Готові списки джерел за темами / Runoff

Добірка наукової літератури з теми "Runoff"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 4 травня 2024

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Статті в журналах з теми "Runoff":

1

Ng, H. Y. F., T. Mayer, and J. Marsalek. "Phosphorus Transport in Runoff from a Small Agricultural Watershed." Water Science and Technology 28, no. 3-5 (August 1, 1993): 451–60. http://dx.doi.org/10.2166/wst.1993.0448.

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Impacts of phosphorus (P) discharges on receiving waters depend on the magnitude of loadings and their P bioavai lability which varies for various phosphorus forms. To advance the understanding of P transport in agricultural runoff, the main nonpoint source of P, seasonal and short-term variabilities in P forms were studied. Total phosphorus (TP), total paniculate phosphorus (TPP) and total suspended sediment (SS) concentrations were measured in runoff from the Nissouri Creek agricultural watershed. About 54% of TP in runoff was associated with sediment particles (>0.45 µm). The remaining 46% of TP was transported in the dissolved form, as soluble P (SP). Significant correlations were found between TPP and the inorganic fraction of suspended sediments (IS), and SP and the organic matter concentration in suspended sediments (OS). None of the phosphorus forms studied correlated well with runoff volumes. TP, SP and TSS concentrations varied substantially during runoff events and during the year. Higher proportion of paniculate P were typically observed at the time when runoff volumes were high, often during the early phase of runoff. Highest TP and SP concentrations were measured in spring and fall runoffs exceeding those in summer runoffs by an order of magnitude. The suspended sediments concentrations in spring and fall runoffs were, however, two orders of magnitude higher than those in the summer runoffs.
2

Fok, Hok Sum, Yutong Chen, and Linghao Zhou. "Prospects for Reconstructing Daily Runoff from Individual Upstream Remotely-Sensed Climatic Variables." Remote Sensing 14, no. 4 (February 18, 2022): 999. http://dx.doi.org/10.3390/rs14040999.

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Basin water supply, planning, and its allocation requires runoff measurements near an estuary mouth. However, insufficient financial budget results in no further runoff measurements at critical in situ stations. This has recently promoted the runoff reconstruction via regression between the runoff and nearby remotely-sensed variables on a monthly scale. Nonetheless, reconstructing daily runoff from individual basin-upstream remotely-sensed climatic variables is yet to be explored. This study investigates standardized data regression approach to reconstruct daily runoff from the individual remotely-sensed climatic variables at the Mekong Basin’s upstream. Compared to simple linear regression, the daily runoff reconstructed and forecasted from the presented approach were improved by at most 5% and 10%, respectively. Reconstructed runoffs using neural network models yielded ~0.5% further improvement. The improvement was largely a function of the reduced discrepancy during dry and wet seasons. The best forecasted runoff obtained from the basin-upstream standardized precipitation index, yielded the lowest normalized root-mean-square error of 0.093.
3

Gu, Hai Yan, Yong Wang, and Lei Yu. "Runoff Fractal Dimension of Songhua River Basin in Harbin Station Based on Db4 Wavelet." Advanced Materials Research 550-553 (July 2012): 2537–40. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.2537.

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The wavelet analysis and fractal theory into the analysis of hydrological time series, fluctuations in hydrological runoff sequence given the complexity of the measurement methods--- fractal dimension. The real monthly runoffs of 28 years from Songhua River basin in Harbin station are selected as research target. Wavelet transform combined with spectrum method is used to calculate the fractal dimension of runoff. Moreover, the result demonstrates that the runoff in Songhua River basin has the characteristic of self-similarity, and the complexity of runoff in the Songhua River basin in Harbin station is described quantificationally.
4

Kawara, Osami, Manabu Uehara, and Kanako Ibaragi. "A study on the water quality of runoff from forest." Water Science and Technology 39, no. 12 (June 1, 1999): 93–98. http://dx.doi.org/10.2166/wst.1999.0534.

