Open AccessRun off prediction by using small plots at teak forest, dry land and settlement areas in Pitu village, Ngawi, East Java
Author(s) -
Ambar Kusumandari,
Irma Pratiwi,
Susetyo Widiasmoro
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/449/1/012040
Subject(s) - surface runoff , hydrology (agriculture) , runoff curve number , environmental science , erosion , land use , land cover , correlation coefficient , forestry , geography , mathematics , geology , statistics , geotechnical engineering , ecology , paleontology , biology
Erosion is the process of soil movement from one place to another. The different amount of erosion that occurs in every land-use is caused by the difference of land cover in every land use. The purpose of this study is to find out the amount of erosion, the value of runoff and runoff coefficients, the correlation between rainfall and runoff, also the correlation between runoff and erosion which occurred in three different land use types. This research was conducted in Pitu Village on 3 different land uses, first in the teak forest land-use, second in yard land use, and third in the agriculture field land use. Small plots of 22 m × 4 m were applied to determine the erosion and the value of runoff. SeXI-FS software is used to describe the diagram profile of vegetation condition in each land use. The data were analyzed by using linier regression to determine the correlation between rainfall thickness and runoff, also the correlation between runoff and erosion using Sigma Plot software. The result shows that the largest runoff occured in settlement land (averaged: 95.96 mm) and the smallest runoff in dry land (11.85 mm in average). The largest runoff coefficient occurs in settlement land (averaged: 0.22) and the smallest runoff coefficient in dry land (averaged: 0.025). The runoff coefficient for each type of land use is included in the low category. Rainfall depth has a positive correlation with runoff. The greater the rainfall depth, the greater the runoff produced.