Analysis of Baseflow Contribution based on Time-scales Using Various Baseflow Separation Methods
이승찬 Lee Seung Chan , 김희연 Kim Hui Yeon , 김효정 Kim Hyo Jeong , 한정호 Han Jeong Ho , 김성준 Kim Seong Joon , 김종건 Kim Jonggun , 임경재 Lim Kyoung Jae
59(2) 1-11, 2017
Analysis of Baseflow Contribution based on Time-scales Using Various Baseflow Separation Methods
이승찬 Lee Seung Chan , 김희연 Kim Hui Yeon , 김효정 Kim Hyo Jeong , 한정호 Han Jeong Ho , 김성준 Kim Seong Joon , 김종건 Kim Jonggun , 임경재 Lim Kyoung Jae
DOI: JKWST Vol.59(No.2) 1-11, 2017
The analysis of baseflow contribution is very significant in Korea because most rivers have high variability of streamflow due to the monsoon climate. Recently, the importance of such analysis is being more evident especially in terms of river management because of the changing pattern of rainfall and runoff resulted from climate change. Various baseflow separation methods have been developed to separate baseflow from streamflow. However, it is very difficult to identify which method is the most accurate way due to the lack of measured baseflow data. Moreover, it is inappropriate to analyze the annual baseflow contribution for Korean rivers because rainfall patterns varies significantly with the seasons. Thus, this study compared the baseflow contributions at various time-scales (annual, seasonal and monthly) for the 4 major river basins through BFI (baseflow index) and suggested baseflow contribution of each basin by the BFI ranges searched from different baseflow separation methods (e.g., BFLOW, HYSEP, PART, WHAT). Based on the comparison of baseflow contributions at the three time scales, this study showed that the baseflow contributions from the monthly and seasonal analysis are more reasonable than that from the annual analysis. Furthermore, this study proposes that defining BFI with its range is more proper than a specific value for a watershed, considering the difference of BFIs between various baseflow separation methods.
A Study on Factors of Farmers’ Decision-Making for the Selection of Crop Cultivation - A Case of Inje-Gun in Gangwon Province -
최재용 Choi Jae-yong , 김창환 Kim Chang Hwan , 배선학 Bae Sun Hak , 이동준 Lee Dongjun , 임경재 Lim Kyoung Jae
59(2) 13-18, 2017
A Study on Factors of Farmers’ Decision-Making for the Selection of Crop Cultivation - A Case of Inje-Gun in Gangwon Province -
최재용 Choi Jae-yong , 김창환 Kim Chang Hwan , 배선학 Bae Sun Hak , 이동준 Lee Dongjun , 임경재 Lim Kyoung Jae
DOI: JKWST Vol.59(No.2) 13-18, 2017
Farmers seek for high profitability by increasing the best use of land, and the selection of crops is the first and basic way to achieve their goals. When farmers select crops, the climate, price and productivity of crops are usually considered at the first stage. However, a crucial factor is to understand general characteristics of soils where the crops were grown, but many farmers are lacking in detailed knowledge about soils. The purpose of this study is to search and analyses factors based upon related soil and others in decision-making for the selection of crops. In result, the cultivated rate of the top 5 corps in the suitable areas for cultivation (SAC) is only 53 % which shows most farmers are plants their crops in unsuitable sites. To examine factors influencing on the selection of crops except for soils, surveys about their farm characteristic and Korea Soil Information System (KSIS) were conducted. The result of survey shows 20 % of farmers know KSIS. To increase that rate, there were many changes on soil’s characteristic, and at the same time, climate conditions should be updated. It can be expected to increase the rate of farmers’ utilization of KSIS.