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The important non-point sources in Japan are urban areas, rice paddy fields and forest. The forest area in river basins occupies about 70 per cent. Furthermore, Japanese forest is usually on steep mountains. Therefore, pollutant loads from the forest cannot be ignored in Japan. In this study, we discuss the seasonal variations of water quality of runoff from forest, and of component runoffs, inter-surface runoff and groundwater runoff, based on observations and on the results separated by a numerical filter. The seasonal variations of water quality and four types of relations between water quality and flow rates of component runoffs were noted.
5

Xiao, Ziwei, Peng Shi, Peng Jiang, Jianwei Hu, Simin Qu, Xingyu Chen, Yingbing Chen, Yunqiu Dai, and Jianjin Wang. "The Spatiotemporal Variations of Runoff in the Yangtze River Basin under Climate Change." Advances in Meteorology 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/5903451.

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A better understanding of the runoff variations contributes to a better utilization of water resources and water conservancy planning. In this paper, we analyzed the runoff changes in the Yangtze River Basin (YRB) including the spatiotemporal characteristics of intra-annual variation, the trend, the mutation point, and the period of annual runoff using various statistical methods. We also investigated how changes in the precipitation and temperature could impact on runoff. We found that the intra-annual runoff shows a decreasing trend from 1954 to 2008 and from upper stream to lower stream. On the annual runoff sequence, the upstream runoff has a high consistency and shows an increasing diversity from upper stream to lower stream. The mutation points of the annual runoff in the YRB are years 1961 and 2004. Annual runoff presents multitime scales for dry and abundance changes. Hurst values show that the runoffs at the main control stations all have Hurst phenomenon (the persistence of annual runoff). The sensitivity analyses of runoff variation to precipitation and temperature were also conducted. Our results show that the response of runoff to precipitation is more sensitive than that to temperature. The response of runoff to temperature is only one-third of the response to precipitation. A decrease in temperature may offset the impact of decreasing rainfall on runoff, while an increase in both rainfall and temperature leads to strongest runoff variations in the YRB.
6

Ren, Liliang, Xiaofan Liu, Fei Yuan, Jing Xu, and Wei Liu. "Quantitative analysis of runoff reduction in the Laohahe basin." Hydrology Research 43, no. 1-2 (February 1, 2012): 38–47. http://dx.doi.org/10.2166/nh.2011.135.

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In order to determine the reason for runoff reduction, daily natural runoff series were restored using a conceptual rainfall–runoff model. The period of 1970–1979 was regarded as a base period with little human activity; model parameters for each subcatchment within the Laohahe basin were calibrated for this period. The effects of human activity and climate change on runoff were quantified by comparing the observed runoff and the natural runoff simulated by the hydrological model. The results show that the observed annual mean runoffs in the 1980s and especially in the 2000s are smaller than those of the 1970s. Although runoff reduction in the 1980s and 2000s is mainly caused by climate change, human activity also plays an important role on the runoff reduction. Taking the 2000 as an example, human activity and climate change are responsible for 45.6 and 54.4% of the runoff reduction in Laohahe basin, respectively. The effect of human activity on runoff reduction in the Laohahe basin is increasingly intensive from the 1980s to the 2000s. Human activity in the Dianzi catchment has the most drastic effect within the Laohahe basin.
7

Lv, Meizhao, Hui Lu, Kun Yang, Zhongfeng Xu, Meixia Lv, and Xiaomeng Huang. "Assessment of Runoff Components Simulated by GLDAS against UNH–GRDC Dataset at Global and Hemispheric Scales." Water 10, no. 8 (July 24, 2018): 969. http://dx.doi.org/10.3390/w10080969.

