scholarly journals Diversitas Makrofauna Kaitannya Dengan Kualitas Air Sungai Metro Kecamatan Lowokwaru Kota Malang

2020 ◽  
Vol 6 (1) ◽  
pp. 28-32
Author(s):  
Novi Komariah ◽  
Saimul Laili ◽  
Hari Santoso
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
River Water ◽  
Natural Resource ◽  
River Flow ◽  
Diversity Index ◽  
River Water Quality ◽  
Living Things ◽  
Quantitative Descriptive ◽  
Macrofauna Community

Water is a natural resource that is needed for the life of human being, even for all the creatures. Therefore, these water resources must be protected so that humans and other living things can be utilized properly. The macrofauna community defines whether the water quality is good or not. The study of the effect of river water quality on the diversity of macrofauna in the Metro river flow of Lowokwaru Subdistrict, Malang City aims to determine the effect of river water quality and to compare the diversity of macrofauna in several Metro river locations in Lowokwaru District, Malang. The method used is quantitative descriptive by calculating the Shanon Winner diversity index. The results obtained for station I amounted to 1.95 classified as lightly polluted, at station II the results were 1,007 which were classified as moderately polluted, and at station III the results were 0.69 which were classified as heavily polluted. Key Words: water quality, macro fauna, Metro river ABSTRAK Air merupakan sumber daya alam yang diperlukan untuk kebutuhan hidup orang banyak, bahkan oleh semua makhluk hidup. Oleh karena itu, sumber daya air tersebut harus di lindungi agar tetap dapat di manfaatkan dengan baik oleh manusia dan makhluk hidup lainnya. Komunitas makrofauna menentukan kualitas air baik atau tidak. Penelitian tentang pengaruh kualitas air sungai terhadap keragaman makrofauna di aliran sungai Metro Kecamatan Lowokwaru kota Malang bertujuan untuk mengetahui pengaruh kualitas air sungai dan untuk membandingkan keanekaragaman makrofauna di beberapa lokasi aliran sungai  Metro Kecamatan Lowokwaru kota Malang. Metode yang di gunakan yaitu deskriptif kuantitatif dengan melakukan perhitungan indeks keanekaragaman Shanon Winner. Indeks keanekaragaman yang di hasilkan pada stasiun I sebesar 1,95 yang tergolong tercemar ringan, pada stasiun II indeks keanekaragaman yang di hasilkan sebesar 1,007 yang tergolong tercemar sedang, dan pada stasiun III di dapat hasil indeks keanekaragaman 0,69 yang tergolong tercemar berat. Kata kunci: Kualitas air, makrofauna, sungai metro.

scholarly journals Evaluation of land use impact on river water quality using macroinvertebrates as bioindicator in Lahumoko Watershed, Buton Island, Indonesia

2019 ◽  
Vol 20 (6) ◽  
Author(s):  
KAHIRUN KAHIRUN ◽  
LAODE SABARUDDIN ◽  
MUKHTAR MUKHTAR ◽  
LAODE MUHAMMAD HARJONI KILOWASID
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Water ◽  
River Flow ◽  
Diversity Index ◽  
Land Use Changes ◽  
River Water Quality ◽  
Biotic Index ◽  
Land Use Impact ◽  
The Impact

