Relation between Land Use and River Water Quality of the Tama River Watershed

The river is one of the important water sources and at this time the river water quality has decreased.The type of land use around the river is thought to have a significant contribution to river water quality. This research was conducted to determine of correlation between the type of land use and water quality in Rembangan River, Jember Regency.The study was carried out at four stations that passed through secondary forests, coffee plantations, rice fields and residential housing. The data of biodiversity and density of plants and physical-chemical parameters of river water were noted, and benthic macroinvertebratessamples were collected at each station. Data of biodiversity and density plants were used to determine of environmental services index (ESI) values. Benthic macroinvertebrates samples were identifiedat the family level, and after that the tolerance score and the abundance of each family was determined. The last two data were analyzed to determine of Family Biotic Index (FBI) values.The value of ESI, physico-chemical parameters of river waterand FBI were analyzedto determine the relationship between these variables by using Pearson correlation analysis (α < 0.05).The research result revealed that the type of land use (ESI) was significantly related to the biological quality of river water (FBI) as indicated by the p value > 0.05. The correlation characteristic is negative and very strong (R = 0.886). High ESI values indicate that the diversity and carbon sequestration of plant community around the river are in good condition and vice versa. Low HBI values indicate good river water quality and vice versa. Based on this research, each land use type must provide space for the natural growth of the plant communityto maintain the quality of river water to remain good. Keywords: river, benthic macroinvertebrates, land use, water quality, ESI, HBI.

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Assessment of Water Quality of Major Tributaries in Seoul using Water Quality Index and Cluster Analysis

Journal of Korean Society of Environmental Engineers ◽

10.4491/ksee.2020.42.10.452 ◽

2020 ◽

Vol 42 (10) ◽

pp. 452-462

Author(s):

Jinhyo Lee ◽

Hyunju Ha ◽

Manho Lee ◽

Mokyoung Lee ◽

Taeho Kim ◽

...

Keyword(s):

Water Quality ◽

Cluster Analysis ◽

River Water ◽

Quality Index ◽

Water Quality Management ◽

River Water Quality ◽

Quality Information ◽

Linkage Method ◽

And Cluster Analysis

Objectives : 17 water quality measurement networks (WQMNs, tributaries) in Seoul were analyzed by using NSFWQI and cluster analysis to provide basic data for future river water quality management so that citizens could easily and comprehensively understand the water quality information on the rivers in Seoul.Methods : For the past 3 years (2015~2017), in order to estimate WQI, 9 items, DO (% sat), Fecal coliform, pH, BOD, Temperature change (TC), TP, NO3-, Turbidity and Total solids, were selected from among the 19 water quality data measurement items produced monthly from 17 WQMNs in Seoul. WQI was derived and graded using NSFWQI and cluster analysis was performed using Ward Linkage Method, SOM (Self Organizing Map).Results and Discussion : Water quality of most water quality monitoring networks was BOD Ⅱ grade (slightly good) or higher and TP Ⅲ grade (normal) or higher according to the standard of water quality and water ecosystem river living environment, and NSFWQI was also 64 (Medium)~89 (Good). All showed good water quality. NSFWQI does not show a significant difference by season, so it is believed that it is affected by anthropogenic sources rather than seasonal effects. As a result of examining the correlation between NSFWQI and water quality level according to environmental standards, it was confirmed that R2 has a relatively good correlation with 0.78, and there is no clear difference between the two groups, and through this, it was found that the currently implemented water quality rating system and NSFWQI are well matched. As a result of cluster analysis using ward linkage method and SOM for 17 WQMNs, it was largely divided into 6 groups according to water quality characteristics.Conclusions : It is important to manage pollution sources to systematically manage river water quality as a water resource. It is therefore expected that by converting from the complicated and various water quality information such as is found in this study into a simple water quality index and grouping, the river water quality can be easily understood and can be utilized in the future as basic data for water quality management in Seoul.

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Impacto do uso e ocupação da terra na qualidade da água da bacia hidrográfica do rio Nhapindazal, Irati (PR) / Impact of land use and occupation on the water quality of Nhapindazal river watershed, Irati, (PR)

Revista Ambiência ◽

10.5777/ambiencia.2012.05.04 ◽

2012 ◽

Vol 8 (3) ◽

pp. 845-858 ◽

Cited By ~ 2

Author(s):

Augusto Tomazzoni Lubenow ◽

◽

Paulo Costa de Oliveira Filho ◽

Carlos Magno de Sousa Vidal ◽

Grasiele Soares Cavallini ◽

...

Keyword(s):

Water Quality ◽

Land Use ◽

River Watershed

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Unfolding Water Quality Status During COVID-19 Lockdown for the Highly Polluted Santiago River in Jalisco, Mexico

10.21203/rs.3.rs-581075/v2 ◽

2021 ◽

Author(s):

Gurusamy Kutralam-Muniasamy ◽

Fermín Pérez-Guevara ◽

Ignacio Elizalde Martinez ◽

Shruti Venkata Chari

Keyword(s):

Water Quality ◽

River Water ◽

Total Nitrogen ◽

Surface Water Quality ◽

Quality Parameters ◽

River Water Quality ◽

Organic Load ◽

The Government ◽

Temporary Closure

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.

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