Hydrologic classification of Tanzanian rivers to support national water resource policy
Classifying rivers into homogeneous categories based on hydrological and/or environmental attributes supports the implementation of environmental flows to sustain aquatic ecosystems and support the resource needs of society. Hydrological classifications provide decision‐makers with a pragmatic numbe...
Gespeichert in:
Veröffentlicht in: | Ecohydrology 2021-06, Vol.14 (4), p.n/a |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 4 |
container_start_page | |
container_title | Ecohydrology |
container_volume | 14 |
creator | Olden, Julian D. Messager, Mathis L. Tharme, Rebecca E. Kashaigili, Japhet J. Munkyala, David Zielinski, Lauren Warner, Andrew |
description | Classifying rivers into homogeneous categories based on hydrological and/or environmental attributes supports the implementation of environmental flows to sustain aquatic ecosystems and support the resource needs of society. Hydrological classifications provide decision‐makers with a pragmatic number of water management units by grouping individual rivers or river segments expected to exhibit similar biophysical responses to flow alteration. Such classifications are particularly useful across broad geographies and in data‐limited contexts, such as in Tanzania, where the legal requirement to implement environmental flows for all major waterbodies remains constrained by scant data. We present a two‐level hydrological classification of all Tanzanian basins and the Rufiji River Basin. For the Rufiji River Basin, the largest river basin in the country, we performed an inductive classification based on the availability of long‐term time series of daily average discharge. We clustered 28 gauging stations into seven classes according to ecologically relevant hydrological metrics and used boosted classification trees to predict the hydrological class of all 95,909 river segments in the basin based on environmental attributes that influence flow regimes. In the absence of consistent, readily‐available gauged flow data, we conducted a deductive classification of all Tanzanian rivers whereby segments were directly grouped by multivariate similarity using the same environmental attributes. This analysis revealed 10 river classes reflecting the diversity of ecohydrological conditions characterizing the 486,681 river segments draining in and out of Tanzania. The new hydrological classifications presented here provide the foundation to guide implementation of management practices within the water policy framework of Tanzania. |
doi_str_mv | 10.1002/eco.2282 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04041631v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2544214537</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3612-991d42b67e603d2e00fa039c54c9abadf871256a80d5f1bbe2ae23e1504d9a613</originalsourceid><addsrcrecordid>eNp10E1Lw0AQBuBFFKxV8CcseNFD6n5lmxxLaa1Q6KXicZlsNrolZuNu2hJ_vUkjvXmaYXgYZl6E7imZUELYs9FuwljCLtCIplxGJE7Z5blPxDW6CWFHiKQi5iP0vmpz70r3YTXWJYRgC6uhsa7CrsBbqH6gslBhbw_GB9w4HPZ17XyDq5OCEh-hMR57E9zea4NrV1rd3qKrAspg7v7qGL0tF9v5KlpvXl7ns3WkuaQsSlOaC5bJqZGE58wQUgDhqY6FTiGDvEimlMUSEpLHBc0yw8AwbmhMRJ6CpHyMnoa9n1Cq2tsv8K1yYNVqtlb9jAgiqOT00NuHwdbefe9NaNSuO7l7ISgWC8H6RKadehyU9i4Eb4rzWkpUH7HqIlZ9xB2NBnq0pWn_dWox35z8L8OTfKw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2544214537</pqid></control><display><type>article</type><title>Hydrologic classification of Tanzanian rivers to support national water resource policy</title><source>Wiley Online Library All Journals</source><creator>Olden, Julian D. ; Messager, Mathis L. ; Tharme, Rebecca E. ; Kashaigili, Japhet J. ; Munkyala, David ; Zielinski, Lauren ; Warner, Andrew</creator><creatorcontrib>Olden, Julian D. ; Messager, Mathis L. ; Tharme, Rebecca E. ; Kashaigili, Japhet J. ; Munkyala, David ; Zielinski, Lauren ; Warner, Andrew</creatorcontrib><description>Classifying rivers into homogeneous categories based on hydrological and/or environmental attributes supports the implementation of environmental flows to sustain aquatic ecosystems and support the resource needs of society. Hydrological classifications provide decision‐makers with a pragmatic number