scholarly journals Monitoring of water quality and hydrodynamic model of pollution load in Dniepr transboundary river

2003 ◽  
Author(s):  
V. Korneev
Keyword(s):  
Water Quality ◽  
Hydrodynamic Model ◽  
Pollution Load ◽  
Transboundary River

Spatial and Temporal variation analysis of water quality of Hemavathi River, Karnataka, India

2018 ◽  
Vol 6 (9) ◽  
pp. 196
Author(s):  
Santhosh K. M ◽  
S. Prashanth
Keyword(s):  
Water Quality ◽  
Agricultural Runoff ◽  
Spatial And Temporal Variation ◽  
Final Conclusion ◽  
Variation Analysis ◽  
Pollution Load ◽  
Quality Of Water ◽  
Pollution Loading ◽  
Origin Point

Urban development, agricultural runoff and industrialization have contributed pollution loading on the environment.  In this study Hemavathi river water from a stretch from its origin point to its sangama was studied for pollution load by determining parameters of water quality like pH, Alkalinity,  Ca, Mg, Nitrate, TDS, BOD, COD , and the results were compared with WHO and BIS standards to draw final conclusion on the quality of water.

Development of Dialog System Model for Eutrophication Control between Discharging River Basin and Receiving Water Body – Case Study of Lake Sagami (Japan)

1989 ◽  
Vol 21 (12) ◽  
pp. 1821-1824
Author(s):  
M. Suzuki ◽  
K. Chihara ◽  
M. Okada ◽  
H. Kawashima ◽  
S. Hoshino
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Expert System ◽  
River Basin ◽  
Water Body ◽  
Water Bodies ◽  
Quality Data ◽  
Pollution Load ◽  
Water Quality Data ◽  
Receiving Water

A computer program based on expert system software was developed and proposed as a prototype model for water management to control eutrophication problems in receiving water bodies (Suzuki etal., 1988). The system has several expert functions: 1. data input and estimation of pollution load generated and discharged in the river watershed; 2. estimation of pollution load run-off entering rivers; 3. estimation of water quality of receiving water bodies, such as lakes; and 4. assisting man-machine dialog operation. The program can be used with MS-DOS BASIC and assembler in a 16 bit personal computer. Five spread sheets are utilized in calculation and summation of the pollutant load, using multi-windows. Partial differential equations for an ecological model for simulation of self-purification in shallow rivers and simulation of seasonal variations of water quality in a lake were converted to computer programs and included in the expert system. The simulated results of water quality are shown on the monitor graphically. In this study, the expert system thus developed was used to estimate the present state of one typical polluted river basin. The river was the Katsura, which flows into Lake Sagami, a lake dammed for water supply. Data which had been actually measured were compared with the simulated water quality data, and good agreement was found. This type of expert system is expected to be useful for water management of a closed water body.

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 Water Quality Modeling of Bhima River by using HEC-RAS Software

2020 ◽  
Vol 9 (3) ◽  
pp. 2886-2889
Keyword(s):  
Water Quality ◽  
River Water ◽  
Hydrodynamic Model ◽  
Algal Blooms ◽  
Agricultural Runoff ◽  
Water Quality Modeling ◽  
Water Quality Model ◽  
River Water Quality ◽  
Water Levels ◽  
Quality Model

The River has got religious importance in India. The Bhima River is beginning from Bhimashankar hill and it flows through some parts of Maharashtra and Karnataka state. The assessment of water quality for the development of the places near the bank of River is important. These is controlled by various manmade activities. The quality of river water resources is facing problems because of the continuous agricultural runoff, development and urbanization. Due to mixing of nutrients causes algal blooms, which results eutrophication. The modeling of water quality can be deliberated as useful tool for assessing river water. Bhima River is demarcated as a major and important water body located in Pandharpur, dist. Solapur, Maharashtra. As Pandharpur is having historical background and known as one of the famous Holly places in Maharashtra, this place is facing huge population fluctuation due to migrated pilgrims and rapid growth of urbanization. These two things detrimentally affect River water quality. The main objective of current study was to develop a hydrodynamic model combined with river water quality model for the Bhima River to measure and recognize the processes harmful for the River. For Bhima River a hydrodynamic model was constructed using the HEC-RAS 4.1 software combined with a river water quality model to estimate the amount, distribution and sources of algae, nitrate and temperature. The river model has standardized with the help of previous water levels near the Pandharpur region. It has standardized and calibrated for the assessed parameters by competing them with the present data. The result showed a relationship between DO and temperature range. DO level in Pandharpur and Gopalpur were observed to be fluctuating with respective temperature and during Vari season. However, wastewater discharge from Nalha in sample station 3 i.e. Goplapur shows slit changes in DO and due to this there is necessity to learn other parameters also.

scholarly journals Identifikasi Kualitas Air dan Beban Pencemaran Sungai Bedadung di Intake Instalasi Pengolahan Air PDAM Kabupaten Jember

2019 ◽  
Vol 18 (2) ◽  
pp. 135
Author(s):  
Hendra Andiananta Pradana ◽  
Sri Wahyuningsih ◽  
Elida Novita ◽  
Aisyah Humayro ◽  
Bambang Herry Purnomo
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Government Regulation ◽  
Water Quality Monitoring ◽  
Quality Standard ◽  
T Test ◽  
Anthropogenic Activity ◽  
Pollution Load ◽  
Grab Sampling ◽  
Water Treatment Plants

