Groundwater quality under stress: contaminants in the Kharaa River basin (Mongolia)

Hofmann, Jürgen; Watson, Vanessa; Scharaw, Buren

doi:10.1007/s12665-014-3148-2

Cited by 48 publications

(20 citation statements)

References 12 publications

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“…Nevertheless, localized concentrations of population, an often poor state of urban wastewater infrastructures, high livestock densities in the riverine floodplains, and large-scale mining activities are potential threats to the aquatic ecosystems of the Kharaa. Among the key stressors affecting water quality and the aquatic ecosystem of the Kharaa are rising nutrient inputs, high fine sediment loads, the loss of habitat integrity of hyporheic and riparian zones, and mining-related influxes of toxic substances [16,37].…”

Section: Water Quality and Aquatic Ecosystem Statusmentioning

confidence: 99%

“…The ash basin of Darkhan's thermal power plant, which is located near two of the city's drinking water wells, is heavily contaminated with arsenic [40,41]. Groundwater in several parts of Darkhan shows signs of wastewater contamination, e.g., through elevated boron and chloride levels [37]. Shallow wells located in the proximity of latrines are potential sources of water-borne disease transmission, but reliable data on microbiological water quality and water-borne infections are almost non-existent [56].…”

Section: Water In Urban Mongolia: the Example Of Darkhanmentioning

confidence: 99%

“…The observed gradients helped to (a) characterize the manmade increase of pollutant concentrations beyond natural background levels and (b) localize pollutant inflows. Obsolete and/or insufficient urban wastewater management, effluents of gold mining and livestock farming along the river banks were identified as main stressors, and (potential) pollution hot spots were mapped [16,27,37,40,41,44]. Nutrient and sediment emissions, the relative importance of different sources and transport loads were not quantified.…”

Section: Before the Project (2006)mentioning

confidence: 99%

“…River-bank erosion was identified as the predominant fine sediment source [47,48]. For the period 2007 to 2013, the transport loads of sediments, nutrients, heavy metals, and sediments were calculated based on water quality and hydrological data [37,[44][45][46].…”

Section: Before the Project (2006)mentioning

confidence: 99%

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Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Karthe

Hofmann

Ibisch

et al. 2015

Water

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Abstract:Mongolia is not only a water-scarce but also a data-scarce country with regard to environmental information. At the same time, regional effects of global climate change, major land use changes, a booming mining sector, and growing cities with insufficient and decaying water and wastewater infrastructures result in an increasingly unsustainable exploitation and contamination of ground and surface water resources putting at risk both aquatic ecosystems and human health. For the mesoscale (≈15,000 km 2 ) model region of the Kharaa River Basin (KRB), we investigated (1) the current state of aquatic ecosystems, water availability and quality; (2) past and expected future trends in these fields and OPEN ACCESSWater 2015, 7 3487 their drivers; (3) water governance structures and their recent reforms; and (4) technical and non-technical interventions as potential components of an integrated water resources management (IWRM). By now, the KRB is recognized as one of the most intensively studied river basins of the country, and considered a model region for science-based water resources management by the Mongolian government which recently adopted the IWRM concept in its National Water Program. Based on the scientific results and practical experiences from a six-year project in the KRB, the potentials and limitations of IWRM implementation under the conditions of data-scarcity are discussed.

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Section: Water Quality and Aquatic Ecosystem Statusmentioning

confidence: 99%

Section: Water In Urban Mongolia: the Example Of Darkhanmentioning

confidence: 99%

Section: Before the Project (2006)mentioning

confidence: 99%

Section: Before the Project (2006)mentioning

confidence: 99%

See 2 more Smart Citations

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Karthe

Hofmann

Ibisch

et al. 2015

Water

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“…Furthermore, in evaluating the quality of groundwater, the use of appropriate tools and techniques for qualitative data processing is very efficient. One useful method for assessing water quality is groundwater quality index (GQI), which is calculated for groundwater (3,7). GQI checks the components in the available water with various quality levels.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Quality Assessment Based on Geographical Information System and Groundwater Quality Index

