Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region

The annual mean rainfall erosivity (R) indicates the potential soil loss caused by the precipitation and runoff and is used to predict the soil loss from agricultural hillslopes. R is calculated from rainfall stations with continuously recording rainfall databases. However, many short-term real-time...

Full description

Saved in:
Bibliographic Details
Published in:Soil and water research 2021-06, Vol.16 (2), p.74-84
Main Authors: Lee, Ming-Hsi, Hsu, I-Ping
Format: Article
Language:English
Subjects:
Accumulation
Annual rainfall
climate change
Deforestation
Drought
Kinetic energy
Mathematical analysis
Rainfall
Rainfall intensity
Runoff
Soil erosion
Stations
Tropical environment
Tropical environments
universal soil loss equation (usle)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23
cites cdi_FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23
container_end_page 84
container_issue 2
container_start_page 74
container_title Soil and water research
container_volume 16
creator Lee, Ming-Hsi
Hsu, I-Ping
description The annual mean rainfall erosivity (R) indicates the potential soil loss caused by the precipitation and runoff and is used to predict the soil loss from agricultural hillslopes. R is calculated from rainfall stations with continuously recording rainfall databases. However, many short-term real-time rainfall databases that also relate to the rainfall intensity are not readily available around Taiwan, with the hourly rainfall data being predominantly available. The annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation converted to the 30-min rainfall data (R10_30) can be estimated using the annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation convert to the hourly rainfall data (R10_60) that are calculated from the kinetic energy calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (E60j). The maximum 60-min rainfall intensity calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (I60j) has been established in rainfall stations throughout southern Taiwan. The 10-min rainfall data set consists of 15 221 storm events from 2002 to 2017 monitored by 51 rainfall stations located in the tropical regions in Taiwan. According to the results of this study, the average conversion factors of the kinetic energy (1.04), rainfall erosivity (1.47), and annual mean rainfall erosivity (1.30) could be estimated based on the 10-min rainfall data.
doi_str_mv 10.17221/25/2020-SWR
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_e2e438e599214cd1af95279bb0a5aca1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e2e438e599214cd1af95279bb0a5aca1</doaj_id><sourcerecordid>2519660484</sourcerecordid><originalsourceid>FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23</originalsourceid><addsrcrecordid>eNpFkU1LAzEQhoMoWLQ3f0DAq2szs585SqlaKAh-4DHMJtk2Zd3U7FbsvzdtRQ9JhvDwJDMvY1cgbqFEhAnmExQokpf35xM2gkrkiUyr7PRQQ5KnMj9n475fCyFAokgrMWJm1g_ugwbnO-4bPqwsp67bUssDua6htuU2-N59uWHHXWfsN6-pt4ZHfuW3od39g4YGigwnPgS_cXovsctovmRnEejt-Pe8YG_3s9fpY7J4ephP7xaJRsCQIDRFCRkJA7rBptQ6ayota1MVYEzcM2FRVwZtBgL3qyak0qYirWVpML1g86PXeFqrTYiNhZ3y5NThwoelojA43VployStbC4lQqYNUCNzLGVdC8pJE0TX9dG1Cf5za_tBrWO7Xfy-whxkUYisyiJ1c6R0HFIfbPP3Kgh1iCXSah-LirGkPwxdf7c</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2519660484</pqid></control><display><type>article</type><title>Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region</title><source>Publicly Available Content Database</source><creator>Lee, Ming-Hsi ; Hsu, I-Ping</creator><creatorcontrib>Lee, Ming-Hsi ; Hsu, I-Ping</creatorcontrib><description>The annual mean rainfall erosivity (R) indicates the potential soil loss caused by the precipitation and runoff and is used to predict the soil loss from agricultural hillslopes. R is calculated from rainfall stations with continuously recording rainfall databases. However, many short-term real-time rainfall databases that also relate to the rainfall intensity are not readily available around Taiwan, with the hourly rainfall data being predominantly available. The annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation converted to the 30-min rainfall data (R10_30) can be estimated using the annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation convert to the