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The current evaluations of global land data assimilation system (GLDAS) runoff were generally limited to the observation-rich areas. At the global and hemispheric scales, we assessed different runoff components performance of GLDAS (1.0 and 2.1) using the University of New Hampshire and Global Runoff Data Centre (UNH-GRDC) dataset. The results suggest that GLDAS simulations show considerable uncertainties, particularly in partition of surface and subsurface runoffs, in snowmelt runoff modeling, and in capturing the northern peak time. GLDAS1.0-CLM (common land model) produced more surface runoff almost globally; GLDAS-Noah generated more surface runoff over the northern middle-high latitudes and more subsurface runoff in the remaining areas; while the partition in GLDAS1.0-VIC (variable infiltration capacity) is almost opposite to that in Noah. Comparing to GLDAS1.0-Noah, GLDAS2.1-Noah improved the premature snow-melting tendency, but its snowmelt-runoff peak magnitude was excessively high in June and July. The discrepancies in northern primary peak times among precipitation and runoff is partly caused by the combination of rainfall and melting-snow over high-latitude, as well as the very different temporal–spatial distributions for snowmelt runoff simulated by GLDAS models. This paper can provide valuable guidance for GLDAS users, and contribute to the further improvement of hydrological parameterized schemes.
8

Kirvel, Ivan, Alexander Volchak, Sergey Parfomuk, and Pavel Kirvel. "Environmental Risks of Water Resources in the Belarusian Polesie." Limnological Review 23, no. 1 (May 1, 2023): 21–32. http://dx.doi.org/10.3390/limnolrev23010002.

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The article is devoted to the problems of water resources in Belarusian Polesie. Surface water resources analysis was carried out for the different types of runoffs. There was a significant decrease in maximum spring runoff and a decrease in the average annual runoff. A statistically significant increase in the minimum winter runoff is observed for the rivers of the Pripyat River basin. For the minimum summer–autumn runoff, there was no unambiguous trend in the runoff change. Quality of natural waters analysis included investigation of the annual concentrations of priority substances in the water of some rivers in Polesie for dissolved oxygen, phosphates, nitrogen, petroleum products, copper, zinc, etc. In general, there have been trends toward a pollution decrease in the Polesie Rivers. The possible consequences of changes in river runoff due to climate change are considered. The priority tasks of research on solving the Polesie water problems are outlined.
9

Adham, M. I., S. M. Shirazi, F. Othman, S. Rahman, Z. Yusop, and Z. Ismail. "Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique." Scientific World Journal 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/379763.

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Runoff potentiality of a watershed was assessed based on identifying curve number (CN), soil conservation service (SCS), and functional data analysis (FDA) techniques. Daily discrete rainfall data were collected from weather stations in the study area and analyzed through lowess method for smoothing curve. As runoff data represents a periodic pattern in each watershed, Fourier series was introduced to fit the smooth curve of eight watersheds. Seven terms of Fourier series were introduced for the watersheds 5 and 8, while 8 terms of Fourier series were used for the rest of the watersheds for the best fit of data. Bootstrapping smooth curve analysis reveals that watersheds 1, 2, 3, 6, 7, and 8 are with monthly mean runoffs of 29, 24, 22, 23, 26, and 27 mm, respectively, and these watersheds would likely contribute to surface runoff in the study area. The purpose of this study was to transform runoff data into a smooth curve for representing the surface runoff pattern and mean runoff of each watershed through statistical method. This study provides information of runoff potentiality of each watershed and also provides input data for hydrological modeling.
10

Hu, Shanshan, Yunyun Fan, and Tao Zhang. "Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing." Land 9, no. 1 (January 10, 2020): 17. http://dx.doi.org/10.3390/land9010017.

