Download A Remote Sensing Technique For Estimating Watershed Runoff full books in PDF, epub, and Kindle. Read online free A Remote Sensing Technique For Estimating Watershed Runoff ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Olin Mintzer |
| Publisher | : |
| Total Pages | : 76 |
| Release | : 1980 |
| Genre | : Remote sensing |
| ISBN | : |
| Author | : Jerry Don Walker |
| Publisher | : |
| Total Pages | : 72 |
| Release | : 1978 |
| Genre | : Runoff |
| ISBN | : |
| Author | : Rupesh Jayaram Patil |
| Publisher | : Springer |
| Total Pages | : 96 |
| Release | : 2018-02-06 |
| Genre | : Science |
| ISBN | : 3319742868 |
This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.
| Author | : Muluken Eyayu Muche |
| Publisher | : |
| Total Pages | : |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
The Soil Conservation Service-Curve Number (SCS-CN) method is widely used to estimate direct runoff from rainfall events; however, the method does not account for the dynamic rainfall-runoff relationship. This study used back-calculated curve numbers (CNs) and Normalized Difference Vegetation Index (NDVI) to develop NDVI-based CNs (CN[subscript]NDV) using four small northeastern Kansas grassland watersheds with average areas of 1 km2 and twelve years (2001- 012) of daily precipitation and runoff data. Analysis indicated that the CN[subscript]NDVI model improved runoff predictions compared to the SCS-CN method. The CN[subscript]NDVI also showed greater variability in CNs, especially during growing season, thereby increasing the model ability to estimate relatively accurate runoff from rainfall events since most rainfall occurs during the growing season. The CN[subscript]NDVI model was applied to small, disturbed grassland watersheds to assess the model ability to detect land cover change impact for military maneuver damage and large, diverse land use/cover watersheds to assess the impact of scaling up the model. CN[subscript]NDVI application was assessed using a paired watershed study at Fort Riley, Kansas. Paired watersheds were identified through k-means and hierarchical-agglomerative clustering techniques. At the large watershed scale, Daymet precipitation was used to estimate runoff, which was compared to direct runoff extracted from stream flow at gauging points for Chapman (grassland dominated) and Upper Delaware (agriculture dominated) watersheds. In large, diverse watersheds, CN[subscript]NDVI performed better in moderate and overall flow years. Overall, CN[subscript]NDVI more accurately simulated runoff compared to SCS-CN results: The calibrated model increased by 0.91 for every unit increase in observed flow (r = 0.83), while standard CN-based flow increased by 0.506 for every unit increase in observed flow (r = 0.404). Therefore, CN[subscript]NDVI could help identify land use/cover changes and disturbances and spatiotemporal changes in runoff at various scales. CN[subscript]NDVI could also be used to accurately estimate runoff from precipitation events in order to instigate more timely land management decisions.
| Author | : Bellie Sivakumar |
| Publisher | : World Scientific |
| Total Pages | : 542 |
| Release | : 2010-08-10 |
| Genre | : Science |
| ISBN | : 9814464759 |
This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.
| Author | : Qihao Weng |
| Publisher | : John Wiley & Sons |
| Total Pages | : 338 |
| Release | : 2019-10-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1119307333 |
An authoritative guide to the essential techniques and most recent advances in urban remote sensing Techniques and Methods in Urban Remote Sensing offers a comprehensive guide to the recent theories, methods, techniques, and applications in urban remote sensing. Written by a noted expert on the subject, this book explores the requirements for mapping impervious surfaces and examines the issue of scale. The book covers a range of topics and includes illustrative examples of commonly used methods for estimating and mapping urban impervious surfaces, explains how to determine urban thermal landscape and surface energy balance, and offers information on impacts of urbanization on land surface temperature, water quality, and environmental health. Techniques and Methods in Urban Remote Sensing brings together in one volume the latest opportunities for combining ever-increasing computational power, more plentiful and capable data, and more advanced algorithms. This allows the technologies of remote sensing and GIS to become mature and to gain wider and better applications in environments, ecosystems, resources, geosciences, geography and urban studies. This important book: Contains a comprehensive resource to the latest developments in urban remote sensing Explains urban heat islands modeling and analysis Includes information on estimating urban surface energy fluxes Offers a guide to generating data on land surface temperature Written for professionals and students of environmental, ecological, civic and urban studies, Techniques and Methods in Urban Remote Sensing meets the demand for an updated resource that addresses the recent advances urban remote sensing.
