Your search found 7 records
1 Prasad, P. R.; Nagabhatla, N.; Dutt, C. B. S. 2010. Intra-variability analysis in the heterogeneous tropical island system of South Asia. In Ramakrishna; Raghunathan, C.; Sivaperuman, C. Recent trends in biodiversity of Andaman and Nicobar Islands. Kolkata, India: Zoological Survey of India. pp.223-230 + Plates.
Islands ; Landscape ; Mapping ; Data analysis ; Biodiversity ; Forests / South Asia / Emerald Isles / Andaman Island / Nicobar Island / Baratang Islands
(Location: IWMI HQ Call no: e-copy only Record No: H044341)
(0.21 MB)
2 Abeygunawardana, P. 2014. Climate change, international accountability and Small Island Developing States [SIDS]. Soba Parisara Prakashanaya, 23(1):11-13.
(Location: IWMI HQ Call no: P 8152 Record No: H046654)
(0.19 MB)
3 Wijayadasa, K. H. J. (Ed.) 1997. Harmonising environment and development in South Asia. Colombo, Sri Lanka: South Asia Co-operative Environment Programme (SACEP). 458p.
Sustainable development ; Environmental management ; Economic development ; Economic policy ; Ecosystems ; Biodiversity ; Climate change ; Air pollution ; Water pollution ; Water quality ; Waste management ; Forest management ; Agroforestry ; Environmental legislation ; Environmental impact assessment ; International cooperation ; Poverty ; Population growth ; Public participation ; Women in development ; Capacity building ; Urban development ; Coastal area ; Tourism ; Islands ; Mountains ; Irrigation management / South Asia / Sri Lanka / Maldives / India / Nepal / Pakistan
(Location: IWMI HQ Call no: 333.7 G000 WIJ Record No: H046706)
(0.45 MB)
4 Low, P. S. 2005. Climate change and Africa. Cambridge, UK: Cambridge University Press. 369p.
Climate change ; Adaptation ; Desertification ; Flooding ; Drought ; Disaster risk reduction ; Sustainable development ; Energy resources ; Biomass ; Electricity ; Solar energy ; Atmospheric chemistry ; Organic volatile compounds ; Air pollution ; Carbon ; Emission reduction ; Ozone depletion ; Soil microorganisms ; International agreements ; Natural resources ; Transport ; Sea level ; Biodiversity ; Islands ; El Nino-Southern Oscillation ; Indigenous organisms ; Population growth ; Capacity building ; Case studies ; SADC countries / Africa / Ethiopia / Kenya / Egypt / Ghana / Botswana / Tanzania / Zambia
(Location: IWMI HQ Call no: 577.22 G100 LOW Record No: H047089)
(0.33 MB)
5 Fernando, S. (Ed.); Nadaraja, L. (Photographer). 2016. Sri Lanka: a heritage of water. [s.l.]: Author. 227p.
Water resources ; Watersheds ; Water quality ; Water use ; Hydraulic structures ; Cultural development ; Heritability ; History ; Ancestral technology ; Building construction ; Social groups ; Religion ; Women's participation ; Administrative areas ; Government policy ; Climate change ; River basins ; Seas ; Islands ; Nature reserves ; Forest cover ; Land use ; Lagoons ; Aquatic mammals ; Otters ; Crocodiles ; Waterfowl ; Habitats ; Biodiversity ; Aquatic plants / Jaffna / Kanneliya / Dediyagala / Nakiadeniya / Mahaweli River / Upper Mahaweli Catchment
(Location: IWMI HQ Call no: 333.91 G744 FER Record No: H047921)
(1.07 MB)
6 Jimenez-Redal, R.; Soriano, J.; Holowko, N.; Almandoz, J.; Arregui, F. 2018. Assessing sustainability of rural gravity-fed water schemes on Idjwi Island, D.R. Congo. International Journal of Water Resources Development, 34(6):1022-1035. [doi: https://doi.org/10.1080/07900627.2017.1347086]
Water supply ; Sustainability ; Rural areas ; Households ; Committees ; Willingness to pay ; Communities ; Projects ; Ownership ; Indicators ; Islands / Democratic Republic of the Congo / Idjwi Island
(Location: IWMI HQ Call no: e-copy only Record No: H048947)
(0.75 MB)
To assess the sustainability of rural gravity-fed water schemes on Idjwi Island, the association between four hypothesized drivers of sustainability – perceived sense of ownership, willingness to pay for maintenance, trust in the water committee, and household involvement in the project – and service reliability, the main outcome variable, was analyzed. Primary data were gathered through in-person surveys of 1253 user households. The results provide two significant insights. First, during the 5–10 years after implementation, in the presence of an external intervention, a lower perceived sense of ownership for the water system was associated with higher service reliability. This stands in contrast with much of the existing literature, which outlines a consistent positive association between sense of ownership and sustainability of rural water systems. Second, despite 77% of beneficiaries stating that they were willing to pay for maintenance service, such contributions were not forthcoming, due to lack of trust in the water committee. In this scenario, almost 42% of the water points are reported as non-functional, 5–10 years after completion.
7 Higley, M. C.; Conroy, J. L. 2019. The hydrological response of surface water to recent climate variability: a remote sensing case study from the central tropical Pacific. Hydrological Processes, 33(16):2227-2239. [doi: https://doi.org/10.1002/hyp.13465]
Surface water ; Climate change ; Hydrological factors ; Remote sensing ; Case studies ; Freshwater ; Groundwater ; Evaporation ; El Nino-Southern Oscillation ; Satellite imagery ; Landsat ; Normalized difference vegetation index ; Islands / Pacific Islands / Kiribati / Kiritimati
(Location: IWMI HQ Call no: e-copy only Record No: H049284)
(2.56 MB)
For small tropical islands with limited freshwater resources, understanding how island hydrology is influenced by regional climate is important, considering projected hydroclimate and sea level changes as well as growing populations dependent on limited groundwater resources. However, the relationship between climate variability and hydrologic variability for many tropical islands remains uncertain due to local hydroclimatic data scarcity. Here, we present a case study from Kiritimati, Republic of Kiribati (2°N, 157°W), utilizing the normalized difference vegetation index to investigate variability in island surface water area, an important link between climate variability and groundwater storage. Kiritimati surface water area varies seasonally, following wet and dry seasons, and interannually, due to hydroclimate variability associated with the El Niño/Southern Oscillation. The NIÑO3.4 sea surface temperature index, satellite-derived precipitation, precipitation minus evaporation, and local sea level all had significant positive correlations with surface water area. Lagged correlations show sea level changes and precipitation influence surface water area up to 6 months later. Differences in the timing of surface water area changes and variable climate-surface water area correlations in island subregions indicate that surface hydrology on Kiritimati is not uniform in response to climate variations. Rather, the magnitude of the ocean–atmosphere anomalies and island–ocean connectivity determine the extent to which sea level and precipitation control surface water area. The very strong 2015–2016 El Niño event led to the largest surface water area measured in the 18-year data set. Surface water area decreased to pre-event values in a similarly rapid manner (<6 months) after both the very strong 2015–2016 event and the 2009–2010 moderate El Niño event. Future changes in the frequency and amplitude of interannual hydroclimate variability as well as seasonal duration will thus alter surface water coverage on Kiritimati, with implications for freshwater resources, flooding, and drought.
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