scholarly journals Impact of Right Bank Outfall Drain-I (RBOD-I) / Main Nara Valley Drain (MNVD) on Manchar Lake, Sindh, Pakistan

2019 ◽  
Vol 9 (6) ◽  
pp. 5074-5079
Author(s):  
A. A. Mahessar ◽  
K. Ansari ◽  
G. M. Arain ◽  
S. M. Kori ◽  
S. Qureshi ◽  
...  

The lakes of Sindh are in poor environmental condition due to the massive disposal of effluents. This paper presents the impact of water quality in Manchar Lake due to climate change and anthropogenic intervention. The lake is one of the biggest natural lakes in Sindh, Pakistan. The lake has three major sources of water supply: Indus River, hill torrents from the Khirthar Mountain range and the Right Bank Outfall Drain (RBOD-I)/Main Nara Valley Drain (MNVD). The water supply of the lake from the first two sources has been reduced due to morphological and climate changes. Hence, there is only one, and polluted, water supply to the lake, the RBOD-I/MNVD. At the same time, the use of poisonous materials for fishing has further contaminated the lake’s water. The RBOD system is connected with RBOD-III, RBOD-I/MNVD, Indus Link and RBOD-II on the right side of Indus River for safe disposal of wastewater into the Arabian Sea, which is still not functioning. Hence, more than 4500 cusecs of wastewater from the catchment area of RBOD have directly been discharged into the lake causing severe impact on flora, fauna and the livelihood of locals. In order to analyze the lake water quality impact, the water quality index (WQI) model was used. The results indicate that the water quality of four samples was very poor, while the fifth sample was unsuitable for drinking. The results of statistical analysis of parameters such as TDS, EC, SO4, Cl, Na, and hardness are higher to their permissible limits. Consequently, lake water possesses a high potential risk to local consumers and aquatic ecology.

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1713
Author(s):  
Jing Li ◽  
Kristofer Hägg ◽  
Kenneth M. Persson

The authors wish to make the following corrections to this paper [...]


Author(s):  
Marek Ramczyk

The econometric model can be a precise instrument for the analysis of the impact of the natural environmental degradation on the fishing economy. This paper aims at analysing the influence of the water quality changes in Charzykowskie Lake on the fishing economy. The economic-ecological models have been constructed, explaining the changes of economic effects of the lake fishery in the conditions of an increasing water pollution in the hypolimnion on the example of the catch of Rutilus rutilus, Blicca bjoerkna, Coregonus lavaretus, Anguilla anguilla and Esox lucius in Charzykowskie Lake. Performed empirical research focuses on the influence of the environmental factors on the size of fish catch. Calculations and analysis show clearly that even though the habitat factors have an influence on the catch size of each studied fish species, they do it with different intensity and in various combinations. Both, lake water quality and climate factors changes, cause measurable effects on fishing industry of Charzykowskie Lake. Among the examined Rutilus rutilus and Blicca bjoerkna, Blicca bjoerkna has the highest high environmental requirements regarding the water quality. Empirical calculations showed as well that Coregonus lavaretus has considerably higher water cleanness requirements than Rutilus rutilus and Blicca bjoerkna. While considering Rutilus rutilus and Blicca bjoerkna, most water characteristics still rather stimulate a development of these species, but when it comes to Coregonus lavaretus, in general they suppress its development. The model has also proved quite high habitat requirements for Anquilla anquilla and correctness of the thesis that Esox lucius avoids polluted water. Climatic factors influence is significant for the endogenous variables. The above prejudges the itineration of Rutilus rutilus, Blicca bjoerkna, Coregonus lavaretus, Anquilla anquilla and Esox lucius catch in Charzykowskie Lake. The results of the modelling can be used in managing the fishing economy of the lake.


Author(s):  
Jing Li ◽  
Kristofer Hägg ◽  
Kenneth M. Persson

Artificial groundwater recharge is commonly used for drinking water supply although the resulting water quality is highly dependent on the raw water quality, and in many cases, pre-treatment is required. Such pre-treatment improves the drinking water quality, although how and to what extent pre-treatment affects the subsequent pond infiltration process is still unknown. Here we evaluate the impact of two different pre-treatment methods of water from a eutrophic, temperate lake. An artificial recharge pond was divided into two parts, where one received raw water from a lake only filtered through a 500 µm pore size drum filter, while the other part received pre-treated lake water using chemical flocculation with polyaluminium chloride (PACl), combined with sand filtration (contact filtration). Changes in water quality were assessed at different stages in the two treatment processes. We show that contact filtration reduced phosphorus with 96 %. Moreover, the total organic carbon (TOC) reduction was improved from 55 % to 70 %, corresponding to an average reduction from 3.5 mg/L to 2.4 mg/L In addition, the pre- treatment in the artificial recharge pond reduced the cyanobacteria blooms and reduced the microcystin level. However, there were no sigificant differences in microcystin levels in the groundwater, i.e. the artifical recharge infiltration pond was effective for microcystin removal even without contact filtration. Hence, in a broader drinking water management perspective, the presented method is promising to reduce the levels of cyanobacterial toxins, as well as nutrients and TOC, which are all predicted to increase in a future climate change perspective.


2018 ◽  
Vol 18 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Kwang-Hee Lee ◽  
◽  
Min-Ho Kim ◽  
Nam-Woo An ◽  
Chul-hwi Park

1998 ◽  
Vol 37 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Hany Hassan ◽  
Keisuke Hanaki ◽  
Tomonori Matsuo

Global climate change induced by increased concentrations of greenhouse gases (especially CO2) is expected to include changes in precipitation, wind speed, incoming solar radiation, and air temperature. These major climate variables directly influence water quality in lakes by altering changes in flow and water temperature balance. High concentration of nutrient enrichment and expected variability of climate can lead to periodic phytoplankton blooms and an alteration of the neutral trophic balance. As a result, dissolved oxygen levels, with low concentrations, can fluctuate widely and algal productivity may reach critical levels. In this work, we will present: 1) recent results of GCMs climate scenarios downscaling project that was held at the University of Derby, UK.; 2) current/future comparative results of a new mathematical lake eutrophication model (LEM) in which output of phytoplankton growth rate and dissolved oxygen will be presented for Suwa lake in Japan as a case study. The model parameters were calibrated for the period of 1973–1983 and validated for the period of 1983–1993. Meterologic, hydrologic, and lake water quality data of 1990 were selected for the assessment analysis. Statistical relationships between seven daily meteorological time series and three airflow indices were used as a means for downscaling daily outputs of Hadley Centre Climate Model (HadCM2SUL) to the station sub-grid scale.


2019 ◽  
Vol 55 (4) ◽  
pp. 2708-2721 ◽  
Author(s):  
S. M. Collins ◽  
S. Yuan ◽  
P. N. Tan ◽  
S. K. Oliver ◽  
J. F. Lapierre ◽  
...  

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