Influences of key factors on river water quality in urban and rural areas: A review

Anh, Nguyễn Tuấn; Can, Le Duy; Nhan, Nguyen Thi Hong; Schmalz, Britta; Luu, Tran Le

doi:10.1016/j.cscee.2023.100424

Cited by 48 publications

(15 citation statements)

References 84 publications

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“…There are differences in ecological index characteristics between the Watumokala River and the Nokambu River. All ecological index parameters in the Watumokala River show significant differences between stations, whereas in the Nokambu River, only the abundance and FBI parameters differ significantly between stations (Anh et al 2023). This difference is caused by differences between rivers which are still influenced by the characteristics of rural agriculture upstream of the river (Espinosa et al 2020), and rivers which are heavily influenced by urban settlements (Mena-Rivera et al 2017).…”

Section: Ecological Indices Determine Water Quality In Watumokala And...mentioning

confidence: 94%

“…The land around the river has a relationship with the river ecosystem that flows in it (Dede et al 2023). The land use type has a strong positive and adverse relationship with the physicochemical parameters of river water quality (Kahirun et al 2019;Anh et al 2023). The differences in physicochemical parameters directly affect the biological composition of streams and rivers (Tamiru et al 2017;Krisanti et al 2020), especially the presence and distribution of macroinvertebrates (Jonsson et al 2017).…”

Section: Physical and Chemical Parameters Of River Water Qualitymentioning

confidence: 99%

“…Meanwhile, the Nokambu River shows high water temperature due to a lack of vegetation cover so it is also in line with the increase in water flow rate which causes an increase in the values of TSS, TDS and BOD, and COD (Labajo-Villantes and Nuñeza 2015). The increase in these parameters causes DO to decrease (Mena-Rivera et al 2017) so that in line with the speed of water flow from a body of water it also determines the distribution of organisms including macroinvertebrates that live in the water body (Mamun et al 2022;Anh et al 2023). The TSS value has a positive relationship with TDS, COD, and BOD, caused by sediment (from soil erosion and household waste pollution (Dirisu et al 2017;Shim et al 2018), especially in the Nokambu River in urban areas.…”

Section: Physical and Chemical Parameters Of River Water Qualitymentioning

confidence: 99%

“…If the Shannon and Margalef diversity indices are low, it reflects a decrease in species composition caused by environmental degradation due to human anthropogenic pressure (Bassey et al 2020). This can be seen from the anthropogenic influence on the Watumokala River, namely activities related to lowland rice farming and rural settlements which are still dominated by plantation crop farming, whereas on the Watumokala River, there is already the influence of pressure from urban activities which are less agricultural (Anh et al 2023;Ezenwa et al 2023). So the results of the FBI assessment show that at stations that are disturbed by human anthropogenic activities, the water quality is slightly impacted and fairly substantial pollution is likely (Ogbeibu et al 2013;Enawgaw and Lemma 2019).…”

Section: Ecological Indices Determine Water Quality In Watumokala And...mentioning

confidence: 99%

“…The results of correlation tests between ecological indicators, family abundance, and physicochemical parameters in the Watumokala River show that several parameters are significantly correlated. Water temperature, TDS, and BOD provide a significant negative correlation to ecological indices including Shannon diversity and Margalef richness (Anh et al 2023). Increasing the values of TDS, BOD, and water temperature correlate with the presence of human activity in the use of paddy fields (Mamun et al 2023).…”

Section: Correlation Between Ecological Of Water Quality Macroinverte...mentioning

confidence: 99%

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Used macroinvertebrates as bioindicators to compare water quality from different land uses in Watumokala and Nokambu Rivers, Southeast Sulawesi, Indonesia