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The change in land use during the process of urbanization affects surface runoff and increases flood risk in big cities. This study investigated the impact of land use change on surface runoff in Beijing’s central area during the period of rapid urbanization from 1984 to 2019. Land use maps of 1984, 1999, 2009, and 2019 were generated by image classification of Landsat images. Surface runoffs were calculated with the Soil Conservation Service curve number (SCS-CN) model. Correlation analysis was used to identify the dominant factor of land use change affecting surface runoff. The result showed that the variation trend of surface runoff was consistent with the trend of impervious land in Beijing’s central area, which increased during 1984~2009 and decreased during 2009~2019. Correlation analysis showed that changes in surface runoff were most strongly correlated with changes in impervious surfaces when compared with the correlation of runoff with other types of land use. The results of this study may provide a reference for city flood control and urban planning in fast growing cities worldwide, especially in developing countries.
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Статті в журналах Дисертації Книги

Дисертації з теми "Runoff":

1

Grabau, Matthew R., Richard H. Hawkins, Kevin E. Verweire, and Donald C. Slack. "Variety of Antecedent Runoff Conditions for Rainfall-Runoff with the Curve Number Method." Arizona-Nevada Academy of Science, 2009. http://hdl.handle.net/10150/296695.

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2

Vonck, Kevin J. "Towards more sustainable urban surface drainage a comparative case study of impervious cover policies in Portland, Oregon, and Seattle, Washington /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 247 p, 2009. http://proquest.umi.com/pqdweb?did=1833647401&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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3

Nelson, Stephen Swanson. "Performance evaluation of cold weather infiltration facilities." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Thesis/Summer2006/s_nelson_082906.pdf.

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4

Kary, Daniel James. "Residential Development and Stormwater Runoff." Fogler Library, University of Maine, 2011. http://www.library.umaine.edu/theses/pdf/KaryD2011.pdf.

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5

Sullivan, J. H. "Metallic runoff from coated steels." Thesis, Swansea University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639132.

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An investigation was carried out to assess levels of metallic runoff, particularly zinc, from the surface and cut-edges of a variety of commercial coated steels in order to ascertain potential environmental effects in line with the ongoing EU risk assessment into zinc (1995). Zinc runoff was monitored from the surfaces of a range of zinc-coated steels with sealed edges over 19 months at two UK weathering sites. The composition of the zinc coating is crucial in determining materials performance and rainfall levels are critical in determining runoff quantity. Observed zinc runoff levels are generally below the permissible drinking water level for humans but runoff levels in the harshest environment exceed this maximum for some materials during the exposure. A range of organically coated galvanised steels were exposed for 27 months at three UK weathering sites with a large cut-edge length to assess runoff from such edges. Runoff was high in initial months with zinc levels reducing with time due to the build up/action of corrosion products and corrosion inhibitors. Zinc levels were below the permissible drinking water level. Zinc runoff measured over 3 months can more accurately predict long-term organic coating delamination than salt spray and prohesion testing. Accelerated laboratory tests using a distilled water electrolyte were developed that predict long-term external weathering runoff from panels of a range of coated steels. The angle of panel, electrolyte flow rate and wet/dry cycles affect the runoff levels of such tests. The corrosion mechanisms of a variety of zinc-coated steels have been examined using the scanning vibrating electrode technique (SVET) in 0.1%NaCl. The corrosion behaviour of a coating is related to its structure and composition. The SVET has been used to assess total zinc loss from coatings during corrosion and has been confirmed using ICP-MS analysis. The predicted zinc losses from the SVET were used to model up to 12 months external weathering behaviour for the zinc-coated steels.
6

Morrison, Gregory Mark. "Metal speciation in urban runoff." Thesis, Middlesex University, 1985. http://eprints.mdx.ac.uk/6559/.

