Relevant bibliographies by topics / Strahler stream order

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Academic literature on the topic 'Strahler stream order'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Strahler stream order"

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Wang, Yichu, Jinren Ni, Yao Yue, et al. "Solving the mystery of vanishing rivers in China." National Science Review 6, no. 6 (2019): 1239–46. http://dx.doi.org/10.1093/nsr/nwz022.

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Abstract A major controversy was sparked worldwide by a recent national water census claiming that the number of Chinese rivers with watersheds ≥100 km2 was less than half the previous estimate of 50 000 rivers, which also stimulates debates on the potential causes and consequences. Here, we estimated the number of rivers in terms of stream-segmentation characteristics described by Horton, Strahler and Shreve stream-order rules, as well as their mixed mode for named rivers recorded in the Encyclopedia of Rivers and Lakes in China. As a result, the number of ‘vanishing rivers’ has been found to be highly relevant to statistical specifications in addition to the erroneous inclusion of pseudo-rivers primarily generated in arid or frost-thaw areas. The modified Horton stream-order scheme reasonably depicts the configuration of complete natural streams from headwater to destination, while the Strahler largely projects the fragmentation of the named river networks associated with human aggregation to the hierarchical river systems.
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Hughes, Robert M., Philip R. Kaufmann, and Marc H. Weber. "National and regional comparisons between Strahler order and stream size." Journal of the North American Benthological Society 30, no. 1 (2011): 103–21. http://dx.doi.org/10.1899/09-174.1.

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Lanfear, Kenneth J. "A FAST ALGORITHM FOR AUTOMATICALLY COMPUTING STRAHLER STREAM ORDER 1." JAWRA Journal of the American Water Resources Association 26, no. 6 (1990): 977–81. http://dx.doi.org/10.1111/j.1752-1688.1990.tb01432.x.

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Guth, P. L. "Geomorphometry of drainage basins: a global view from the Shuttle Radar Topography Mission." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 1929–49. http://dx.doi.org/10.5194/hessd-8-1929-2011.

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Abstract. A suite of 42 geomorphometric parameters for each of 26 272 drainage basins larger than 100 km2 from the Hydrosheds Shuttle Radar Topography digital elevation model shows the global distribution of Strahler order for streams and drainage basins; the largest basins are order 9. Many common parameters depend both on the size of the basin, and the scale of the digital elevation model used for the computations. These drainage basins display the typical longitudinal stream profiles, but the major basins tend to be more convex than the smaller basins.
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Guth, P. L. "Drainage basin morphometry: a global snapshot from the shuttle radar topography mission." Hydrology and Earth System Sciences 15, no. 7 (2011): 2091–99. http://dx.doi.org/10.5194/hess-15-2091-2011.

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Abstract. A suite of 42 morphometric parameters for each of 26 272 drainage basins larger than 100 km2 from the Hydrosheds Shuttle Radar Topography digital elevation model shows the global distribution of Strahler order for streams and drainage basins. At the scale of 15 arc s spacing (232 to 464 m) the largest basins are order 9. Many common parameters depend both on the size of the basin, and the scale of the digital elevation model used for the computations. These drainage basins display the typical longitudinal stream profiles, but the major basins tend to be generally more concave than the smaller basins.
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Prepas, Ellie E., Gordon Putz, Daniel W. Smith, Janice M. Burke, and J. Douglas MacDonald. "The FORWARD Project: Objectives, framework and initial integration into a Detailed Forest Management Plan in Alberta." Forestry Chronicle 84, no. 3 (2008): 330–37. http://dx.doi.org/10.5558/tfc84330-3.

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The Forest Watershed and Riparian Disturbance (FORWARD) project input into the Millar Western Forest Products Ltd. Detailed Forest Management Plan consists of three main components: 1) watershed and stream layer maps and associated datasets; 2) soil and wetland layer maps and associated datasets; and 3) a lookup table that permits planners to determine runoff coefficients (the variable selected for hydrological modelling) for functional first order watersheds, based upon various site factors and time since disturbance. The watershed and stream layer component includes a hydrological network, a Digital Elevation Model, and Strahler classified streams and watersheds for functional first and third order watersheds in the entire Millar Western Forest Management Agreement area. Relatively coarse mineral soils (which drain quickly) and wetlands (which retain water) were the key features that needed to be identified for the FORWARD modelling effort; therefore, the soil and wetland layers represent a combined soil texture and wetland coverage. The runoff coefficient lookup table integrates predictions of hydrologic impacts of harvest into planning. Key words: forest management, watershed, hydrology, stream, soils, wetlands, modelling
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Turner, Peter A., Timothy J. Griffis, Xuhui Lee, John M. Baker, Rodney T. Venterea, and Jeffrey D. Wood. "Indirect nitrous oxide emissions from streams within the US Corn Belt scale with stream order." Proceedings of the National Academy of Sciences 112, no. 32 (2015): 9839–43. http://dx.doi.org/10.1073/pnas.1503598112.