of water management units by grouping individual rivers or river segments expected to exhibit similar biophysical responses to flow alteration. Such classifications are particularly useful across broad geographies and in data‐limited contexts, such as in Tanzania, where the legal requirement to implement environmental flows for all major waterbodies remains constrained by scant data. We present a two‐level hydrological classification of all Tanzanian basins and the Rufiji River Basin. For the Rufiji River Basin, the largest river basin in the country, we performed an inductive classification based on the availability of long‐term time series of daily average discharge. We clustered 28 gauging stations into seven classes according to ecologically relevant hydrological metrics and used boosted classification trees to predict the hydrological class of all 95,909 river segments in the basin based on environmental attributes that influence flow regimes. In the absence of consistent, readily‐available gauged flow data, we conducted a deductive classification of all Tanzanian rivers whereby segments were directly grouped by multivariate similarity using the same environmental attributes. This analysis revealed 10 river classes reflecting the diversity of ecohydrological conditions characterizing the 486,681 river segments draining in and out of Tanzania. The new hydrological classifications presented here provide the foundation to guide implementation of management practices within the water policy framework of Tanzania.</description><identifier>ISSN: 1936-0584</identifier><identifier>EISSN: 1936-0592</identifier><identifier>DOI: 10.1002/eco.2282</identifier><language>eng</language><publisher>Oxford: Wiley Subscription Services, Inc</publisher><subject>Aquatic ecosystems ; Classification ; Discharge measurement ; Drainage ; Ecohydrology ; environmental flow ; Environmental Sciences ; Flow alteration ; flow regime ; Gaging stations ; hydrologic classification ; Hydrologic data ; Hydrology ; reserve ; River basins ; Rivers ; Rufiji River basin ; Segments ; Strategic management ; Stream discharge ; Tanzania ; Water management ; Water policies ; Water policy ; Water resources</subject><ispartof>Ecohydrology, 2021-06, Vol.14 (4), p.n/a</ispartof><rights>2021 John Wiley & Sons, Ltd.</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3612-991d42b67e603d2e00fa039c54c9abadf871256a80d5f1bbe2ae23e1504d9a613</citedby><cites>FETCH-LOGICAL-c3612-991d42b67e603d2e00fa039c54c9abadf871256a80d5f1bbe2ae23e1504d9a613</cites><orcidid>0000-0003-2143-1187 ; 0000-0002-3051-8068 ; 0000-0002-0373-6174 ; 0000-0001-5789-1316</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Feco.2282$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Feco.2282$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://hal.inrae.fr/hal-04041631$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Olden, Julian D.</creatorcontrib><creatorcontrib>Messager, Mathis L.</creatorcontrib><creatorcontrib>Tharme, Rebecca E.</creatorcontrib><creatorcontrib>Kashaigili, Japhet J.</creatorcontrib><creatorcontrib>Munkyala, David</creatorcontrib><creatorcontrib>Zielinski, Lauren</creatorcontrib><creatorcontrib>Warner, Andrew</creatorcontrib><title>Hydrologic classification of Tanzanian rivers to support national water resource policy</title><title>Ecohydrology</title><description>Classifying rivers into homogeneous categories based on hydrological and/or environmental attributes supports the implementation of environmental flows to sustain aquatic ecosystems and support the resource needs of society. Hydrological classifications provide decision‐makers with a pragmatic number of water management units by grouping individual rivers or river segments expected to exhibit similar biophysical responses to flow alteration. Such classifications are particularly useful across broad geographies and in data‐limited contexts, such as in Tanzania, where the legal requirement to implement environmental flows for all major waterbodies remains constrained by scant data. We present a two‐level hydrological classification of all Tanzanian basins and the Rufiji River Basin. For the Rufiji River Basin, the largest river basin in the country, we