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1
Morphometric analysis of debris flows and their source areas using GIS
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Artigo
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Morphometric analysis of debris flows and their source areas using GIS

Chen, Chien-Yuan ; Yu, Fan-Chieh

Geomorphology (Amsterdam, Netherlands), 2011-06, Vol.129 (3-4), p.387-397 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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A GIS-based liquefaction susceptibility mapping utilising the morphotectonic analysis to highlight potential hazard zones in the East Ganga plain
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A GIS-based liquefaction susceptibility mapping utilising the morphotectonic analysis to highlight potential hazard zones in the East Ganga plain

Rawat, Abhishek ; Kumar, Dheeraj ; Chatterjee, R. S. ; Kumar, Harsh

Environmental earth sciences, 2022-07, Vol.81 (13), Article 358 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Delineation of groundwater potential zones and recommendation of artificial recharge structures for augmentation of groundwater resources in Vattamalaikarai Basin, South India
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Artigo
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Delineation of groundwater potential zones and recommendation of artificial recharge structures for augmentation of groundwater resources in Vattamalaikarai Basin, South India

Arya, S. ; Subramani, T. ; Karunanidhi, D.

Environmental earth sciences, 2020-03, Vol.79 (5), Article 102 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
How large is the Upper Indus Basin? The pitfalls of auto-delineation using DEMs
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Artigo
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How large is the Upper Indus Basin? The pitfalls of auto-delineation using DEMs

Khan, Asif ; Richards, Keith S. ; Parker, Geoffrey T. ; McRobie, Allan ; Mukhopadhyay, Biswajit

Journal of hydrology (Amsterdam), 2014-02, Vol.509, p.442-453 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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5
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
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Artigo
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Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Tien Bui, Dieu ; Tuan, Tran Anh ; Klempe, Harald ; Pradhan, Biswajeet ; Revhaug, Inge

Landslides, 2016-04, Vol.13 (2), p.361-378 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
On the attribution of the changing hydrological cycle in Poyang Lake Basin, China
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On the attribution of the changing hydrological cycle in Poyang Lake Basin, China

Sun, Shanlei ; Chen, Haishan ; Ju, Weimin ; Yu, Miao ; Hua, Wenjian ; Yin, Yi

Journal of hydrology (Amsterdam), 2014-06, Vol.514, p.214-225 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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7
Flood hazard assessment of upper Jhelum basin using morphometric parameters
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Flood hazard assessment of upper Jhelum basin using morphometric parameters

Bhat, M. Sultan ; Alam, Akhtar ; Ahmad, Shabir ; Farooq, Hakim ; Ahmad, Bashir

Environmental earth sciences, 2019, Vol.78 (2), p.1-17, Article 54 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
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Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

Tehrany, Mahyat Shafapour ; Pradhan, Biswajeet ; Jebur, Mustafa Neamah

Journal of hydrology (Amsterdam), 2013-11, Vol.504, p.69-79 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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9
Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed
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Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed

Baker, Tracy J. ; Miller, Scott N.

Journal of hydrology (Amsterdam), 2013-04, Vol.486, p.100-111 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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10
Hydrography90m: a new high-resolution global hydrographic dataset
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Hydrography90m: a new high-resolution global hydrographic dataset

Amatulli, Giuseppe ; Garcia Marquez, Jaime ; Sethi, Tushar ; Kiesel, Jens ; Grigoropoulou, Afroditi ; Ãblacker, Maria M ; Shen, Longzhu Q ; Domisch, Sami

Earth system science data, 2022-10, Vol.14 (10), p.4525-4550 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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