Готові списки джерел за темами / Patterson River Region (Vic)

Добірка наукової літератури з теми "Patterson River Region (Vic)"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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Статті в журналах з теми "Patterson River Region (Vic)"

Wang, Yuqian, Xiaoli Yang, Mengru Zhang, Linqi Zhang, Xiaohan Yu, Liliang Ren, Yi Liu, Shanhu Jiang, and Fei Yuan. "Projected Effects of Climate Change on Future Hydrological Regimes in the Upper Yangtze River Basin, China." Advances in Meteorology 2019 (January 14, 2019): 1–14. http://dx.doi.org/10.1155/2019/1545746.

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Climate change directly impacts the hydrological cycle via increasing temperatures and seasonal precipitation shifts, which are variable at local scales. The water resources of the Upper Yangtze River Basin (UYRB) account for almost 40% and 15% of all water resources used in the Yangtze Basin and China, respectively. Future climate change and the possible responses of surface runoff in this region are urgent issues for China’s water security and sustainable socioeconomic development. This study evaluated the potential impacts of future climate change on the hydrological regimes (high flow (Q5), low flow (Q95), and mean annual runoff (MAR)) of the UYRB using global climate models (GCMs) and a variable infiltration capacity (VIC) model. We used the eight bias-corrected GCM outputs from Phase 5 of the Coupled Model Intercomparison Project (CMIP5) to examine the effects of climate change under two future representative concentration pathways (RCP4.5 and RCP8.5). The direct variance method was adopted to analyze the contributions of precipitation and temperature to future Q5, Q95, and MAR. The results showed that the equidistant cumulative distribution function (EDCDF) can considerably reduce biases in the temperature and precipitation fields of CMIP5 models and that the EDCDF captured the extreme values and spatial pattern of the climate fields. Relative to the baseline period (1961–1990), precipitation is projected to slightly increase in the future, while temperature is projected to considerably increase. Furthermore, Q5, Q95, and MAR are projected to decrease. The projected decreases in the median value of Q95 were 21.08% to 24.88% and 16.05% to 26.70% under RCP4.5 and RCP8.5, respectively; these decreases were larger than those of MAR and Q5. Temperature increases accounted for more than 99% of the projected changes, whereas precipitation had limited projected effects on Q95 and MAR. These results indicate the drought risk over the UYRB will increase considerably in the future.

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Wang, Yuan, Wengang Zheng, Hongwei Xie, Qi Liu, and Jiahua Wei. "Study on Runoff Simulation of the Source Region of the Yellow River and the Inland Arid Source Region Based on the Variable Infiltration Capacity Model." Sustainability 12, no. 17 (August 28, 2020): 7041. http://dx.doi.org/10.3390/su12177041.

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Hydrological process simulation and rainfall–runoff analysis are important foundations for reasonably evaluating changes in water resources. In this paper, the VIC (Variable Infiltration Capacity) hydrological model was used to simulate runoff without observed data for exploring the applicability of the model in the Kequ, Dari, and Jimai river basins in the source region of the Yellow River, and the Balegen River basin in the inland arid source region. The results show that, from 2015 to 2018, the VIC model had a good simulation effect. The Nash efficiency coefficients (NSE) of the four basins were all above 0.7, and the NSE of the Dari River basin reached 0.93. The relative error (RE) of the three river basins was about 5%, on average, and the RE of the Balegen basin was 6.50%, indicating that the model has good applicability in the study area. Climate perturbation experiments were performed to quantitatively analyze the relationship between rainfall and runoff. The results show that, in the source area of the Yellow River, rainfall and runoff are roughly linearly related. However, in the inland arid source area, temperature has a slightly greater impact on runoff than rainfall.

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Li, Sisi, Mingliang Liu, Jennifer C. Adam, Huawei Pi, Fengge Su, Dongyue Li, Zhaofei Liu, and Zhijun Yao. "Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China." Remote Sensing 13, no. 8 (April 19, 2021): 1585. http://dx.doi.org/10.3390/rs13081585.