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A literature review has identified free and weakly complexed dissolved as well as solid surface associated, metal species as those forms most likely to be bio available. To analyse bio available Zn, Cd, Pb and Cu fractions in urban runoff a speciation scheme was devised which provided a relatively rapid technique for separating the dissolved and suspended solid phases of storm water into appropriate fractions. A new method, termed Dialysis with Receiving Resins, which responds to bio available metal species by incorporating a specially developed cysteine resin, within a dialysis membrane, has been devised and tested, A small scale gullypot study allowed the identification of six major processes which affect metal mobilisation and transport. The relevance of these processes is discussed with reference to gullypot outflow loadings of the different metal fractions. Acid rain mobilisation was found to greatly increase the levels of bio available free and weakly complexed metal fractions. Mass balance studies showed that Zn, Cd and Cu have a residence time in the road surface/gullypot system of little more than one storm event whereas Pb tends to be more persistent due to its predominant association with the solid phase. The speciation scheme was also applied to the analysis of metal fractions in storm water outfall samples collected from urban catchments in Sweden and the U.K. Significant concentrations and loadings of metals were found for both catchments with, on average, bio available metal forms representing 68% of the Zn, 76% of the Cd, 66% of the Pb and 32% of the Cu. Individual metal species were found to load at different rates onto metal chemographs and can be explained in terms of controlling parameters, as well as the influence of mobilisation and transport processes. Cadmium and Cu concentrations in storm water were regularly found to exceed Water Quality Standards and also to accumulate to significant levels in the Dialysis with Receiving Resins method. These metals may therefore represent a direct threat to receiving water quality.
7

Wang, H. "Precipitation-runoff relationships for palaeohydrology." Thesis, University of Southampton, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382996.

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8

Riverso, Carlo. "Calibration of rainfall-runoff models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2619/.

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9

Dean, Kyla. "Phosphorus runoff to Clear Creek." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/943.

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Phosphorus is a nutrient crucial to row crop production, but phosphorus runoff from fields to nearby surface waters is a persistent problem that threatens the quality of rivers and streams. This is especially true for Iowa with its abundance of agricultural practices. In order to better understand the phosphorus dynamics of a watershed with agricultural land use, Clear Creek in Iowa was studied. Total, dissolved, and suspended reactive phosphorus concentrations were measured and mass fluxes were calculated. Through this research it was determined that most of the mass of phosphorus in Clear Creek is transferred during high flow events and is attached to solids. The headwaters area of this stream was found to be a major source of phosphorus due to the abundance of row crops and steeply sloped land.
10

Abushandi, Eyad. "Rainfall-runoff modeling in arid areas." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2011. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-68530.

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The Wadi Dhuliel catchment/ North east Jordan, as any other arid area has distinctive hydrological features with limited water resources. The hydrological regime is characterized by high variability of temporal and spatial rainfall distributions, flash floods, absence of base flow, and high rates of evapotranspiration. The aim of this Ph.D. thesis was to apply lumped and distributed models to simulate stream flow in the Wadi Dhuliel arid catchment. Intensive research was done to estimate the spatial and temporal rainfall distributions using remote sensing. Because most rainfall-runoff models were undertaken for other climatic zones, an attempt was made to study limitations and challenges and improve rainfall-runoff modeling in arid areas in general and for the Wadi Dhuliel in particular. The thesis is divided into three hierarchically ordered research topics. In the first part and research paper, the metric conceptual IHACRES model was applied to daily and storm events time scales, including data from 19 runoff events during the period 1986-1992. The IHACRES model was extended for snowfall in order to cope with such extreme events. The performance of the IHACRES model on daily data was rather poor while the performance on the storm events scale shows a good agreement between observed and simulated streamflow. The modeled outputs were expected to be sensitive when the observed flood was relatively small. The optimum parameter values were influenced by the length of a time series used for calibration and event specific changes. In the second research paper, the Global Satellite Mapping of Precipitation (GSMaP_MVK+) dataset was used to evaluate the precipitation rates over the Wadi Dhuliel arid catchment for the period from January 2003 to March 2008. Due to the scarcity of the ground rain gauge network, the detailed structure of the rainfall distribution was inadequate, so an independent from interpolation techniques was used. Three meteorological stations and six rain gauges were used to adjust and compare with GSMaP_MVK+ estimates. Comparisons between GSMaP_MVK+ measurements and ground rain gauge records show distinct regions of correlation, as well as areas where GSMaP_MVK+ systematically over- and underestimated ground rain gauge records. A multiple linear regression (MLR) model was used to derive the relationship between rainfall and GSMaP_MVK+ in conjunction with temperature, relative humidity, and wind speed. The MLR equations were defined for the three meteorological stations. The ‘best’ fit of the MLR model for each station was chosen and used to interpolate a multiscale temporal and spatial distribution. Results show that the rainfall distribution over the Wadi Dhuliel is characterized by clear west-east and north-south gradients. Estimates from the monthly MLR model were more reliable than estimates obtained using daily data. The adjusted GSMaP_MVK+ dataset performed well in capturing the spatial patterns of the rainfall at monthly and annual time scales, while daily estimation showed some weakness for light and moderate storms. In the third research paper, the HEC-HMS and IHACRES rainfall runoff models were applied to simulate a single streamflow event in the Wadi Dhuliel catchment that occurred in 30-31.01.2008. Both models are considered suitable for arid conditions. The HEC-HMS model application was done in conjunction with the HEC-GeoHMS extension in ArcView 3.3. Streamflow estimation was performed on hourly data. The aim of this study was to develop a new framework of rainfall-runoff model applications in arid catchment by integrating a re-adjusted satellite derived rainfall dataset (GSMaP_MVK+) to determine the location of the rainfall storm. Each model has its own input data sets. HEC-HMS input data include soil type, land use/land cover map, and slope map. IHACRES input data sets include hourly rainfall and temperature. The model was calibrated and validated using observed stream flow data collected from Al-Za’atari discharge station. IHACRES shows some weaknesses, while the flow comparison between the calibrated streamflow results agrees well with the observed streamflow data of the HEC-HMS model. The Nash-Sutcliffe efficiency (Ef) for both models was 0.51, and 0.88 respectively. The application of HEC-HMS model in this study is considered to be satisfactory.
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Книги з теми "Runoff":