Derakhshan¹,

Almodaresi²,

Faramarzian³

et al. 2015

Avicenna J Environ Health Eng

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Iran is located in an arid and semi-arid part of the world. Accordingly, the management of the water resources in the country is a priority. In this regard, determining the quality and pollution of surface water and groundwater is very important, especially in areas where groundwater resources are used for drinking. Groundwater quality index (GQI) checks the components of the available water with various quality levels. To assess the quality of drinking groundwater of Yazd-Ardakan plain according to GQI in geographical information system (GIS) environment, the electrical conductivity, sodium, calcium, magnesium, chlorine, pH, sodium adsorption ratio, bicarbonate, sulfate, potassium, water hardness, and all substances dissolved in the waters of 80 wells were determined. The samples were obtained from Yazd Regional Water Organization from 2005 to 2014. Using this data, the map components were plotted by Kriging geostatistical method. Then, the map of GQI was prepared after normalizing each map component, switching to a rating map, and extracting the weight of each component from the rating map. Based on the GQI index map, the index point which was 87 in 2005 has increased to 81 in 2014. These maps show a decline in groundwater quality from west to the east region. This decline in groundwater quality is due to the existence of Neogene Organizations in the east and geomorphologic unit of the bare epandage pediment in the west. The map removal and single-parameter sensitivity analysis showed that GQI index in Yazd-Ardakan plain is more sensitive to the components of electrical conductivity (EC), total dissolved solids (TDS), and total hardness (TH). Therefore, these components should be monitored more carefully and repeatedly.

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Synthesis and characterization of 1,3‐butadiene‐containing hyperbranched conjugated polymers as a selective chemosensors for Fe³⁺ ions

Chen

Luo

et al. 2021

J of Applied Polymer Sci

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Hyperbranched conjugated polymers (P1, P2 and P3) containing different aryl groups appended with carboxylic ester groups were synthesized by metal‐free catalyzed polymerization via A2 + B3 type monomers. These as‐prepared polymers can be dissolved well in common organic solvents and have good thermal stability. These polymers were investigated as fluorescence chemosensor for the detection of biologically important metal ion Fe3+. The corresponding Stern‐Volmer constants (Ksv) of P1, P2 and P3 were 3.99 × 104 M−1, 5.15 × 104 M−1 and 3.99 × 104 M−1, respectively. The detection limits of 1.203 × 10−7 M for P1, 8.487 × 10−7 M for P2 and 7.158 × 10−6 M for P3 were achieved. In addition, the water‐soluble hyperbranched conjugated polymers were obtained by hydrolysis of neutral polymer P1, P2 and P3. The ability of water‐soluble polymers to detect Fe3+ ion in an aqueous solution was investigated in this work. The results demonstrated that the different aryl moieties in backbone of hyperbranched polymers mainly affected their energy band instead of their selective detection of Fe3+ ions. All the polymers were highly sensitive and selective toward Fe3+ ions in organic solvents and aqueous solution, indicating that these polymers could be used as fluorescence chemosensor for Fe3+ ions in real time.

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Groundwater quality under stress: contaminants in the Kharaa River basin (Mongolia)

Cited by 48 publications

References 12 publications

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Groundwater Quality Assessment Based on Geographical Information System and Groundwater Quality Index

Synthesis and characterization of 1,3‐butadiene‐containing hyperbranched conjugated polymers as a selective chemosensors for Fe³⁺ ions

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Groundwater quality under stress: contaminants in the Kharaa River basin (Mongolia)

Cited by 48 publications

References 12 publications

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Groundwater Quality Assessment Based on Geographical Information System and Groundwater Quality Index

Synthesis and characterization of 1,3‐butadiene‐containing hyperbranched conjugated polymers as a selective chemosensors for Fe3+ ions

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Synthesis and characterization of 1,3‐butadiene‐containing hyperbranched conjugated polymers as a selective chemosensors for Fe³⁺ ions