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The Curve Number (CN) method of estimating the direct runoff response to rainfall events was originally developed in the 1950's primarily for agricultural purposes in the mid-western United States. The accuracy of the CN method is greatly affected by variation of the soil type and land use of the region. Curve Numbers developed for a given region are not appropriate for application in other regions. In order to produce reliable, consistent results, Curve Numbers must be calibrated for the area in which the CN method is to be applied. Calibration is ideally accomplished by direct measurement using several rain and stream gauges within a watershed. Gauged data, however, is not always available or easily obtained. A more feasible method of calibration is therefore necessary for broad application of the CN method. The purpose of this study is to develop a method of CN calibration that can be easily applied to regions where no gauged data is available using the United States Geological Survey (USGS) regression equations. In this study, the peak flow values estimated using the regression equations were used in conjunction with a dimensionless hydrograph to compute runoff volume. The National Oceanic and Atmospheric Administration (NOAA) rainfall grids were used to estimate precipitation. Given the rainfall and runoff, a Curve Number can then calibrated through back-calculation. The method of CN calibration using the USGS regression equations was applied to nearly 60 watersheds in the state of Utah for this research. The calibration results obtained using the regression equations were compared to other CN calibrations developed using gauged data. Calibrations performed through the use of the regression equations were quite consistent with calibrations obtained using measured data. To ensure the validity of the application of this method in other regions, more comparisons to results obtained using measured data should be further pursued.

The purpose of this study was to evaluate variations of the Natural Resources Conservation Service (NRCS) curve number (CN) method for estimating near real-time runoff for naturalized flow, using high resolution radar rainfall data for watersheds in various agro-climatic regions of Texas. The CN method is an empirical method for calculating surface runoff which has been tested on various systems over a period of several years. Many of the findings of previous studies indicate the need to develop variations of this method to account for regional and seasonal changes in weather patterns and land cover that might affect runoff. This study seeks to address these issues, as well as the inherent spatial variability of rainfall, in order to develop a means of predicting runoff in near real-time for water resource management. In the past, raingauge networks have provided data for hydrologic models. However, these networks are generally unable to provide data in real-time or capture the spatial variability associated with rainfall. Radar networks, such as the Next Generation Weather Radar (NEXRAD) of the National Weather Service (NWS), which are widely available and continue to improve in quality and resolution, can accomplish these tasks. In general, a statistical comparison of the raingauge and NEXRAD data, where both were available, shows that the radar data is as representative of observed rainfall as raingauge data. In this study, watersheds of mostly homogenous land cover and naturalized flow were used as study areas. Findings indicate that the use of a dry antecedent moisture condition CN value and an initial abstraction (Ia) coefficient of 0.1 produced statistically significant results for eight out of the ten watersheds tested. The urban watershed used in this study produced more significant results with the use of the traditional 0.2 Ia coefficient. The predicted results before and during the growing season, in general, more closely agreed with the observed runoff than those after the growing season. The overall results can be further improved by altering the CN values to account for seasonal vegetation changes, conducting field verification of land cover condition, and using bias-corrected NEXRAD rainfall data.

The purpose of this study was to evaluate variations of the Natural Resources Conservation Service (NRCS) curve number (CN) method for estimating near real-time runoff for naturalized flow, using high resolution radar rainfall data for watersheds in various agro-climatic regions of Texas. The CN method is an empirical method for calculating surface runoff which has been tested on various systems over a period of several years. Many of the findings of previous studies indicate the need to develop variations of this method to account for regional and seasonal changes in weather patterns and land cover that might affect runoff. This study seeks to address these issues, as well as the inherent spatial variability of rainfall, in order to develop a means of predicting runoff in near real-time for water resource management. In the past, raingauge networks have provided data for hydrologic models. However, these networks are generally unable to provide data in real-time or capture the spatial variability associated with rainfall. Radar networks, such as the Next Generation Weather Radar (NEXRAD) of the National Weather Service (NWS), which are widely available and continue to improve in quality and resolution, can accomplish these tasks. In general, a statistical comparison of the raingauge and NEXRAD data, where both were available, shows that the radar data is as representative of observed rainfall as raingauge data. In this study, watersheds of mostly homogenous land cover and naturalized flow were used as study areas. Findings indicate that the use of a dry antecedent moisture condition CN value and an initial abstraction (Ia) coefficient of 0.1 produced statistically significant results for eight out of the ten watersheds tested. The urban watershed used in this study produced more significant results with the use of the traditional 0.2 Ia coefficient. The predicted results before and during the growing season, in general, more closely agreed with the observed runoff than those after the growing season. The overall results can be further improved by altering the CN values to account for seasonal vegetation changes, conducting field verification of land cover condition, and using bias-corrected NEXRAD rainfall data.

