 다른 변수에 의해 변동되는 지하수수위 변화값은 감지하지 못하였다. 이를 해결하기 위해서는 지하수수위를 인위적인 변수 등을 수치화하여 데이터화 하는 것과 지하수수위를 측정한 관측공의 정확한 위치에 따른 강수량과 기압 등이 필요하다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.18-18
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• 2011

Climate change is impacting and will increasingly impact both the quantity and quality of the world's water resources in a variety of ways. In some areas warming climate results in increased rainfall, surface runoff, and groundwater recharge while in others there may be declines in all of these. Water quality is described by a number of variables. Some are directly impacted by climate change. Temperature is an obvious example. Notably, increased atmospheric concentrations of $CO_2$ triggering climate change increase the $CO_2$ dissolving into water. This has manifold consequences including decreased pH and increased alkalinity, with resultant increases in dissolved concentrations of the minerals in geologic materials contacted by such water. Climate change is also expected to increase the number and intensity of extreme climate events, with related hydrologic changes. A simple framework has been developed in New Zealand for assessing and predicting climate change impacts on water resources. Assessment is largely based on trend analysis of historic data using the non-parametric Mann-Kendall method. Trend analysis requires long-term, regular monitoring data for both climate and hydrologic variables. Data quality is of primary importance and data gaps must be avoided. Quantitative prediction of climate change impacts on the quantity of water resources can be accomplished by computer modelling. This requires the serial coupling of various models. For example, regional downscaling of results from a world-wide general circulation model (GCM) can be used to forecast temperatures and precipitation for various emissions scenarios in specific catchments. Mechanistic or artificial intelligence modelling can then be used with these inputs to simulate climate change impacts over time, such as changes in streamflow, groundwater-surface water interactions, and changes in groundwater levels. The Waimea Plains catchment in New Zealand was selected for a test application of these assessment and prediction methods. This catchment is predicted to undergo relatively minor impacts due to climate change. All available climate and hydrologic databases were obtained and analyzed. These included climate (temperature, precipitation, solar radiation and sunshine hours, evapotranspiration, humidity, and cloud cover) and hydrologic (streamflow and quality and groundwater levels and quality) records. Results varied but there were indications of atmospheric temperature increasing, rainfall decreasing, streamflow decreasing, and groundwater level decreasing trends. Artificial intelligence modelling was applied to predict water usage, rainfall recharge of groundwater, and upstream flow for two regionally downscaled climate change scenarios (A1B and A2). The AI methods used were multi-layer perceptron (MLP) with extended Kalman filtering (EKF), genetic programming (GP), and a dynamic neuro-fuzzy local modelling system (DNFLMS), respectively. These were then used as inputs to a mechanistic groundwater flow-surface water interaction model (MODFLOW). A DNFLMS was also used to simulate downstream flow and groundwater levels for comparison with MODFLOW outputs. MODFLOW and DNFLMS outputs were consistent. They indicated declines in streamflow on the order of 21 to 23% for MODFLOW and DNFLMS (A1B scenario), respectively, and 27% in both cases for the A2 scenario under severe drought conditions by 2058-2059, with little if any change in groundwater levels.

• 한국지하수토양환경학회지:지하수토양환경
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• 제16권2호
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• pp.41-51
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• 2011

This study was conducted to investigate the relationship between groundwater level change and a large earthquake using the data of groundwater and seawater intrusion monitoring wells in Jeju Island. Groundwater level data from 13 observation wells were analyzed with a large earthquake. The Earthquake occurred at Sumatra, Indonesia (Mw = 7.7) on 13 June 2010, and groundwater level anomalies which seems to be related to the Earthquake were found in 6 monitoring wells. They lasted for approximately 16~27 minutes and the range of groundwater level fluctuations were about 1.4~2.4 cm. Coefficient of determination values for relationship between groundwater level change and transmissivity, and response time were calculated to be $R^2$ = 0.76 and $R^2$ = 0.96, respectively. The study also indicates that the high transmissivity of aquifer showed the high goundwater level changes and longer response time.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.11-16
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• 2006

It appraises that use an indoor noise standard, a NC value which is a noise appraisal, a dB(A) value, a N value in foreign country because it doesn't yet ready an appraisal standard in domestic. Also, It appraises that the supply and drainage noise which could change water supply pressure, $4kg/cm^2,\;3kg/cm^2,\;2kg/cm^2,\;1.5kg/cm^2,\;1kg/cm^2$, bring about a noise and inquires how does noise level indicates according to each instruments. In case of a water supply pressure standard, $3kg/cm^2$, a C-605is $3{\sim}5dB(A)$ lower than another instruments in directly overhead stories. It appears that all of them is similar to level in directly under level except c-407(2)Analyzed the NC value, c-605is the lowest level, NC-50, of a water supply pressure, $4.0kg/cm^2$, c-407 is the highest level, NC-55.(3) In case of N value, which is one of water supply methods in Japan, it is the lowest level, N-55, of a water supply pressure, $4.0kg/cm^2$ same as NC value and C-407is the highest level, N-60.(4) In case of water supply that is likely to noise level, It appears 6dB(A) level gap each instruments, and C-605 is the lowest level, 63.9dB(A).

• 한국양식학회지
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• 제12권3호
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• pp.221-228
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• 1999

The effects of sparp changes of water temperature (WT) on the stree response and physiological change of the cultured olive flounder (Paralichthys olivaceus) were examined by manipulating WT (3 patterns) in a running seawater culture system. In the first group (Exp. I), the WT was decreased from 18$^{\circ}C$ to 11$^{\circ}C$ within 6 hours and increased back to the original WT quickly. WT was decreased from 2$0^{\circ}C$ to 11$^{\circ}C$ within 5 hours and main-tained at 11$^{\circ}C$ for 10 hours. and then increased to 2$0^{\circ}C$ in the second group (Exp. II). In the third group(Exp. III) WT was decreased to 11$^{\circ}C$ within 5 hours (type A) or 10 hrs. (type B). In Exp. I and III, the level of serum cortisol was increased from 2.5$\pm$0.3 ng/ml and 2.6$\pm$0.9 ng/ml to 13.6$\pm$3.0 ng/ml and 12.4$\pm$3.2ng/ml, respectively, with WT decrease. However, no consistent tendency in the change of serum glucose level was shown according to WT decrease. In Exp. III, the glucose level of fish in type A was decreased until 5 hours and increased at 7 hours, then decreased until 12 hours where as the glucose level in type B was decreased until 5 hours and stayed at the level of 15.7 mg/dl. The serum osmolality was reduced with WT decrease and the response of serum electrolytes in this experiment conflicted, and a tendency in total protein, AST and ALT was not found following WT decrease. In conclusion, olive flounder responded to the stress caused by WT decrease and acclimated to this condition when the lower temperature was maintained. But there was no stress response in the blood of olive flounder when WT was increased. On the other hand, the degree of stress response in olive flounder was various according to the range and gradient of WT change.