scholarly journals Generalized Models of River System Development and Management

10.5772/28209 ◽  
2011 ◽  
Author(s):  
Ralph A.
Keyword(s):  
System Development ◽  
River System ◽  
Development And Management

Social Media in DMSS System Development and Management

2013 ◽  
pp. 104-116
Author(s):  
Daniel E. O’Leary
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Support System ◽  
System Development ◽  
Media Content ◽  
Project Development ◽  
Media Technologies ◽  
Use Of Social Media ◽  
Project History ◽  
Development And Management

This paper surveys and extends the use of social media technologies as part of decision making support system (DMSS) development and management. In particular, this paper investigates how social media technologies, such as wikis, blogs, micro-blogs and tagging, have been and can be used to facilitate development and management of DMSS, through communication and collaboration. However, the author suggests going beyond simply communication and collaboration. The particular focus is on using an analysis of digital media content to address a range of issues, including using social media content to facilitate capturing project history, doing an analysis of that content to facilitate documentation development, and monitoring content from social media to provide insights into project development. Domain-based characteristics of the text are investigated to discover meaning in social media content.

History of Kansas Glacial Geology

1984 ◽  
Vol 3 (2) ◽  
pp. 134-142 ◽  
Author(s):  
James Aber
Keyword(s):  
System Development ◽  
River System ◽  
The State ◽  
Glacial Geology ◽  
The Bible ◽  
History Of ◽  
Lake Drainage ◽  
Glacial Periods ◽  
Continental Glaciation ◽  
Modern Era

The glacial features of northeastern Kansas have been investigated scientifically for more than a century; out of this study has come the concept of the "Kansan glaciation," which is recognized as an important stage of continental glaciation during the Pleistocene Epoch. The past glaciation of the American Plains and its implication for river-system development were recognized early by Louis Agassiz in 1868. Evidence for multiple glacial advances was discovered soon after, and T. C. Chamberlin in 1896 designated five glacial periods, of which the Kansan glaciation was next to oldest. The first detailed studies of glacial features in Kansas were carried out by J. E. Todd mostly in the second decade of this century. He emphasized reconstruction of stream and lake drainage developed peripherally to the ice sheet, and he can be regarded as the "father of Kansas glacial geology." The work of Todd was followed closely by that of W. H. Schoewe in the 1920-40's. Schoewe mapped the glacial limit as presently accepted, collected nearly all measurements of glacial striations in the State, and described evidence for multiple ice advances in the region. The modern era of glacial geology in Kansas began in 1952 with a comprehensive report by J. C. Frye and A. B. Leonard. They developed the concept of a cyclical model for interpreting Pleistocene strata of the State, and although now out-dated in some respects, their report remains the "bible" for Pleistocene and glacial geology in Kansas. The complexity of glaciation in Kansas was recognized increasingly during the 1960's and 1970's by many geologists, who recognized evidence for multiple glacial advances from various directions. At least one pre-Kansan and two Kansan advances now are recognized in the State.

scholarly journals Evolution of the Bystrzyca River valley during Middle Pleistocene Interglacial (Sudetic Foreland, south-western Poland)

2020 ◽  
Vol 12 (1) ◽  
pp. 1679-1703
Author(s):  
Dariusz Krzyszkowski ◽  
Lucyna Wachecka-Kotkowska ◽  
Marcin Krawczyk
Keyword(s):  
Distal Part ◽  
System Development ◽  
River System ◽  
River Valley ◽  
Oxbow Lake ◽  
Middle Pleistocene ◽  
Alluvial Deposits ◽  
The North ◽  
Study Results ◽  
Tectonic Movements

AbstractThe article depicts the problem of river system development during the Middle Pleistocene Interglacial in the Bystrzyca River Valley (Sudetic Foreland, south-western Poland). Ten research sites located within the Świdnica Plain are presented, in which the structural, grain size (granulometry), petrographic, quartz grain morphoscopy, and heavy mineral analyses were carried out. The study results show the formation of piedmont fan deposits 2–8 km to the NE of the Sudetic Marginal Fault. The location of the fluvial deposits between the Sanian and Odranian tills indicates that they were deposited during the Holsteinian Interglacial (Krzczonów Formation, Mazovian; see Table 1). According toxthe lithofacies analysis, vast alluvial plains, composed of angular gravel grains in the south and of sands in the north, were deposited in the Sudetic Foreland in the environment of a very dynamic river. They are covered with a discontinuous layer of Odranian till. The petrographic spectrum shows 90–99% of local rocks, namely, Sudetic porphyry, Sowie Mts Gneiss and milky quartz, and 1–10% of Scandinavian rocks. In the proto-Bystrzyca river system, the existence of an oxbow lake in the distal part of the Krzczonów fan has been proved, which was developing at the end of the Holsteinian Interglacial. The continuity of the alluvial deposits is interrupted in the vicinity of Świdnica due to both the tectonic movements and the formation of the narrow tectonic graben of Roztoka–Mokrzeszów.

scholarly journals Application of SARIMA model to forecasting monthly flows in Waterval River, South Africa

2017 ◽  
Vol 35 (1) ◽  
pp. 229-236 ◽  
Author(s):  
Kassahun Birhanu Tadesse ◽  
Megersa Olumana Dinka
Keyword(s):  
River Flow ◽  
River System ◽  
Forecast Performance ◽  
Sarima Model ◽  
River Flow Forecasting ◽  
Flow Information ◽  
Computational Intelligent ◽  
Development And Management ◽  
Sarima Models ◽  
Modelling And Forecasting

AbstractKnowledge of future river flow information is fundamental for development and management of a river system. In this study, Waterval River flow was forecasted by SARIMA model using GRETL statistical software. Mean monthly flows from 1960 to 2016 were used for modelling and forecasting. Different unit root and Mann–Kendall trend analysis proved the stationarity of the observed flow time series. Based on seasonally differenced correlogram characteristics, different SARIMA models were evaluated; their parameters were optimized, and diagnostic check up of forecasts was made using white noise and heteroscedasticity tests. Finally, based on minimum Akaike Information (AI) and Hannan–Quinn (HQ) criteria, SARIMA (3, 0, 2) x (3, 1, 3)12 model was selected for Waterval River flow forecasting. Comparison of forecast performance of SARIMA models with that of computational intelligent forecasting techniques was recommended for future study.

Application of Fuzzy Cognitive Maps in IT Management and Risk Analysis

2010 ◽  
pp. 90-99
Author(s):  
Masoud Mohammadian
Keyword(s):  
System Development ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
It Management ◽  
Chief Information Officers ◽  
It Systems ◽  
Rapid Changes ◽  
Complex Relationships ◽  
Development And Management ◽  
Constant Improvement

Development and management of IT systems are complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to IT systems. There are a large number of processes involved in IT system development and monitoring. The interdependencies of these processes make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of effect of inefficiencies that may exist in development of these processes in their organization. This chapter considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management model and their related processes to improve the understanding of CIOs about the systems and its associated risks. By using FCMs CIOs can regularly review and improve their IT systems and provide greater improvement in development, monitoring and maintenance of IT facilities. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system.

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