Significance of wetlands in water quality management - past and present situation of Kizilirmak Delta, Turkey

2002 ◽  
Vol 46 (8) ◽  
pp. 145-152 ◽  
Author(s):  
A. Samsunlu ◽  
L. Akca ◽  
C. Kinaci ◽  
N. Findik ◽  
A. Tanik
Keyword(s):  
Water Quality ◽  
Agricultural Land ◽  
Water Quality Management ◽  
Present Situation ◽  
The Black Sea ◽  
Ecological Value ◽  
Ecological Balance ◽  
River Deltas ◽  
Agricultural Areas

Wetlands are of utmost importance in the sense of protecting the natural ecological balance of the environment. It is possible to improve the water quality of wetlands, which are located in coastal areas like river deltas and lakes without disturbing the ecological balance through rehabilitation and by controlling. However, many wetlands in the world have so far been dried and converted to agricultural areas due to insufficient knowledge of their ecological value. Such an understanding was also held as true in Turkey and most of its wetlands have been converted to agricultural land till recent years. An example of such an occurrence and modifications within years are observed in the delta of the Kizilirmak River, which is the longest river of Turkey ending in the Black Sea. The past and present situation of the Kizilirmak delta will be investigated in this paper together with the changes in water quality. An evaluation of the water quality of the river and of lakes within the delta is done based on available previous data and on the final findings of water quality measurements conducted within the framework of this study.

The Water Quality Management for Recirculating Aquaculture System by Applying Nano Adsorption Technology

2021 ◽  
Vol 21 (7) ◽  
pp. 3975-3979
Author(s):  
Min-Jin Hwang ◽  
Jeongmin Cha ◽  
Eun-Sik Kim
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Reduction Rate ◽  
Fish Farming ◽  
Analytical Relationship ◽  
Pumice Stone ◽  
Recirculating Aquaculture ◽  
Recirculating Aquaculture Systems ◽  
Aquaculture Water

In a fish farm, the water quality is important to ensure fish growth and farm productivity. However, the study of the quality of water using in aquaculture has been ignored until now. Although there are several methods to treat water, nanomaterials have not yet been applied for indoor fish farming because it may difficult to supply a sufficient amount of water, and the operating parameters have not been developed for recirculating aquaculture systems. Nanotechnology can be applied to treat water, specifically through adsorption and filtration, to produce drinking water from surface water and to treat wastewater by processing a high volume of effluent. The adsorption and filtration of seawater has also progressed to allow for desalination of seawater, and this is recognized as a necessary tool for extended treatment protocols of various types of seawater. This study investigated the treatment of aquaculture water using nano-porous adsorbents (e.g., pumice stone) to control the contaminants in seawater in order to maintain the water quality required for aquaculture. The results are used to derive an analytical relationship between the ionic species in aquaculture water, and this provides empirical parameters for a batch reactor for aquaculture. The quality of the influent and effluent for aquaculture is compared using time-series analyses to evaluate the reduction rate of ionic components and thus suggest the optimum condition for fish farming using bioreactor processes.

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.

scholarly journals HYDROCHEMISTRY OF THE PYANJ TRANSBOUNDARY RIVER UPSTREAM, MIDDLE AND DOWNSTREAM AND THE CRITERION ITS USE FOR IRRIGATION

2021 ◽  
Vol 445 (1) ◽  
pp. 114-120
Author(s):  
I. Sh. Normatov ◽  
V.V. Goncharuk ◽  
N.A. Amirgaliev ◽  
A.S. Madibekov ◽  
A.I. Normatov
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Water Samples ◽  
Alkali Metals ◽  
Alkaline Earth ◽  
Maximum Permissible Concentration ◽  
Agricultural Land ◽  
Transboundary River ◽  
Formation Zone

The water quality of the transboundary Pyanj River in the formation zone and along the riverbed before merging with another tributary of the transboundary Amu Darya River-the Vakhsh River was studied. The water quality on the upstream river corresponds to the very soft class (> 1.5 mmol/dm3) and in the middle and the downstream to the soft class (1.5-3.0 mmol/dm3). At the upper, middle and lower reaches of the Pyanj river the concentration of alkaline earth exceeds alkali metals (Ca2+ + Mg2+> Na+ + K+) at HCO3- > SO42- + Cl- and according to the Handa classification they are characterized by temporary rigidity. To assess the criterion of applicability of the Pyanj river water for irrigation the coefficient of sodium adsorption (SAC) was calculated for water samples from the upstream (Khorog), middle (Darvaz) and the downstream (Lower Pyanj) of the Pyanj river that were equal to 0.88; 1.07; 1.71, respectively. The SAC values for all water samples (from the upper, middle and lower reaches) of the Pyanj river indicate their good qualities for irrigation of agricultural land. The concentration of heavy metals in the Pyanj river is significantly lower than the maximum permissible concentration (MPC).