Abstract. Kahirun, Sabaruddin L, Mukhtar, Kilowasid LOMH. 2019. Evaluation of land use impact on river water quality using macroinvertebrates as bioindicator in Lahumoko Watershed, Buton Island, Indonesia. Biodiversitas 20: 1658-1670. The Lahumoko Watershed, a small watershed, that empties into the sea is sensitive to water quality changes due to land use changes by humans. Uncontrolled land use changes can threaten the sustainability of the river ecological functions of the watershed. It is important to examine the comparison of river water quality in locations that represent land uses. So, the objectives of this study were to reveal the impact of land use on biological water quality in rivers and to analyze the relationship between macroinvertebrates communities with parameters of biodiversity and physicochemical at the observation locations that represented land use. Biological samplings were done using a hand net with a hole size of 0.5 mm mesh, at five stations, each with three replications, with a length of 30 m of each replication, 60 minutes per station. The results of the study showed that individual abundance, family biotic index and diversity index parameters indicated that the water quality was quite good in the upstream watershed (LM1, LM2, and LM3 stations) and somewhat worse in the middle (LM4 station) and downstream of the watershed (LM5 station). The Spearman's correlation, Dendrogram, and Canonical Correspondent Analysis (CCA) showed that there were similarities among LM1, LM2 and LM3 stations, and also between LM4 and LM5 stations. Physicochemical parameters, especially the velocity and flow rate of the river flow had significant correlation with individual richness and density.    

Analysis of water pollution and evaluation of purification measures in an urban river basin

1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Basin ◽  
Urban Areas ◽  
River Flow ◽  
Sea Water ◽  
Water Quality Management ◽  
River Water Quality ◽  
Urban River ◽  
Pollutant Load

The inflow of pollutant load from urban areas and the stagnation of water due to sea water intrusion cause the deterioration of river water quality in tidal zone. In order to improve water quality, various measures such as the reduction of pollutant load by sewage systems, discharge control from sewage treatment plants considering river flow, nutrient removal by aquatic plants, and the dredging of bottom sediments have been examined. The choice of these measures depends on the situation of the river environment and finances. In this study, a field survey was carried out in a typical urban river basin, first. Secondly, on the basis of this survey, a mathematical model was formed to simulate flow and water quality. Several purification alternatives designed for the investigated river basin were comparatively evaluated from the viewpoint of the effect of water quality improvement and their cost. Finally, they were prioritized. Through this case study, a planning process of river water quality management was shown.

scholarly journals Effect of Wastewater Discharge From Coffee Processing Plant on River Water Quality, Sidama Region, South Ethiopia

2021 ◽  
Vol 15 ◽  
pp. 117863022110610
Author(s):  
Wubalem Genanaw ◽  
Girum Gebremeskel Kanno ◽  
Dawit Derese ◽  
Mekonnen Birhanie Aregu
Keyword(s):  
Water Quality ◽  
River Water ◽  
Physicochemical Parameters ◽  
Diversity Index ◽  
Sampling Technique ◽  
Diversity Indices ◽  
River Water Quality ◽  
Processing Plant ◽  
Processing Plants ◽  
Raw Wastewater

In Ethiopia, most of the coffee processing plants are generating large amounts of wastewater with high pollutant concentrations and discharge directly into the water bodies untreated or partially treated. The main objective of this study was to assess the effects of coffee wastewater discharged to river water quality using physicochemical parameters and macro-invertebrate indices. This study was conducted from November to the end of December 2019. Ten wastewater and river water samples were taken from coffee the processing plant and river. The macro-invertebrate samples were collected by kick sampling technique using a standard hand net. Shannon and Simpson diversity indices were examined at 3 sampling stations. The Pielou evenness index was also determined. It was found that except for TDS all the parameters of the raw wastewater and river water did not comply with the international discharge limit. The mean concentration of Faro coffee processing plant wastewater were BOD5 (2409.6 ± 173.1 mg/L), COD (4302 ± 437 mg/L), TSS (2824.6 ± 428.4 mg/L), TDS (3226 ± 623.6 mg/L), and TS (4183.3 ± 432.9 mg/L). Whereas from Bokaso coffee processing plant were BOD5 (3770 ± 604.4 mg/L), COD (4082.6 ± 921.9 mg/L), TSS (2766 ± 501.7 mg/L), TDS (3017 ± 747.6 mg/L), and TS (3874 ± 471.1 mg/L). A total of 392 macroinvertebrates belonging to 24 families and 7 orders were collected. The benthos assemblage communities in this river were 40, 56, and 296 at downstream 1, downstream 2, and upstream respectively. The value of the Simpson diversity index varies from 0.4 to 0.75. In the same manner, the value of the Shannon diversity index also varied from 0.5 to 1.36. Most of the physicochemical parameters of the raw wastewater were beyond the national and international discharge limits. The quality of Orsha river water downstream was more adversely affected compared to upstream.

