scholarly journals Study on Temporal Variation of Physico-chemical Parameters of Buriganga River Water through GIS (Geographical Information System) Technology

1970 ◽  
Vol 44 (3) ◽  
pp. 327-334 ◽  
Author(s):  
Mohammad Moniruzzaman ◽  
Syed Fasle Elahi ◽  
Md Abu Anis Jahangir
Keyword(s):  
Temporal Variation ◽  
Dry Season ◽  
Permissible Limit ◽  
Geographical Information ◽  
Pollution Level ◽  
Substantial Part ◽  
Sample Collection ◽  
Gis Technology ◽  
Wet Season ◽  
Buriganga River

Now a days, Buriganga is one of the most polluted rivers in Bangladesh. Most of the industries and factories of Dhaka are situated on the banks of the Buriganga or very close to the river system. Substantial part of urban sewage of the Dhaka city is also thrown in the Buriganga river. A study was conducted to determine the pollution level of water of Buriganga river. Field investigation was started from June 2004 and Sample collection was conducted six times at an interval of two months up to April, 2005. Different water quality parameters such as pH, EC, TDS, DO, Cations (Na+, K+, Ca2+, Mg2+,NH4+) and anions (HCO3-, Cl-, SO42-, PO43-, NO3-) were examined for water of each sampling points to monitor the level of these parameters where it exceed or within the permissible limit. Present investigation suggested that, Dissolved Oxygen (DO) concentration of water of Buriganga river was very low particularly in dry season (2-3 mg/l). Ammonium (NH4+) and Nitrate (NO3-) concentration near Hazaribagh, Sadarghat, Zinzira, Lalbagh, Kotouali and Shutrapur area were very high, which crossed the maximum permissible limit. In dry season the level of pollution was much high than in wet season. That indicates the water of Buriganga was not safe for drinking purposes, irrigation, fisheries, recreational activities and various industrial uses for most of the times of year. Key words: Buriganga river, GIS technology, Temporal variation DOI: 10.3329/bjsir.v44i3.4406 Bangladesh J. Sci. Ind. Res. 44(3), 327-334, 2009

scholarly journals Microbiological Pollution Level and Seasonal Variations in Physicochemical Parameters of the River Buriganga, Dhaka

2016 ◽  
Vol 29 (1) ◽  
pp. 11-15
Author(s):  
Md Abdul Karim ◽  
Rehena Nasrin Happy ◽  
Md Saifur Rasul ◽  
Sirajul Hoque
Keyword(s):  
River System ◽  
Bacterial Count ◽  
Enteric Bacteria ◽  
Field Investigation ◽  
Quality Parameters ◽  
Pollution Level ◽  
Organic Chemical ◽  
Substantial Part ◽  
Sample Collection ◽  
Urban Sewage

The Buriganga is one of the highly polluted rivers in Bangladesh. Most of the industries and factories of Dhaka are situated on the banks of the river Buriganga or very close to the river system. Substantial part of urban sewage of the Dhaka city is also disposed in the river Buriganga. The study was conducted to determine the pollution level of water of river Buriganga. Field investigation was started from May 2010 and sample collection was conducted in different seasons up to June 2011. Various water quality parameters such as pH, DO, BOD, COD, TDS, Conductivity, Alkalinity, NO2 --N, NO3 --N, NH4+-N and PO4 -, were determined for water of each sampling points to monitor the level of these parameters where it exceeds or remain within the permissible limit. DO concentration of water of river Buriganga was very low ranging between 0.04 and 2.25 mg/l. The aerobic heterotrophic bacterial count ranged between 1.0 × 107 and 2.0 × 108 cfu/100 ml. The highest count of enteric bacteria was noticed during the autumn that was 2.0 × 105 cfu/100 ml. BOD and COD values along with the presence of different species of bacteria clearly indicated that the water of the river Buriganga is highly polluted with the organic, chemical and bacterial pollutants.Bangladesh J Microbiol, Volume 29, Number 1, June 2012, pp 11-15

scholarly journals Intensive Livestock Production Causing Antibiotic Pollution in the Yinma River of Northeast China

