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In this study, groundwater quality of an alluvial aquifer in the western Ganges basin is assessed using a GIS-based groundwater quality index (GQI) concept that uses groundwater quality data from field survey and laboratory analysis
. Groundwater samples were collected from 42 wells during pre-monsoon and post-monsoon periods of 2012 and analysed for pH, EC, TDS, Anions (Cl, SO4, NO3), and Cations (Ca, Mg, Na). To generate the index, several parameters were selected based on WHO recommendations. The spatially variable grids of each parameter were modified by normalizing with the WHO standards and finally integrated into a GQI grid. The mean GQI values for both the season suggest good groundwater quality. However, spatial variations exist and are represented by GQI map of both seasons. This spatial variability was compared with the existing land-use, prepared using high-resolution satellite imagery available in Google earth. The GQI grids were compared to the land-use map using an innovative GIS-based method. Results indicate that the spatial variability of groundwater quality in the region is not fully controlled by the land-use pattern. This probably reflects the diffuse nature of land-use classes, especially settlements and plantations
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Ishaq, S.; Ahmad, B.; Kamran, A.; Raza, N.; Khan, M. A.; Virk, Z. T.; Doger, S. S.; Jamil, M. K.; Mustafa, N.; Mahmood, T.; Hassan, M.
This working paper is aimed at finding out the climate change adaptations going on across the three HI-AWARE Project Sites in Indus Basin, namely Hunza (High mountains), Soan Basin (Mid hill) and Chaj Doab ( Flood plains)
. Both autonomous and planned adaptations have been enlisted after thoroughly reviewing published and grey literature. Some focus group discus-sions and key informant interviews were also held in order to know about people experiences, perceptions and existing practices that they are carrying out to sustain their livelihood
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The article analyzes Tidal River Management in Bangladesh from a social learning perspective
. Four cases were investigated using participatory assessment. Knowledge acquisition through transformations in the Tidal River Management process was explored as an intended learning outcome. The study finds that social learning occurred more prominently at the individual stakeholder level and less at the collective level. For Tidal River Management to be responsive and sustainable, especially in times of increased uncertainty and climate vulnerability, more attention needs to be paid to coordination and facilitation of multi-level learning that includes all stakeholders
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The cryosphere constitutes an important subset of the hydrosphere
. The Himalayan cryosphere is a significant contributor to the hydrological budget of a large river system such as the Ganges. Basic data on the cryosphere in the Himalaya is inadequate and also has large uncertainties. The data on glacial melt component in the Himalayan rivers of India also shows high variability. The Gangotri glacier which constitutes nearly a fifth of the glacierized area of the Bhagirathi basin represents one of the fastest receding, large valley glaciers in the region which has been surveyed and monitored for over sixty years. The availability of measurement over a long period and relatively small glacier-fed basin for the Bhagirathi river provides suitable constraints for the measurement of the glacial melt fraction in a Himalayan river. Pre- and post-monsoon samples reveal a decreasing trend of depletion of d18O in the river water from glacier snout (Gaumukh) to the confluence of the Bhagirathi river with the Alaknanda river near Devprayag. Calculations of existing glacial melt fraction (~30% at Rishikesh) are not consistent with the reported glacial thinning rates. It is contended that the choice of unsuitable end-members in the three component mixing model causes the overestimation of glacial melt component in the river discharge. Careful selection of end members provides results (~11% at Devprayag) that are consistent with the expected thinning rates
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The present study is an attempt to explore the association between kitchen indoor air pollutants and physiological profiles in kitchen workers with microalbuminuria (MAU) in north India (Lucknow) and south India (Coimbatore)
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The study investigates Himalayan ibex (Capra ibex sibirica) and their range resource condition within the preferred habitat in the Central Karakoram National Park, Pakistan
. We apply ecological niche factor analysis (ENFA) using 110 ibex sighting data and 6 key biophysical variables describing the habitat conditions and produce habitat suitability and maps with GIS and statistical tool (BioMapper). The modeling results of specialization factor shows some limitation for ibex over the use of slope, elevation, vegetation types and ruggedness. The habitat area selection for the ibex is adjusted to the ibex friendly habitat available conditions. The model results predicted suitable habitat for ibex in certain places, where field observation was never recorded. The range resource dynamics depict a large area that comes under the alpine meadows has the highest seasonal productivity, assessed by remote sensing based fortnightly vegetation condition data of the last 11 years. These meadows are showing browning trend over the years, attributable to grazing practices or climate conditions. At lower elevation, there are limited areas with suitable dry steppes, which may cause stress on ibex, especially during winter
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There is a growing consensus among migration scholars that remittances tend to be a counter-cyclical shock absorber in times of crisis
. In mountain contexts of the global South, lack of formal employment opportunities, precarious land rights, subsistence agriculture, along with the lack of access to financial instruments and social protection, severely limit the ability of people to cope with crisis and insure themselves against risks. The extent to which remittances can contribute to climate change adaptation requires further exploration. Previous research has adopted an index-based approach to examine the vulnerability of a country, community, sector, or ecosystem. However, similar methodology has not been applied to explore whether remittances have a role in reducing the vulnerability of recipient households to a particular environmental stressor. Floods are a major environmental stressor in the Upper Indus Sub-basin. However, village level flood preparedness remains low, and household level flood preparedness is comprised of short-term strategies. Remittances are crucial to meet the basic needs (e.g. food, education, healthcare) of recipient households. The findings from the vulnerability assessment indicate that remittance recipient households are marginally less vulnerable than non-recipient households. Remittance recipient households have lower dependence on the environment, better access to formal financial institutions, and are less likely to reduce food consumption during floods. In contrast, among the households engaged in farming, more non-recipient households have made changes in agricultural practices in response to floods than remittance recipient households
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In this study, metal pollution and their sources in surface soils were evaluated by pollution indices and multivariate statistical techniques in association with a geographical information system (GIS)
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Coastal communities in Bangladesh are at great risk due to frequent cyclones and cyclone induced storm-surges, which damages inland and marine resource systems
. In the present research, seven marginal livelihood groups including Farmers, Fisherman, Fry (shrimp) collectors, Salt farmers, Dry fishers, Forest resource extractors, and Daily wage labourers are identified to be extremely affected by storm- surges in the coastal area of Bangladesh. A livelihood security model was developed to investigate the security status of the coastal livelihood system in a participatory approach. In the model, livelihood security consists of five components: (1) Food, (2) Income, (3) Life & health, (4) House & properties, and (5) Water security. Analytical hierarchy process was followed to assess the livelihood security indicators based on respondents’ security options. The model was verified through direct field observation and expert judgment. The Livelihood Security Model yields a Livelihood Security Index which can be used for assessing and comparing the household security level (in %) of different livelihood groups in the storm-surge prone coastal areas. The model was applied with data from two major coastal areas (Cox’s Bazar and Satkhira) of Bangladesh and is applicable to other coastal areas having similar settings
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