| Author | : |
| Publisher | : |
| Total Pages | : 1064 |
| Release | : 1988 |
| Genre | : Hydrology |
| ISBN | : |
| Author | : Adam M. Milewski |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2008 |
| Genre | : Arid regions climate |
| ISBN | : |
Efforts to understand and to quantify the interplay between precipitation, runoff, and recharge are often hampered by the paucity of appropriate monitoring systems. We developed methodologies for rainfall-runoff and groundwater recharge computations that heavily rely on observations extracted from a wide-range of global remote sensing data sets (TRMM, SSM/I, AVHRR, and AMSR-E,) using the arid Sinai Peninsula (SP; area: 61,000 km2) and the Eastern Desert (ED; area: 220,000 km2) of Egypt as our test sites. A two-fold exercise was conducted. Temporal remote sensing data (TRMM, AVHRR and AMSR-E) were extracted from global data sets over the test sites using RESDEM, the Remote Sensing Data Extraction Model, and were then used to identify and to verify precipitation events from 1998-2006. This was accomplished by using an automated cloud detection technique to identify the presence of clouds during the identified precipitation events, and by examining changes in soil moisture (extracted from AMSR-E data) following the identification of clouds. A catchment-based, continuous, semi-distributed hydrologic model (Soil Water and Assessment Tool model; SWAT) was calibrated against observed runoff values from Wadi Girafi Watershed (area: 3350 km2) and then used to provide a continuous simulation (1998-2006) of the overland flow, channel flow, transmission losses, evaporation, evapo-transpiration, and groundwater recharge for the major (area>̲ 2000 km2) watersheds in the SP and the ED covering 48% and 51% of the total areas, respectively. For the investigated watersheds in the SP, the average annual runoff, and average annual recharge through transmission losses were found to be: 80.5 x 106m3 (10.3% total precipitation (TP)) and 87.3 x 106m3 (11.2% TP), respectively, whereas in the ED these values are: 17.5 x 106m3 (4.1% TP) and 86.1 x 106m3 (20.1% TP), respectively. Results demonstrate the enhanced opportunities for groundwater development in the SP (compared to the ED) and highlight the potential for similar applications in arid areas elsewhere. The adopted approach is not a substitute for traditional methodologies that rely on extensive datasets from rain gauge and stream flow networks, but rather a tool for providing first order estimates for rainfall, runoff, and recharge over large sectors of the world.
| Author | : Pratibha Katara |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 96 |
| Release | : 2013 |
| Genre | : Geographic information systems |
| ISBN | : 9783659364495 |
The study aimed at estimating runoff and sediment yield by using remote sensing and GIS techniques in catchment. Thematic layers of soil, topographic elevation, slope, land use/land cover (LULC) were generated in GIS platform by using existing soil map, SRTM DEM, and IRS-P4 satellite imagery. The GIS-based soil map was used to develop hydrologic soil group (HSG) map of the study area. HSG and LULC maps were used to generate curve number (CN) map in the GIS environment. Weighted CN value under antecedent moisture condition (AMC) type I, II and III for catchment was computed based on the GIS-based CN map, which were used to compute annual surface runoff. Furthermore, GIS-based maps of six USLE model factors, R, K, L, S, C and P, were generated. Raster maps of the six USLE factors were multiplied to estimate sediment yield on pixel basis.
| Author | : Vijay P Singh |
| Publisher | : Springer |
| Total Pages | : 718 |
| Release | : 2018-01-19 |
| Genre | : Science |
| ISBN | : 9811058016 |
This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.