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Snowmelt water is essential to the water resources management over the Three-River Headwater Region (TRHR), where hydrological processes are influenced by snowmelt runoff and sensitive to climate change. The objectives of this study were to analyse the contribution of snowmelt water to the total streamflow (fQ,snow) in the TRHR by applying a snowmelt tracking algorithm and Variable Infiltration Capacity (VIC) model. The ratio of snowfall to precipitation, and the variation of the April 1 snow water equivalent (SWE) associated with fQ,snow, were identified to analyse the role of snowpack in the hydrological cycle. Prior to the simulation, the VIC model was validated based on the observed streamflow data to recognize its adequacy in the region. In order to improve the VIC model in snow hydrology simulation, Advanced Scanning Microwave Radiometer E (ASMR-E) SWE product data was used to compare with VIC output SWE to adjust the snow parameters. From 1971 to 2007, the averaged fQ,snow was 19.9% with a significant decreasing trend over entire TRHR (p < 0.05).The influence factor resulted in the rate of change in fQ,snow which were different for each sub-basin TRHR. The decreasing rate of fQ,snow was highest of 0.24%/year for S_Lantsang, which should be due to the increasing streamflow and the decreasing snowmelt water. For the S_Yangtze, the increasing streamflow contributed more than the stable change of snowmelt water to the decreasing fQ,snow with a rate of 0.1%/year. The April 1 SWE with the minimum value appearing after 2000 and the decreased ratio of snowfall to precipitation during the study period, suggested the snow solid water resource over the TRHR was shrinking. Our results imply that the role of snow in the snow-hydrological regime is weakening in the TRHR in terms of water supplement and runoff regulation due to the decreased fQ,snow and snowfall.

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Lobmeyr, M., D. Lohmann, and C. Ruhe. "An application of a large scale conceptual hydrological model over the Elbe region." Hydrology and Earth System Sciences 3, no. 3 (September 30, 1999): 363–74. http://dx.doi.org/10.5194/hess-3-363-1999.

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Abstract. This paper investigates the ability of the VIC-2L model coupled to a routing model to reproduce streamflow in the catchment of the lower Elbe River, Germany. The VIC-2L model, a hydrologically-based land surface scheme (LSS) which has been tested extensively in the Project for Intercomparison of Land-surface Parameterization Schemes (PILPS), is put up on the rotated grid of 1/6 degree of the atmospheric regional scale model (REMO) used in the Baltic Sea Experiment (BALTEX). For a 10 year period, the VIC-2L model is forced in daily time steps with measured daily means of precipitation, air temperature, pressure, wind speed, air humidity and daily sunshine duration. VIC-2L model output of surface runoff and baseflow is used as input for the routing model, which transforms modelled runoff into streamflow, which is compared to measured streamflow at selected gauge stations. The water balance of the basin is investigated and the model results on daily, monthly and annual time scales are discussed. Discrepancies appear in time periods where snow and ice processes are important. Extreme flood events are analyzed in more dital. The influence of calibration with respect to runoff is examined.

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Jin, Junliang, Guoqing Wang, Jianyun Zhang, Qinli Yang, Cuishan Liu, Yanli Liu, Zhenxin Bao, and Ruimin He. "Impacts of climate change on hydrology in the Yellow River source region, China." Journal of Water and Climate Change 11, no. 3 (September 3, 2018): 916–30. http://dx.doi.org/10.2166/wcc.2018.085.

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Abstract Variations of precipitation, temperature, and runoff in the Yellow River source region were analyzed with the Mann–Kendall and Spearman rank correlation tests over the past 60 years. Based on the seven climate scenarios from CMIP5 climate models under RCP2.6, RCP4.5, and RCP8.5, responses of hydrological process to climate change were simulated using the Variable Infiltration Capacity (VIC) model. Variation analysis results indicated that recorded temperature presented significant increasing trend. Daily minimum temperature presented higher increasing trend than daily maximum temperature. Annual gross precipitation presented minor increasing and annual runoff presented minor decreasing. The VIC model performed well on simulating monthly discharge at Tangnaihai station, with NSE of 0.91 and 0.93 in calibration and validation periods, respectively. The projected annual mean temperature would rise (with 25th and 75th percentiles) 1.07–1.32 °C, 1.76–2.33 °C, 3.45–4.29 °C, annual precipitation is expected to increase 3.43%–11.77%, 8.05%–17.27%, 12.84%–27.89%, and runoff would moderately increase with high variability of 0.82%–14.26%, −3.41%–19.14%, 1.43%–38.26% relative to the baseline of 1961–1990 under each RCP in the 2080s, respectively. The inhomogeneity of runoff may increase in the future. Many more droughts and floods under climate change may threaten social development in this region in the future.

