Ontology type: schema:ScholarlyArticle Open Access: True
2017-02-23
AUTHORSH. C. Bonsor, A. M. MacDonald, K. M. Ahmed, W. G. Burgess, M. Basharat, R. C. Calow, A. Dixit, S. S. D. Foster, K. Gopal, D. J. Lapworth, M. Moench, A. Mukherjee, M. S. Rao, M. Shamsudduha, L. Smith, R. G. Taylor, J. Tucker, F. van Steenbergen, S. K. Yadav, A. Zahid
ABSTRACTThe Indo-Gangetic aquifer is one of the world’s most important transboundary water resources, and the most heavily exploited aquifer in the world. To better understand the aquifer system, typologies have been characterized for the aquifer, which integrate existing datasets across the Indo-Gangetic catchment basin at a transboundary scale for the first time, and provide an alternative conceptualization of this aquifer system. Traditionally considered and mapped as a single homogenous aquifer of comparable aquifer properties and groundwater resource at a transboundary scale, the typologies illuminate significant spatial differences in recharge, permeability, storage, and groundwater chemistry across the aquifer system at this transboundary scale. These changes are shown to be systematic, concurrent with large-scale changes in sedimentology of the Pleistocene and Holocene alluvial aquifer, climate, and recent irrigation practices. Seven typologies of the aquifer are presented, each having a distinct set of challenges and opportunities for groundwater development and a different resilience to abstraction and climate change. The seven typologies are: (1) the piedmont margin, (2) the Upper Indus and Upper-Mid Ganges, (3) the Lower Ganges and Mid Brahmaputra, (4) the fluvially influenced deltaic area of the Bengal Basin, (5) the Middle Indus and Upper Ganges, (6) the Lower Indus, and (7) the marine-influenced deltaic areas. More... »
PAGES1377-1406
http://scigraph.springernature.com/pub.10.1007/s10040-017-1550-z
DOIhttp://dx.doi.org/10.1007/s10040-017-1550-z
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1083894026
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/32025191
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Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10040-017-1550-z'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10040-017-1550-z'
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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10040-017-1550-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10040-017-1550-z'
This table displays all metadata directly associated to this object as RDF triples.
381 TRIPLES
21 PREDICATES
108 URIs
78 LITERALS
7 BLANK NODES