Your search found 4 records
1 Gafurov, Zafar; Eltazarov, Sarvarbek; Akramov, Bekzod; Djumaboev, Kakhramon; Anarbekov, Oyture; Solieva, Umida. 2018. Geodatabase and diagnostic atlas: Kashkadarya Province, Uzbekistan. Colombo, Sri Lanka: International Water Management Institute (IWMI). 74p. [doi: https://doi.org/10.5337/2018.217]
GIS ; Remote sensing ; River basins ; Digital technology ; Maps ; Simulation models ; Satellite imagery ; Urban population ; Urban areas ; Rural population ; Rural areas ; Population density ; Irrigation systems ; Irrigation water ; Water resources ; Water storage ; Water use efficiency ; Canals ; Drainage systems ; Pumps ; Lakes ; Reservoir storage ; Watersheds ; Streams ; Transportation ; Groundwater ; Soil types ; Vegetation ; Ecosystems ; Climate change ; Infrastructure / Uzbekistan / Kashkadarya Province
(Location: IWMI HQ Call no: e-copy only Record No: H048924)
(6 MB)
2 Karg, H.; Bouscarat, J.; Akoto-Danso, E. K.; Heinrigs, P.; Drechsel, Pay; Amprako, L.; Buerkert, A. 2022. Food flows and the roles of cities in West African food distribution networks. Frontiers in Sustainable Food Systems, 6:857567. [doi: https://doi.org/10.3389/fsufs.2022.857567]
Foodsheds ; Distribution systems ; Food supply chains ; Food systems ; Urbanization ; Towns ; Central places ; Markets ; Marketing channels ; Transportation ; Perishable products ; Resilience ; Policies ; Geographical information systems ; Spatial analysis / West Africa / Ghana / Cameroon / Burkina Faso / Mali / Tamale / Bamenda / Ouagadougou / Bamako
(Location: IWMI HQ Call no: e-copy only Record No: H051175)
https://www.frontiersin.org/articles/10.3389/fsufs.2022.857567/pdf
https://vlibrary.iwmi.org/pdf/H051175.pdf
https://vlibrary.iwmi.org/pdf/H051175.pdf
(6.06 MB) (6.06 MB)
In West Africa, rampant urbanization is changing food systems, including the magnitude and composition of food flows and the length of supply chains. An increasing body of literature discusses pathways to sustainable transformation of urban food systems taking into account links between urban and rural spaces. Research and policy have focused on the role of cities as consumption centers receiving food from local, regional, and global hinterlands. This study aims at widening the perspective on the role of cities in food distribution, by bringing into focus a city’s function as a consumption, aggregation, and disaggregation center. The analysis is based on a comprehensive set of primary data on food flows collected in four West African cities across different seasons. The analysis shows that the investigated cities are integrated into multi-scale urban and market networks. Their position within these networks interacts with their reliance on other territories for food supply and with their functions, such as the aggregation of goods. The capital cities of Ouagadougou (Burkina Faso) and Bamako (Mali) relied more on lower-rank urban settlements further away, while Tamale, a secondary city in Ghana, acted as an assembly market for local rural producers and in turn supplied larger urban centers. Bamenda, a secondary city in Cameroon, acted as a consumption center sourcing mainly from its hinterland. Beyond that, city functions were context-specific and varied according to type of product and season. Extending the perspective on the role of cities has implications for policy, including bringing into focus and strengthening midstream segments, such as market and transport links.
