Stoneworts (Characeae) and associated macrophyte species as indicators of water quality and human activities in the Pays-de-la-Loire region, France

Abstract. Nurruhwati I, Ardiansyah F, Yuniarti, Yuliadi LPS, Partasasmita R. 2020. Benthic foraminifera as ecological indicators in the Tunda Island Waters Serang District, Banten Province, Indonesia. Biodiversitas 21: 3142-3148. Coral reef communities all across Southeast Asia are experiencing intense pressures from extensive tourism and massive coastal development. A prediction regarding coral reefs’ capacity to recover is a necessity since it is constantly exposed to damaging events such as mass bleaching and increased erosion. Tunda Island (which is highly rich in biodiversity and include coral reefs, mangrove forests, seagrass, and algae meadows) was sampled at 10 different sites in August 2019. Coral reefs are highly influenced by ecological factors such as temperature variability, salinity, DO, and pH. The assessments were conducted using the FORAM Index (FI) to accurately predict the capacity of coral reefs to recover based on relative abundances of symbiont-bearing larger benthic foraminifera in reef sediments. The FI values ranged from 3.7 to 7.9 with a median of 4.7 and the average of 5 indicates that the water quality should support the recovery of reefs by reef-building corals and symbiont-bearing larger benthic foraminifers. The lowest FI value sampled was recorded from a site with extensive human activities (FI=3.4), while the highest one was recorded from a site with minimal to none human activities (FI=7.9), which indicates that the deterioration of water quality is caused by wastes from tourism activities near the coastal area.

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

Water Science & Technology Water Supply ◽

10.2166/ws.2020.001 ◽

2020 ◽

Vol 20 (2) ◽

pp. 688-699 ◽

Cited By ~ 2

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.

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Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series

Remote Sensing ◽

10.3390/rs12213622 ◽

2020 ◽

Vol 12 (21) ◽

pp. 3622

Author(s):

Mengmeng Cao ◽

Kebiao Mao ◽

Xinyi Shen ◽

Tongren Xu ◽

Yibo Yan ◽

...

Keyword(s):

Water Quality ◽

Human Activities ◽

Water Surface ◽

Algal Bloom ◽

Environmental Changes ◽

Climatic Factors ◽

Dongting Lake ◽

Dynamic Learning ◽

Traditional Methods

Significant water quality changes have been observed in the Dongting Lake region due to environmental changes and the strong influence of human activities. To protect and manage Dongting Lake, the long-term dynamics of the water surface and algal bloom areas were systematically analyzed and quantified for the first time based on 17 years of Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The traditional methods (index-based threshold algorithms) were optimized by a dynamic learning neural network (DL-NN) to extract and identify the water surface area and algal bloom area while reducing the extraction complexity and improving the extraction accuracy. The extraction accuracy exceeded 94.5% for the water and algal bloom areas, and the analysis showed decreases in the algal bloom and water surface areas from 2001–2017. Additionally, the variations in the water surface and algal bloom areas are greatly affected by human activities and climatic factors. The results of these analyses can help us better monitor human contamination in Dongting Lake and take measures to control the water quality during certain periods, which is crucial for future management. Moreover, the traditional methods optimized by the DL-NN used in this study can be extended to other inland lakes to assess and monitor long-term temporal and spatial variations in algal bloom areas and can also be used to acquire baseline information for future assessments of the water quality of lakes.

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Water Quality Degradation Effects on Freshwater Availability:Impacts of Human Activities

Water International ◽

10.1080/02508060008686817 ◽

2000 ◽

Vol 25 (2) ◽

pp. 185-193 ◽

Cited By ~ 66

Author(s):

Norman E. Peters ◽

Michel Meybeck

Keyword(s):

Water Quality ◽

Human Activities ◽

Quality Degradation

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IDENTIFICATION OF THE SOURCES GENERATING IMPACT ON THE WATER QUALITY OF THE EAST JIU BASIN

Mining science and technology ◽

10.17073/2500-0632-2018-2-34-40 ◽

2018 ◽

pp. 34-41

Author(s):

Alexandru Simion ◽

Maria Lazar

Keyword(s):

Water Quality ◽

Value Chain ◽

Water Quality Index ◽

Human Activities ◽

Quality Index ◽

Raw Materials ◽

Negative Influence ◽

Economic Activities ◽

Negative Impacts

The main economic activity in the Jiu Valley is mining, which provides to the society an important content of mineral raw materials required for the development and progress, representing the main activity in producing the value chain. The majority of the mining activities and other economic activities deployed along the basin of the East Jiu generates both negative environmental impacts (more or less serious) and positive impacts such as those related to employment, staff training, creating infrastructures etc. In the most cases, the negative impacts of the human activities can be much improved up to a point or even eliminated through the remedial measures, particularly through environmental rehabilitation of the affected areas. But if a watercourse is strongly affected by sediments generated by the human activity still on the top side, the pollution will be intensifed much more on the bottom side with signifiant changes on the aquatic ecosystems and with an impossibility of consumption and the use of the water resources by the riparian population. The main objective of this paper consists of the identification and the description of all human activities presented along the East Jiu and the analayses of the negative influence exerted on the river water quality. To compare the water quality of the East Jiu and monitoring its variations in time, it was used the method water quality index (WQI), having the straight purpose of aggregating individual indicators (expressed in physical units) in a unique water quality index.