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Santana-Cornélio, Gilcilene, Elciomar Araújo-de-Oliveira, Keila Magalhães-Xavier, Gabriela Wemilly Barros-da-Silva, Luis Reginaldo Ribeiro Rodrigues, and Emil José Hernández-Ruz. "The genetic structure of Pristimantis latro (Anura: Craugastoridae) mirrors traits of their life history." Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales 44, no. 172 (September 29, 2020): 729–39. http://dx.doi.org/10.18257/raccefyn.956.

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One of the main hypotheses to explain the origin of Amazonian diversity is the barrier effect of the rivers known as the riverine-barrier hypothesis, which suggests that riverine barriers isolated once continuous populations leading to differentiation and speciation. In this context, we studied the genetic structure of Pristimantis latro, a newly described species that inhabits a region under marked anthropic pressure due to expansive livestock, illegal mining, and hydroelectric dam construction. The DNA was extracted from 52 P. latro individuals and then amplified via polymerase chain reaction (PCR) using the mitochondrial 16S rRNA and COI markers. To infer the time of divergence between the P. latro localities, we built a species tree and performed an analysis of molecular variance (AMOVA) to infer the genetic differentiation between and within the P. latro populations. We found that P. latro has a marked genetic structure in the populations of the right and left margins of the Xingu River and within the Tapajós-Xingu and Xingu-Tocantins interfluvial regions and that the time of divergence between the populations of the East and West banks of the Xingu River occurred approximately 380,000 years ago. This pattern of genetic structure corresponds to that reported in recent articles for the Pristimantis genus evidencing that species without tadpoles exhibit a genetic structure explained by the hypothesis of rivers as barriers.

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Stephen, H., S. Ahmad, T. C. Piechota, and C. Tang. "Relating surface backscatter response from TRMM Precipitation Radar to soil moisture: results over a semi-arid region." Hydrology and Earth System Sciences Discussions 6, no. 5 (October 22, 2009): 6425–54. http://dx.doi.org/10.5194/hessd-6-6425-2009.

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Abstract. The Tropical Rainfall Measuring Mission (TRMM) carries aboard the Precipitation Radar (TRMMPR) that measures the backscatter (σ°) of the surface. σ° is sensitive to surface soil moisture and vegetation conditions. Due to sparse vegetation in arid and semi-arid regions, TRMMPR σ° primarily depends on the soil water content. In this study we relate TRMMPR σ° measurements to soil water content (ms) in Lower Colorado River Basin (LCRB). σ° dependence on ms is studied for different vegetation greenness values determined through Normalized Difference Vegetation Index (NDVI). A new model of σ° that couples incidence angle, ms, and NDVI is used to derive parameters and retrieve soil water content. The calibration and validation of this model are performed using simulated and measured ms data. Simulated ms is estimated using Variable Infiltration Capacity (VIC) model whereas measured ms is acquired from ground measuring stations in Walnut Gulch Experimental Watershed (WGEW). σ° model is calibrated using VIC and WGEW ms data during 1998 and the calibrated model is used to derive ms during later years. The temporal trends of derived ms are consistent with VIC and WGEW ms data with correlation coefficient (R) of 0.89 and 0.74, respectively. Derived ms is also consistent with the measured precipitation data with R=0.76. The gridded VIC data is used to calibrate the model at each grid point in LCRB and spatial maps of the model parameters are prepared. The model parameters are spatially coherent with the general regional topography in LCRB. TRMMPR σ° derived soil moisture maps during May (dry) and August (wet) 1999 are spatially similar to VIC estimates with correlation 0.67 and 0.76, respectively. This research provides new insights into Ku-band σ° dependence on soil water content in the arid regions.

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Stephen, H., S. Ahmad, T. C. Piechota, and C. Tang. "Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi-arid region." Hydrology and Earth System Sciences 14, no. 2 (February 5, 2010): 193–204. http://dx.doi.org/10.5194/hess-14-193-2010.

