| Summary: | 碩士 === 國立中興大學 === 水土保持學類 === 84 === In recent years,intense development on steep slopes has resulted
inrapid erosion and induced environment deterioration. Thorough
assessmentof soil erosion problem is, therefore, necessary to
ensure proper slopelanddevelopment and appropriate soil and
water conservation practices.Some soil erosion predition models,
such as USLE and AGNPS have been appliedto evaluate the soil
erosion on slopeland. However, these models raise theequation of
what must be done to adapt them to Taiwan.The Revised Universal
Soil Loss Equation (RUSLE) is a new soil erosion
preditiontechnology and is developed to extend the applicability
of USLE. RUSLE is a computersoftware and every factor of RUSLE
incorporates new data, new parameters that havebeen found to
have an impact on erosion, and new empirical relationships to
reflectthose impacts.The suitability of applying RUSLE model in
Taiwan also need to be validated.The objective of this study is
to evaluate the capability of RUSLE in predicting soilerosion on
hillslope. The soil loss predicted by the RUSLE was validated
with datacollected from field experiments conducted at Yuchih
Tea experiment station.The results indicated that RUSLE was able
to adequately predict soil loss on hillslope.In the initial
factors, for example C factor and P factor, a large database and
inputof a new field practice must be constructed. These can be
used for hillside and benchterrace on Taiwan's conservation
practices. The more exact the input data, the moreaccurate is
the result.The city, crop, and management database at Yuchih Tea
experiment station have beenconstructed. The preliminary
research results are:the R index is 756 and is
approximatelyequal to 0.85 times to USLE's R index. The C values
range from 0.14 to 0.04 for the 1-yearto 10-years' old Assam tea
plants.
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