Zobrazeno 1 - 10
of 22
pro vyhledávání: '"RAYMOND M. RICE"'
Autor:
Raymond M. Rice
Publikováno v:
Journal of the American Water Resources Association. 35:1171-1182
Road-related erosion was estimated by measuring 100 randomly located plots on a 180 km road network in the middle reach of Redwood Creek in northwestern California. The estimated erosion rate of 177 m 3 km -1 was contrasted with two earlier studies i
Publikováno v:
The American journal of the medical sciences. 124(1)
Publikováno v:
The American journal of the medical sciences. 214(4)
Autor:
Raymond M. Rice, Jack Lewis
Publikováno v:
Journal of the American Water Resources Association. 27:809-818
Erosion resulting from logging and road building has long been a concern to forest managers and the general public. An objective methodology was developed to estimate erosion risk on forest roads and in harvest areas on private land in northwestern C
Autor:
Raymond M. Rice, Mark K. Neely
Publikováno v:
Environmental & Engineering Geoscience. :281-289
The risk of debris slides resulting from logging must often be appraised by foresters planning timber harvests. The Board of Forestry of the State of California commissioned the development of a Mass Movement Checklist to guide foresters making such
Autor:
Jack Lewis, Raymond M. Rice
Publikováno v:
Water Resources Research. 26:1721-1733
A population of 638 timber harvest areas in northwestern California was sampled for data related to the occurrence of critical amounts of erosion (>153 m3 within 0.81 ha). Separate analyses were done for forest roads and logged areas. Linear discrimi
Publikováno v:
Water Resources Research. 26:1657-1667
The effects of road building and selective tractor harvesting on storm runoff were assessed for a small (424 ha) coastal watershed in northern California. Road building alone did not significantly affect the storm runoff. After road building and logg
Autor:
Raymond M. Rice
Publikováno v:
Journal of the American Water Resources Association. 36:1441-1442
Autor:
Raymond M. Rice
Publikováno v:
Hydrological Sciences Bulletin. 17:315-321
Hydrologists often encounter analyses involving multiple dependent variables. Previously it had been suggested that canonical correlation might be used as a suitable multivariate analogue to multiple regression in such situations (Rice, 1967). Howeve