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2006
Author(s):  
Hanyu Ju ◽  
Sijia Li ◽  
Y. Xu ◽  
Guangxin Zhang ◽  
Jiquan Zhang
Keyword(s):  
Health Risk ◽  
River Basin ◽  
Rural Areas ◽  
Northeast China ◽  
Rural China ◽  
Livestock Production ◽  
Dry Season ◽  
Sample Collection ◽  
Ambient Conditions ◽  
Wet Season

Antibiotics are increasingly used in livestock production in rural China, raising concerns over pollution and health risk in countryside waterways. The Yinma River Basin in China’s far northeast is an agriculture-dominated area mixed with a densely populated province capitol city, providing a suitable area for investigating the influence of a typical land use mix in Northeast China on riverine antibiotic levels and transport. In this study, we sampled water along the Yinma River from upstream to downstream in a wet and a dry season and analyzed the samples for two popularly used antibiotics, ciprofloxacin (CIP) and norfloxacin (NOR). The goal of the study was to determine the spatiotemporal distribution of the antibiotics in Yinma’s two tributaries, Yitong and Yinma, which drain intensive livestock production land, and to elucidate which environmental and social factors influence the distribution of antibiotics in the cold and low mountainous areas. Water sample collection and instream measurements on dissolved oxygen and other ambient conditions were conducted at 17 locations along the Yinma and Yitong tributaries in August 2015 (wet season) and November 2015 (dry season). In addition to determining CIP and NOR levels, water samples were also analyzed for dissolved organic carbon (DOC), ammonia (NH3), and free chlorine. We found a significantly higher level of NOR when compared to CIP, indicating greater use of the first in livestock production. The level of both antibiotics was higher in the wet season (NOR: 61.063 ± 13.856 ng L−1; CIP: 3.453 ± 0.979 ng L−1) than in the dry season (57.435 ± 14.841 ng L−1; 3.091 ± 0.824 ng L−1), suggesting higher runoff of the antibiotics from the drainage area during the raining season. The level of antibiotics was higher in rural areas, especially forested and wetland areas where livestock typically graze, as well as in the lower river basin. However, the health risk of antibiotics is determined by the physical condition and lifestyle of the residents in the river basin, hence showing a higher vulnerability of the urban area than the rural area.

scholarly journals Status and contamination level of the wastewater of Gebeng industrial estate, Pahang, Malaysia

2015 ◽  
Vol 44 (1) ◽  
pp. 103-110 ◽  
Author(s):  
Md Abdus Sobahan ◽  
Mir Sujaul Islam ◽  
Md Abdul Karim
Keyword(s):  
Dry Season ◽  
Pollution Level ◽  
Contamination Level ◽  
Wet Season ◽  
Industrial Estate

The pH of the water of the studied stations was slightly acidic to neutral, while EC was included within recommended standard. The contamination intensity, pollution level, classification of water indicated that the wastewater having higher contamination level, especially, BOD, COD, NH3-N, PO4, Pb, Cd, Cr, Cu, Co, Ni and Hg concentration were high in all samples with lower DO value. The high COD content indicated that the wastewater of Gebeng area contains higher wastes. However, the results were differed on the basis of seasons and types of industries. It was also found that Pb and Hg concentrations were higher in wet season in comparison to dry, while Cd, Co, Cr, Cu, Zn, Ni, Ba and As concentrations were higher in dry season in comparison to wet. All sampling sites were categorized as highly polluted. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22731 Bangladesh J. Bot. 44(1): 103-110, 2015 (March)

scholarly journals Investigation of Some Water Quality Parameters of the Buriganga River

2013 ◽  
Vol 5 (2) ◽  
pp. 47-52 ◽  
Author(s):  
ASM Saifullah ◽  
MH Kabir ◽  
A Khatun ◽  
S Roy ◽  
MS Sheikh
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Dry Season ◽  
Water Quality Parameters ◽  
Wet Season ◽  
Mean Values ◽  
Different Depths ◽  
Buriganga River

