scholarly journals Geographic Information System for a Community-Based Water Quality Mapping of Rivers in Indonesia

2020 ◽  
pp. 219-226
Author(s):  
Shofwatul ‘Uyun
Keyword(s):  
Water Quality ◽  
River Water ◽  
Spatial Data ◽  
River Water Quality ◽  
Sampling Location ◽  
Community Based ◽  
The Status ◽  
The Government ◽  
Monitoring Area

River Water with good quality status is the primary needs for the Indonesian people who live along the river. Indonesia has more or less 303 rivers with varied status of water quality. On the other side, the government is obliged to conduct the current situation mapping and to spread the status of river water quality to the surrounding society. It is certainly not an easy job considering the amount and width of the monitoring area. Therefore, this research has proposed a new concept to map the status of river water quality using the STORET method by involving the active participation of the local river community. The locations of research are: Kambaniru river, Brantas river, dan Gajah Wong river. There are seven parameters used to determine the status of river water quality those are: temperature, EC/DHL, TDS, PH, DO, BOD and Caliform. The river community can report the data of analysis result into a system in accordance with the sampling location by enclosing the spatial data. The system will present the status of water quality starting from each point of location to the status of water quality of certain river. The testing result functionally indicates that the system is able to give perfect accuration value. While from its usability, the respondents’ responses are as follows: very agree 60.40%, agree 37.95%, and disagree 1.65%.

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

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.

scholarly journals Urban river water quality improvement in Bandung City, Indonesia

2021 ◽  
Vol 896 (1) ◽  
pp. 012053
Author(s):  
Y M Yustiani ◽  
T Alfiah
Keyword(s):  
Water Quality ◽  
River Water ◽  
Positive Impact ◽  
Regional Scale ◽  
River Water Quality ◽  
Domestic Activity ◽  
Control Effort ◽  
Study Results ◽  
The Government

Abstract Bandung City is one of the big cities in Indonesia with a relatively poor river water quality. Several improvement efforts have been made, especially by the government. This study aims to review these improvement efforts and the results obtained. The rivers that are the leading review are the Cikapundung River, Citepus River, Cicadas River, and Cipamokolan River. The data was obtained from the monitoring results conducted by the government environmental service bureau of Bandung and the Province of West Java. Based on the study results, it was found that there was an improvement in the water quality of the Citepus River, but this river had a non-biodegradation capacity in 2020. The high TSS, COD, BOD, and MBAS detergents indicate the dominating domestic activity in urban watersheds. The most significant control effort to improve the quality of river water in the city of Bandung is the availability of waste treatment at the source, both household and regional scale. Onsite efforts to improve river water quality also have a positive impact, i.e., applying an eco-enzyme solution and developing structures in the river for the aeration process.

scholarly journals STATUS KUALITAS AIR SUNGAI SEKITAR KAWASAN PENAMBANGAN PASIR DI SUNGAI BATANG ALAI DESA WAWAI KALIMANTAN SELATAN

2016 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Ahmad Rizqan ◽  
Idiannor Mahyudin ◽  
Mijani Rahman ◽  
Jamzuri Hadie
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Class I ◽  
Class Iii ◽  
Sand Mining ◽  
The Status ◽  
Water Quality Status ◽  
Quality Status

This study aimed to analyze the water quality of Sungai Batang Alai. Water quality of physics and chemistry properties were analized in location of sand mining and without sand mining. Research conducted at Sungai Batang Alai Village Wawai District of South Batang Alai Hulu Sungai Tengah. Parameters of physical and chemical of water which analyzed were temperature, TSS, TDS, Debit, BOD, COD, DO, pH, Fe, and Mn. The sample were taken at 4 points with 3x replicatation. Status of water water quality were  determined by using STORET method, then the results were compared with status of river water quality status of Class I based on South Kalimantan Governor Regulation No. 5 of 2007 on the status of river water quality. The results showed that the sand mining activities negatively impact the water quality of the river Batang Alai than the location there are no sand mining. This can be seen by the river water quality status in the area before the sand mining in the category of Class I to Class III down to the location of the existing sand mining.

scholarly journals Uncertainties in selected river water quality data

2007 ◽  
Vol 11 (2) ◽  
pp. 863-874 ◽  
Author(s):  
M. Rode ◽  
U. Suhr
Keyword(s):  
Water Quality ◽  
Particulate Matter ◽  
River Water ◽  
Suspended Particulate Matter ◽  
River Water Quality ◽  
Quality Data ◽  
Sampling Location ◽  
Water Quality Data ◽  
Suspended Particulate

