Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers

Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources pla...
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Autor*in:	Yazdian, Hamed [verfasserIn] Jaafarzadeh, Nematollah [verfasserIn] Zahraie, Banafsheh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Bio-diversity index Physicochemical parameter Genetic programming Margalef index

Übergeordnetes Werk:	Enthalten in: Journal of environmental health science & engineering - London : Springer Nature, 2012, 12(2014), 1 vom: 10. Jan.
Übergeordnetes Werk:	volume:12 ; year:2014 ; number:1 ; day:10 ; month:01

Links:	Volltext

DOI / URN:	10.1186/2052-336X-12-30

Katalog-ID:	SPR03385226X

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spelling	10.1186/2052-336X-12-30 doi (DE-627)SPR03385226X (SPR)2052-336X-12-30-e DE-627 ger DE-627 rakwb eng 610 624 ASE 58.51 bkl Yazdian, Hamed verfasserin aut Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known. Bio-diversity index (dpeaa)DE-He213 Physicochemical parameter (dpeaa)DE-He213 Genetic programming (dpeaa)DE-He213 Margalef index (dpeaa)DE-He213 Jaafarzadeh, Nematollah verfasserin aut Zahraie, Banafsheh verfasserin aut Enthalten in Journal of environmental health science & engineering London : Springer Nature, 2012 12(2014), 1 vom: 10. Jan. (DE-627)778376613 (DE-600)2756287-6 2052-336X nnns volume:12 year:2014 number:1 day:10 month:01 https://dx.doi.org/10.1186/2052-336X-12-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 58.51 ASE AR 12 2014 1 10 01
allfields_unstemmed	10.1186/2052-336X-12-30 doi (DE-627)SPR03385226X (SPR)2052-336X-12-30-e DE-627 ger DE-627 rakwb eng 610 624 ASE 58.51 bkl Yazdian, Hamed verfasserin aut Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known. Bio-diversity index (dpeaa)DE-He213 Physicochemical parameter (dpeaa)DE-He213 Genetic programming (dpeaa)DE-He213 Margalef index (dpeaa)DE-He213 Jaafarzadeh, Nematollah verfasserin aut Zahraie, Banafsheh verfasserin aut Enthalten in Journal of environmental health science & engineering London : Springer Nature, 2012 12(2014), 1 vom: 10. Jan. (DE-627)778376613 (DE-600)2756287-6 2052-336X nnns volume:12 year:2014 number:1 day:10 month:01 https://dx.doi.org/10.1186/2052-336X-12-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 58.51 ASE AR 12 2014 1 10 01
allfieldsGer	10.1186/2052-336X-12-30 doi (DE-627)SPR03385226X (SPR)2052-336X-12-30-e DE-627 ger DE-627 rakwb eng 610 624 ASE 58.51 bkl Yazdian, Hamed verfasserin aut Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known. Bio-diversity index (dpeaa)DE-He213 Physicochemical parameter (dpeaa)DE-He213 Genetic programming (dpeaa)DE-He213 Margalef index (dpeaa)DE-He213 Jaafarzadeh, Nematollah verfasserin aut Zahraie, Banafsheh verfasserin aut Enthalten in Journal of environmental health science & engineering London : Springer Nature, 2012 12(2014), 1 vom: 10. Jan. (DE-627)778376613 (DE-600)2756287-6 2052-336X nnns volume:12 year:2014 number:1 day:10 month:01 https://dx.doi.org/10.1186/2052-336X-12-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 58.51 ASE AR 12 2014 1 10 01
allfieldsSound	10.1186/2052-336X-12-30 doi (DE-627)SPR03385226X (SPR)2052-336X-12-30-e DE-627 ger DE-627 rakwb eng 610 624 ASE 58.51 bkl Yazdian, Hamed verfasserin aut Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known. Bio-diversity index (dpeaa)DE-He213 Physicochemical parameter (dpeaa)DE-He213 Genetic programming (dpeaa)DE-He213 Margalef index (dpeaa)DE-He213 Jaafarzadeh, Nematollah verfasserin aut Zahraie, Banafsheh verfasserin aut Enthalten in Journal of environmental health science & engineering London : Springer Nature, 2012 12(2014), 1 vom: 10. Jan. (DE-627)778376613 (DE-600)2756287-6 2052-336X nnns volume:12 year:2014 number:1 day:10 month:01 https://dx.doi.org/10.1186/2052-336X-12-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 58.51 ASE AR 12 2014 1 10 01
language	English
source	Enthalten in Journal of environmental health science & engineering 12(2014), 1 vom: 10. Jan. volume:12 year:2014 number:1 day:10 month:01
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author	Yazdian, Hamed
spellingShingle	Yazdian, Hamed ddc 610 bkl 58.51 misc Bio-diversity index misc Physicochemical parameter misc Genetic programming misc Margalef index Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
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topic_title	610 624 ASE 58.51 bkl Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers Bio-diversity index (dpeaa)DE-He213 Physicochemical parameter (dpeaa)DE-He213 Genetic programming (dpeaa)DE-He213 Margalef index (dpeaa)DE-He213
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title	Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
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title_full	Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
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title_sort	relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
title_auth	Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
abstract	Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known.
abstractGer	Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known.
abstract_unstemmed	Abstract The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known.
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title_short	Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers
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Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers

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