hourly rainfall data (R10_60) that are calculated from the kinetic energy calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (E60j). The maximum 60-min rainfall intensity calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (I60j) has been established in rainfall stations throughout southern Taiwan. The 10-min rainfall data set consists of 15 221 storm events from 2002 to 2017 monitored by 51 rainfall stations located in the tropical regions in Taiwan. According to the results of this study, the average conversion factors of the kinetic energy (1.04), rainfall erosivity (1.47), and annual mean rainfall erosivity (1.30) could be estimated based on the 10-min rainfall data.</description><identifier>ISSN: 1801-5395</identifier><identifier>EISSN: 1805-9384</identifier><identifier>DOI: 10.17221/25/2020-SWR</identifier><language>eng</language><publisher>Prague: Czech Academy of Agricultural Sciences (CAAS)</publisher><subject>Accumulation ; Annual rainfall ; climate change ; Deforestation ; Drought ; Kinetic energy ; Mathematical analysis ; Rainfall ; Rainfall intensity ; Runoff ; Soil erosion ; Stations ; Tropical environment ; Tropical environments ; universal soil loss equation (usle)</subject><ispartof>Soil and water research, 2021-06, Vol.16 (2), p.74-84</ispartof><rights>2021. This work is published under https://www.agriculturejournals.cz/web/about/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23</citedby><cites>FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2519660484?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Lee, Ming-Hsi</creatorcontrib><creatorcontrib>Hsu, I-Ping</creatorcontrib><title>Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region</title><title>Soil and water research</title><description>The annual mean rainfall erosivity (R) indicates the potential soil loss caused by the precipitation and runoff and is used to predict the soil loss from agricultural hillslopes. R is calculated from rainfall stations with continuously recording rainfall databases. However, many short-term real-time rainfall databases that also relate to the rainfall intensity are not readily available around Taiwan, with the hourly rainfall data being predominantly available. The annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation converted to the 30-min rainfall data (R10_30) can be estimated using the annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation convert to the hourly rainfall data (R10_60) that are calculated from the kinetic energy calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (E60j). The maximum 60-min rainfall intensity calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (I60j) has been established in rainfall stations throughout southern Taiwan. The 10-min rainfall data set consists of 15 221 storm events from 2002 to 2017 monitored by 51 rainfall stations located in the tropical regions in Taiwan. According to the results of this study, the average conversion factors of the kinetic energy (1.04), rainfall erosivity (1.47), and annual mean rainfall erosivity (1.30) could be estimated based on the 10-min rainfall data.</description><subject>Accumulation</subject><subject>Annual rainfall</subject><subject>climate change</subject><subject>Deforestation</subject><subject>Drought</subject><subject>Kinetic energy</subject><subject>Mathematical analysis</subject><subject>Rainfall</subject><subject>Rainfall intensity</subject><subject>Runoff</subject><subject>Soil erosion</subject><subject>Stations</subject><subject>Tropical environment</subject><subject>Tropical environments</subject><subject>universal soil loss equation (usle)</subject><issn>1801-5395</issn><issn>1805-9384</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpFkU1LAzEQhoMoWLQ3f0DAq2szs585SqlaKAh-4DHMJtk2Zd3U7FbsvzdtRQ9JhvDwJDMvY1cgbqFEhAnmExQokpf35xM2gkrkiUyr7PRQQ5KnMj9n475fCyFAokgrMWJm1g_ugwbnO-4bPqwsp67bUssDua6htuU2-N59uWHHXWfsN6-pt4ZHfuW3od39g4YGigwnPgS_cXovsctovmRnEejt-Pe8YG_3s9fpY7J4ephP7xaJRsCQIDRFCRkJA7rBptQ6ayota1MVYEzcM2FRVwZtBgL3qyak0qYirWVpML1g86PXeFqrTYiNhZ3y5NThwoelojA43VployStbC4lQqYNUCNzLGVdC8pJE0TX9dG1Cf5za_tBrWO7Xfy-whxkUYisyiJ1c6R0HFIfbPP3Kgh1iCXSah-LirGkPwxdf7c</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Lee, Ming-Hsi</creator><creator>Hsu, I-Ping</creator><general>Czech