SSSushil Subedi
Sushil Subedi
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sushil Subedi has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Abinash Silwal
Space Technology for Earth Applications Project Group, Space Generation Advisory Council, 1030 Vienna, Austria
1 shared publication - Gaurav Parajuli
Department of Geography and Atmospheric Science, University of Kansas, Lawrence, KS 66045, USA
1 shared publication - Kutubuddin Ansari
Department of Geomatics Engineering, Karadeniz Technical University, Trabzon, Turkey
1 shared publication - Pradeep Gyawali1 shared publication
- Ramesh Rana1 shared publication
- Saurav Raj Khanal
Space Technology for Earth Applications Project Group, Space Generation Advisory Council, 1030 Vienna, Austria
1 shared publication
Latest Publications
- Open Access
- 9 September 2026
- Published by Elsevier in Evolving Earth
- Vol. 4
Assessment of historical and future land use land cover change and its impacts in the upper Bagmati River Basin using remote sensing and GIS
- 9 September 2026
- Published by Elsevier in Evolving Earth
- Vol. 4
Open AccessAssessment of historical and future land use land cover change and its impacts in the upper Bagmati River Basin using remote sensing and GIS
- Open Access
Effects of Riparian Land Use and Land Cover on Water Quality Along the Kansas River: Seasonal and Spatial Dynamics
Riparian land use and land cover (LULC) exerts scale- and season-dependent controls on surface water quality, yet its influence in regulated agricultural–urban rivers is poorly characterized. We combined seasonal t-tests, one-way ANOVA, and redundancy analysis (RDA) at three riparian buffer scales (500, 1000, and 2000 m) to examine discharge, dissolved oxygen (DO), temperature, turbidity, and pH at four USGS stations along the Kansas River mainstem (2019–2026). DO and temperature showed the strongest seasonal contrasts: DO was 3.1–3.7 mg/L higher in the dry season and temperature 13–15 °C higher in the wet season, a coupling central to aquatic habitat suitability. Turbidity rose significantly in the wet season, consistent with agricultural runoff and sediment mobilization, whereas discharge showed no significant seasonal difference at three of four stations, reflecting upstream reservoir regulation. Spatial ANOVA detected station-level differences only for wet-season DO (, ), which was lowest at the downstream urbanized station. RDA linked agricultural cover to turbidity and urban cover to reduced wet-season DO, although permutation tests were non-significant () at replicates. Seasonality and riparian LULC jointly shape water quality along this regulated river, and the 500 m buffer is the most spatially discriminating scale for land-cover assessment.Open AccessEffects of Riparian Land Use and Land Cover on Water Quality Along the Kansas River: Seasonal and Spatial Dynamics
Riparian land use and land cover (LULC) exerts scale- and season-dependent controls on surface water quality, yet its influence in regulated agricultural–urban rivers is poorly characterized. We combined seasonal t-tests, one-way ANOVA, and redundancy analysis (RDA) at three riparian buffer scales (500, 1000, and 2000 m) to examine discharge, dissolved oxygen (DO), temperature, turbidity, and pH at four USGS stations along the Kansas River mainstem (2019–2026). DO and temperature showed the strongest seasonal contrasts: DO was 3.1–3.7 mg/L higher in the dry season and temperature 13–15 °C higher in the wet season, a coupling central to aquatic habitat suitability. Turbidity rose significantly in the wet season, consistent with agricultural runoff and sediment mobilization, whereas discharge showed no significant seasonal difference at three of four stations, reflecting upstream reservoir regulation. Spatial ANOVA detected station-level differences only for wet-season DO (, ), which was lowest at the downstream urbanized station. RDA linked agricultural cover to turbidity and urban cover to reduced wet-season DO, although permutation tests were non-significant () at replicates. Seasonality and riparian LULC jointly shape water quality along this regulated river, and the 500 m buffer is the most spatially discriminating scale for land-cover assessment.