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Dr. Jaehyeon Ryu
Department of Soil and Water System, University of Idaho, ID 83702, Boise, USA

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0 Climate Change
0 Precision Agriculture
0 Remote Sensing
0 Drought
0 smart farming

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Journal article
Published: 30 August 2020 in Water
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We conducted a study on water management at the Boise River Watershed in a changing global environment potentially induced by climate variability and urbanization. Environmental ‘hotspots’ associated with water quality and quantity were first identified to select suitable management options, such as Low Impact Development (LID is commonly used for urban storm water management to reduce impacts induced by flash flood in urban environment while improving water quality standard by filtering non-point source pollutants from predominant, impervious land segments in urban settings.) and Best Management Practices (BMPs) for urban and rural land segments, respectively. A decision-making process was employed to evaluate the cost-effectiveness for each management option based on multiple criteria, including water quality, financial challenges, and other environmental concerns. The results show that LID/BMPs were useful to control water quality in the watershed. The effectiveness of LID/BMPs implementation was subject to change with the placement location and consideration objectives associated with economic or environmental aspects. It appears that about 10% of the study area is required to implement water management options (LID/BMP) to improve water quality potentially driven by climate variability and urbanization. We anticipate that this study will make a case toward developing a sustainable water management plan in a changing global environment, especially for the urban–rural interface settings.

ACS Style

JungJin Kim; Jae Hyeon Ryu. Decision-Making of LID-BMPs for Adaptive Water Management at the Boise River Watershed in a Changing Global Environment. Water 2020, 12, 2436 .

AMA Style

JungJin Kim, Jae Hyeon Ryu. Decision-Making of LID-BMPs for Adaptive Water Management at the Boise River Watershed in a Changing Global Environment. Water. 2020; 12 (9):2436.

Chicago/Turabian Style

JungJin Kim; Jae Hyeon Ryu. 2020. "Decision-Making of LID-BMPs for Adaptive Water Management at the Boise River Watershed in a Changing Global Environment." Water 12, no. 9: 2436.

Discussion
Published: 15 July 2020 in Geoforum
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Recognizing that Western ways of knowing have been an underlying force resulting in the current conditions of the earth, scholars and practitioners have been exploring other worldviews and understandings for hydrosocial research. Much of this work has been focused on Indigenous ways of knowing, which are often considered to be place and culture-based; and hence inappropriate in other contexts and/or for use by non-Indigenous actors. Alternatively, Buddhism was purposely disseminated widely and has been successfully adopted throughout the world over the past 2500 years. Like Indigenous knowledge systems, the very core of Buddhist philosophy is a different way of thinking and knowing, which is based on concepts like interdependence, impermanence, and ethics. We build off of previous work by scholars and Buddhist leaders to connect Buddhist philosophy and hydrosocial research, with the aim of developing a pluralistic framework to serve as a middle path of knowing.

ACS Style

Riveraine Walters; Robinson Torres-Salinas; Jae H. Ryu. Beyond the thalweg: Toward a Buddhist framework for hydrosocial research. Geoforum 2020, 117, 296 -299.

AMA Style

Riveraine Walters, Robinson Torres-Salinas, Jae H. Ryu. Beyond the thalweg: Toward a Buddhist framework for hydrosocial research. Geoforum. 2020; 117 ():296-299.

Chicago/Turabian Style

Riveraine Walters; Robinson Torres-Salinas; Jae H. Ryu. 2020. "Beyond the thalweg: Toward a Buddhist framework for hydrosocial research." Geoforum 117, no. : 296-299.

Journal article
Published: 18 May 2019 in Water
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We conducted a study on climate-driven flash flood risk in the Boise River Watershed using flood frequency analysis and climate-driven hydrological simulations over the next few decades. Three different distribution families, including the Gumbel Extreme Value Type I (GEV), the 3-parameter log-normal (LN3) and log-Pearson type III (LP3) are used to explore the likelihood of potential flash flood based on the 3-day running total streamflow sequences (3D flows). Climate-driven ensemble streamflows are also generated to evaluate how future climate variability affects local hydrology associated with potential flash flood risks. The result indicates that future climate change and variability may contribute to potential flash floods in the study area, but incorporating embedded-uncertainties inherited from climate models into water resource planning would be still challenging because grand investments are necessary to mitigate such risks within institutional and community consensus. Nonetheless, this study will provide useful insights for water managers to plan out sustainable water resources management under an uncertain and changing climate.