1

Manning, Tom. Runoff. Richmond, Va: Oddgod Press, 2003.

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2

John, Barton. Runoff: Poems. Ottawa: Viola Leaflets, 2003.

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3

1957-, Barton John. Runoff: Poems. Ottawa, ON: Viola Leaflets, 2003.

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4

Beven, Keith. Rainfall-Runoff Modelling. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119951001.

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5

Torno, Harry C., Jiri Marsalek, and Michel Desbordes, eds. Urban Runoff Pollution. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70889-3.

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6

United States. Environmental Protection Agency. Office of Water. Managing urban runoff. Washington, D.C.]: U.S. Environmental Protection Agency, [Office of Water, 1996.

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7

Loague, Keith M. Rainfall-runoff modelling. Wallingford, UK: IAHS Press, 2010.

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8

C, Torno Harry, Marsalek J. 1940-, Desbordes Michel 1943-, NATO Advanced Research Workshop on "Urban Runoff Pollution", and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Urban runoff pollution. Berlin: Springer-Verlag, 1986.

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9

American Society of Civil Engineers. and United States. Army. Corps of Engineers., eds. Flood-runoff analysis. New York, N.Y: ASCE Press, 1997.

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10

Schaap, Bryan D. Water-quality data of stormwater runoff from Davenport, Iowa, 1992 and 1994. Iowa City, Iowa: U.S. Geological Survey, 1996.

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Частини книг з теми "Runoff":

1

Engman, E. T., and R. J. Gurney. "Runoff." In Remote Sensing in Hydrology, 103–26. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-0407-1_6.

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2

Yoo, Kyung H., and Claude E. Boyd. "Runoff." In Hydrology and Water Supply for Pond Aquaculture, 92–120. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2640-7_5.

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Leppla, Norman C., Bastiaan M. Drees, Allan T. Showler, John L. Capinera, Jorge E. Peña, Catharine M. Mannion, F. William Howard, et al. "Runoff." In Encyclopedia of Entomology, 3217. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_3464.

