Spatial-Temporal Trend Analysis of Rainfall Erosivity and Erosivity Density of Tropical Area in Air Bengkulu Watershed, Indonesia
نویسندگان
چکیده
Abstract There have been many studies on rainfall erosivity and density (ED). However, it was not widely developed in Indonesia as a tropical country has unique precipitation patterns. They are indicators for assessing the potential risk of soil erosion. The Air Bengkulu Watershed is undergoing severe land degradation due to This study aimed analyze spatial-temporal ED based monthly data (mm). used consisted 19 weather stations during period 2006–2020 which sparsely distributed over watershed. analysis done by using Arnold's equation. Then, trend tested parametric non-parametric statistics, analysed with linear regression equation, Spearman's Rho Mann Kendall's tests. spatial distribution both algorithms inverse distance weighted (IDW) method geographic information system (GIS). Unlike previous research findings, long-term average revealed general increase decreasing trend, whereas found be non-significant when indices were observed. these results indicate range from 840.94 MJ · mm −1 ha h , 552.42 472.09 that November month followed December April most susceptible months Therefore, upstream area region shows various anthropogenic activities must managed properly taking into account environment more stringent measures should water conservation activities.
منابع مشابه
Evaluating the Spatial-Temporal Variations of Rainfall Erosivity and Erosivity Density (A Case Study: Menderjan Watershed, Isfahan Province)
Rainfall erosivity is one of the factors determining the amount of water erosion in the soil. Rainfall erosivity is determined by the total rainstorm energy and the maximum intensity in 30 minutes (I30). Since rainfall erosivity is closely related to the amount and intensity of rainfall, it is expected that the rainfall erosivity would change monthly and seasonally throughout the year. The mai...
متن کاملSpatial and temporal variability of rainfall erosivity factor for Switzerland
Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change. Despite its importance, rainfall erosivity is usually implemented in models with a low spatial and temporal resolution. The purpose of this study is to assess the temporaland spatial distribution of rainfall erosivity in form of the ...
متن کاملRainfall erosivity in Europe.
Rainfall is one the main drivers of soil erosion. The erosive force of rainfall is expressed as rainfall erosivity. Rainfall erosivity considers the rainfall amount and intensity, and is most commonly expressed as the R-factor in the USLE model and its revised version, RUSLE. At national and continental levels, the scarce availability of data obliges soil erosion modellers to estimate this fact...
متن کاملVariability of Rainfall Erosivity and Erosivity Density in the Ganjiang River Catchment, China: Characteristics and Influences of Climate Change
Soil erosion is one of the most critical environmental hazards in the world. Understanding the changes in rainfall erosivity (RE) and erosivity density (ED), as well as their affecting factors, at local and catchment scales in the context of climate warming is an important prerequisite of soil erosion prevention and soil loss risk assessment. The present study identified the variability and tre...
متن کاملRainfall erosivity in Italy: a national scale spatio-temporal assessment
Soil erosion by water is a serious threat for the Mediterranean region. Raindrop impacts and consequent runoff generation are the main driving forces of this geomorphic process of soil degradation. The potential ability for rainfall to cause soil loss is expressed as rainfall erosivity, a key parameter required by most soil loss prediction models. In Italy, rainfall erosivity measurements are l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quaestiones Geographicae
سال: 2021
ISSN: ['2081-6383', '2082-2103']
DOI: https://doi.org/10.2478/quageo-2021-0028