ACS Style

Jae Hyeon Ryu; JungJin Kim. A Study on Climate-Driven Flash Flood Risks in the Boise River Watershed, Idaho. Water 2019, 11, 1039 .

AMA Style

Jae Hyeon Ryu, JungJin Kim. A Study on Climate-Driven Flash Flood Risks in the Boise River Watershed, Idaho. Water. 2019; 11 (5):1039.

Chicago/Turabian Style

Jae Hyeon Ryu; JungJin Kim. 2019. "A Study on Climate-Driven Flash Flood Risks in the Boise River Watershed, Idaho." Water 11, no. 5: 1039.

Journal article
Published: 19 April 2019 in Water
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The research features how parallel computing can advance hydrological performances associated with different calibration schemes (SCOs). The result shows that parallel computing can save up to 90% execution time, while achieving 81% simulation improvement. Basic statistics, including (1) index of agreement (D), (2) coefficient of determination (R2), (3) root mean square error (RMSE), and (4) percentage of bias (PBIAS) are used to evaluate simulation performances after model calibration in computer parallelism. Once the best calibration scheme is selected, additional efforts are made to improve model performances at the selected calibration target points, while the Rescaled Adjusted Partial Sums (RAPS) is used to evaluate the trend in annual streamflow. The qualitative result of reducing execution time by 86% on average indicates that parallel computing is another avenue to advance hydrologic simulations in the urban-rural interface, such as the Boise River Watershed, Idaho. Therefore, this research will provide useful insights for hydrologists to design and set up their own hydrological modeling exercises using the cost-effective parallel computing described in this case study.

ACS Style

JungJin Kim; Jae Hyeon Ryu. Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study. Water 2019, 11, 823 .

AMA Style

JungJin Kim, Jae Hyeon Ryu. Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study. Water. 2019; 11 (4):823.

Chicago/Turabian Style

JungJin Kim; Jae Hyeon Ryu. 2019. "Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study." Water 11, no. 4: 823.

Technical paper
Published: 20 December 2018 in JAWRA Journal of the American Water Resources Association
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The potential impacts driven by climate variability and urbanization in the Boise River Watershed (BRW), located in southwestern Idaho, are evaluated. The outcomes from Global Circulation Models (GCMs) and land use and land cover (LULC) analysis have been incorporated into a hydrological and environmental modeling framework to characterize how climate variability and urbanization can affect the local hydrology and environment at the BRW. The combined impacts of future climate and LULC change are also evaluated relative to the historical baseline conditions. For modeling exercises, Hydrological Simulation Program‐Fortran (HSPF) is used in parallel computing and statistical techniques, including spatial downscaling and bias correlation, are employed to evaluate climate consequences derived from GCMs as well. The implications of climate variability and land use change driven by urbanization are then observed to evaluate how these overall global challenges can affect water quantity and quality conditions at the BRW. The results show the combined impacts of both climate change and urbanization can lead to more seasonal variability of streamflow (from −27.5% to 12.5%) and water quality, including sediment (from −36.5% to 49.3%), nitrogen (from −24% to 124.2%), and phosphorus (from −13.3% to 21.2%) during summer and early fall over the next several decades.

ACS Style

JungJin Kim; Jae Hyeon Ryu. Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed, Idaho. JAWRA Journal of the American Water Resources Association 2018, 55, 133 -153.

AMA Style

JungJin Kim, Jae Hyeon Ryu. Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed, Idaho. JAWRA Journal of the American Water Resources Association. 2018; 55 (1):133-153.

Chicago/Turabian Style

JungJin Kim; Jae Hyeon Ryu. 2018. "Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed, Idaho." JAWRA Journal of the American Water Resources Association 55, no. 1: 133-153.

