Janardan Mainali
Biographic Data
| ID | 1341151 |
|---|---|
| NAME | Janardan Mainali |
| GIVEN NAMES | Janardan |
| FAMILY NAME | Mainali |
| SIGNATURE | MAINALI J |
| AFFILIATIONS | Portland State University |
| ORCID | 0000-0002-0327-2891 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships
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) concentrations in relation to watershed characteristics for 108 sites in the Han River Basin, South Korea. The SSN-GWR model was run with the average seasonal water quality parameters from 2012 through 2016 and w…
Putting space into modeling landscape and water quality relationships in the Han River basin, South Korea
Change in forest and vegetation cover influencing distribution and uses of plants in the Kailash Sacred Landscape, Nepal
Responses of Montane Forest to Climate Variability in the Central Himalayas of Nepal
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 forest vegetative response for 5 major alpine forest communities to current climate variability in the central Himalayas of Nepal to provide a baseline for assessment of future changes, as well as offe…
Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships
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) concentrations in relation to watershed characteristics for 108 sites in the Han River Basin, South Korea. The SSN-GWR model was run with the average seasonal water quality parameters from 2012 through 2016 and w…
Responses of Montane Forest to Climate Variability in the Central Himalayas of Nepal
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 forest vegetative response for 5 major alpine forest communities to current climate variability in the central Himalayas of Nepal to provide a baseline for assessment of future changes, as well as offe…
Putting space into modeling landscape and water quality relationships in the Han River basin, South Korea
Change in forest and vegetation cover influencing distribution and uses of plants in the Kailash Sacred Landscape, Nepal
Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships
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) concentrations in relation to watershed characteristics for 108 sites in the Han River Basin, South Korea. The SSN-GWR model was run with the average seasonal water quality parameters from 2012 through 2016 and w…
Ecology (4 works) · Environmental Science (4 works) · Geography (4 works) · Physical geography (3 works) · Biology (2 works) · Climate change (2 works) · Ecology and Vegetation Dynamics Studies (2 works) · Geology (2 works) · Mathematics (2 works) · Normalized Difference Vegetation Index (2 works)