A Study on Parameter Estimation for SWAT Calibration Considering Streamflow of Long-term Drought Periods
김다래 Kim Da Rae , 김성준 Kim Seong Joon
59(2) 19-27, 2017
A Study on Parameter Estimation for SWAT Calibration Considering Streamflow of Long-term Drought Periods
김다래 Kim Da Rae , 김성준 Kim Seong Joon
DOI: JKWST Vol.59(No.2) 19-27, 2017
Recently, the hydrological model Soil Water Assessment Tool (SWAT) has been applied in many watersheds in South Korea. This study estimated parameters in SWAT for calibrating streamflow in long-term drought periods. Therefore, we focused on the continuous severe drought periods 2014~2015, and understand the model calibrated parameters. The SWAT was applied to a 366.5 ㎢ Gongdo watershed by using 14 years (2002~2015) daily observed streamflow (Q) including two years extreme drought period of 2014~2015. The 9 parameters of CN2, CANMX, ESCO, SOL_K, SLSOIL, LAT_TIME, GW_DELAY, GWQMN, ALPHA_BF were selected for model calibration. The SWAT result by focusing on 5 normal years (2002~2006) calibration showed the 14 years average Nash-Sutcliffe model efficiency (NSE) for Q and 1/Q with 0.78 and 0.58 respectively. On the other hand, the 14 years average NSEs of Q and 1/Q by focusing on 2 drought years (2014~2015) calibration were 0.86 and 0.76 respectively. Thus, we could infer that the SWAT calibration trial by focusing on drought periods data can be a good approach to calibrate both high flow and low flow by controlling the 9 drought affected parameters.
Spatial and Temporal Analysis of Drought Using the Storage Data of Agricultural Reservoirs in Chungnam Province in 2015
김소래 Kim Sorae , 장민원 Jang Min-won , 김수진 Kim Soojin , 배승종 Bae Seungjong
59(2) 29-36, 2017
Spatial and Temporal Analysis of Drought Using the Storage Data of Agricultural Reservoirs in Chungnam Province in 2015
김소래 Kim Sorae , 장민원 Jang Min-won , 김수진 Kim Soojin , 배승종 Bae Seungjong
DOI: JKWST Vol.59(No.2) 29-36, 2017
The objective of this study was to analyze the temporal and spatial characteristics of agricultural drought by tracking the daily reservoir storage in Chungnam province. All daily records of the percent of reservoir storage from 2000 to 2015 were collected for 130 irrigation reservoirs from the RIMS (Rural Infrastructure Management System). The temporal change of province-wide average reservoir storage and the statistics showed that the annual average and minimum percent of reservoir storage in 2015 were extremely low like as those in the historical drought years of 2001 and 2012. The minimum reservoir storage on record was a 41 % at the end of September and remained far less than its historical average even until the end of the year. Furthermore, the annual average reservoir storage (68.3 %) recorded the lowest on record since 2000. In addition, about half of 130 major irrigation reservoirs in Chungnam fell into the risk of water shortage below 30 % full, and, in terms of annual minimum reservoir storage, the 79 reservoirs yielded lower storage in 2015 comparing with the measured in another drought year, 2001. On the other hand, irrigation reservoirs of comparatively worse storage condition revealed to be mostly located on the inside, such as Cheongyang-gun and Hongsung-gun. Conclusively, the low reservoir storage, still far below average even on December 2015, induced a serious concern about that more extreme drought would happen in the next spring.
Analysis of Irrigation Water Amount Variability based on Crops and Soil Physical Properties Using the IWMM Model
신용철 Shin Yongchul
59(2) 37-47, 2017
Analysis of Irrigation Water Amount Variability based on Crops and Soil Physical Properties Using the IWMM Model
신용철 Shin Yongchul
DOI: JKWST Vol.59(No.2) 37-47, 2017
In this study, we analyzed the variability of irrigation water amounts based on the combination of various crops and soil textures using the Irrigation Water Management Model (IWMM). IWMM evaluates the degree of agricultural drought using the Soil Moisture Deficit Index (SMDI). When crops are damaged by the water scarcity under the drought condition indicating that the SMDI values are in negative (SMDI<0), IWMM irrigates appropriate water amounts that can shift the negative SMDI values to “0” to crop fields. To test the IWMM model, we selected the Bandong-ri (BDR) and Jucheon (JC) sites in Gangwon-do and Jeollabuk-do provinces. We derived the soil hydraulic properties using the near-surface data assimilation scheme form the Time Domain Reflectrometry (TDR)-based soil moisture measurements. The daily root zone soil moisture dynamics (R: 0.792/0.588 and RMSE: 0.013/0.018 for BDR/JC) estimated by the derived soil parameters were matched well with the TDR-based measurements for validation. During the long-term (2001~2015) period, IWMM irrigated the minimum water amounts to crop fields, while there were no irrigation events during the rainy days. Also, Sandy Loam (SL) and Silt (Si) soils require more irrigation water amounts than others, while the irrigation water were higher in the order of radish, wheat, soybean, and potato, respectively. Thus, the IWMM model can provide efficient irrigation water amounts to crop fields and be useful for regions at where limited water resources are available.