performed an inductive classification based on the availability of long‐term time series of daily average discharge. We clustered 28 gauging stations into seven classes according to ecologically relevant hydrological metrics and used boosted classification trees to predict the hydrological class of all 95,909 river segments in the basin based on environmental attributes that influence flow regimes. In the absence of consistent, readily‐available gauged flow data, we conducted a deductive classification of all Tanzanian rivers whereby segments were directly grouped by multivariate similarity using the same environmental attributes. This analysis revealed 10 river classes reflecting the diversity of ecohydrological conditions characterizing the 486,681 river segments draining in and out of Tanzania. The new hydrological classifications presented here provide the foundation to guide implementation of management practices within the water policy framework of Tanzania.</description><subject>Aquatic ecosystems</subject><subject>Classification</subject><subject>Discharge measurement</subject><subject>Drainage</subject><subject>Ecohydrology</subject><subject>environmental flow</subject><subject>Environmental Sciences</subject><subject>Flow alteration</subject><subject>flow regime</subject><subject>Gaging stations</subject><subject>hydrologic classification</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>reserve</subject><subject>River basins</subject><subject>Rivers</subject><subject>Rufiji River basin</subject><subject>Segments</subject><subject>Strategic management</subject><subject>Stream discharge</subject><subject>Tanzania</subject><subject>Water management</subject><subject>Water policies</subject><subject>Water policy</subject><subject>Water resources</subject><issn>1936-0584</issn><issn>1936-0592</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp10E1Lw0AQBuBFFKxV8CcseNFD6n5lmxxLaa1Q6KXicZlsNrolZuNu2hJ_vUkjvXmaYXgYZl6E7imZUELYs9FuwljCLtCIplxGJE7Z5blPxDW6CWFHiKQi5iP0vmpz70r3YTXWJYRgC6uhsa7CrsBbqH6gslBhbw_GB9w4HPZ17XyDq5OCEh-hMR57E9zea4NrV1rd3qKrAspg7v7qGL0tF9v5KlpvXl7ns3WkuaQsSlOaC5bJqZGE58wQUgDhqY6FTiGDvEimlMUSEpLHBc0yw8AwbmhMRJ6CpHyMnoa9n1Cq2tsv8K1yYNVqtlb9jAgiqOT00NuHwdbefe9NaNSuO7l7ISgWC8H6RKadehyU9i4Eb4rzWkpUH7HqIlZ9xB2NBnq0pWn_dWox35z8L8OTfKw</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Olden, Julian D.</creator><creator>Messager, Mathis L.</creator><creator>Tharme, Rebecca E.</creator><creator>Kashaigili, Japhet J.</creator><creator>Munkyala, David</creator><creator>Zielinski, Lauren</creator><creator>Warner, Andrew</creator><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>L.G</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-2143-1187</orcidid><orcidid>https://orcid.org/0000-0002-3051-8068</orcidid><orcidid>https://orcid.org/0000-0002-0373-6174</orcidid><orcidid>https://orcid.org/0000-0001-5789-1316</orcidid></search><sort><creationdate>202106</creationdate><title>Hydrologic classification of Tanzanian rivers to support national water resource policy</title><author>Olden, Julian D. ; Messager, Mathis L. ; Tharme, Rebecca E. ; Kashaigili, Japhet J. ; Munkyala, David ; Zielinski, Lauren ; Warner, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3612-991d42b67e603d2e00fa039c54c9abadf871256a80d5f1bbe2ae23e1504d9a613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aquatic ecosystems</topic><topic>Classification</topic><topic>Discharge measurement</topic><topic>Drainage</topic><topic>Ecohydrology</topic><topic>environmental flow</topic><topic>Environmental Sciences</topic><topic>Flow alteration</topic><topic>flow regime</topic><topic>Gaging stations</topic><topic>hydrologic classification</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>reserve</topic><topic>River basins</topic><topic>Rivers</topic><topic>Rufiji River basin</topic><topic>Segments</topic><topic>Strategic management</topic><topic>Stream discharge</topic><topic>Tanzania</topic><topic>Water management</topic><topic>Water policies</topic><topic>Water policy</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olden, Julian D.</creatorcontrib><creatorcontrib>Messager, Mathis L.</creatorcontrib><creatorcontrib>Tharme, Rebecca E.