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Trend Of Water Quality Status In Kelantan River Downstream, Peninsular Malaysia

Jurnal Rekayasa Sipil (JRS-Unand) ◽

10.25077/jrs.16.3.178-184.2020 ◽

2020 ◽

Vol 16 (3) ◽

pp. 178

Author(s):

Arniza Fitri ◽

Khairul Nizam Abdul Maulud ◽

Dian Pratiwi ◽

Arlina Phelia ◽

Farli Rossi ◽

...

Keyword(s):

Water Quality ◽

Land Use ◽

Water Samples ◽

Human Activities ◽

Oxygen Demand ◽

Quality Parameters ◽

Peninsular Malaysia ◽

Water Quality Status ◽

Quality Status

The issues of freshwater pollutions and the high demand of clean freshwater for daily human activities have forced developing countries such as Malaysia to continuously monitor the quality of the freshwater. The present study objective is to present the trend of water quality status in the Kelantan River downstream, Peninsular Malaysia from 2005 to 2018. Water samples were collected during dry and monsoon seasons from a sampling station located at downstream of the Kelantan River. Water quality parameters such as temperature, pH and dissolved oxygen (DO) were measured in situ while other parameters were analysed in the laboratory based on retrieved water samples. Water quality status was determined based on National Water Quality Standard (NWQS) for River in Malaysia by calculating the water quality index (WQI) according to the concentration of six water quality parameters involving pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (TSS) and Ammonia Nitrogen (AN). The results showed that Kelantan River had good water quality during the dry season classified in Class II at 2005. The water quality was found to be slightly lower during the monsoon season in year 2006. In addition, increasing the number of construction, human activities in the land use areas, land use changes and the sewage water from domestic, industrial, wet market and food outlets in the Kelantan State have declined the water quality in Kelantan River from Class II (in 2005) to Class III (in 2010 and 2011) and to become Class IV in 2017 to 2018. The results of the present study are expected to give valuable information for the water managers in order to deal with better strategies in controlling the quality of freshwater at the Kelantan River and minimize the incidence of pollution-oriented problems, thus the water can be utilized for various water uses with appropriate quality.

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Water quality and zooplankton community of the Eme River, Umuahia, Southeast Nigeria

Limnology and Freshwater Biology ◽

10.31951/2658-3518-2021-a-5-1186 ◽

2021 ◽

pp. 1186-1194

Author(s):

E.D. Anyanwu ◽

◽

O.G. Adetunji ◽

S.N. Umeham ◽

◽

...

Keyword(s):

Water Quality ◽

Community Structure ◽

Human Activities ◽

Anthropogenic Activities ◽

Zooplankton Community ◽

Sand Mining ◽

Sample Collection ◽

Zooplankton Community Structure ◽

Filtration Method ◽

Pollution Indicator

Abstract. Aquatic ecosystems and biota are often adversely affected by anthropogenic activities. Consequently, zooplanktons have been used to monitor anthropogenic impacts because of their sensitivity to their environment. Water quality and zooplankton community of the Eme River, Umuahia, was assessed between December 2017 and November 2018. The study was carried out in six stations in relation to human activities. Human activities in the watershed were dominated by sand mining. A quantitative filtration method was used for the zooplankton sample collection while standard sample collection and analytical methods were used for the water samples. The zooplankton species recorded were 27 while the most abundant zooplankton group was Rotifera. A known pollution indicator, Daphnia pulex, had the highest number of individuals. The effects of human activities in the watershed were reflected in the results of some of the physicochemical parameters of the river. The zooplankton assemblage and community structure also reflected the effects of human activities in the river. Combined effects of human activities and season contributed to the relatively low zooplankton abundance recorded particularly in some downstream stations. The impacts of sand mining on water quality and zooplankton were more remarkable in the downstream stations (4 6) where the activity was intense while a large number of children swimming and related activities during the dry season had some impacts in station 1. The dominance of indicator and tolerant species indicated that the river was undergoing eutrophication. Sand mining among other observed anthropogenic activities was a major contributor to the nutrient enrichment in the river. The major water quality parameters influencing the zooplankton community structure was revealed by canonical correspondence analysis.

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