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Davie, Tim, and Nevil Wyndham Quinn. "Runoff." In Fundamentals of Hydrology, 133–56. Third Edition. | New York : Routledge, 2019. | Series: Routledge Fundamentals of Physical Geography series | Previous edition: 2008.: Routledge, 2019. http://dx.doi.org/10.4324/9780203933664-7.

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Samantaray, Sandeep, Abinash Sahoo, and Dillip K. Ghose. "Runoff." In Watershed Management and Applications of AI, 151–70. Title: Watershed management and applications of AI / Sandeep Samantaray, Abinash Sahoo, and Dillip K. Ghose. Description: First edition. | Boca Raton, FL : CRC Press, 2021. | Series: Artificial intelligence (AI) in engineering: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168041-9.

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Davie, Tim, and Nevil Wyndham Quinn. "Runoff." In Fundamentals of Hydrology, 133–56. Third Edition. | New York : Routledge, 2019. | Series: Routledge Fundamentals of Physical Geography series | Previous edition: 2008.: Routledge, 2019. http://dx.doi.org/10.4324/9780203798942-7.

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Roth, Lawrence O., and Harry L. Field. "Water Runoff." In An Introduction to Agricultural Engineering: A Problem-Solving Approach, 211–17. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-1425-7_17.

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Roth, Lawrence O., and Harry L. Field. "Water Runoff." In Introduction to Agricultural Engineering, 211–17. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3594-2_17.

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Field, Harry L., and John M. Long. "Water Runoff." In Introduction to Agricultural Engineering Technology, 269–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69679-9_17.

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Ben-Asher, J., and P. R. Berliner. "Runoff Irrigation." In Advanced Series in Agricultural Sciences, 126–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78562-7_6.

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Тези доповідей конференцій з теми "Runoff":

1

Delemazure, Théo, Jérôme Lang, Jean-François Laslier, and M. Remzi Sanver. "Approval with Runoff." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/33.

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We define a family of runoff rules that work as follows: voters cast approval ballots over candidates; two finalists are selected; and the winner is decided by majority. With approval-type ballots, there are various ways to select the finalists. We leverage known approval-based committee rules and study the obtained runoff rules from an axiomatic point of view. Then we analyze the outcome of these rules on single-peaked profiles, and on real data.
2

Katopodes, Nikolaos D. "Modeling Urban Runoff." In World Water and Environmental Resources Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)300.

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Greer, Randell, and Stephen Wright. "Estimating Annual Runoff Based on the NRCS Runoff Curve Number." In 2011 Low Impact Development Conference. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784413883.013.

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Yu, Byunggu, Pradeep K. Behera, Seon Ho Kim, Juan F. Ramirez Rochac, and Travis Branham. "Environmental urban runoff monitoring." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Masayoshi Tomizuka. SPIE, 2010. http://dx.doi.org/10.1117/12.847308.

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Collins, Kelly A., Dave Hirschman, Greg Hoffmann, and Tom Schueler. "The Runoff Reduction Method." In World Environmental and Water Resources Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41036(342)159.

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Bojilova, Elena. "APPLICABILITY OF RAINFALL-RUNOFF MODELS TO THE CONDTIONS OF RIVER RUNOFF IN BULGARIA." In 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sgem2020/3.1/s12.004.

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Zhou, Min, and Zhibin Qin. "Road Runoff Pollution and Measures." In 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2012. http://dx.doi.org/10.1109/cdciem.2012.149.

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Norman R. Fausey, Barry J. Allred, W. Bruce Clevenger, and Larry C. Brown. "Recycling Runoff and Drainage Water." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13792.

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Morgan, Susan, Ric Cooper, and William Retzlaff. "Nitrate in Green Roof Runoff." In 2011 Low Impact Development Conference. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784413883.011.

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Borst, M., S. D. Struck, S. Muthukrishnan, A. Selvakumar, and T. O'Connor. "Swale Performance for Stormwater Runoff." In Second National Low Impact Development Conference. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41007(331)16.