</creatorcontrib><creatorcontrib>Kashaigili, Japhet J.</creatorcontrib><creatorcontrib>Munkyala, David</creatorcontrib><creatorcontrib>Zielinski, Lauren</creatorcontrib><creatorcontrib>Warner, Andrew</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Ecohydrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olden, Julian D.</au><au>Messager, Mathis L.</au><au>Tharme, Rebecca E.</au><au>Kashaigili, Japhet J.</au><au>Munkyala, David</au><au>Zielinski, Lauren</au><au>Warner, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrologic classification of Tanzanian rivers to support national water resource policy</atitle><jtitle>Ecohydrology</jtitle><date>2021-06</date><risdate>2021</risdate><volume>14</volume><issue>4</issue><epage>n/a</epage><issn>1936-0584</issn><eissn>1936-0592</eissn><abstract>Classifying rivers into homogeneous categories based on hydrological and/or environmental attributes supports the implementation of environmental flows to sustain aquatic ecosystems and support the resource needs of society. Hydrological classifications provide decision‐makers with a pragmatic number of water management units by grouping individual rivers or river segments expected to exhibit similar biophysical responses to flow alteration. Such classifications are particularly useful across broad geographies and in data‐limited contexts, such as in Tanzania, where the legal requirement to implement environmental flows for all major waterbodies remains constrained by scant data. We present a two‐level hydrological classification of all Tanzanian basins and the Rufiji River Basin. For the Rufiji River Basin, the largest river basin in the country, we performed an inductive classification based on the availability of long‐term time series of daily average discharge. We clustered 28 gauging stations into seven classes according to ecologically relevant hydrological metrics and used boosted classification trees to predict the hydrological class of all 95,909 river segments in the basin based on environmental attributes that influence flow regimes. In the absence of consistent, readily‐available gauged flow data, we conducted a deductive classification of all Tanzanian rivers whereby segments were directly grouped by multivariate similarity using the same environmental attributes. This analysis revealed 10 river classes reflecting the diversity of ecohydrological conditions characterizing the 486,681 river segments draining in and out of Tanzania. The new hydrological classifications presented here provide the foundation to guide implementation of management practices within the water policy framework of Tanzania.</abstract><cop>Oxford</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/eco.2282</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-2143-1187</orcidid><orcidid>https://orcid.org/0000-0002-3051-8068</orcidid><orcidid>https://orcid.org/0000-0002-0373-6174</orcidid><orcidid>https://orcid.org/0000-0001-5789-1316</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1936-0584 |
ispartof | Ecohydrology, 2021-06, Vol.14 (4), p.n/a |
issn | 1936-0584 1936-0592 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_04041631v1 |
source | Wiley Online Library All Journals |
subjects | Aquatic ecosystems Classification Discharge measurement Drainage Ecohydrology environmental flow Environmental Sciences Flow alteration flow regime Gaging stations hydrologic classification Hydrologic data Hydrology reserve River basins Rivers Rufiji River basin Segments Strategic management Stream discharge Tanzania Water management Water policies Water policy Water resources |
title | Hydrologic classification of Tanzanian rivers to support national water resource policy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T00%3A18%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hydrologic%20classification%20of%20Tanzanian%20rivers%20to%20support%20national%20water%20resource%20policy&rft.jtitle=Ecohydrology&rft.au=Olden,%20Julian%20D.&rft.date=2021-06&rft.volume=14&rft.issue=4&rft.epage=n/a&rft.issn=1936-0584&rft.eissn=1936-0592&rft_id=info:doi/10.1002/eco.2282&rft_dat=%3Cproquest_hal_p%3E2544214537%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2544214537&rft_id=info:pmid/&rfr_iscdi=true |