scholarly journals Analysis of Water Quality and River Waters Microbology for Manifestation of Food Safety

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Rizky Muliani Dwi Ujianti ◽  
Althesa Androva
Keyword(s):  
Water Quality ◽  
Food Security ◽  
Quality Management ◽  
Water Quality Management ◽  
Quality Standard ◽  
Total Coliform ◽  
Coliform Bacteria ◽  
Domestic Waste ◽  
Total Coliform Bacteria

 Abstract. Banjir Kanal Barat is a river in the Garang watershed, Semarang City, Central Java, Indonesia. Its function is as a source of water for the community. The level of pollution in this river is already high. The purpose of this study is to provide advice to governments, communities and related stakeholders to realize integrated river management, and fisheries-based food security is achieved. This research method is: analyzing the water quality of the Banjir Kanal Barat river, and analyzing the amount of faecal and total coliform bacteria content in the Banjir Kanal Barat river, and analyzing how to overcome the decline in the quality of waters of the Banjir Kanal Barat river due to faecal and total coliform bacteria pollution. The results showed that the water quality at the research location was still in the quality standard. The content of coliform dan faecal bacteria at the study site exceeds the quality standard, this is due to the influence of domestic waste from households. The thing that needs to be done is counseling the existence of a clean and healthy life, especially for people who are still throwing domestic waste into the river. The existence of water purification equipment is also very necessary to overcome this problem. Water quality management can be done with policy analysis. Regulations related to water quality management can be analyzed and then given solutions and recommendations related to these rules so that policies can be taken that are sustainable, integrated, and coordinated between various parties in managing river water quality and food security. Keywords: food security, water quality, river, faecal coliform, total coliform

scholarly journals Analysis Quality of Water River and Quality of Well Water in The Surrounding of Rejo Agung Baru Sugar Factory Madiun

2018 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Susanti Oktavia Ningrum
Keyword(s):  
Water Quality ◽  
Agricultural Waste ◽  
Water Quality Management ◽  
Domestic Wastewater ◽  
Quality Standards ◽  
Water Quality Monitoring ◽  
Well Water ◽  
Sugar Factory ◽  
Quality Of Water

The quality of wastewater sugar factory produced will affect the environmental health quality around the factory. The study aimed to analyze the quality of water river and the quality of wells around the Rejo Agung Baru sugar factory in the Madiun. This study is an descriptive observational. The samples comprised of 5 sampels of water rivers and 7 samples of well water. The results of the study at the quality of water river showed that there are parameters (BOD5 and temperature) unqualified with the quality standards based on the East Java Regional Regulation No. 2 of 2008 about Water Quality Management and Water Pollution Control in the East Java, the quality of water river is also affected by the waste water, trash, agricultural waste, and other pollutants. The result of measuring the quality of water well showed that there are parameters (organic substance) unqualified with quality standards based on Permenkes No: 416/Menkes/PER/ IX/1990 about the Terms and Water Quality Monitoring, the quality of Well water is also affected by the quality of water river, a distance of toilet, domestic wastewater and other pollutants. The quality of water river and the quality of well water have decreased that required supervision on the quality of a river water and the quality of water of a well.

scholarly journals Assessment of soil and water quality of Barapukuria coal mining site, Dinajpur, Bangladesh

2016 ◽  
Vol 27 (1) ◽  
pp. 63-73
Author(s):  
Rowshon Shad Fardushe ◽  
Md Mahbubul Hoque ◽  
Shimul Roy
Keyword(s):  
Water Quality ◽  
Agricultural Land ◽  
Drainage Water ◽  
Quality Parameters ◽  
Color Temperature ◽  
Mining Site ◽  
The Status ◽  
Land Water ◽  
Soil And Water