Pluvial flood is a natural hazard that severely threatens people’s property and safety. With the development of algorithms and computer technologies, numerical modeling has emerged as an effective tool for predicting the impacts of floods. Despite being one of the most costly types of floods in West Africa, pluvial flooding has not been studied as extensively as riverine flooding, probably because modeling runoff across urban areas remains a challenge. Recently, a module based on the SCS Curve Number Method is incorporated in the open-source software TELEAMC-2D, which provides a possibility to model the infiltration process dynamically. TELEMAC-2D is one of the first hydraulic models to consider hydrologic parameters. Although the update is expected to increase the suitability of TELAMC-2D in pluvial flood modeling, the infiltration routine has not yet been tested in a real situation in a semi-arid area. This study aims to investigate the capability of TELEMAC-2D in simulating the rainfall-runoff process during a pluvial flood event in a semi-arid urban area, Niamey city in west Africa. Due to the lack of calibration data, a hydrological model SWAT is used to evaluate the performance of TELEMAC-2D. Through the comparison between the runoffs generated by the two models, it is found that TELEMAC-2D has a similar trend with SWAT in runoff simulation. However, TELEMAC-2D significantly overestimates the runoff magnitude despite having the same SCS values as SWAT. The reason for the overestimation is TELEMAC-2D that does not properly consider evaporation. Two suggestions are made to improve pluvial floods simulations using TELEMAC-2D in semi-arid areas: 1) couple TELEMAC-2D with a hydrologic model, and use net rainfall generated by the hydrologic model as precipitation input; 2) provide functions in infiltration subroutine that calculate rainfall abstractions by other hydrologic phenomena in addition to the infiltration process.

East Iowa experienced large flooding during June of 2008. This study used Cuencas hydrological model to simulate the discharges of June 2008 at Eldorado and Elkader, in the Turkey River Watershed, in North East Iowa. The results of this study were used to test the performance of Cuencas modeling this flood event and to explore the role of land cover change in the floods of 2008 at Elkader, Iowa. Cuencas was found to be a suitable tool to predict this event, that requires relatively low resources. The total time to run each simulation was around two hours which is reasonable for such large watershed (900 mi2), but a computer cluster was needed to run these simulations. The results from this study suggest that the role of land cover change from pre-settlement to current conditions was significant when using the rainfall conditions of 2008. The discharges simulated at Elkader, Iowa were almost twice as large when using the 2001 land cover, than when using the land cover found during 1832-1859, recorded during the General Land Office (GLO) survey. These results need to be taken only as preliminary results, since there is no data to validate the model at the time of the GLO survey, and since it is the first time that Cuencas is used to model the effects of land cover in Iowa's hydrology. However, the potential large reduction on discharge of the pre-settlement land cover is an incentive to investigate this issue further and continue developing Cuencas to capture the effects of less drastic land cover changes.

In this study, semi-distributed hydrological model studies were carried out with the Mike11 model in Yuvacik dam Basin. The basin with a drainage area of 257.8 km2 is located in 12 km South East of Izmit city in T&uuml / rkiye. The basin is divided into three sub-basins named as Kirazdere, Kazandere and Serindere where each sub-basin is represented by its own characteristics. The largest peaks of inflow were observed when the storm events occur due to both snowmelt and rain. Therefore, observed flows for the period of 2001-2006 were grouped as daily and hourly storm events according to the event types such as rainfall, snowmelt or mixed events. Rainfall- Runoff Model (NAM) module of the model was used for the simulation of daily snowmelt and rain on snow events and Unit Hydrograph Method (UHM) module was used for the simulation of hourly rainfall events. A new methodology is suggested for the determination of Curve Number (CN) of the sub-basins by using the fractional area and topographic index values combined with hourly model simulations. The resulting CN values were used in the UHM module v and the suggested CN approach has been validated with the classical SCS-CN approach with GIS analysis. As a result of the study, the parameters of each sub-basin are calibrated with hourly and daily model simulations. The resulting flows are compared with the observed flows where model efficiency is tested with visual and statistical evaluations. The modeling studies give promising results for the computation of runoff during different seasons of a year.

Traditional mine reclamation often results in highly compacted lands which prohibit tree growth and survival, reduce infiltration rates, and increase runoff. In 2005, six 0.4 ha plots were constructed on the Bent Mountain surface mine in eastern KY by the University of Kentucky in accordance with Forestry Reclamation Approach’s low compaction guidelines. The plots consisted of two replications each of (1) brown weathered sandstone (BROWN), (2) gray unweathered sandstone (GRAY), (3) and a combination of both sandstones and shales (MIXED). The goal of this project was to assess the hydrologic performance on a storm event basis (monitoring years 2012-2013) of the plots. It was hypothesized that the increase in tree growth on the plots, especially in BROWN,would result in storm-based hydrological changes since plot construction. Results showed that no significant differences were found between the 2005-2006 and 2012-2013 monitoring periods for the storm parameters of discharge volume,discharge duration, and curve number. A significant increase was noted for peak discharge, lag time, and response time. No significant differences were found between spoil types in spite of the difference in vegetative cover. Results suggest that placement of spoil has the greatest influence over storm hydrology at this point in time.