Technical paper
Published: 30 April 2016 in JAWRA Journal of the American Water Resources Association
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Quantifying surface water shortages in arid and semiarid agricultural regions is challenging because limited water supplies are distributed over long distances based on complex water management systems constrained by legal, economic, and social frameworks that evolve with time. In such regions, the water supply is often derived in a climate dramatically different from where the water is diverted to meet agricultural demand. The existing drought indices which rely on local climate do not portray the complexities of the economic and legal constraints on water delivery. Nor do these indices quantify the shortages that occur in drought. Therefore, this research proposes a methodological approach to define surface water shortages in irrigated agricultural systems using a newly developed index termed the Surface Water Delivery Index (SWDI). The SWDI can be used to uniformly quantify surface water deficits/shortages at the end of the irrigation season. Results from the SWDI clearly illustrate how water shortages in droughts identified by the existing indices (e.g., SPI and PDSI) vary strongly both within and between basins. Some surface water entities are much more prone to water shortages than other entities based both on their source of water supply and water right portfolios.

ACS Style

David J. Hoekema; Jae Hyeon Ryu. Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI). JAWRA Journal of the American Water Resources Association 2016, 52, 737 -755.

AMA Style

David J. Hoekema, Jae Hyeon Ryu. Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI). JAWRA Journal of the American Water Resources Association. 2016; 52 (3):737-755.

Chicago/Turabian Style

David J. Hoekema; Jae Hyeon Ryu. 2016. "Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI)." JAWRA Journal of the American Water Resources Association 52, no. 3: 737-755.

Journal article
Published: 01 April 2016 in Journal of Hydrologic Engineering
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ACS Style

Mohammad M. Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. Closure to “Development of Soil Moisture Drought Index to Characterize Droughts” by Mohammad M. Sohrabi, Jae H. Ryu, John Abatzoglou, and John Tracy. Journal of Hydrologic Engineering 2016, 21, 07016002 .

AMA Style

Mohammad M. Sohrabi, Jae H. Ryu, John Abatzoglou, John Tracy. Closure to “Development of Soil Moisture Drought Index to Characterize Droughts” by Mohammad M. Sohrabi, Jae H. Ryu, John Abatzoglou, and John Tracy. Journal of Hydrologic Engineering. 2016; 21 (4):07016002.

Chicago/Turabian Style

Mohammad M. Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. 2016. "Closure to “Development of Soil Moisture Drought Index to Characterize Droughts” by Mohammad M. Sohrabi, Jae H. Ryu, John Abatzoglou, and John Tracy." Journal of Hydrologic Engineering 21, no. 4: 07016002.

Journal article
Published: 15 March 2016 in Water Resources Management
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The gap filling is common practice to complete hydrological data series without missing values for environmental simulations and water resources modeling in a changing climate. However, gap filling processes are often cumbersome because physical constraints, such as complex terrain and density of weather stations, often limit the ability to improve the performance. Although several studies of gap filling methods have been developed and improved by researchers, it is still challenging to find the best gap filling method for broad applications. This research explores a gap filling method to improve climate data estimates (e.g., daily precipitation) using gamma distribution function with statistical correlation (GSC) in conjunction with cluster analysis (CA). The daily dataset at the source stations (SSs) is utilized to estimate missing values at the target stations (TSs) in the study area. Three standard gap filling methods, including Inverse Distance Weight (IDW), Ordinary Kriging (OK), and Gauge Mean Estimator (GME) are evaluated along with cluster analysis based on statistical measures (RMSE, MAE, R) and skill scores (HSS, PSS, CSI). The result indicates that cluster analysis can improve estimation performances regardless of the gap filling methods used. However, the GSC method associated with cluster analysis, in particular, outperformed other methods when the performance comparison task was conducted under rain and no-rain conditions in the study area. The proposed method, GSC, therefore, will be used as a case toward advancing gap filling methods in the field.

ACS Style

JungJin Kim; Jae H. Ryu. A Heuristic Gap Filling Method for Daily Precipitation Series. Water Resources Management 2016, 30, 2275 -2294.

AMA Style

JungJin Kim, Jae H. Ryu. A Heuristic Gap Filling Method for Daily Precipitation Series. Water Resources Management. 2016; 30 (7):2275-2294.