Abstract. Monitoring of surface waters is primarily done to detect the status and trends in water quality and to identify whether observed trends arise from natural or anthropogenic causes. Empirical quality of river water quality data is rarely certain and knowledge of their uncertainties is essential to assess the reliability of water quality models and their predictions. The objective of this paper is to assess the uncertainties in selected river water quality data, i.e. suspended sediment, nitrogen fraction, phosphorus fraction, heavy metals and biological compounds. The methodology used to structure the uncertainty is based on the empirical quality of data and the sources of uncertainty in data (van Loon et al., 2005). A literature review was carried out including additional experimental data of the Elbe river. All data of compounds associated with suspended particulate matter have considerable higher sampling uncertainties than soluble concentrations. This is due to high variability within the cross section of a given river. This variability is positively correlated with total suspended particulate matter concentrations. Sampling location has also considerable effect on the representativeness of a water sample. These sampling uncertainties are highly site specific. The estimation of uncertainty in sampling can only be achieved by taking at least a proportion of samples in duplicates. Compared to sampling uncertainties, measurement and analytical uncertainties are much lower. Instrument quality can be stated well suited for field and laboratory situations for all considered constituents. Analytical errors can contribute considerably to the overall uncertainty of river water quality data. Temporal autocorrelation of river water quality data is present but literature on general behaviour of water quality compounds is rare. For meso scale river catchments (500–3000 km2) reasonable yearly dissolved load calculations can be achieved using biweekly sample frequencies. For suspended sediments none of the methods investigated produced very reliable load estimates when weekly concentrations data were used. Uncertainties associated with loads estimates based on infrequent samples will decrease with increasing size of rivers.

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

2021 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Ignacio Elizalde Martínez ◽  
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 Santiago River is one of the most contaminated waterways in Mexico and its surface water quality evaluation during COVID-19 outbreak is critical to assess 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.

scholarly journals The Study of River Water Quality in Water Pollution Control: Case Study ofTalawaan River, North Minahasa District, North Sulawesi Province

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Alfa Winny Pongoh ◽  
Fadillah Putra ◽  
Soemarno Soemarno
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
River Water ◽  
Quantitative Research ◽  
Quality Measurement ◽  
Quality Standard ◽  
River Water Quality ◽  
North Sulawesi ◽  
The Status

This research was conducted to assess the quality of river water in the context of controlling water pollution in the TalawaanRiver in North Minahasa Regency, North Sulawesi Province. This research is a descriptive-quantitative research. The fieldresearch was carried out in the Talawaan River, North Minahasa Regency. Water quality measurement includes physicalparameters: TSS, and chemical parameters; BOD and COD were carried out at five monitoring points. The results showedthat the content of BOD, COD, and TSS in Talawaan River water met the water quality standards (Type B water). Thecharacteristics of the waste (BOD, COD and TSS), the concentration values of BOD, COD and TSS concentration values donot exceed the quality standard according to their designation. The potential for domestic waste pollution load reaches 1,495kg/day from a total population of 16,040 people. The status of Telawan River water quality is classified as ”lightly polluted”based on the studied parameters; there are several other variables that were not included in this study, such as T-P, TotalColi, and Fecal Coli

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

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.

Assessment of Godavari River Water Quality of Nanded City, Maharashtra, India

2021 ◽  
pp. 1117-1129
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Godavari River

Assessment of Godavari River Water Quality of Nanded City, Maharashtra, India

2021 ◽  
pp. 947-961
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Godavari River

scholarly journals Assessment of Surface Water Quality of Mayur River in Khulna City

2021 ◽  
Author(s):  
Md. Mahadi Hashan ◽  
S.M. Moniruzzaman
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Pearson Correlation ◽  
River Water Quality ◽  
Household Waste ◽  
Aquatic Life ◽  
Phosphate Nitrate

Abstract River water quality is one of the foremost concerns now a days as it plays a significant role in human and aquatic life. Mayur River, located on the northwestern side of the Khulna city, is important from numerous points of view like freshwater reservoir, navigation, water source for irrigation, ground for fishing and the main wastewater route of Khulna city. However along with human interruption, the unplanned and untreated crude dumping of domestic, industrial and household waste into it, the natural flow of the river is totally retarded and the river water quality has been degraded on a large scale due to water pollution. This pollution has colossal negative impact on day to day life of the inhabitants living alongside of this river as they use this water for domestic and sometimes drinking purposes. That is where the significance of assessing the water quality of Mayur River has come from. The core objectives of this study is to assess the water quality of Mayur River and to develop a model using statistical analysis between water quality parameters (WQP) and water quality index (WQI) to interpret relationship among them. Water quality was assessed on the basis of WQI calculation using National Sanitary Foundation water quality index method. The temporal WQI value showed that the water quality in Mayur River got worse in dry season than that of wet season due to dilution. Much higher values were obtained in case of biochemical oxygen demand (BOD), turbidity, total solids (TS), chloride, phosphate, nitrate and fecal coliform (FC). Pearson correlation coefficient shows negative relationship among temporal average WQI with other parameters except pH. Regression analysis indicates that 99.7% proportion of variance of dependent variable (temporal average WQI) can be predicted from the independent variables (Dissolved Oxygen (% saturation), BOD, turbidity, TS, pH, temperature change, phosphate, nitrate and FC). Total nine prediction equations were formed using regression coefficients that may be helpful to predict the WQI on the basis of WQP in future.

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