KAHIRUN,

BASRUDIN,

SIWI

et al. 2023

Biodiversitas

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Abstract. Kahirun, Basrudin, Siwi LO, Indriyani L, Bana S, Sudia LB, Erif LOM, Midi LO, Maulina N, Jamaluddin N. 2023. Used macroinvertebrates as bioindicators to compare water quality from different land uses in Watumokala and Nokambu Rivers, Southeast Sulawesi, Indonesia. Biodiversitas 24: 5693-5708. Macroinvertebrates are animals that live in waters, both on the surface of the water, in riverbeds attached to substrates or mud, and in several biotypes, which are used as bioindicators of water quality due to anthropogenic disturbances that can change land use around rivers. This study aimed to describe the physicochemical parameters and macroinvertebrate community in the Watumokala and Nokambu rivers in Southeast Sulawesi, Indonesia, and to compare the water quality in the two rivers based on ecological index measurements. This study used a survey method at the upstream, middle, and downstream sampling locations for each river with different land use. Data collection on macroinvertebrates and physicochemical parameters was carried out at each station in each river. The data analysis carried out in this study was to calculate the Shannon-Wienner diversity index, species abundance index, uniformity index, Margalef richness index, and the Family Biotic Index (FBI). The results of this study indicated that in the Watumokala River, there were 17 families from 9 macroinvertebrate orders with an abundance of 1852 individuals, more than in the Nokambu River where 14 families were found from 8 orders with an abundance of 904 individuals. There is an influence of land use habitat on macroinvertebrates in the Watumokala and Nokambu Rivers. In the Watumokala River station 1 and station 3 are similar and have a significant correlation with several indicators indicating that the water quality is still good, while at station 2 there is a positive correlation with physicochemical parameters which indicates that the water quality is slightly polluted. Likewise, in the Nokambu River, at station 1 and station 2, there are similarities and significant correlations between physicochemical parameters and macroinvertebrate communities in providing indicators that water quality is still good, while station 3 shows a significant correlation with physicochemical parameters and macroinvertebrates as indicators of water quality polluted. So, the results of this research are useful in efforts to manage land and water in rivers that are experiencing pollution.

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Section: Ecological Indices Determine Water Quality In Watumokala And...mentioning

confidence: 94%

Section: Physical and Chemical Parameters Of River Water Qualitymentioning

confidence: 99%

Section: Physical and Chemical Parameters Of River Water Qualitymentioning

confidence: 99%

Section: Ecological Indices Determine Water Quality In Watumokala And...mentioning

confidence: 99%

Section: Correlation Between Ecological Of Water Quality Macroinverte...mentioning

confidence: 99%

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Used macroinvertebrates as bioindicators to compare water quality from different land uses in Watumokala and Nokambu Rivers, Southeast Sulawesi, Indonesia

KAHIRUN,

BASRUDIN,

SIWI

et al. 2023

Biodiversitas

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Water Pollution: Transportation, Fate and Its Hazardous Impacts on the Biosphere

Bharani,

Papitha,

Ravi

et al. 2024

Emerging Trends in Microbial Electrochemical Technologies for Sustainable Mitigation of Water Resources Contamination

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Organophosphate pesticide residue impact on water quality and changes in macroinvertebrate community in an Afrotropical stream flowing through farmlands

Ikayaja,

Arimoro

2024

Environ Monit Assess

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River Chanchaga has experienced signi cant agricultural practices around its catchment, which involved indiscriminate use of pesticides. However, residents of the study area are not well oriented concerning the negative impact of pesticides on water quality and macroinvertebrates. In this study, the rst report on the in uence of organophosphate pesticide contamination on the abundance of the macroinvertebrate community was provided. Sampling for determination of organophosphate pesticide residues was carried out during the peak of the two seasons, while macroinvertebrates and physicochemical variables were observed for six months. We examined 11 organophosphate pesticide residues using Gas Chromatography coupled with Mass Spectrometry, 12 water quality variables, and 625 macroinvertebrate individuals. The concentration of recorded organophosphate pesticides residues ranged from 0.01-0.52 µg/L. From the Canonical Correspondence Analysis plot, Malathion, chlorine, and para n show a positive correlation with Unima sp., Hydrocanthus sp., Chironomus sp., and Potadoma sp. At station 3, depth shows a positive correlation with Biomphalaria sp. and Zyxomma sp., indicating poor water quality as most of these macroinvertebrates are indicators of water pollution. Diuron and carbofuran show a negative correlation with Lestes sp. and Pseudocloeon sp., and these are pollutionsensitive macroinvertebrates. The total mean concentration of organophosphate pesticide residues was above international drinking water standards set by the World Health Organization except for para n, chlorpyrifos, and diuron. In conclusion, the observations recorded from this research are useful in managing pesticide application around the river catchment.

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Influences of key factors on river water quality in urban and rural areas: A review

Cited by 48 publications

References 84 publications

Used macroinvertebrates as bioindicators to compare water quality from different land uses in Watumokala and Nokambu Rivers, Southeast Sulawesi, Indonesia

Used macroinvertebrates as bioindicators to compare water quality from different land uses in Watumokala and Nokambu Rivers, Southeast Sulawesi, Indonesia

Water Pollution: Transportation, Fate and Its Hazardous Impacts on the Biosphere

Organophosphate pesticide residue impact on water quality and changes in macroinvertebrate community in an Afrotropical stream flowing through farmlands

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