Chicago/Turabian Style

JungJin Kim; Jae H. Ryu. 2016. "A Heuristic Gap Filling Method for Daily Precipitation Series." Water Resources Management 30, no. 7: 2275-2294.

Journal article
Published: 01 November 2015 in Journal of Hydrologic Engineering
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A new drought index termed the “soil moisture drought index (SODI)” is developed to characterize droughts. The premise of the index is based on how much water is required to attain soil moisture at field capacity. SODI captures variations of precipitation, temperature, and soil moisture over time. Three widely used drought indices, including the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index (SPEI), and the self-calibrated palmer drought index (sc-PDSI) are compared with SODI along with local hydrological variables such as streamflow, reservoir storage, and groundwater level for cross-validation. The result indicates that SODI reacts more evidently to relate changes in precipitation and temperature than SPI and SPEI by characterizing soil moisture over time. Results also show that SODI outperforms the existing drought indices in the sense that SODI can detect and quantify the extended severe droughts associated with climate variability and change. SODI will add momentum to build a case toward the use of soil moisture information for drought analysis in a changing environment.

ACS Style

Mohammad M. Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. Development of Soil Moisture Drought Index to Characterize Droughts. Journal of Hydrologic Engineering 2015, 20, 04015025 .

AMA Style

Mohammad M. Sohrabi, Jae H. Ryu, John Abatzoglou, John Tracy. Development of Soil Moisture Drought Index to Characterize Droughts. Journal of Hydrologic Engineering. 2015; 20 (11):04015025.

Chicago/Turabian Style

Mohammad M. Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. 2015. "Development of Soil Moisture Drought Index to Characterize Droughts." Journal of Hydrologic Engineering 20, no. 11: 04015025.

Article
Published: 01 July 2015 in Water Resources Management
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Multiple missing levels are explored to quantify a threshold of missing values during gap filling processes in daily precipitation series. An autoregressive model was used to generate rainfall estimates and subsets of data are selected with four sampling windows (whole data, front, middle, and rear section) at different missing levels, including 5, 10, 15, 16, 17, and 18 %. The proposed threshold was found and evaluated based on statistical criteria, including coefficient of determination (R2) and its associated index termed “the R2 difference index (RDI).” The result indicates that about 15 % missing level of data is plausible to construct daily precipitation series for further hydrological analysis when the Gamma distribution function (GDF) is used as an estimation method. The threshold determined from this study will contribute to gap filling guidelines, especially for water managers and hydrologists to take advantage of skillful estimates for missing daily precipitation data.

ACS Style

JungJin Kim; Jae H. Ryu. Quantifying a Threshold of Missing Values for Gap Filling Processes in Daily Precipitation Series. Water Resources Management 2015, 29, 4173 -4184.

AMA Style

JungJin Kim, Jae H. Ryu. Quantifying a Threshold of Missing Values for Gap Filling Processes in Daily Precipitation Series. Water Resources Management. 2015; 29 (11):4173-4184.

Chicago/Turabian Style

JungJin Kim; Jae H. Ryu. 2015. "Quantifying a Threshold of Missing Values for Gap Filling Processes in Daily Precipitation Series." Water Resources Management 29, no. 11: 4173-4184.

Journal article
Published: 01 July 2014 in Journal of Hydrologic Engineering
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Basin discretization effects in HSPF simulations were investigated to provide useful insights for hydrologists to determine the proper catchment size for basin scale modeling. The next generation radar (NEXRAD) rainfall estimates were incorporated into the HSPF modeling environment to generate streamflows at various catchments sizes ranging from 37 to 2,484 km2. This research aims to identify how HSPF model performance can be improved by a marginal level of spatial discretization in rainfall-runoff modeling. Parameter estimation software was used for model calibration using data periods from 1998 to 2000. All simulations at different discretization levels above approximately 23% of the basin size resulted in good statistical values, with correlation coefficients of 0.82–0.87 and Nash-Sutcliffe efficiency coefficients of 0.61–0.73. However, the modeling performances of HSPF are limited when the catchment size reaches below 8.18% of the basin size, regardless of automatic calibration efforts. The result indicates that basin discretization at finer scales does not necessarily improve HSPF simulation results with NEXRAD inputs.