This master thesis deals with the influence of temporal distribution of precipitation on hydrological characteristics of the rainfall-runoff process. The practical part of the thesis was carried out on the drainage basin Volšovka. In the theoretical part, the origin, division, and temporal distribution of rainfall is described, as well as surface runoff and some chosen hydrological characteristics of flow-off. Moreover the work deals with hydrological simulation, there is also described in further detail the rainfall-runoff model HEC-HMS, which is furthermore used in the practical part of this thesis. In the practical part, the characteristics of the area of interest is introduced. Next is described the preparation of the rainfall data with the use of DES_RAIN programme, also creation of the digital model of the terrain in the ArcGIS programme and the preparation of hydrological model in HEC-HMS model. In the conclusion of the thesis, the flow capacities of the closure profile of Volšovka were simulated, as well as other particular closure profiles of the catchment area. There were 16 simulations carried out, which were evaluated on the basis of the peak flow capacities and the time of culmination.

nÃo hà / O trabalho apresenta um modelo hidrolÃgico inÃdito para a bacia hidrogrÃfica do rio Granjeiro (BHG), com uma Ãrea de contribuiÃÃo de 18,54 kmÂ, altitude variando de 399 a 953 metros acima do nÃvel do mar, localizada no municÃpio do Crato, regiÃo sul do estado do CearÃ, regiÃo de grande relevÃncia econÃmica no estado, destacando-se o comÃrcio e o turismo. O modelo foi desenvolvido utilizando o software HEC-HMS do Centro de Engenharia HidrolÃgico (CEIWR-HEC), do corpo de engenheiros do exercito dos Estados Unidos da AmÃrica (USACE). A metodologia utilizada foi composta por trÃs partes. A primeira parte tratou de extrair os dados geogrÃficos, fÃsicos e hidrolÃgicos, utilizando modelos digitais de elevaÃÃo, imagens de satÃlites e mapas temÃticos de caracterizaÃÃo territorial do estado do CearÃ, por meio do software ArcGIS e sua extensÃo HEC-GeoHMS, para exportÃ-los para o HEC-HMS. A segunda parte se concentrou na construÃÃo dos hietogramas, utilizando a equaÃÃo de chuva do municÃpio do Crato e o mÃtodo dos blocos alternados. E por fim, na terceira etapa foi simulado o escoamento superficial, provocado por chuvas com vÃrios tempos de retornos, tanto para o cenÃrio atual, quanto para vÃrios cenÃrios fictÃcios da BHG, utilizando o mÃtodo desenvolvido pelo ServiÃo de ConservaÃÃo do Solo (SCS) do Departamento de Agricultura dos Estados Unidos (USDA), conhecido como o modelo SCS. Verificou-se que as Sub-bacias SB4, SB5 e SB9 contribuem com 46% do escoamento total no exutÃrio, alÃm de um crescimento de ocupaÃÃo da BHG em 15%, praticamente dobrarà a probabilidade de cheias no canal do rio Granjeiro, enquanto a diminuiÃÃo desta ocupaÃÃo em 15%, praticamente reduz a possibilidade de cheias no canal do rio Granjeiro pela metade. Contudo, à importante frisar, que o modelo hidrolÃgico apresentado à o primeiro modelo elaborado para a BHG, dando aos gestores municipais do Crato a possibilidade de estudar a construÃÃo de obras hidrÃulicas para contenÃÃo das cheias, alÃm de implementaÃÃo de polÃticas pÃblicas de ocupaÃÃo das Ãreas em contidas na BHG, com o objetivo de reduzir as enchentes ocorridas no canal do rio Granjeiro. / The paper proposes a novel model for hydrological river basin Granjeiro (BHG), with a contribution area of 18.54 kmÂ, altitude ranging 399-953 meters above sea level, located in the county of Crato, southern the state of Cearà of great economic importance in the state, especially trade and tourism. The model was developed using the software HEC-HMS Hydrologic Engineering Center (CEIWR-HEC), the engineer corps of the army of the United States (USACE). The methodology used was composed of three parts. The first part dealt with data extraction geographic, physical and hydrological using digital elevation models, satellite images and thematic maps of territorial characterization of the state of CearÃ, through the ArcGIS software and its extension HEC-GeoHMS to export them for HEC-HMS. The second part focused on building the hietogramas, using the equation of rain Crato and the method of alternating blocks. And finally, the third step was simulated runoff caused by rain several times with returns, both for the current scenario, as for several fictional scenarios BHG, using the method developed by the Soil Conservation Service (SCS) Department of Agriculture (USDA), known as the SCS model. It was found that the sub-basins SB4, SB5 and SB9 contribute 46% of the total flow in river mouth, end an increase in occupancy of BHG 15%, nearly double the likelihood of flooding in the river channel Granjeiro, while this occupation decreased by 15 %, almost reduces the likelihood of flooding in the river channel Granjeiro by half. However, it is important to note that the hydrological model presented is the first model designed for BHG, giving municipal managers Crato the possibility to study the construction of hydraulic containment of floods, as well as implementation of policies of occupation of areas contained in BHG, with the goal of reducing the flooding that occurred in the river channel Granjeiro.