From the field observation it is apparent that the color of coal leached drainage water and the agricultural land water are blackish and slightly blackish respectively, which pollutes surface water and the agricultural land. The study showed the present status of the water quality through analyzing different parameters including color, temperature, pH, EC, DO, TDS, BOD, COD, Cl-, Cu, Zn and Fe as well as the status of soil quality where pH, OC, PO4 -, Cu, Cr and Zn were analyzed. All the water quality parameters (e.g. temperature, pH, EC, TDS, DO, and BOD) were within normal levels but the value of COD was higher, which affects the aquatic environment. The concentration of heavy metals in water varied with Zn > Cu > Cr and in soil the concentration varied with Cu > Cr > Zn.Bangladesh J. Sci. Res. 27(1): 63-73, June-2014

scholarly journals Water Quality of the Mun River in Thailand—Spatiotemporal Variations and Potential Causes

2019 ◽  
Vol 16 (20) ◽  
pp. 3906 ◽  
Author(s):  
Haoyu Tian ◽  
Guo-An Yu ◽  
Ling Tong ◽  
Renzhi Li ◽  
He Qing Huang ◽  
...  
Keyword(s):  
Water Quality ◽  
Agricultural Land ◽  
Kendall Test ◽  
Coliform Bacteria ◽  
Monitoring Site ◽  
Spatiotemporal Variations ◽  
Primary Parameter ◽  
Quality Degradation ◽  
Spatial Fluctuations

The water quality of the Mun River, one of the largest tributaries of the Mekong River and an important agricultural area in Thailand, is investigated to determine its status, identify spatiotemporal variations and distinguish the potential causes. Water quality dataset based on monitoring in the last two decades (1997–2017) from 21 monitoring sites distributed across the basin were analyzed using seasonal Kendall test and water quality index (WQI) method. The Kendall test shows significant declines in fecal coliform bacteria (FCB) and ammonia (NH3) in the upper reaches and increases in nitrate (NO3) and NH3 in the lower reaches. Strong temporal and spatial fluctuations were observed in both the concentrations of individual parameters and the WQI values. Seasonal variation of water quality was observed at each monitoring site. WQI values in August (flood season) were generally among the lowest, compared to other seasons. Spatially, sites in the upper reaches generally having lower WQI values than those in the lower reaches. Excessive phosphorus is the primary cause of water quality degradation in the upper reaches, while nitrogen is the primary parameter for water quality degradation in the lower reaches. Urban built-up land is an important “source” of water pollutants in the lower basin, while agricultural land plays a dual role, affecting across the basin.

scholarly journals A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
Agricultural Land ◽  
Water Quality Management ◽  
Temporal Trends ◽  
Oxygen Demand ◽  
Principal Component ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.

scholarly journals A Study on the Relationship between Land Use Change and Water Quality of the Mitidja Watershed in Algeria Based on GIS and RS

2020 ◽  
Vol 12 (9) ◽  
pp. 3510 ◽  
Author(s):  
Dechao Chen ◽  
Acef Elhadj ◽  
Hualian Xu ◽  
Xinliang Xu ◽  
Zhi Qiao
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Agricultural Land ◽  
Vegetation Coverage ◽  
Water Quality Control ◽  
Urban Settlement ◽  
The Relationship

Many catchments in northern Algeria, including the coastal Mitidja Basin in the north central part of the country have been negatively affected by the deterioration of water quality in recent years. This study aims to discover the relationship between land use change and its impact on water quality in the coastal Mitidja river basin. Based on the data of land use and water quality in 2000, 2010 and 2017, the relationship between land use change and surface water quality index in the Mitidja Watershed was discussed through GIS and statistical analysis. The results show that the physical and chemical properties of the Mitidja river basin have obvious spatial heterogeneity. The water quality of upstream was better than that of downstream. There was a significant spatial relationship between the eight water quality indicators and three land use types, including urban residential land, agricultural land and vegetation. In most cases, settlements and agricultural land are the dominant factors leading to river pollution, and higher vegetation coverage helps to improve water quality. The regression model revealed that percentage of urban settlement area was a predictor for NH4-N, BOD5, COD, SS, PO4-P, DO and pH, while vegetation was a predictor for NO3-N. The analysis also showed that during this period, urban settlement areas increased sharply, which has a significant impact on water quality variables. Agricultural land only had a significant positive correlation with PO4-P. The results provide an effective way to evaluate river water quality, control water pollution and land use management by landscape pattern.

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