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Abstract. The Tropical Rainfall Measuring Mission (TRMM) carries aboard the Precipitation Radar (TRMMPR) that measures the backscatter (σ°) of the surface. σ° is sensitive to surface soil moisture and vegetation conditions. Due to sparse vegetation in arid and semi-arid regions, TRMMPR σ° primarily depends on the soil water content. In this study we relate TRMMPR σ° measurements to soil water content (ms) in the Lower Colorado River Basin (LCRB). σ° dependence on ms is studied for different vegetation greenness values determined through Normalized Difference Vegetation Index (NDVI). A new model of σ° that couples incidence angle, ms, and NDVI is used to derive parameters and retrieve soil water content. The calibration and validation of this model are performed using simulated and measured ms data. Simulated ms is estimated using the Variable Infiltration Capacity (VIC) model and measured ms is acquired from ground measuring stations in Walnut Gulch Experimental Watershed (WGEW). σ° model is calibrated using VIC and WGEW ms data during 1998 and the calibrated model is used to derive ms during later years. The temporal trends of derived ms are consistent with VIC and WGEW ms data with a correlation coefficient (R) of 0.89 and 0.74, respectively. Derived ms is also consistent with the measured precipitation data with R=0.76. The gridded VIC data is used to calibrate the model at each grid point in LCRB and spatial maps of the model parameters are prepared. The model parameters are spatially coherent with the general regional topography in LCRB. TRMMPR σ° derived soil moisture maps during May (dry) and August (wet) 1999 are spatially similar to VIC estimates with correlation 0.67 and 0.76, respectively. This research provides new insights into Ku-band σ° dependence on soil water content in the arid regions.

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Alvarenga, Lívia Alves, Vinícius Siqueira Oliveira Carvalho, Vinícius Augusto de Oliveira, Carlos Rogério de Mello, Alberto Colombo, Javier Tomasella, and Pâmela Aparecida Melo. "Hydrological simulation with SWAT and VIC Models in the Verde River Watershed, Minas Gerais." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 15, no. 4 (July 6, 2020): 1. http://dx.doi.org/10.4136/ambi-agua.2492.

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Successful streamflow forecasts depend on an adequate performance evaluation of the hydrological model. In this study, the hydrological responses were compared using two hydrological models, physic-based and semi-distributed, Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC), using input data from the Verde River Watershed, located in the Minas Gerais state in southern Brazil. This is a study of one of the most important headwater watershed regions of Brazil (Mantiqueira Range). Both models were suitable for streamflow simulation, with values of R2 (determination coefficient) and NSE (Nash-Sutcliffe) higher than 0.8, NSELog higher than 0.35 (Nash–Sutcliffe Efficiency of the logarithmic values of discharge) and PBIAS (percentage deviation) less than 25%. The integration of SWAT and VIC models can be useful in different water-resource assessment studies. Therefore, based upon this study further investigations should be conducted using various hydrological models and climate, land-use and land-cover changes scenarios in the region.

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Wang, Zhaoli, Jiachao Chen, Chengguang Lai, Ruida Zhong, Xiaohong Chen, and Haijun Yu. "Hydrologic assessment of the TMPA 3B42-V7 product in a typical alpine and gorge region: the Lancang River basin, China." Hydrology Research 49, no. 6 (July 9, 2018): 2002–15. http://dx.doi.org/10.2166/nh.2018.024.

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Abstract To evaluate the accuracy and applicability of the TMPA 3B42-V7 precipitation product for the Lancang River basin, we used different statistical indices to explore the performance of the product in comparison to gauge data. Then, we performed a hydrologic simulation using the Variable Infiltration Capacity (VIC) hydrological model with two scenarios (Scenario I: streamflow simulation using gauge-calibrated parameters; Scenario II: streamflow simulation using 3B42-V7-recalibrated parameters) to verify the applicability of the product. The results of the precipitation analysis show good accuracy of the V7 precipitation data. The accuracy increases with the increase of both space and time scales, while time scale increases cause a stronger effect. The satellite can accurately measure most of the precipitation but tends to misidentify non-precipitation events as light precipitation events (<1 mm/day). The results of the hydrologic simulation show that the VIC hydrological model has good applicability for the Lancang River basin. However, 3B42-V7 data did not perform as well under Scenario I with the lowest Nash–Sutcliffe coefficient of efficiency (NSCE) of 0.42; Scenario II suggests that the error drops significantly and the NSCE increases to 0.70 or beyond. In addition, the simulation accuracy increases with increased temporal scale.

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Дисертації з теми "Patterson River Region (Vic)"

Adeland, Jeanne-Helene. "Bridging troubled water : social capital and the Snowy River." Master's thesis, 2002. http://hdl.handle.net/1885/148716.

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Tennant-Wood, Robin. "Beyond a political construct of nature? : the campaign to save the Snowy River and the future of political environmentalism." Phd thesis, 2002. http://hdl.handle.net/1885/147908.

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Kemp, Tony I. S. "Petrogenesis of granitic rocks : a source-based perspective." Phd thesis, 2001. http://hdl.handle.net/1885/146162.

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