ACS Style

JungJin Kim; Jae Hyeon Ryu. Threshold of Basin Discretization Levels for HSPF Simulations with NEXRAD Inputs. Journal of Hydrologic Engineering 2014, 19, 1401 -1412.

AMA Style

JungJin Kim, Jae Hyeon Ryu. Threshold of Basin Discretization Levels for HSPF Simulations with NEXRAD Inputs. Journal of Hydrologic Engineering. 2014; 19 (7):1401-1412.

Chicago/Turabian Style

JungJin Kim; Jae Hyeon Ryu. 2014. "Threshold of Basin Discretization Levels for HSPF Simulations with NEXRAD Inputs." Journal of Hydrologic Engineering 19, no. 7: 1401-1412.

Article
Published: 24 June 2014 in Water Resources Management
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Uncertain future climate, recent persistent droughts, and subsequent water conflicts increasingly threaten the sustainability of regional water resources in the United States. Climate change and ongoing water disputes brought about by changes in water availability and timing emphasize the need for decision makers to develop proactive adaptive management strategies to mitigate losses. Developing a drought management system equipped with advanced visualization settings is critical to lay out drought evolvement at local scales, yet an effort has not been made to evaluate how different spatial discretization can represent local drought as opposed to conventional drought monitoring. Gridded drought indices, including the standardized precipitation index (SPI), Palmer drought severity index (PDSI), and Hydrologic drought index (HDI) at high-resolution spatial (12 km by 12 km) scales are demonstrated to provide useful insights to evaluate local drought possibly driven by a rapidly changing global environment. A new method for duration factors in PDSI is also discussed to better represent drought conditions over time and space.

ACS Style

Jae H. Ryu; Mehdi Sohrabi; Anil Acharya. Toward Mapping Gridded Drought Indices to Evaluate Local Drought in a Rapidly Changing Global Environment. Water Resources Management 2014, 28, 3859 -3869.

AMA Style

Jae H. Ryu, Mehdi Sohrabi, Anil Acharya. Toward Mapping Gridded Drought Indices to Evaluate Local Drought in a Rapidly Changing Global Environment. Water Resources Management. 2014; 28 (11):3859-3869.

Chicago/Turabian Style

Jae H. Ryu; Mehdi Sohrabi; Anil Acharya. 2014. "Toward Mapping Gridded Drought Indices to Evaluate Local Drought in a Rapidly Changing Global Environment." Water Resources Management 28, no. 11: 3859-3869.

Journal article
Published: 01 March 2014 in Journal of Hydrologic Engineering
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Streamflow disaggregation from monthly to daily was performed using a relatively simple, flexible, and adaptive method. Only streamflow acts as a decision variable in this disaggregation process. To disaggregate monthly to daily flow at the target station (TS), monthly counterparts at the source station (SS) were selected on the basis of minimum error criteria, which are calculated with respect to streamflow volume within a three-month time window. Daily streamflow indexes at SS were then calculated to disaggregate monthly to daily streamflow at TS during the disaggregation process. The effectiveness of the proposed method has been demonstrated through its application at both regulated and unregulated waterways located in the northwest states, including Idaho and Wyoming. For both regulated and unregulated monthly streamflow, the proposed method well represents daily streamflow realizations similar to historical flows and preserves both mass balance and a series of statistical characteristics. However, the results also indicate that the quality of disaggregated daily streamflow varies for individual applications depending on the selection of stations, their geographic information, and data availability. The disaggregation model used in this research is transparent, user friendly, less intensive, and less time-consuming so that it can be used at any watershed without difficulty or much effort. Consequently, because development and availability of daily streamflow is important for water resources planning and management, including reservoir operation, water quality study, and environmental/ecological modeling, this research will help bridge the gap among interdisciplinary water research activities, especially for studies of the impacts of hydrologic events possibly driven by extreme weather variability and climate change.

ACS Style

Anil Acharya; Jae H. Ryu. Simple Method for Streamflow Disaggregation. Journal of Hydrologic Engineering 2014, 19, 509 -519.

AMA Style

Anil Acharya, Jae H. Ryu. Simple Method for Streamflow Disaggregation. Journal of Hydrologic Engineering. 2014; 19 (3):509-519.

