Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Janardan Mainali"'
Autor:
Janardan Mainali, Heejun Chang
Publikováno v:
Environmental and Sustainability Indicators, Vol 9, Iss , Pp 100096- (2021)
Various spatial interrelationships among sampling stations are not well explored in the spatial modeling of water quality literature. This research explores the relationship between water quality and various social, demographic, and topographic facto
Externí odkaz:
https://doaj.org/article/a3056f082f0f4008aa78d94a347bba82
Autor:
Janardan Mainali, Narcisa G. Pricope
Publikováno v:
Data in Brief, Vol 12, Iss C, Pp 459-462 (2017)
We present a geographic information system (GIS) dataset with a nominal spatial resolution of one-kilometer composed of grid polygons originally derived and utilized in a high-resolution climate vulnerability model for Nepal. The different data sets
Externí odkaz:
https://doaj.org/article/d218e93f2a7f484c93d92129e51039a0
Publikováno v:
Mountain Research and Development, Vol 35, Iss 1, Pp 66-77 (2015)
Climate changes are having dramatic ecological impacts in mid- to high-latitude mountain ranges where growth conditions are limited by climatic variables such as duration of growing season, moisture, and ambient temperature. We document patterns of f
Externí odkaz:
https://doaj.org/article/bc0c395ba36d4c22a5ee4231797192a1
We developed a novel spatial stream network geographically weighted regression (SSN-GWR) by incorporating stream-distance metrics into GWR. The model was tested for predicting seasonal total nitrogen (TN) and total suspended solids (TSS) concentratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85bc1aaa0bacb4b8da5c5f2129e8ad65
Publikováno v:
Progress in Physical Geography: Earth and Environment. 43:801-826
We review different regression models related to water quality that incorporate spatial aspects in their model. Spatial aspects refer to the location of different sites and are usually characterized by the distance between different points and direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40a8dbf27d0c7a0595c559e57bcb3e93
https://doi.org/10.1177/0309133319852003
https://doi.org/10.1177/0309133319852003
Publikováno v:
Aquatic Botany. 180:103529
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8ea5e3a0bea40decc9af77a812adc8
https://doi.org/10.1016/j.aquabot.2022.103529
https://doi.org/10.1016/j.aquabot.2022.103529
Autor:
Ripu M. Kunwar, Bhagawat Rimal, Rainer W. Bussmann, Janardan Mainali, Aaron Evans, Abdul S. Ansari
Publikováno v:
Environment, Development and Sustainability. 22:1397-1412
The study of vegetation and land-use change has been frequently used to assess the anthropogenic impacts on the distribution and uses of medicinal plant species. Using data from ecological investigations, remote sensing and participant observations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a935b72c8e56b282cd1273dfec8d930b
https://doi.org/10.1007/s10668-018-0254-4
https://doi.org/10.1007/s10668-018-0254-4
Autor:
Janardan Mainali, Narcisa G. Pricope
Publikováno v:
Climate and Development. 11:607-622
For effective development and adaptation interventions in resource-poor regions to take place, it is critical to identify, at the highest spatial scale possible, regions of higher priority based on current needs and vulnerabilities. The index-based a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb7576533e1661e0fa3663f58e429b3
https://doi.org/10.1080/17565529.2018.1521329
https://doi.org/10.1080/17565529.2018.1521329
Autor:
Janardan Mainali, Heejun Chang
Publikováno v:
Journal of Hydrology. 564:26-40
Understanding changes in water quality over time and landscape and anthropogenic factors affecting them are of paramount importance to human and ecosystem health. We analyzed the seasonal trends of total nitrogen, total phosphorus, chemical oxygen de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e129c915762c125eefd92dcb74f2dbb1
https://doi.org/10.1016/j.jhydrol.2018.06.074
https://doi.org/10.1016/j.jhydrol.2018.06.074