Environmental information management and hydrological system modelling for the assessment of hydrological eco system functions and services (ESF/ESS) in the Okavango River Basin

2014 ◽  
Vol 2014 (1) ◽  
pp. 305-338
Author(s):  
J. Helmschrot
Keyword(s):  
Information Management ◽  
River Basin ◽  
Environmental Information ◽  
System Modelling ◽  
Hydrological System ◽  
Okavango River

Development of Environmental Information System for the Tarim River Basin

2010 ◽  
Vol 26 (3) ◽  
pp. 347-353
Author(s):  
Jian-kang SHI ◽  
An-ming BAO ◽  
Hai-long LIU ◽  
Xian-wei FENG ◽  
Wei-sheng WANG ◽  
...  
Keyword(s):  
Information System ◽  
River Basin ◽  
Environmental Information ◽  
Tarim River ◽  
Tarim River Basin ◽  
The Tarim River ◽  
Environmental Information System ◽  
The Tarim River Basin

Study on the Military Environmental Information Management with GIS

2010 ◽  
Vol 113-116 ◽  
pp. 561-564
Author(s):  
Jian Ding ◽  
Ke Hong Wu ◽  
Zhi Bing Ding
Keyword(s):  
Decision Making ◽  
Information Management ◽  
Transportation Planning ◽  
Vital Role ◽  
Environmental Information ◽  
Gis Technology ◽  
Important Conclusion ◽  
Model Calculations ◽  
Hazardous Chemical ◽  
Application Fields

The application of GIS technology to Military Environmental Information(MEI) management will play a vital role in MEI management, and can lead to better decision-making. This paper discusses both the management method and the application fields. Case studies, like information management, pollution coverage evaluating, military transportation planning and monitoring, and decision-making supporting, are presented in this paper. Detailed digital basemap database, Digital Elevation Model(DEM) data, Digital OrthoImage Model(DOM) data, image database of Remote Sensing, Social economic element database, and other informations related to military features, can be integrated into MEI GIS, and will meet the needs for later query and statistics. Spatial analysis is the bridge that links fundamental data models to GIS technology. While buffer analysis can be used for identifying the locations of hazardous chemical storage sites in relation to residents living area, and can facilitate the evaluation of the threatened area in the event of a leak or spill of hazardous materials. Network analysis can be used in military transportation planning and monitoring. GIS is particularly useful in providing composite visual representation of fairly complex underlying model calculations, analysts can draw implicit and important conclusion from the already known geographical data. The study shows that the management of MEI using GIS technology is reasonable and feasible, and GIS is a highly efficient tool in MEI management.

scholarly journals Nitrate leaching in irrigated inorganic agriculture: A case study of Mashare commercial farm in Namibia, Okavango River Basin

2016 ◽  
Vol 11 (31) ◽  
pp. 2871-2881 ◽  
Author(s):  
Vushe Andrea ◽  
von Landsberg Loffie ◽  
Groengroeft Alexander ◽  
A Mashauri Damas
Keyword(s):  
River Basin ◽  
Nitrate Leaching ◽  
Commercial Farm ◽  
Okavango River

Water flow dynamics in the Okavango River Basin and Delta––a prerequisite for the ecosystems of the Delta

2003 ◽  
Vol 28 (20-27) ◽  
pp. 1165-1172 ◽  
Author(s):  
Lotta Andersson ◽  
Thomas Gumbricht ◽  
Denis Hughes ◽  
Dominic Kniveton ◽  
Susan Ringrose ◽  
...  
Keyword(s):  
River Basin ◽  
Water Flow ◽  
Flow Dynamics ◽  
Okavango River

Towards a Virtual Enterprise Architecture for the Environmental Sector

2008 ◽  
pp. 368-378
Author(s):  
Ioannis N. Athanasiadis
Keyword(s):  
Information Management ◽  
Natural Environment ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Virtual Enterprise ◽  
Knowledge Exchange ◽  
Daily Basis ◽  
Environmental Information ◽  
Management Ownership ◽  
Service Oriented

This chapter introduces a Virtual Enterprise architecture for environmental information management, integration and dissemination. On a daily basis, our knowledge related to ecological phenomena, the degradation of the natural environment and the sustainability of human activity impacts, is growing. As a consequence raises the need for effective environmental knowledge exchange and reuse. In this work, a solution among collaborating peers forming a Virtual Enterprise is investigated. Following an analysis of the main stakeholders, a service-oriented architecture is proposed. Technical implementation options, using web-services or software agents, are considered and issues related to environmental information management, ownership and standardization are discussed.

scholarly journals Bat Species Richness and Community Composition along a Mega-transect in the Okavango River Basin

Diversity ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 188 ◽  
Author(s):  
Sina M. Weier ◽  
Mark Keith ◽  
Götz G. Neef ◽  
Daniel M. Parker ◽  
Peter J. Taylor
Keyword(s):  
Species Richness ◽  
Community Composition ◽  
River Basin ◽  
Total Activity ◽  
Environmental Drivers ◽  
Conservation Strategies ◽  
Miombo Woodlands ◽  
Human Land Use ◽  
Functional Community ◽  
Okavango River

The Okavango River Basin is a hotspot of bat diversity that requires urgent and adequate protection. To advise future conservation strategies, we investigated the relative importance of a range of potential environmental drivers of bat species richness and functional community composition in the Okavango River Basin. During annual canoe transects along the major rivers, originating in the central Angolan highlands, we recorded more than 25,000 bat echolocation calls from 2015 to 2018. We corrected for possible biases in sampling design and effort. Firstly, we conducted rarefaction analyses of each survey year and sampling appeared to be complete, apart from 2016. Secondly, we used total activity as a measure of sample effort in mixed models of species richness. Species richness was highest in the Angola Miombo Woodlands and at lower elevations, with higher minimum temperatures. In total, we identified 31 individual bat species. We show that even when acoustic surveys are conducted in remote areas and over multiple years, it is possible to correct for biases and obtain representative richness estimates. Changes in habitat heterogeneity will have detrimental effects on the high richness reported here and human land-use change, specifically agriculture, must be mediated in a system such as the Angolan Miombo Woodland.

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