Premium
A COMPARISON OF METHODS OF ESTIMATING MEAN WATERSHED SLOPE 1
Author(s) -
Chang Mingteh,
Watters Steven P,
Sayok Alexander K
Publication year - 1989
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1989.tb03068.x
Subject(s) - watershed , contour line , circumference , hydrology (agriculture) , sampling (signal processing) , time of concentration , watershed area , geology , mathematics , geometry , geography , cartography , computer science , geotechnical engineering , filter (signal processing) , machine learning , computer vision
Ten topographic analysis methods were employed to estimate watershed mean slopes for 13 small forested watersheds (32 to 131 mi 2 ) in East Texas. Of the ten methods employed, the mean slope curve is the most accurate but also the most tedious and laborious one. The method can be simplified by measuring only the lengths of five contours and the areas between these contours within the watershed with little loss of its accuracy. Watershed slopes estimated by the contour length method, the grid contour method, the systematic slope sampling method, and the simplified contour length method are satisfactory for general purposes and relatively simple. The watershed circumference‐stream length method, the length‐width axis method, the Justin method, and the regression plane method are not suitable for estimating watershed slopes in East Texas without modification.