Chicago/Turabian Style

Anil Acharya; Jae H. Ryu. 2014. "Simple Method for Streamflow Disaggregation." Journal of Hydrologic Engineering 19, no. 3: 509-519.

Journal article
Published: 31 March 2013 in Journal of Korea Water Resources Association
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ACS Style

Jung Jin Kim; Jae Hyeon Ryu. GCMs-Driven Snow Depth and Hydrological Simulation for 2018 Pyeongchang Winter Olympics. Journal of Korea Water Resources Association 2013, 46, 229 -243.

AMA Style

Jung Jin Kim, Jae Hyeon Ryu. GCMs-Driven Snow Depth and Hydrological Simulation for 2018 Pyeongchang Winter Olympics. Journal of Korea Water Resources Association. 2013; 46 (3):229-243.

Chicago/Turabian Style

Jung Jin Kim; Jae Hyeon Ryu. 2013. "GCMs-Driven Snow Depth and Hydrological Simulation for 2018 Pyeongchang Winter Olympics." Journal of Korea Water Resources Association 46, no. 3: 229-243.

Original paper
Published: 18 September 2012 in Natural Hazards
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To investigate consequences of climate extreme and variability on agriculture and regional water resource, twenty-seven climatic indices of temperature and precipitation over Idaho, USA, were computed. Precipitation, mean temperature and maximum temperature, self-calibrated Palmer Drought Index and Standardized Precipitation Index for 1-, 3-, 6- and 12-month time scales were used to identify spatial and temporal distribution of climatic extreme and variability as well as drought frequency and magnitude. Seven oceanic indices were also used to detect teleconnections between climatic indices and regional droughts. The analyses were conducted for 56 meteorological stations, during 1962–2008, characterized by a long-term and high-quality data set. The result indicates that decreasing trends and increasing trends are identified for precipitation and temperature, respectively. Consequently, it appears that frost and ice days dwindle as growing season (May–August) length, tropical nights and summer days increase. Given current climate conditions, the results also imply that these trends will continue in the future possibly driven by uncertain climate variability. We anticipate that these indices explained by teleconnections will improve drought-forecasting capability in this region.

ACS Style

Mehdi Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. Climate extreme and its linkage to regional drought over Idaho, USA. Natural Hazards 2012, 65, 653 -681.

AMA Style

Mehdi Sohrabi, Jae H. Ryu, John Abatzoglou, John Tracy. Climate extreme and its linkage to regional drought over Idaho, USA. Natural Hazards. 2012; 65 (1):653-681.

Chicago/Turabian Style

Mehdi Sohrabi; Jae H. Ryu; John Abatzoglou; John Tracy. 2012. "Climate extreme and its linkage to regional drought over Idaho, USA." Natural Hazards 65, no. 1: 653-681.

Journal article
Published: 06 August 2012 in JAWRA Journal of the American Water Resources Association
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Water supply uncertainty continues to threaten the reliability of regional water resources in the western United States. Climate variability and water dispute potentials induce water managers to develop proactive adaptive management strategies to mitigate future hydroclimate impacts. The Eastern Snake Plain Aquifer in the state of Idaho is also facing these challenges in the sense that population growth and economic development strongly depend on reliable water resources from underground storage. Drought and subsequent water conflict often drive scientific research and political agendas because water resources availability and aquifer management for a sustainable rural economy are of great interest. In this study, a system dynamics approach is applied to address dynamically complex problems with management of the aquifer and associated surface‐water and groundwater interactions. Recharge and discharge dynamics within the aquifer system are coded in an environmental modeling framework to identify long‐term behavior of aquifer responses to uncertain future hydrological variability. The research shows that the system dynamics approach is a promising modeling tool to develop sustainable water resources planning and management in a collaborative decision‐making framework and also to provide useful insights and alternative opportunities for operational management, policy support, and participatory strategic planning to mitigate future hydroclimate impacts in human dimensions.

ACS Style

Jae H. Ryu; Bryce A Contor; Gary L Johnson; Richard Allen; John Tracy. System Dynamics to Sustainable Water Resources Management in the Eastern Snake Plain Aquifer Under Water Supply Uncertainty1. JAWRA Journal of the American Water Resources Association 2012, 48, 1204 -1220.

