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"River water"
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Managing basin interdependencies in a heterogeneous, highly utilized and data scarce river basin in semi-arid Africa : the case of the Pangani River Basin, Eastern Africa
\"For integrated water resources management both blue and green water resources in a river basin and their spatial and temporal distribution have to be considered. This is because green and blue water uses are interdependent. In sub-Saharan Africa, the upper landscapes are often dominated by rainfed and supplementary irrigated agriculture that rely on green water resources. Downstream, most blue water uses are confined to the river channels, mainly for hydropower and the environment. Over time and due to population growth and increased demands for food and energy, water use of both green and blue water has increased. This book provides a quantitative assessment of green-blue water use and their interactions. The book makes a novel contribution by developing a hydrological model that can quantify not only green but also blue water use by many smallholder farmers scattered throughout the landscape. The book provides an innovative framework for mapping ecological productivity where gross returns from water consumed in agricultural and natural vegetation are quantified. The book provides a multi-objective optimization analysis involving green and blue water users, including the environment. The book also assesses the uncertainty levels of using remote sensing data in water resource management at river basin scale.\" --Back cover.
Book
Evaluation of heavy metal risk potential in Bogacayi River water (Antalya, Turkey)
This study analyzed 25 river water samples collected from the Bogacayi River in Antalya, Turkey, to evaluate the potential risk of pollution by heavy metals. Concentrations of As, Ba, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Se, Sr, and V were determined by inductively coupled plasma mass spectrometry (ICP-MS). The method was validated prior to analysis in terms of linearity, limit of detection (LOD), limit of quantification (LOQ), and recovery. In addition, a certified standard (SPS-SW2 surface water) was used to verify method trueness. Method validation data and results obtained from the certified material suggested that the method could be applied to determine elemental compositions of the samples. Although various concentrations of As, Ba, Cd, Cr, Cu, Mn, Ni, Pb, and Sr were found in the samples, no Hg, V, Co, and Se concentrations were found. The highest concentration of Pb, Cd, and As was found in the samples from the 22nd, 16th, and 5th sampling stations, respectively. Concentrations of the studied elements were aligned from high to low as Sr > Ba > Ni > Cr > Cu > Mn > Pb > As > Cd. To evaluate the risk potential of metallic pollution, the data were used to calculate the heavy metal pollution index (HPI). The HPI values were found to be in the range from 7.81 to 43.97 (mean 25.48). Samples from upstream seemed to show lower risk potentials (<15) than those from downstream (>30); however, all HPI values were lower than 100, which is the critical HPI value for drinking safety.
Journal Article
Spatial distribution of physicochemical-bacteriological parametric quality and water quality index of Gomti River, India
Surface water bodies are vital source of water for human consumption, domestic needs, agriculture, industrial activities, and also for aquatic life and ecosystems. In this study, a stretch of river Gomti was studied at 5 sites in Lucknow for two consecutive seasons during 2019. The physicochemical-bacteriological parameters of water and sediment samples were analyzed, followed by multivariate statistics. Mean values of pH, turbidity, EC, TS, TDS, TSS, DO, BOD, COD, nitrate, phosphate, sulfate, total alkalinity, total hardness, chloride, and fluoride during the pre-monsoon period were 7.4 ± 0.2, 5.2 ± 3.3 (NTU), 444.4 ± 97.4 (µS/cm), 274.6 ± 61.6, 254.3 ± 50.2, 21.9 ± 11, 5.4 ± 1.6, 10.2 ± 5.9, 31.2 ± 13.3, 1.2 ± 0.5, 1.7 ± 1.1, 25.9 ± 3.7, 204 ± 41.8, 146.2 ± 11.5, 15.5 ± 8.7, and 0.5 ± 0.1 mg/l, respectively. The corresponding values during the post-monsoon season were 7.5 ± 0.2, 5.5 ± 3.2 (NTU), 436 ± 75.1 (µS/cm), 273.7 ± 124.2, 209.7 ± 82.5, 63.9 ± 43.4, 5.6 ± 1.6, 15.8 ± 8.9, 39.2 ± 23.5, 5.4 ± 4.6, 1.4 ± 0.9, 25.5 ± 5, 199.2 ± 36.6, 134 ± 8.6, 20.2 ± 8.9, and 1.7 ± 0.2 mg/l, respectively. Concentration of pollutants significantly increased by 5–15% from sampling station S1 (upstream) to S5 (downstream). Enumerations of fecal coliform and
Escherichia coli
bacteria were low at S1 but significantly higher at the S5 site. WQI ranged from 88 to 345 during pre-monsoon and 159 to 422 during post-monsoon period, indicating poor water quality which was unsuitable for drinking purposes. Strong positive correlations (≥ 0.9) were observed among pH, chloride, phosphate, sulfate, turbidity, conductivity, TS, TDS, BOD, and COD for water samples during both seasons. The data reveals that pollution load increases gradually from upstream to downstream due to the increasing discharge of raw sewage. Regulatory bodies should formulate strict regulations and ensure their implementation for the protection and management of river water quality.