Water Resources Planning – A Research Program

1987 ◽  
Vol 19 (9) ◽  
pp. 119-124
Author(s):  
M. A. Santos ◽  
J. R. Costa
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
River Water ◽  
Drainage Basin ◽  
National Laboratory ◽  
Water Quality Modeling ◽  
River Water Quality ◽  
Quality Modeling ◽  
Resources Planning

A research project on “Methodologies for Water Resources Policy Analysis” is under current development at the National Laboratory for Civil Engineering, Portugal. Its main objectives are to develop and test techniques, computational tools and procedures which may help in the design of water resources plans, in the comparison and evaluation of alternative strategies and in real time drainage basin management and operation. In order to achieve these objectives the technical activity of the project has tackled such water resources problems as the assessment of water availability and demands, the characterization of river water quality and wastewater, water pollution control and river water quality modeling. Also, effective technology transfer from technicians to local, regional and national managers and decision-makers has been tried. In this paper, the main project activities are summarized, some of the achievements are pointed out and its most significant results are presented.

scholarly journals Machine learning techniques in river water quality modelling: a research travelogue

2020 ◽  
Author(s):  
Sakshi Khullar ◽  
Nanhey Singh
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
Water Resources ◽  
River Water ◽  
Water Quality Modeling ◽  
River Water Quality ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Aquatic Life ◽  
Learning Techniques

Abstract Water is a prime necessity for the survival and sustenance of all living beings. Over the past few years, the water quality of rivers has been adversely affected due to harmful wastes and pollutants. This ever-increasing water pollution is a matter of great concern as it is deteriorating the water quality, making it unfit for any type of use. Contaminated water resources can cause serious effects on humans as well as aquatic life. Hence, water quality monitoring of reservoirs is essential. Recently, water quality modeling using AI techniques has generated a lot of interest and it can be very beneficial in ecological and water resources management. This paper presents the state-of-the-art application of machine learning techniques in forecasting river water quality. It highlights the different key techniques, advantages, disadvantages, and applications with respect to monitoring the river water quality. The review also intends to find the existing challenges and opportunities for future research.

scholarly journals Impact of Precipitation and Flow Rate Changes on the Water Quality of a Coastal River

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hassan Pourfallah Koushali ◽  
Reza Mastouri ◽  
Mohammad Reza Khaledian
Keyword(s):  
Water Quality ◽  
River Water ◽  
Flow Rate ◽  
River Flow ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Box Plots ◽  
Coastal River

This paper aims to investigate the effects of natural variables, including precipitation and flow rate, on the quality of the Zarjoub River in Guilan province, Iran. The new hydrological insight in this study is a lack of national research focused on the dual effects of rainfall and flow rate on river water quality in coastal areas along the Anzali Wetland. To investigate the effect of precipitation and flow rate on river water quality, nine water quality variables were monitored during the 10-year period. In this article, (a) the existence of trends and the best fitted models of water quality parameters and the discharge and precipitation were analysed using statistical techniques and (b) the relationships between concentration of constituents with the discharge and precipitation on the up-stream and middle station were also examined. Box plots, for explaining the distribution of a data collection, were used. The results showed the existence of trend of water quality parameters with river flow and rainfall. As presented in Section 3, with increasing precipitation and flow rate, concentration of all constituents, except pH and SO₄2, decreased. On the contrary, the maximum amount of water quality elements was observed in low precipitations; therefore, the maximum concentration occurred in less than 15 mm precipitation. Simple regression was used to evaluate the discharge concentration and precipitation concentration. According to the correlation coefficient (r), the relationship between concentration and precipitation is weaker than (0.238) discharge concentration (0.699). The results further showed climate change and river water quality to be related.

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