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Звіти організацій з теми "Runoff":

1

Bouton, Laurent, Jorge Gallego, Aniol Llorente-Saguer, and Rebecca Morton. Runoff Elections in the Laboratory. Cambridge, MA: National Bureau of Economic Research, June 2019. http://dx.doi.org/10.3386/w25949.

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Martin, Torge. Runoff remapping for ocean model forcing. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2021. http://dx.doi.org/10.3289/sw_2_2021.

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A Pyhton-based toolbox to remap daily runoff fields of the JRA55-do reanalysis (Tsujino et al., 2018, https://doi.org/10.1016/j.ocemod.2018.07.002) onto any ocean model grid. Runoff from the original global JRA grid is collected and redistributed to a given model coastline. A particular feature is the optional treatment of river mouths: runoff from grid nodes, which is of exceptionally large magnitude after the basic remapping, can be radially spread to ocean nodes farther offshore. The scripts were tested successfully for NEMO ocean model configurations of various resolution (global grids ORCA025 and ORC05 as well as regional nests VIKING10, ORION10, VIKING20X and INALT20X) at GEOMAR, Kiel (see Biastoch et al., 2021, https://doi.org/10.5194/os-2021-37 for an application). General instructions are provided for how to process the original JRA runoff files and also for the optional river mouth treatment. The technique is illustrated by examples of the fragmented coast of Greenland and the Amazon river mouth. While the code is versatile, examples are given for an application with the NEMO ocean model.
3

Wagner, Anna, Chandler Engel, David Ho, Jeremy Giovando, Blaine Morriss, and Elias Deeb. Stage frequency analysis from snowmelt runoff near Utqiagvik, Alaska. Engineer Research and Development Center (U.S.), October 2023. http://dx.doi.org/10.21079/11681/47821.

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For the village of Utqiaġvik, located at the North Slope of Alaska, a stone-armored revetment along the coastline is proposed to reduce coastal erosion. The inner drainage capacity of the revetment must be sufficient to handle seasonal runoff from snowmelt. For this effort, we investigated the snowmelt runoff and the hydraulic impact at the watershed outlet using numerical snow and hydraulic modeling of the study area. We validated the snow model results by comparing simulated snow water equivalent (SWE) values to field measurements. Additionally, the snow model was validated using satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) snow-covered area (SCA) products and time-lapse camera imagery during snowmelt. Our results indicate that the simulated SWE and snowmelt dates agree closely with measured values. The timing of modeled runoff onset was less accurate due to natural processes that delay snowmelt runoff such as snow dams and refreeze. The effect of the uncertainty from both runoff timing and volume was addressed with a Monte Carlo simulation of stage-frequency curves for the lagoons that receive snowmelt runoff. These stage-frequency curves can be used directly in the design of outlet, drainage or discharge structures for the proposed revetment.
4

Peters, John C., and Daniel J. Easton. Runoff Simulation Using Radar Rainfall Data. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada316115.

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Eldridge, L. L. A-01 metals in stormwater runoff evaluation. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/565012.

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Ogden, Fred L., and Hatim O. Sharif. Propagation of Radar-Rainfall Uncertainty in Runoff Predictions. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada394770.

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Bridges, Katherine. 50+ Voters and the Georgia Senate Runoff Elections. Washington, DC: AARP Research, December 2020. http://dx.doi.org/10.26419/res.00401.029.

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Affleck, Rosa, Terry Melendy, Amelia Menke, Andrew Bernier, and Charles Smith. Pollutant concentration in runoff at McMurdo Station, Antarctica. Cold Regions Research and Engineering Laboratory (U.S.), April 2018. http://dx.doi.org/10.21079/11681/26625.

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Peters, John C. Application of Rainfall-Runoff Simulation for Flood Forecasting. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada273140.

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Tamis, Jacqueline, and Ruud Jongbloed. MICROPROOF Micropollutants in Road RunOff : Environmental risk assessment. Netherlands: Wageningen Marine Research, 2019. http://dx.doi.org/10.18174/512476.

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