Journal Article
Efficiency of micropollutant removal through artificial recharge and riverbank filtration: case studies of Káraný, Czech Republic and Dresden-Hosterwitz, Germany
The aim of this study was to compare the efficiency of pharmaceuticals and personal care products’ (PPCP) removal in the waterworks at Káraný (Czech Republic) and Dresden-Hosterwitz (Germany). Both waterworks use similar technology of drinking water production (combination of bank filtration and artificial recharge) and have similar river water quality (Jizera and Elbe river). A comparison of 2-year monitoring results shows high efficiency of removing PPCP contained in river water. However, at both waterworks, there are groups of substances for which natural treatment steps alone are not sufficient. In the case of Káraný, it is benzotriazole, sulfamethoxazole, and methylparaben; in the Dresden waterworks, it is oxypurinol, sulfamethoxazole, carbamazepine, and lamotrigine.
Journal Article
Ganga rejuvenation : governance challenges and policy options
\"This book focuses on governance and management issues in the much publicized 'Ganga Rejuvenation Project', led by the Indian Prime Minister Mr. Narendra Modi. Attempts over the past three decades to clean up and rejuvenate one of the world's greatest rivers have proved futile. The major reasons for the lack of success are absence of long-term planning, poor co-ordination and failure to sustain whatever little infrastructure for water and sewage treatment could be developed. Focusing on these broad aspects, the book explores spaces for better governance through active community participation, knowledge management, prospects of Public-Private-Partnership, e-governance, youth education, waterfront development, lessons from past failures, comparative international analogies, utilization of external aid and global expertise in successful implementation of a sustainable long-term plan for a river basin's integrated development of both the economy and environment. A host of activities, such as, improving pollution monitoring systems, new development plans for tourism enhancement; river dredging and sewering riparian cities are already being carried in the hope of quick results. The Government of India has also appointed a task force for preparation of a long-term strategy. However, substantial knowledge gaps persist especially with regard to governance. This book aims to address the governance and policy issues and will be a very timely contribution to cleaning as well as rejuvenating Ganga, a river that is lifeline of millions of people.\"--Back cover.
Book
Managing water quality of a river using an integrated geographically weighted regression technique with fuzzy decision-making model
In the recent times, water quality of most of the rivers in India has been steadily degrading due to increasing numbers of point and non-point sources of pollution. The tremendous increase in population, rapid urbanization, change in irrigation patterns, and unplanned growth of industries without proper enforcement of environmental standards are some of the major causes for poor quality of river water. In addition, unpredictable and scanty rainfall is resulting in uncertain natural stream flow which further leads to uncertainty in assessing and predicting the quality of river water. This paper deals with the assessment of the overall status of water quality of a river by developing a fuzzy-based water quality evaluation system. The quality of water needed for different beneficial uses is based on the value of various parameters. Since the quality attributes of the parameters are fuzzy in nature, they have been described by the linguistic variables. The water quality index of each specific site is then calculated by aggregating the attributes with respect to their degree of importance, which is also expressed in the form of linguistic terms. Finally, a case study of the river Yamuna has been carried out to evaluate the fuzzy comprehensive water quality index (FCWQI). In this study, the FCWQI has been determined only for the use of water for drinking purposes though this model can be applied for other uses as well. The FCWQI developed herein is based on an integrated approach, which clearly describes the overall state of the water quality by a single rational number. Spatial and parametric sensitivity of the FCWQI model of the river basin is also determined using GIS-based geographically weighted regression technique. The methodology suggests a novel way of introducing parametric sensitivity in defining water quality indices used for surface water quality assessment.
Journal Article
Assessing the impact of land use and land cover on river water quality using water quality index and remote sensing techniques
The impact of land use on water quality is becoming a global concern due to the increasing demand for freshwater. This study aimed to assess the effects of land use and land cover (LULC) on the surface water quality of the Buriganga, Dhaleshwari, Meghna, and Padma river system in Bangladesh. To determine the state of water, water samples were collected from twelve locations in the Buriganga, Dhaleshwari, Meghna, and Padma rivers during the winter season of 2015 and collected samples were analysed for seven water quality indicators: pH, temperature (Temp.), conductivity (Cond.), dissolved oxygen (DO), biological oxygen demand (BOD), nitrate nitrogen (NO
3
-N), and soluble reactive phosphorus (SRP) for assessing water quality (WQ). Additionally, same-period satellite imagery (Landsat-8) was utilised to classify the LULC using the object-based image analysis (OBIA) technique. The overall accuracy assessment and kappa co-efficient value of post-classified images were 92% and 0.89, respectively. In this research, the root mean squared water quality index (RMS-WQI) model was used to determine the WQ status, and satellite imagery was utilised to classify LULC types. Most of the WQs were found within the ECR guideline level for surface water. The RMS-WQI result showed that the “fair” status of water quality found in all sampling sites ranges from 66.50 to 79.08, and the water quality is satisfactory. Four types of LULC were categorised in the study area mainly comprised of agricultural land (37.33%), followed by built-up area (24.76%), vegetation (9.5%), and water bodies (28.41%). Finally, the Principal component analysis (PCA) techniques were used to find out significant WQ indicators and the correlation matrix revealed that WQ had a substantial positive correlation with agricultural land (
r
= 0.68,
P
< 0.01) and a significant negative association with the built-up area (
r
= − 0.94,
P
< 0.01). To the best of the authors’ knowledge, this is the first attempt in Bangladesh to assess the impact of LULC on the water quality along the longitudinal gradient of a vast river system. Hence, we believe that the findings of this study can support planners and environmentalists to plan and design landscapes and protect the river environment.
Journal Article