ABSTRAKLatar belakang: Salah satu sumber air permukaan yang memiliki peran vital bagi ekosistem perairan dan makhluk hidup adalah sungai. Sungai Bedadung merupakan salah satu sungai besar yang melewati wilayah Perkotaan Kabupaten Jember. Air dari sungai tersebut dimanafaatkan sebagai pemasok air baku untuk PDAM Kabupaten Jember. Akan tetapi akibat tekanan aktivitas antropogenik menurunkan kualitas air sungai tersebut. Pemantauan kualitas air diperlukan sebagai salah satu pertimbangan pengendalian pencemaran pada air sungai tersebut. Tujuan penelitian ini mengidentifikasi kondisi kualitas air dan beban pencemaran di intake intalasi pengolahan air (IPA) PDAM Kabupaten Jember.Metode: Pengambilan contoh air secara grab sampling dilakukan di intake IPA Tegal Gede dan IPA Tegal Besar dengan beberapa parameter kualitas air yang diamati yaitu suhu, kekeruhan, TDS, pH, DO, BOD, COD, yang dibandingkan dengan baku mutu Peraturan Pemerintah Republik Indonesia Nomor 82 tahun 2001 serta debit air yang digunakan untuk menghitung beban pencemaran serta dilanjutkan uji t untuk mengetahui perbandingan kondisi beban pencemaran.Hasil: Hasil penelitian menujukkan bahwa kualitas air sungai di intake IPA Tegal Gede dan IPA Tegal Besar secara berurutan tergolong kelas I dan III. Nilai COD di intake IPA Tegal Besar tergolong kelas III. Nilai beban pencemaran menujukkan perbedaan yang signifikan pada kedua intake IPA. Beban pencamaran di IPA Tegal Gede dan Tegal Besar dengan nilai rata-rata secara berurutan yaitu 24,96 kg/hari dan 74,03 kg/hari.Simpulan: Kualitas air Sungai Bedadung berdasarkan parameter fisika dan kimia di intake IPA Tegal Gede di IPA Tegal Besar secara berurutan tergolong kelas I dan III serta kondisi beban pencemaranya beragam.ABSTRACTBackground: River as one of surface water resources has a vital role for ecosystems and organism. Jember Regency Municipal Waterworks utilized the river as water raw resources. However, the pressure of anthropogenic activity decreases the river's water quality. Water quality monitoring is needed as a consideration for pollution controlling in the river. The focus research identified the condition of water quality and pollution load in the water treatment plants (WTP) intake of Jember Regency Municipal Waterworkers.Method: The water sampling by grab sampling was carried out at intake of Tegal Gede and Tegal Besar WTP with several observed pysicochemical parameters i.e temperature, turbidity, TDS, pH, DO, BOD, COD compered with the quality standard of Government Regulation No. 82 of 2001 and stream flow for pollution load measurement and continued by t-test to compire the pollution load conditions.Result: The results denote that the water quality in Tegal Gede and Tegal Besar WTP intakes were classified into first (I) and third (III) class. COD caused water quality decreased in intake of Tegal Besar WTP. The t-test of the pollution load represented a significantly difference at the both water treatment plants locations. Pollution load at Tegal Gede and Tegal Besar WTP showed the average values of 24.96 kg/day and 74.03 kg/day. Conclusion: The water quality refer to physicochemical parameter in intake of Tegal Gede and Tegal Besar were categorized WTP into first (I) and third (III) class, furthermore the condition of the pollution load varies.

Quantifying the impact of human activities on water quality based on spatialization of social data: a case study of the Pingzhai Reservoir Basin

2020 ◽  
Vol 20 (2) ◽  
pp. 688-699 ◽  
Author(s):  
Yongrong Zhang ◽  
Zhongfa Zhou ◽  
Haotian Zhang ◽  
Yusheng Dan
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Human Activities ◽  
Water Environment ◽  
Oxygen Demand ◽  
Pollution Source ◽  
Pollution Load ◽  
Social Data ◽  
Reservoir Basin ◽  
The Impact

Abstract In water pollution source research, it is difficult to quantify the impact of human activities on water quality. Based on pollution load theory and the concept of spatialization of social data, this study integrates land-use type, slope gradient, and spatial position, and uses the contribution of human activities to quantify the impact of farmland fertilizers, livestock and poultry wastes, and human domestic pollution on water quality in the study area. The results show that livestock manure is the largest source of total phosphorus (TP) and total nitrogen (TN) discharges in the research area, and domestic pollution is the largest source of chemical oxygen demand (COD) discharges. The total equal standard pollution load (as well as the load of each pollution source and its pollutant amount) is the highest in the Nayong River Basin and the lowest in the Baishui River Basin. The contributions of human activities to TP and TN have similar spatial distributions. The impact of human activities on COD discharge is minimal. The quantitative results of this model are basically consistent with the actual conditions in the Pingzhai Reservoir Basin, which suggests that the model reasonably reflects the impact of human activities on the water environment of the basin.

Changes in Water Quality in Masan Bay after the Introduction of the Total Pollution Load Management System

2018 ◽  
Vol 21 (2) ◽  
pp. 139-148 ◽  
Author(s):  
Mi-Ok Park ◽  
Yong-Woo Lee ◽  
Jun-Kun Park ◽  
Seong-Gil Kim ◽  
Seong-Soo Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Management System ◽  
Load Management ◽  
Pollution Load
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