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N2O is an important greenhouse gas and the primary stratospheric ozone depleting substance. Its deleterious effects on the environment have prompted appeals to regulate emissions from agriculture, which represents the primary anthropogenic source in the global N2O budget. Successful implementation of mitigation strategies requires robust bottom-up inventories that are based on emission factors (EFs), simulation models, or a combination of the two. Top-down emission estimates, based on tall-tower and aircraft observations, indicate that bottom-up inventories severely underestimate regional and continental scale N2O emissions, implying that EFs may be biased low. Here, we measured N2O emissions from streams within the US Corn Belt using a chamber-based approach and analyzed the data as a function of Strahler stream order (S). N2O fluxes from headwater streams often exceeded 29 nmol N2O-N m−2⋅s−1 and decreased exponentially as a function of S. This relation was used to scale up riverine emissions and to assess the differences between bottom-up and top-down emission inventories at the local to regional scale. We found that the Intergovernmental Panel on Climate Change (IPCC) indirect EF for rivers (EF5r) is underestimated up to ninefold in southern Minnesota, which translates to a total tier 1 agricultural underestimation of N2O emissions by 40%. We show that accounting for zero-order streams as potential N2O hotspots can more than double the agricultural budget. Applying the same analysis to the US Corn Belt demonstrates that the IPCC EF5r underestimation explains the large differences observed between top-down and bottom-up emission estimates.
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Gleyzer, Alexander, Michael Denisyuk, Alon Rimmer, and Yigal Salingar. "A FAST RECURSIVE GIS ALGORITHM FOR COMPUTING STRAHLER STREAM ORDER IN BRAIDED AND NONBRAIDED NETWORKS." Journal of the American Water Resources Association 40, no. 4 (2004): 937–46. http://dx.doi.org/10.1111/j.1752-1688.2004.tb01057.x.

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Mallmann, P., A. Montibeller, F. Hino, et al. "DATA MINING APPLIED FOR DETERMINING STREAM FLOW PERMANENCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 131–35. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-131-2020.

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Abstract. Streamflow permanence is an aspect of great legal importance in Brazil, because streams, depending on their flow regime, are protected or not by law. Various methods, from field methods to computational methods, are used to determine the flow regime of streams, however some are too time spending and computational methods usually need gaging information as input. Furthermore, computational methods used to extract drainage networks do not identify the flow regimes of streams, and modelled drainage networks always need to be refined manually, as some authors indicate that up to 55% of modelled drainage length is ephemeral in some cases. This work proposes a semi-automatic computational method to determine the flow regime of first order streams, which uses 11 morphometric attributes of the mini drainage basins of these streams to develop a classification model using decision tree algorithms. WEKA package was used to perform the data mining process, which resulted on the development of a compact 8 node decision tree. Ten-fold stratified cross-validation was used to validate the model, which obtained an accuracy rate of 70%. The drainage network of the study area extracted with the classical approach was refined after the result of the classification was obtained. Quantitative analysis of channel length by Strahler order shows an overall reduction of 25% in channel length after refinement was undertaken, and for 1st order streams, as much as 31% were classified as ephemeral. Modelling the drainage areas of headwater streams represents a new approach to determining stream flow permanence, and inclusion of new attributes in the model may yield better results in future research.
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Remmel, Tarmo K., Kenton W. Todd, and James Buttle. "A comparison of existing surficial hydrological data layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM." Forestry Chronicle 84, no. 6 (2008): 850–65. http://dx.doi.org/10.5558/tfc84850-6.

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The current provincial-extent digital elevation model (DEM) and corresponding hydrological maps for Ontario have been produced using traditional photogrammetry and aerial photograph interpretation. This process is labour-intensive and requires visual interpretation of stereo image pairs. The ground surface and small hydrological features may be inaccurately delineated in areas where vegetation is dense or the ground is otherwise shielded from aerial view. In an effort to improve and automate delineation of hydrological features, we examined the behaviour and final products of the D8 flowrouting algorithm in 2 software environments (TAS and TauDEM for ArcGIS) operating on a high spatial resolution DEM derived using canopy-penetrating light detection and ranging (LiDAR) technology in a pilot study in the Romeo Malette Forest (41.25°N, 81.50°W). Filtered LiDAR data points (5-m spacing) were interpolated using IDW, TIN, and splines, each resulting in a 2.5-m spatial resolution DEM. Results demonstrate improved realism in the characterization of surficial hydrology by LIDAR derived products as compared to applying identical algorithms on existing coarser provincial data. Benefits include the ability to represent streams of lower Strahler order to define crisp watershed boundaries, and the more accurate identification of local depressions that form potentially wet sites. This approach identifies wet sites that should be avoided during forest operations (e.g., skidder traffic) and can provide additional information for trail layout, road planning, and water crossings. By increasing the number of uses of LiDAR, the capital investment in these data becomes increasingly palatable for forest companies interested in obtaining detailed plans of their forest holdings. Key words: LiDAR, DEM, OBM, spatial resolution, interpolation, Strahler stream order, flow routing, topographic wetness
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Dissertations / Theses on the topic "Strahler stream order"