3 Maduranga, U. G. D.; Edirisinghe, M.; Alahacoon, Niranga; Ranagalage, M. 2022. Spatiotemporal variability of lightning activity over the railway network in Sri Lanka with special attention to the proposed suburban railway electrification network. Infrastructures, 7(7):92. [doi: https://doi.org/10.3390/infrastructures7070092]
Lightning ; Railways ; Spatial variation ; Transportation ; Safety ; Protection ; Electrification ; Weather hazards ; Vulnerability ; Population density / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H051311)
https://www.mdpi.com/2412-3811/7/7/92/pdf?version=1657704167
https://vlibrary.iwmi.org/pdf/H051311.pdf
https://vlibrary.iwmi.org/pdf/H051311.pdf
(3.25 MB) (3.25 MB)
This study is oriented towards the investigation of the spatiotemporal variability of the lightning activity over the railway network in Sri Lanka using -lightning data from 1998 to 2014 that were downloaded from the database of Lightning Imaging Sensor (LIS) onboard NASA’s Tropical Rainfall Measuring Mission (TRMM). The study has also been extended to study the lightning activity over the proposed suburban railway electrification network. GIS was used to conduct an annual and seasonal analysis of the railway network, which consists of nine major railway lines, to identify vulnerable stations and segments. The average annual lightning flash density over a 1447 km-long railway network of Sri Lanka varies between 5.08–16.58 flashes/(km2 year). The railway lines run across the western and southern regions of the country have been identified as being in areas with higher lightning activity. In comparison to other railway lines, the Kelani Valley line in the Colombo district and Colombo-Maradana to Polgahawela segment of the Mainline are particularly vulnerable to lightning activity. These areas have also been recognized as regions with higher population density. The proposed 102 km long railway electrification network in Sri Lanka is also within higher population density segments, with higher lightning flash density values between 10.55–16.53 flashes/(km2 ·year). As a result, to improve the operational efficiency of the proposed electrification network, a fully coordinated lightning protection system in accordance with the findings of this study is strongly suggested.
4 Loli, M.; Kefalas, G.; Dafis, S.; Mitoulis, S. A.; Schmidt, F. 2022. Bridge-specific flood risk assessment of transport networks using GIS and remotely sensed data. Science of the Total Environment, 850:157976. (Online first) [doi: https://doi.org/10.1016/j.scitotenv.2022.157976]
Flooding ; Risk assessment ; Bridges ; Transportation ; Geographical information systems ; Remote sensing ; Infrastructure ; Vulnerability ; Resilience ; Extreme weather events ; Hydrodynamics ; Precipitation ; Decision making ; Indicators ; Case studies / Greece / Thessaly / Karditsa
(Location: IWMI HQ Call no: e-copy only Record No: H051415)
https://www.sciencedirect.com/science/article/pii/S0048969722050756/pdfft?md5=fa5488c9b9f6389fa0e84729c56a18b7&pid=1-s2.0-S0048969722050756-main.pdf
https://vlibrary.iwmi.org/pdf/H051415.pdf
https://vlibrary.iwmi.org/pdf/H051415.pdf
(6.33 MB) (6.33 MB)
A novel framework for the expedient assessment of flood risk to transportation networks focused on the response of the most critical and vulnerable infrastructure assets, the bridges, is developed, validated and applied. Building upon the recent French guidelines on scour risk (CEREMA, 2019), this paper delivers a thorough methodology, that incorporates three key, risk parameters: (i) the hydrodynamic loading, a hazard component of equal significance to scour, for the assessment of hazard; (ii) the correlation of select scour indicators with a new index relating to flow velocity, a primary measure of the adverse impacts of flow–structure interaction, enabling a more accurate and automated, assessment of bridge susceptibility to scour; (iii) the use of a new, comprehensive indicator, namely the Indicator of Flood Hazard Intensity (IFHI) which incorporates, in a simple yet efficient way, the key parameters controlling the severity of flood impact on bridges, namely flow velocity, floodwater height, flow obstruction, and sediment type. The framework is implemented for the analysis of flood risk in a case study area, considering an inventory of 117 bridges of diverse construction characteristics, which were affected by a major flood that impacted Greece in September 2020. The reliability of the method is validated against an extensive record of inspected and documented bridge damages. Regional scale analysis is facilitated by the adoption of the Multi-Criteria Decision-Making method for flood hazard indexing, considering geomorphological, meteorological, hydrological, and land use/cover data, based on the processing of remotely sensed imagery and openly available geospatial datasets in GIS.
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