Xiaojing Ni

ORCID: 0000-0001-6696-4804
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Soil and Water Nutrient Dynamics
  • Hydrological Forecasting Using AI
  • Soil erosion and sediment transport
  • Hydrology and Sediment Transport Processes
  • Flood Risk Assessment and Management
  • Water Quality and Resources Studies
  • Groundwater flow and contamination studies
  • Chronic Lymphocytic Leukemia Research
  • Microplastics and Plastic Pollution
  • PI3K/AKT/mTOR signaling in cancer
  • Groundwater and Isotope Geochemistry
  • Environmental Changes in China
  • Biochemical and Molecular Research
  • Aquatic Ecosystems and Phytoplankton Dynamics

Mississippi State University
2018-2021

Environmental Protection Agency
2020-2021

ORCID
2021

Oak Ridge Institute for Science and Education
2020-2021

Research Triangle Park Foundation
2020

Yangtze River Pharmaceutical Group (China)
2018

Hydrologic model intercomparison studies help to evaluate the agility of models simulate variables such as streamflow, evaporation, and soil moisture. This study is third in a sequence Great Lakes Runoff Intercomparison Projects. The densely populated Lake Erie watershed studied here an important international lake that has experienced recent flooding shoreline erosion alongside excessive nutrient loads have contributed eutrophication. Understanding sources pathways flows critical solve...

10.1061/(asce)he.1943-5584.0002097 article EN Journal of Hydrologic Engineering 2021-06-30

The discovery and optimization of a series 2-morpholino-pyrimidine derivatives containing various sulfonyl side chains at the C4 position led to identification compound 26 as potent dual PI3K/mTOR inhibitor. It exhibited high inhibitory activity against PI3Kα/β/γ/δ (IC50 = 20/376/204/46 nM) mTOR 189 nM), functional suppression AKT phosphorylation 196 excellent antiproliferative effects on panel cancer cells. Enzymic data modeling simulation indicate that cyclopropyl ring sulfone chain...

10.1021/acsmedchemlett.8b00167 article EN ACS Medicinal Chemistry Letters 2018-06-25

<abstract> <b>Abstract.</b> Water quality pollutants, which may be generated due to point and non-point sources (e.g. agricultural activities), can affect both surface water groundwater resources. The objective of this study is assess the effects management practices on using Soil Assessment Tool (SWAT) MODFLOW models in Big Sunflower River Watershed (BSRW) Mississippi. model, was used simulate flow with boundary, recharge HRUs calculated from SWAT model. A coupled SWAT-MODFLOW model applied...

10.13031/aim.20152188742 article EN 2015 ASABE International Meeting 2015-07-26

Two comprehensive agricultural watershed-scale hydrological models: Soil and Water Assessment Tool (SWAT), Annualized Agricultural Non-Point Source Pollution Model (AnnAGNPS), have been widely used for evaluating Best Management Practice (BMP). In this study, models were developed the Big Sunflower River Watershed (BSRW) in Mississippi, USA. Both successfully calibrated validated predicting monthly stream flow discharges from three USGS gages (Merigold, Sunflower, Leland) within BSRW. The...

10.7176/jees/11-1-03 article EN cc-by Journal of environment and earth science 2021-01-01

<b><sc>Abstract.</sc></b> <b>Best management practice (BMP) is a conservational way to prevent non-point source pollution, soil, and water loss from agricultural watersheds. In this study, three BMPs including tail recovery system were evaluated. Satellite imagery analysis was used detect potential ponds within the watershed. Soil assessment tool (SWAT) simulate watershed processes. The model calibrated with R<sup>2</sup> of 0.59 NSE using 15 years monthly stream flow observations validated...

10.13031/aim.201800130 article EN 2018 Detroit, Michigan July 29 - August 1, 2018 2018-01-01

Two comprehensive agricultural watershed-scale hydrological models: Soil and Water Assessment Tool (SWAT), Annualized Agricultural Non-Point Source Pollution Model (AnnAGNPS), have been widely used for evaluating Best Management Practice (BMP). In this study, models were developed the Big Sunflower River Watershed (BSRW) in Mississippi, USA. Both successfully calibrated validated predicting monthly stream flow discharges from three USGS gages (Merigold, Sunflower, Leland) within BSRW. The...

10.7176/jep/12-3-03 article EN cc-by Journal of Education and Practice 2021-01-01
Coming Soon ...