Zobrazeno 1 - 10
of 19
pro vyhledávání: '"J. Phillip King"'
Publikováno v:
2005 Annual Conference Proceedings.
Publikováno v:
Journal of Environmental Management. 278:111486
Increased flooding, droughts, and sediment transport are watershed-scale problems negatively impacting agriculture and ecosystems in drylands worldwide. Vegetation loss in upland watersheds is leading to scouring floods, which in turn decreases infil
Publikováno v:
Hydrological Processes. 28:6163-6171
Limited urban water supplies in southwestern USA cause water managers and planners to re-assess water losses and needs from consumptive water use by riparian vegetation. Here, we report on field measurements of evapotranspiration (ET) for inland salt
Autor:
J. Phillip King, Richard G. Luthy, Megan H. Plumlee, Heather N. Bischel, Vincent H. Resh, John E. McCray, A. Salim Bawazir, Justin E. Lawrence, Brian J. Halaburka
Publikováno v:
Environmental Engineering Science. 30:455-479
As demands for freshwater withdrawals continue to escalate in water-stressed regions, negative consequences of alterations to natural systems will become ever more severe. Habitat restoration projects may mitigate some of these challenges, but new st
Publikováno v:
JAWRA Journal of the American Water Resources Association. 48:10-23
Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10-23. DOI: 10.1111/j.1752-1
Publikováno v:
Journal of Hydrologic Engineering. 16:384-390
Monthly streamflow forecasting during spring-summer runoff season using snow telemetry (SNOTEL) precipitation and snow water equivalent (SWE) as predictors in the Rio Grande Headwaters Basin in Colorado was investigated. The transfer-function noise (
Publikováno v:
Science China Technological Sciences. 54:163-174
This study presented the application of partial least squares regression (PLSR) in estimating daily pan evaporation by utilizing the unique feature of PLSR in eliminating collinearity issues in predictor variables. The climate variables and daily pan
Publikováno v:
Journal of Hydrologic Engineering. 15:612-623
The application of partial least-squares regression (PLSR) in seasonal streamflow forecasting was investigated using snow water equivalent, precipitation, temperature from automatic Snow Telemetry sites, and previous flow conditions as input variable
Publikováno v:
Hydrological Processes. 24:3115-3118
Publikováno v:
Journal of Irrigation and Drainage Engineering. 136:317-325
This study used artificial neural networks (ANNs) computing technique for infilling missing daily saltcedar evapotranspiration (ET) as measured by the eddy-covariance method. The study site was at Bosque del Apache National Wildlife Refuge in the Mid