AMA Style

Jae H. Ryu, Bryce A Contor, Gary L Johnson, Richard Allen, John Tracy. System Dynamics to Sustainable Water Resources Management in the Eastern Snake Plain Aquifer Under Water Supply Uncertainty1. JAWRA Journal of the American Water Resources Association. 2012; 48 (6):1204-1220.

Chicago/Turabian Style

Jae H. Ryu; Bryce A Contor; Gary L Johnson; Richard Allen; John Tracy. 2012. "System Dynamics to Sustainable Water Resources Management in the Eastern Snake Plain Aquifer Under Water Supply Uncertainty1." JAWRA Journal of the American Water Resources Association 48, no. 6: 1204-1220.

Proceedings article
Published: 14 May 2010 in World Environmental and Water Resources Congress 2010
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Prolonged duration of drought has large economic impacts and significant environmental and societal effects. Therefore, analysis of potential drought is a critical component in water resources planning and management. The objective of this research is to develop a synthetic streamflow series for two gauging stations located in the upper Nakdong River Basin through an auto-regressive model. The model was then validated by comparing relevant statistics of the synthetic streamflow series with the historical data. Furthermore, the model was used to forecast 12 leading month streamflows that were used for drought forecasting considering four drought thresholds which includes streamflow mean, monthly streamflow mean, Q70 and Q90. Several drought periods were observed with different severity in the lead time. This model is expected to assist in potential risk reduction due to drought events. Ultimately, this can contribute in the current improvements and application to practical water resources problems an alternative approach in estimating and evaluating long-term effects of future drought scenarios.

ACS Style

S. M. Jeong; C. J. P. Rubio; J. H. Ryu; K. R. Oh; M. J. Park. Hydrological Drought in the Upper Nakdong River Basin. World Environmental and Water Resources Congress 2010 2010, 1 .

AMA Style

S. M. Jeong, C. J. P. Rubio, J. H. Ryu, K. R. Oh, M. J. Park. Hydrological Drought in the Upper Nakdong River Basin. World Environmental and Water Resources Congress 2010. 2010; ():1.

Chicago/Turabian Style

S. M. Jeong; C. J. P. Rubio; J. H. Ryu; K. R. Oh; M. J. Park. 2010. "Hydrological Drought in the Upper Nakdong River Basin." World Environmental and Water Resources Congress 2010 , no. : 1.

Proceedings article
Published: 14 May 2010 in World Environmental and Water Resources Congress 2010
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Climate variability and change continue to threaten the sustainability of water resources around the world. Increasing temperature is likely to modify the timing, form, and intensity of precipitation events, which will alter regional and hydrologic cycles. Since drought, water shortages, and subsequent water conflicts may become an increasing threat in many international watersheds, sustainable water resources planning is critical to cope with climate change. In this study, the authors propose a framework of sustainable water resources planning based on coupled hydroclimate modeling and decision support tools to promote collaborative efforts against abrupt future climate change. A participatory modeling approach based on a stakeholder-driven decision support system will provide useful insights for water planners to pursue sustainable water resources under uncertain future climate. Additionally, the framework suggested by this study will facilitate multidisciplinary responses to future climate variability in the context of socioeconomic implications and policy decisions in human dimensions

ACS Style

Jae Ryu; Seon Ki Park; Kwangya Lee. A Framework of Hydroclimate Modeling and Decision Support Tools for Sustainable Water Resources Planning in a Changing Climate. World Environmental and Water Resources Congress 2010 2010, 1 .

AMA Style

Jae Ryu, Seon Ki Park, Kwangya Lee. A Framework of Hydroclimate Modeling and Decision Support Tools for Sustainable Water Resources Planning in a Changing Climate. World Environmental and Water Resources Congress 2010. 2010; ():1.

Chicago/Turabian Style

Jae Ryu; Seon Ki Park; Kwangya Lee. 2010. "A Framework of Hydroclimate Modeling and Decision Support Tools for Sustainable Water Resources Planning in a Changing Climate." World Environmental and Water Resources Congress 2010 , no. : 1.