Academy of Agricultural Sciences (CAAS)</general><general>Czech Academy of Agricultural Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>DOA</scope></search><sort><creationdate>20210601</creationdate><title>Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region</title><author>Lee, Ming-Hsi ; Hsu, I-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accumulation</topic><topic>Annual rainfall</topic><topic>climate change</topic><topic>Deforestation</topic><topic>Drought</topic><topic>Kinetic energy</topic><topic>Mathematical analysis</topic><topic>Rainfall</topic><topic>Rainfall intensity</topic><topic>Runoff</topic><topic>Soil erosion</topic><topic>Stations</topic><topic>Tropical environment</topic><topic>Tropical environments</topic><topic>universal soil loss equation (usle)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Ming-Hsi</creatorcontrib><creatorcontrib>Hsu, I-Ping</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Biological Science Journals</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Soil and water research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Ming-Hsi</au><au>Hsu, I-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region</atitle><jtitle>Soil and water research</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>74</spage><epage>84</epage><pages>74-84</pages><issn>1801-5395</issn><eissn>1805-9384</eissn><abstract>The annual mean rainfall erosivity (R) indicates the potential soil loss caused by the precipitation and runoff and is used to predict the soil loss from agricultural hillslopes. R is calculated from rainfall stations with continuously recording rainfall databases. However, many short-term real-time rainfall databases that also relate to the rainfall intensity are not readily available around Taiwan, with the hourly rainfall data being predominantly available. The annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation converted to the 30-min rainfall data (R10_30) can be estimated using the annual mean rainfall erosivity calculated by the 10-min rainfall data accumulation convert to the hourly rainfall data (R10_60) that are calculated from the kinetic energy calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (E60j). The maximum 60-min rainfall intensity calculated by the 10-min rainfall data accumulation converted to the hourly rainfall data (I60j) has been established in rainfall stations throughout southern Taiwan. The 10-min rainfall data set consists of 15 221 storm events from 2002 to 2017 monitored by 51 rainfall stations located in the tropical regions in Taiwan. According to the results of this study, the average conversion factors of the kinetic energy (1.04), rainfall erosivity (1.47), and annual mean rainfall erosivity (1.30) could be estimated based on the 10-min rainfall data.</abstract><cop>Prague</cop><pub>Czech Academy of Agricultural Sciences (CAAS)</pub><doi>10.17221/25/2020-SWR</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1801-5395
ispartof Soil and water research, 2021-06, Vol.16 (2), p.74-84
issn 1801-5395
1805-9384
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_e2e438e599214cd1af95279bb0a5aca1
source Publicly Available Content Database
subjects Accumulation
Annual rainfall
climate change
Deforestation
Drought
Kinetic energy
Mathematical analysis
Rainfall
Rainfall intensity
Runoff
Soil erosion
Stations
Tropical environment
Tropical environments
universal soil loss equation (usle)
title Estimation of the annual rainfall erosivity index based on hourly rainfall data in a tropical region
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T10%3A10%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimation%20of%20the%20annual%20rainfall%20erosivity%20index%20based%20on%20hourly%20rainfall%20data%20in%20a%20tropical%20region&rft.jtitle=Soil%20and%20water%20research&rft.au=Lee,%20Ming-Hsi&rft.date=2021-06-01&rft.volume=16&rft.issue=2&rft.spage=74&rft.epage=84&rft.pages=74-84&rft.issn=1801-5395&rft.eissn=1805-9384&rft_id=info:doi/10.17221/25/2020-SWR&rft_dat=%3Cproquest_doaj_%3E2519660484%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c212r-21f6714a0d1cf2f7cc4f8c9bd861ddd8640e2c8d2e41024102ba2a7e303b97d23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2519660484&rft_id=info:pmid/&rfr_iscdi=true