Reply to Comment on 'Multi-Scale Modeling of Nutrient Pollution in the Rivers of China'

Autor: Zhaohai Bai, Maryna Strokal, Carolien Kroeze, Mengru Wang, John Stuiver, Michelle T. H. van Vliet, Lin Ma, Xi Chen

Publikováno v: Environmental science & technology 54 (2020) 3
Environmental science & technology, 54(3), 2046-2047

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f58c473fa2491ed191de1d5d19a236
https://pubmed.ncbi.nlm.nih.gov/31922728

Implementing landslide path dependency in landslide susceptibility modelling

Autor: Jalal Samia (1, Arnaud Temme (2, Arnold K. Bregt (1), Jakob Wallinga (4), John Stuiver (1), Fausto Guzzetti (3), Francesca Ardizzone (3), Mauro Rossi (3)

Publikováno v: Landslides, 15(11), 2129-2144
Landslides (Berl., Internet) (2018). doi:10.1007/s10346-018-1024-y
info:cnr-pdr/source/autori:Jalal Samia (1,4), Arnaud Temme (2,5), Arnold K. Bregt (1), Jakob Wallinga (4), John Stuiver (1), Fausto Guzzetti (3), Francesca Ardizzone (3), Mauro Rossi (3)/titolo:Implementing landslide path dependency, in landslide susceptibility modelling/doi:10.1007%2Fs10346-018-1024-y/rivista:Landslides (Berl., Internet)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
Landslides 15 (2018) 11

Landslide susceptibility modelling--a crucial step towards the assessment of landslide hazard and risk--has hitherto not included the local, transient effects of previous landslides on susceptibility. In this contribution, we implement such transient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::357eeb688e8654b9812a1557e956dba2
https://doi.org/10.1007/s10346-018-1024-y

Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000–2005 in the tropics

Autor: Mario Herrero, Louis V. Verchot, Sytze de Bruin, Benjamin Poulter, Changsheng Li, Martin Herold, John Stuiver, Stephen M. Ogle, Mariana C. Rufino, Klaus Butterbach-Bahl, Rosa Maria Roman-Cuesta, Christopher Martius, Todd S. Rosenstock

Publikováno v: Biogeosciences, Vol 13, Iss 14, Pp 4253-4269 (2016)
Biogeosciences, 13 (14), 4253-4269
Biogeosciences 13 (2016) 14
Biogeosciences, 13(14), 4253-4269
Biogeosciences

According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Ag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::587dc469bce5f3612815758e84a2d684
http://www.biogeosciences.net/13/4253/2016/bg-13-4253-2016.pdf

Hotspots of tropical land use emissions: patterns, uncertainties, and leading emission sources for the period 2000–2005

Autor: Christopher Martius, Todd S. Rosenstock, Louis V. Verchot, Sytze de Bruin, Stephen M. Ogle, Changsheng Li, Mariana C. Rufino, Klaus Butterbach-Bahl, Martin Herold, Benjamin Poulter, Rosa Maria Roman-Cuesta, John Stuiver, Mario Herrero

According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Ag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ba2bc28316c19768466c4f427bf131a
https://doi.org/10.5194/bg-2016-99

Research Article. A query oriented implementation of a topologic data structure for 3-dimensional vector maps

Autor: Martien Molenaar, John Stuiver, René Rikkers

Publikováno v: International journal of geographical information systems. 8:243-260

The conceptual Formal Data Structure of Molenaar (1990, 1992) for describing 3-dimensional (3-D) representations of terrain was implemented in a relational database model. It is shown how complex topologic relations among spatial objects can be analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42ec4eeec349eb67d770c23aa34ce7a4
https://doi.org/10.1080/02693799408901998