It is becoming increasingly recognized that computer methods such as models and Geographic Information Systems (GIS) can be valuable tools for analyzing a geographical area in terms of it's hazards vulnerability, Vulnerability is an important aspect of households' experience of poverty. The measurement and analysis of poverty, inequality and vulnerability are crucial for cognitive purposes (to know what the situation is), for analytical purposes (to understand the factors determining this situation), for policy making purposes (to design interventions best adapted to the issues), and for monitoring and evaluation purposes (to assess whether current policies are effective, and whether the situation is changing). Here vulnerability defined as the probability or risk today of being in poverty -or falling deeper into poverty -in the future. Vulnerability is a key dimension of well being since it affects individuals' behavior (in terms of investment, production patterns, coping strategies) and their perception of their own situation. This study has been conducted with the joint collaboration of World Food Programme (WFP) and International Water Management Institute (IWMI) in Sri Lanka for identifying regions and population which are food insecure, for analyzing the reasons for vulnerability to food insecurity in order to provide decision-makers with information to identify possible sectors of intervention and for identifying where and for whom food aid can be best utilized in Sri Lanka. This new approach integrates GIS and Remote sensing with other statistical packages to allow consideration of more spatial/physical parameters like accessibility to economic resources, particularly land and the assets of the built environment, creating employment, and attracting investment in order to improve the quality and quantity of goods and services for the analysis which leads the analysis to represent the real scenario. For this study a detailed topographic data are being used along with MODIS EVI (Enhanced Vegetation Index) and ASTER level 2 decor relation stretch data for vegetation cover images. Other social indicators of poverty, access to resources, communal services, social services, social tensions, Multi-ethnic collaboration, capacity for self governance, Government effectiveness and demographic data of Sri Lanka are also been used for this study. This paper illustrates the efforts of GIS and Remote Sensing applications along with Statistical Packages for Vulnerability analysis in terms of food insecurity and poverty and also addresses the ultimate utility of these studies.
Abstract. The Ganges River Basin may have a major pending water crisis. Although the basin has abundant surface water and groundwater resources, the seasonal monsoon causes a mismatch between supply and demand as well as flooding. Water availability and flood potential is high during the 3–4 months of the monsoon season. Yet, the highest demands occur during the 8–9 months of the non-monsoon period. Addressing this mismatch requires substantial additional storage for both flood reduction and improvements in water supply. Due to hydrogeological, environmental, and social constraints, expansion of surface storage in the Ganges River Basin is problematic. A range of interventions that focus more on the use of subsurface storage (SSS), and on the acceleration of surface–subsurface water exchange, have long been known as the "Ganges Water Machine". One approach for providing such SSS is through additional pumping prior to the onset of the monsoon season. An important necessary condition for creating such SSS is the degree of unmet water demand. This paper highlights that an unmet water demand ranging from 59 to 119 Bm3 exists under two different irrigation water use scenarios: (i) to increase Rabi and hot weather season irrigation to the entire irrigable area, and (ii) to provide Rabi and hot weather season irrigation to the entire cropped area. This paper shows that SSS can enhance water supply, and provide benefits for irrigation and other water use sectors. In addition, it can buffer the inherent variability in water supply and mitigate extreme flooding, especially in the downstream parts of the basin. It can also increase river flow during low-flow months via baseflow or enable the re-allocation of irrigation canal water. Importantly, SSS can mitigate the negative effects of both flooding and water scarcity in the same year, which often affects the most vulnerable segments of society – women and children, the poor and other disadvantaged social groups.
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