Assessing the surface water status in Pannonian ecoregion by the water quality index model

Tomas, Damir; Čurlin, Mirjana; Marić, Ankica Senta

doi:10.1016/j.ecolind.2017.04.033

Cited by 47 publications

(48 citation statements)

References 18 publications

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“…In addition, the use of multivariate approaches and water quality indices, such as the Physicochemical Driver Assessment Index (PAI), allows for the interpretation of complex data sets in order to better understand the quality and ecological status of a studied ecosystem [3]. Multivariate analysis enables the discovery of possible drivers that may be influencing water quality and easily identifies and interprets water trends [49,50]. Simultaneously, water quality indices ascribe a unitless qualitative value to an aggregate set of measured variables and is based on a set of scientifically determined criteria [50].…”

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confidence: 99%

“…Multivariate analysis enables the discovery of possible drivers that may be influencing water quality and easily identifies and interprets water trends [49,50]. Simultaneously, water quality indices ascribe a unitless qualitative value to an aggregate set of measured variables and is based on a set of scientifically determined criteria [50]. The PAI is a water quality index developed for South African riverine ecosystems in order to determine the state of the physical and chemical water quality for a resource unit or a specific site [51][52][53].In riverine systems associated with floodplains, increased water usage for irrigation reduces the total water supply and groundwater recharge further downstream.…”

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confidence: 99%

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Long-Term Water Quality Patterns of a Flow Regulated Tropical Lowland River

Necker

Neswiswi

Greenfield

et al. 2019

Water

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Floodplain ecosystems in Africa are under threat due to direct anthropogenic pressure and climate change. The lower Phongolo River and associated floodplain is South Africa's largest inland floodplain ecosystem and has been regulated by the Pongolapoort Dam since the 1970s. The last controlled flood release from the dam occurred in December 2014, after which a severe drought occurred and only a base flow was released. The central aims of this study were to determine the historic and present water quality state of the middle and lower Phongolo River and assess the possible effects of the most recent drought may have had. Historic water quality data (1970s to present) were obtained from monitoring stations within the Phongolo River catchment to assess the long-term water quality patterns. Using multivariate statistical analyses as well as the Physicochemical Driver Assessment Index (PAI), a water quality index developed for South African riverine ecosystems, various in situ and chemical water variables were analysed. Key findings included that the water quality of the middle and lower Phongolo River has degraded since the 1970s, due to increased salinity and nutrient inputs from surrounding irrigation schemes. The Pongolapoort Dam appears to be trapping nutrient-rich sediments leading to nutrient-depleted water entering the lower Phongolo River. The nutrient levels increase again as the river flows through the downstream floodplain through input from nutrient rich soils and fertilizers. The drought did not have any significant effect on water quality as the PAI remained similar to pre-drought conditions.Water 2020, 12, 37 2 of 22 impacts on the environment, as well as on the biophysical characteristics of a river both downstream and upstream of the impoundments [7][8][9][10]. Effects include altering the magnitude and velocity of floods and river flows either upstream or downstream of the dam [11], sediment trapping within the impoundment [10,12,13], loss of fertile topsoil downstream of the dam [8,14], nutrient retention within the impoundment [13], nutrient loading downstream of the dam and loss of biodiversity, particularly fish and macroinvertebrates [9,15,16]. The type and magnitude of these effects may differ between systems and is highly dependent on the size of the dam, whether hyper-or hypolimnetic discharge occurs, the purpose for which it was built, the type of river it is located on and the natural variability and function of rivers [12,17,18]. Through controlled flooding regimes, water may be released from an impoundment in a variety of patterns that differ from the natural hydrological regime of a river and thus impacts on the downstream ecosystem [12,[19][20][21], the most prominent impact being reduced downstream flow [8,22]. Reduced river discharge may result in a reduced flooding area and environmental flow, leading to variation in natural abiotic and biotic processes [23] such as nutrient cycling and the migration and spawning of fish [8,24].Low-flow drought disturbances are either seasonal or su...

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confidence: 99%

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confidence: 99%

Long-Term Water Quality Patterns of a Flow Regulated Tropical Lowland River

Necker

Neswiswi

Greenfield

et al. 2019

Water

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“…Natural water (surface water and groundwater) quality in an area is a function of physical, chemical, biological, and radiological characteristics of water [7] that are greatly influenced by geological formations, climate, and topography [3] [20]. In addition, human activities such as industrialization, agriculture, mining, and urbanization produce effluents affect natural water quality [3] [4] [11] [21] [22] [23]. Normally, natural water contamination occurs gradually with little impact in the initial period of deterioration, but if it is not controlled at the right time, this water may not be suitable for any purpose for a long time [3] [6] [24].…”