Scaled Down Experiment of Retention Basin with a Rotatable Bucket Using 3D Printer
박성직 Park Seong-jik , 이창구 Lee Chang-gu , 이제명 Lee Jemyung , 최원 Choi Won
59(2) 49-55, 2017
Scaled Down Experiment of Retention Basin with a Rotatable Bucket Using 3D Printer
박성직 Park Seong-jik , 이창구 Lee Chang-gu , 이제명 Lee Jemyung , 최원 Choi Won
DOI: JKWST Vol.59(No.2) 49-55, 2017
Recently climate change and urbananization have been increased surface runoff, resulting in flooding. Retention basins have been constructed to control urban flooding by reducing peak flow rate. Recently, the retention basin plays a role in controlling combined sewer overflows (CSOs) as well as urban flooding. In this study, the retention basin with a rotatable bucket was suggested and scale down experiments was performed for the optimum design of the retention basin. Scaled down model was produced using a 3D printer after it was designed as law of similarity. Two times for operating a rotary bucket is required to sweep out the sediments deposited on the bottom of the basin. Optimized dimensions for the retention basin were width of 5 m, height of 5 m, bucket radius of 0.5 m, and bottom slope of 5.0 %. It can be concluded that the results obtained from this study can be used to design the retention basin with a rotatable bucket which does not require energy to operate.
Accuracy Evaluation and Terrain Model Automation of Reservoir Using Unmanned Aerial Vehicle System
김정면 Kim Jungmeyon , 박성식 Park Sungsik , 김재휘 Kim Jaehwi , 안승우 Ahn Seungwoo , 박성용 Park Sungyong , 김용성 Kim Yongseong
59(2) 57-67, 2017
Accuracy Evaluation and Terrain Model Automation of Reservoir Using Unmanned Aerial Vehicle System
김정면 Kim Jungmeyon , 박성식 Park Sungsik , 김재휘 Kim Jaehwi , 안승우 Ahn Seungwoo , 박성용 Park Sungyong , 김용성 Kim Yongseong
DOI: JKWST Vol.59(No.2) 57-67, 2017
This study examines methods for creating terrain models of reservoirs and techniques for verifying the accuracy. Such methods and techniques use unmanned aerial vehicles which are capable of capturing high-resolution images repetitively, are highly economic, and capable of surveying wide areas. In addition, this study suggests methods of acquiring data for reservoir safety management, the methods which also employ the unmanned aerial vehicles. Therefore, this study helps solving problems that can arise when National Disaster Management System rebuilds a reservoir management database, such as a shortage of local government manpower. This study also contributes to providing element technology necessary for advancing the database.
Application of Urban Stream Discharge Simulation Using Short-term Rainfall Forecast
양유빈 Yhang Yoo Bin , 임창묵 Lim Chang Mook , 윤선권 Yoon Sun Kwon
59(2) 69-79, 2017
Application of Urban Stream Discharge Simulation Using Short-term Rainfall Forecast
양유빈 Yhang Yoo Bin , 임창묵 Lim Chang Mook , 윤선권 Yoon Sun Kwon
DOI: JKWST Vol.59(No.2) 69-79, 2017
In this study, we developed real-time urban stream discharge forecasting model using short-term rainfall forecasts data simulated by a regional climate model (RCM). The National Centers for Environmental Prediction (NCEP) Climate Forecasting System (CFS) data was used as a boundary condition for the RCM, namely the Global/Regional Integrated Model System(GRIMs)-Regional Model Program (RMP). In addition, we make ensemble (ESB) forecast with different lead time from 1-day to 3-day and its accuracy was validated through temporal correlation coefficient (TCC). The simulated rainfall is compared to observed data, which are automatic weather stations (AWS) data and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA 3B43; 3 hourly rainfall with 0.25°×0.25° resolution) data over midland of Korea in July 26-29, 2011. Moreover, we evaluated urban rainfall-runoff relationship using Storm Water Management Model (SWMM). Several statistical measures (e.g., percent error of peak, precent error of volume, and time of peak) are used to validate the rainfall-runoff model’s performance. The correlation coefficient (CC) and the Nash-Sutcliffe efficiency (NSE) are evaluated. The result shows that the high correlation was lead time (LT) 33-hour, LT 27-hour, and ESB forecasts, and the NSE shows positive values in LT 33-hour, and ESB forecasts. Through this study, it can be expected to utilizing the real-time urban flood alert using short-term weather forecast.