This study deals with the investigation of water quality of the Buriganga river, Dhaka. For this purpose, samples were collected from five locations of the Buriganga river of Bangladesh during wet (monsoon) and dry (winter) season in 2011 to determine the spatial distribution and temporal variation of various water quality parameters. Water samples were collected from three different depths of river. The color was light brown in wet season and slightly black to black color in dry season. The water was found slightly acidic to slightly alkaline (6.6-7.5). Water temperature ranged from 18.2°C (dry) to 27.04°C (wet). The river was found to be highly turbid both in dry and wet season. Biochemical Oxygen Demand (BOD), Electric Conductivity (EC) and Total Dissolved Solids (TDS) were found higher in the dry season compared to that of wet season, while Dissolved Oxygen (DO) was found higher in wet season. The mean values of parameters were EC: wet- 1685 ?s/cm, dry-2250 ?s/cm; DO: wet- 4.9 mg/L, dry-3.7 mg/L; BOD: wet- 26.4 mg/L, dry- 33.4 mg/L; TDS: wet-238 mg/L, dry- 579 mg/L; transparency: wet- 24.6 cm, dry- 22.8 cm.DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14600 J. Environ. Sci. & Natural Resources, 5(2): 47-52 2012

scholarly journals Water quality assessment and spatial–temporal variation analysis in Erhai lake, southwest China

2021 ◽  
Vol 13 (1) ◽  
pp. 1643-1655
Author(s):  
Xuekai Chen ◽  
Xiaobo Liu ◽  
Bogen Li ◽  
Wenqi Peng ◽  
Fei Dong ◽  
...  
Keyword(s):  
Water Quality ◽  
Temporal Variation ◽  
Dry Season ◽  
Quality Data ◽  
Erhai Lake ◽  
Wet Season ◽  
Northern Area ◽  
Southern Area ◽  
Better Than

Abstract For the implementation of lake ecological protection, understanding the water pollution status and spatio–temporal variation of water quality has become the most important thing for water safety in the basin. To analyze the water quality in recent years, water quality data in Erhai lake from 2013 to 2017 were first collected from typical nine monitoring stations. Based on the comprehensive water quality index (WQI) method, the temporal and spatial variation characteristics of water quality in Erhai lake were analyzed, and the main factors affecting water quality in Erhai lake were explored. The results indicated that the water quality of Erhai lake was worse than its target water quality, and total nitrogen (TN) and total phosphorus (TP) exceeded the Class Ⅱ standards (TN: 0.5 mg L−1, TP: 0.025 mg L−1) of China’s Environmental Quality Standard for Surface Water (GB3838-2002). In terms of changes across seasons, the overall lake water quality in the dry season was better than that in the wet season, and TN and TP reached the peak value in September. In terms of spatial distribution, water quality of the northern area was better than that of the southern area in the dry season, whereas water quality of the southern area was better than that of the northern area in the wet season. At present, Erhai lake is at a critical turning point of water eutrophication, and its nutrition status is mainly affected by both nitrogen and phosphorus. The pollution load from the land area is the main factor affecting the deterioration of Erhai lake. Our results can provide a scientific basis for the treatment of the water environment of Erhai lake.

scholarly journals Seasonal variation of water quality and waste loads in Buriganga river with GIS visualization

2020 ◽  
Vol 55 (2) ◽  
pp. 113-130
Author(s):  
MK Alam ◽  
MA Uddin ◽  
MF Satter ◽  
N Majed
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Municipal Wastewater ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Dry Season ◽  
Water Quality Parameters ◽  
High Concentration ◽  
Wet Season ◽  
Buriganga River