Section: Introductionmentioning

confidence: 99%

Natural Water Quality and Its Suitability in the Northern Tianshan Catchments (Central Asia)

Zhu¹

2018

HYD

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The use of water resources in arid lands is strongly limited by their quantity. To add to such knowledge, this study evaluates the natural water quality and its suitability for drinking, agricultural and industrial purposes in the northern Tianshan catchments (Central Asia), using chemical-physical indicators. The waters are neutral to alkaline and most of them are soft-fresh waters. The total dissolved solid (TDS) varies over two orders of magnitude. Much of the solutes and physicochemical parameters in water are under the highest desirable limits of the World Health Organization (WHO) for drinking purpose and most waters are of good water quality for irrigation. The effects of local pollution are minimal in the montane and piedmont areas of these watersheds but are significant in the oases and central areas of the drainage basins. Although the headwaters of the northern Tianshan catchments represent natural background conditions (soft-fresh water in salinity and hardness) and population densities within the catchment are relatively low, the river basin is facing relatively high anthropogenic pressure on water quality in the low reaches. The main contributors to the nutrient emissions are agricultural land use and, to a lesser extent, unban settlements with a high proportion of households without connection to wastewater treatment plants. Proposals for regional water resources management are advised, i.g. the geographic data and information should be detailedly included in the assessment and monitoring procedure, a water quality model should be built, and information technology such as visualization technology and the internet should be used.

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“…Bu yüzden ülkemizde ve küresel çapta çok sayıda çalışma yapılmıştır. Bu çalışmaların bazıları veri toplayarak, deneysel şekilde ve zaman gerektirirken (Gedik ve arkadaşları [1], Kalyoncu ve diğerleri [2], Taş [3], Gültekin ve diğerleri [4], İleri ve arkadaşları [5], Cebe ve Barlas [6] ) , bazıları teorik ve pratik (Yenilmez ve Aksoy [7], Tomas ve diğerleri [8], Zhang ve arkadaşları [9], Tekşen Ercan ve Anagün [10]) çalışmalardır. Deneysel çalışmalardan olan Gedik ve arkadaşları [1] Doğu Karadeniz Bölgesi'ndeki Rize ilinde bulunan Fırtına Deresi'nin su kalitesi özelliklerini belirleyip önceki çalışmalarla karşılaştırmışlardır.…”

Section: Introductionunclassified

“…Çalışma sonucunda model tahminleri ve gözlenen değerler arasında kabul edilebilir bir benzerlik bulmuşlardır. Tomas ve arkadaşları [8] Hırvatistan'ın Pannon bölgesindeki su kalitesinin değerlendirilmesi için çok değişkenli doğrusal regresyon modeli ve parçalı doğrusal regresyon modeli olmak üzere 6 değişkenli iki model oluşturmuşlardır. Çalışılan bölge için parçalı değişkenli doğrusal regresyon modelinin daha uygun olduğu sonucuna varmışlardır.…”

Section: Introductionunclassified

Su Sertliğinin ANFIS ile Tahmin Edilmesi: Köprüçay Örneği

Saplioğlu¹,

Kucukerdem²

2018

acperpro

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G&uuml;n&uuml;m&uuml;zde şehirleşme ile sanayileşmenin hızla artması ve iklim değişikliklerine sebep olan k&uuml;resel ısınma birtakım &ccedil;evre sorunlarını da beraberinde getirmektedir. Su kalitesinin değişimi de &ouml;nemli &ccedil;evre sorunlarının başında gelmektedir. Su kalitesi suyun fiziksel, kimyasal ve biyolojik &ouml;zellikleri hakkında fikir vermekte ve suyun kullanım amacına g&ouml;re değerlendirilmektedir. Su kalitesini etkileyen &ouml;nemli parametrelerden birisi de su sertliğidir. Bu &ccedil;alışmada suyun elektriksel iletkenlik, anyon veya katyon değerleri ve toplam tuz konsantrasyonu &ouml;zellikleri ile farklı girdi kombinasyonları uygulanıp, su sertliğinin tahmini i&ccedil;in Adaptif Ağ Tabanlı Bulanık &Ccedil;ıkarım Sistemi (ANFIS) kullanılarak birtakım modeller geliştirilmiştir.

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Assessing the surface water status in Pannonian ecoregion by the water quality index model

Cited by 47 publications

References 18 publications

Long-Term Water Quality Patterns of a Flow Regulated Tropical Lowland River

Long-Term Water Quality Patterns of a Flow Regulated Tropical Lowland River

Natural Water Quality and Its Suitability in the Northern Tianshan Catchments (Central Asia)

Su Sertliğinin ANFIS ile Tahmin Edilmesi: Köprüçay Örneği

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