A Study on Making Map of Flood Using Digital Elevation Model (DEM)
임현택 Lim Hyun Taek , 김재휘 Kim Jae Hwi , 이학범 Lee Hak Beom , 박성용 Park Sung Yong , 김용성 Kim Yong Seong
59(2) 81-90, 2017
A Study on Making Map of Flood Using Digital Elevation Model (DEM)
임현택 Lim Hyun Taek , 김재휘 Kim Jae Hwi , 이학범 Lee Hak Beom , 박성용 Park Sung Yong , 김용성 Kim Yong Seong
DOI: JKWST Vol.59(No.2) 81-90, 2017
Recent floodplain data are important for river master plan, storm and flood damage reduction comprehensive plan and pre-disaster impact assessment. Hazard map, base of floodplain data, is being emphasized as important method of non-structural flood prevention and consist of inundation trace map, inundation expected map and hazard information map. Inundation trace map describes distribution of area that damaged from typhoons, heavy rain and tsunamis and includes identified flood level, flood depth and flood time from flooding area. However due to lack of these data by local government, which are foundational and supposed to be well prepared nationwide, having hard time for making inundation trace map or hazard information map. To overcome this problem, time consumption and budget reduction is required through various research. From this study, DEM (Digital Elevation Model) from image material from UAVS (Unmanned Aerial Vehicle System) and numeric geographic map from National Geographic Information Institute are used for calculating flooding damaged area and compared with inundation trace map. As results, inundation trace map DEM based on image material from UAVS had better accuracy than that used DEM based on numeric geographic map. And making hazard map could be easier and more accurate by utilizing image material from UAVS than before.
SS and COD Runoff from a Rice Field Watershed during Storm Events in the Growing and Non-growing Seasons
이정범 Lee Jeong Beom , 이재용 Lee Jae Yong , 김진수 Kim Jin Soo
59(2) 91-99, 2017
SS and COD Runoff from a Rice Field Watershed during Storm Events in the Growing and Non-growing Seasons
이정범 Lee Jeong Beom , 이재용 Lee Jae Yong , 김진수 Kim Jin Soo
DOI: JKWST Vol.59(No.2) 91-99, 2017
The objective of this research was to investigate runoff characteristics of suspended solid (SS) and chemical oxygen demand (COD) from a paddy field watershed during storm events in the growing and non-growing seasons. Average of event mean concentration (EMC) of pollutants were 56.9 mg/L for SS and 23.9 mg/L for COD in the non-growing season and 50.3 mg/L for SS and 11.9 mg/L for COD in the growing season. The average EMC of SS in the study area was much lower than that in the uplands irrespective of cultivation, suggesting that paddy fields control soil erosion. This may be because flooding and wet soil in the growing season, and rice straw residue and stubble on the topsoil in the non-growing season reduce soil erosion. The changing tillage practice from fall tillage to spring tillage avoids soil erosion due to shortening of the tilled fallow period. However, the average EMC of COD in the non-growing season was about twice as much that in the growing season likely due to the runoff of organics like rice straw residues. The relationship between SS and COD loads and stormwater runoff volume was expressed by power function. The exponent for SS was higher than that for COD, suggesting that SS load increased with stormflow runoff more than COD load did. The mean SS and COD loads per storm during the non-growing season were much lower than those in the growing season, and therefore non-point source pollution in the growing season should be managed well.