Pollution status of the Buriganga river has been assessed in this study using GIS tool to analyze the spatial and seasonal distribution of several water quality parameters from six surface water sampling stations. In addition, characterization of water quality from certain selected outfalls discharging wastewater along the river was accomplished as well. The observed surface water quality concentration was higher during dry season for BOD5 (13.68-22.8 mg/l), COD (22-30 mg/l), TDS (280- 303 mg/l), PO4(5.6- 7.3 mg/l) while an exception was found for NH3-N (0.67- 0.89 mg/l) and Turbidity (25.19 to 91.18). The DO level was found noticeably lower during dry season (1.73 to 2.36 mg/l) than wet season (3.27 to 4.68 mg/l). Moreover, Principal Component Analysis identified high ionic distributions during wet season and more organic pollution during dry season. Water quality parameters TDS, TSS, EC and COD were obtained in high concentration levels from industrial outfalls towards the downstream of the river while BOD5, NH3-N were higher from municipal wastewater outfalls towards the upstream of the river. The observed pollution loading from the outfalls revealed the location at Dholaikhal as the major pollution source in the river with a BOD5 (11681- 12243 kg/day) and TDS (9749- 32348 kg/day) loading. Accordingly, influence of nearest wastewater sources on the surface water quality was evident through GIS representation of the parameters. Bangladesh J. Sci. Ind. Res.55(2), 113-130, 2020

scholarly journals The seasonal changes of the gut microbiome of the population living in traditional lifestyles are represented by characteristic species-level and functional-level SNP enrichment patterns

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xue Zhu ◽  
Jiyue Qin ◽  
Chongyang Tan ◽  
Kang Ning
Keyword(s):  
Gut Microbiome ◽  
Seasonal Changes ◽  
Dry Season ◽  
Urban Setting ◽  
Snp Analysis ◽  
Wet Season ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Genome Level ◽  
Prevalent Species

Abstract Background Most studies investigating human gut microbiome dynamics are conducted on humans living in an urban setting. However, few studies have researched the gut microbiome of the populations living traditional lifestyles. These understudied populations are arguably better subjects in answering human-gut microbiome evolution because of their lower exposure to antibiotics and higher dependence on natural resources. Hadza hunter-gatherers in Tanzania have exhibited high biodiversity and seasonal patterns in their gut microbiome composition at the family level, where some taxa disappear in one season and reappear later. Such seasonal changes have been profiled, but the nucleotide changes remain unexplored at the genome level. Thus, it is still elusive how microbial communities change with seasonal changes at the genome level. Results In this study, we performed a strain-level single nucleotide polymorphism (SNP) analysis on 40 Hadza fecal metagenome samples spanning three seasons. With more SNP presented in the wet season, eight prevalent species have significant SNP enrichment with the increasing number of SNP calling by VarScan2, among which only three species have relatively high abundances. Eighty-three genes have the most SNP distributions between the wet season and dry season. Many of these genes are derived from Ruminococcus obeum, and mainly participated in metabolic pathways including carbon metabolism, pyruvate metabolism, and glycolysis. Conclusions Eight prevalent species have significant SNP enrichments with the increasing number of SNP, among which only Eubacterium biforme, Eubacterium hallii and Ruminococcus obeum have relatively high species abundances. Many genes in the microbiomes also presented characteristic SNP distributions between the wet season and the dry season. This implies that the seasonal changes might indirectly impact the mutation patterns for specific species and functions for the gut microbiome of the population that lives in traditional lifestyles through changing the diet in wet and dry seasons, indicating the role of these variants in these species’ adaptation to the changing environment and diets.

scholarly journals Seasonal Climate Impacts on Vocal Activity in Two Neotropical Nonpasserines

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 319
Author(s):  
Cristian Pérez-Granados ◽  
Karl-L. Schuchmann
Keyword(s):  
Air Temperature ◽  
Daily Rainfall ◽  
Climatic Conditions ◽  
Dry Season ◽  
Climate Impacts ◽  
Calling Behavior ◽  
Wet Season ◽  
Focal Species ◽  
Calling Activity ◽  
Vocal Activity