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Malafaia, Filho Márcio. "Análise hidrográfica avaliando rede de drenagem brasileira: implicações limnológicas." Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/5801.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-09-20T18:27:17Z No. of bitstreams: 1 marciomalafaiafilho.pdf: 3174349 bytes, checksum: be5afdfc53cbb28cf2e49c0dcae4ca22 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-09-22T15:19:40Z (GMT) No. of bitstreams: 1 marciomalafaiafilho.pdf: 3174349 bytes, checksum: be5afdfc53cbb28cf2e49c0dcae4ca22 (MD5)<br>Made available in DSpace on 2017-09-22T15:19:40Z (GMT). No. of bitstreams: 1 marciomalafaiafilho.pdf: 3174349 bytes, checksum: be5afdfc53cbb28cf2e49c0dcae4ca22 (MD5) Previous issue date: 2013-05-29<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>A água tem fundamental importância para a vida na Terra. Cerca de 70% da superfície terrestre é coberta por água, sendo que a maior parte dela pelos oceanos. Do total das águas, 3,46% encontram-se nos continentes. Todavia, os números sobre a área da superfície aquática continental no planeta são muito variáveis, pois geralmente negligenciam a superfície total dos corpos d’água de menores dimensões. Portanto, este estudo estimar o comprimento da rede hidrográfica brasileira, bem como sua distribuição sobre as 12 Regiões Hidrográficas do Brasil, através do uso do Shuttle Radar Topographic Mission (SRTM) e de técnicas de geoprocessamento apoiadas nos Sistemas de Informações Geográficas (SIG). Além do comprimento, estimado em 7.325.672 Km – correspondente à soma de todos os rios do território brasileiro, discriminaram-se as ordens dos rios segundo a metodologia proposta por Strahler, metodologia esta que busca uma hierarquização dos córregos e rios. Nesta discriminação observou-se que os rios de primeira ordem (os que se comunicam diretamente com as nascentes) representam 51% do comprimento total dos rios e córregos em território nacional, indicando que os menores rios são mais abundantes que os rios maiores.<br>It is well-established that water has a crucial importance to life on Earth. Nearly 70% of the Earth surface is covered by water, being the greatest part of it covered by the oceans. Out of all the water on Earth, 3.46% can be found in continents. However, the numbers concerning the continental water surface of the planet are changeable, once researchers generally do not consider the total surface of smaller water bodies. Therefore, this study aims at estimating the length of the Brazilian hydrographic network, as well as its distribution over 12 Brazilian hydrographic regions, by means of the Shuttle Radar Topographic Mission (SRTM). The study included geoprocessing techniques supported by the Geographic Information Systems (GIS). In addition to an estimated length of 7,325,672 km – correspondent to the sum of all the Brazilian rivers, this work also discriminated the stream order, as proposed by Strahler’s methodology, which casts about for the hierarchy of both rivers and streams. Through this discrimination, it was observed that first order rivers (those which communicate directly with their source) represent 51% of the total length of the rivers and streams inside the Brazilian territory, thus indicating that small rivers are most abundant than large ones.
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Conference papers on the topic "Strahler stream order"

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Jeleapov, Ana. "Estimation of streams order according to strahler classification system using GIS. Case study: streams of the Republic of Moldova." In Starea actuală a componentelor de mediu. Institute of Ecology and Geography, Republic of Moldova, 2019. http://dx.doi.org/10.53380/9789975315593.04.

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The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - &lt; 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.
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Ripley, Neil, Elisa Scordo, and Alex Baumgard. "A GIS-Based System to Assess the Environmental Consequence of a Liquid Pipeline Rupture at Watercourse Crossings." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90473.

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BGC Engineering Inc. (BGC) was retained by a large pipeline operator to develop a GIS-based system to assess and rank the environmental consequence of a pipeline rupture on watercourse crossings within their pipeline system. Several physical, biological and socio-economic factors contribute to the environmental consequence of a pipeline rupture on a watercourse. This study examined select spatial and vulnerability factors, and did not consider biologic or economic impacts. Three factors were selected as part of the initial study to prioritize the pipeline watercourse crossings according to: (1) size of the watercourse at the pipeline crossing, (2) proximity of each individual crossing to larger downstream watercourses, and (3) pipeline liquid flow rate volume. A spatial analysis was conducted to determine the first two factors, while input for the third factor was provided by the pipeline operator. Watercourse size was determined using Strahler’s stream order classification (Strahler 1952), while proximity to larger downstream watercourses was assessed using a Geographic Information System (GIS). This paper presents an overview of the data sources and methods used to develop an initial screening tool for identifying high consequence crossings within a pipeline system, and highlights the challenges encountered with acquiring and processing data to include in a consequence rating system. As with other pipeline risk assessments, the main challenges of this work include data availability, data integrity and resource limitations. This system is intended to fit within the pipeline operator’s current geohazard integrity management program and direct resources for a multi-year baseline field inspection program.
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