Climatic conditions represent one of the main constraints that influence avian calling behavior. Here, we monitored the daily calling activity of the Undulated Tinamou (Crypturellus undulatus) and the Chaco Chachalaca (Ortalis canicollis) during the dry and wet seasons in the Brazilian Pantanal. We aimed to assess the effects of climate predictors on the vocal activity of these focal species and evaluate whether these effects may vary among seasons. Air temperature was positively associated with the daily calling activity of both species during the dry season. However, the vocal activity of both species was unrelated to air temperature during the wet season, when higher temperatures occur. Daily rainfall was positively related to the daily calling activity of both species during the dry season, when rainfall events are scarce and seem to act as a trigger for breeding phenology of the focal species. Nonetheless, air temperature was negatively associated with the daily calling activity of the Undulated Tinamou during the wet season, when rainfall was abundant. This study improves our understanding of the vocal behavior of tropical birds and their relationships with climate, but further research is needed to elucidate the mechanisms behind the associations found in our study.

scholarly journals Inorganic Nitrogen Production and Removal along the Sediment Gradient of a Stormwater Infiltration Basin

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 320
Author(s):  
Qianyao Si ◽  
Mary G. Lusk ◽  
Patrick W. Inglett
Keyword(s):  
Removal Efficiency ◽  
N Mineralization ◽  
Inorganic Nitrogen ◽  
Dry Season ◽  
Pollutant Removal ◽  
Net N Mineralization ◽  
Wet Season ◽  
Inorganic N ◽  
N Removal ◽  
Stormwater Infiltration

Stormwater infiltration basins (SIBs) are vegetated depressions that collect stormwater and allow it to infiltrate to underlying groundwater. Their pollutant removal efficiency is affected by the properties of the soils in which they are constructed. We assessed the soil nitrogen (N) cycle processes that produce and remove inorganic N in two urban SIBs, with the goal of further understanding the mechanisms that control N removal efficiency. We measured net N mineralization, nitrification, and potential denitrification in wet and dry seasons along a sedimentation gradient in two SIBs in the subtropical Tampa, Florida urban area. Net N mineralization was higher in the wet season than in the dry season; however, nitrification was higher in the dry season, providing a pool of highly mobile nitrate that would be susceptible to leaching during periodic dry season storms or with the onset of the following wet season. Denitrification decreased along the sediment gradient from the runoff inlet zone (up to 5.2 μg N/g h) to the outermost zone (up to 3.5 μg N/g h), providing significant spatial variation in inorganic N removal for the SIBs. Sediment accumulating around the inflow areas likely provided a carbon source, as well as maintained stable anaerobic conditions, which would enhance N removal.

scholarly journals Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean)

Geosciences ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 493 ◽  
Author(s):  
Vincenzo Marsala ◽  
Alberto Galli ◽  
Giorgio Paglia ◽  
Enrico Miccadei
Keyword(s):  
Indian Ocean ◽  
Landslide Susceptibility ◽  
Integrated Approach ◽  
Geographical Information ◽  
Susceptibility Assessment ◽  
Gis Technology ◽  
Mountain Areas ◽  
Landslide Susceptibility Assessment ◽  
Hydrological Hazards ◽  
Mauritius Island

This work is focused on the landslide susceptibility assessment, applied to Mauritius Island. The study area is a volcanic island located in the western part of the Indian Ocean and it is characterized by a plateau-like morphology interrupted by three rugged mountain areas. The island is severely affected by geo-hydrological hazards, generally triggered by tropical storms and cyclones. The landslide susceptibility analysis was performed through an integrated approach based on morphometric analysis and preliminary Geographical Information System (GIS)-based techniques, supported by photogeological analysis and geomorphological field mapping. The analysis was completed following a mixed heuristic and statistical approach, integrated using GIS technology. This approach led to the identification of eight landslide controlling factors. Hence, each factor was evaluated by assigning appropriate expert-based weights and analyzed for the construction of thematic maps. Finally, all the collected data were mapped through a cartographic overlay process in order to realize a new zonation of landslide susceptibility. The resulting map was grouped into four landslide susceptibility classes: low, medium, high, and very high. This work provides a scientific basis that could be effectively applied in other tropical areas showing similar climatic and geomorphological features, in order to develop sustainable territorial planning, emergency management, and loss-reduction measures.

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