Damodar River Research Articles

Evaluation of spatio-temporal variation of water quality and source identification of conducive parameters in Damodar River, India.

The lower course of the Damodar River in West Bengal is one of the most polluted stretches in the Ganga River basin. There is a lack of research along the whole course of the Damodar, and parameter level analysis receives little attention. Eleven monitoring sites were chosen based on the potential sources of pollution for 6years (2014-2019). Multivariate statistical techniques (factor analysis (FA), cluster analysis (CA), and discriminate analysis (DA)) evaluate the spatial and temporal variation of Damodar River water quality by considering 24 parameters. Factor analysis extracts the most influential seasonal parameters, and stepwise DA extracts ammonia, DO, potassium, temperature, total coliform, TFS, and turbidity, which are the most responsible parameters for seasonal variation of the water quality. CA classify sampling stations into three groups helping to identify the spatial variation of water quality. Ammonia, BOD, calcium, chloride, conductivity, DO, sodium, sulfate, temperature, Alkalinity, TDS, hardness, TSS, and turbidity are the most influential variables for spatial variation extracted through stepwise DA. Monsoon season shows a higher pollution level due to the contribution from both point and non-point sources. Due to high-density urban areas and large-scale industries, the middle course is more polluted. The Canadian Council of Ministers of the Environment (CCME) water quality index (WQI) accesses the water quality in temporal and spatial scales. The resultant water quality pattern is matched with the derived result from multivariate analysis. Poor water quality is regular at all sample sites in all seasons.

Assessment of impacts of altered environmental flow on fishing in lower Damodar river basin, India

Rivers are one of the prime sources of freshwater and act as the arteries of the Earth. While the growing pressure of meeting freshwater demands through extensive large and small-scale water infrastructures is indispensable, maintaining the river's natural flow is vital in sustaining the aquatic ecosystem harbored within it. Hence, it is essential to regulate the environmental flow for the sustainability of the rivers and their ecosystem management. This paper focused on analyzing the importance of maintaining the environmental flow by computing the degree of deviation in the river flow regime from the natural flow conditions. It used the Range of Variability Approach (RVA) to calculate the degree of deviation while also lending a special focus on the implications of altered river flow regime on the socio-economic activities especially fishing as a livelihood for the communities residing along the flanks of river Damodar in the downstream region. The daily discharge data measured during pre-and post-dam construction at the Durgapur barrage site of the lower Damodar river basin were used to compute the degree of alteration. It applied the convergent parallel mixed methodology to simultaneously analyse the qualitative responses and the quantitative data to effectively interpret the impact of altered environmental flow on the fishing livelihood of the communities. Thus, the analysis emphasized the importance of maintaining the environmental flow for ensuring the well-being of humans reliant on river systems. This shall also accentuate and contribute to the idea of balancing between development and sustainability.

A study on water pollution scenario of the Damodar river basin, India: assessment of potential health risk using long term database (1980–2019) and statistical analysis

The present work deals with a detailed study of India's Damodar river basin's pollution profile (groundwater, surface water, industrial water, and mine water). The present paper aims to create a large data bank comprising the latest (2019; through water sampling and analysis) and historical (1980-2018; through literature survey) data on heavy metal loads (HML) and other hydrochemical parameters in water bodies of the Damodar basin (at 99 sampling locations). Bivariate and multivariate statistical analyses were applied to determine the possible sources of the HML in the groundwater and surface water. Anthropogenic inputs from industrial effluents and mining activities were identified as the sources of the HML. The degree of HML exposure (Fe, Cu, Zn, Mn, As, Co, Cd, Hg, Cr, Ni, and Cu) was considered for computing the heavy metal pollution indices (HMPI). Associated potential health risk to the local population was also studied. Most HMPIs (vary within 50-9000) appeared to cross the critical value (~ 100). According to the results of noncarcinogenic risk, most hazard indices (varied within 0.01-116.34) surpassed the allowable limit (~ 1), demonstrating detrimental health effects on adults and children. Ni, Cd, As, and Cr showed very high cancer indices (varied within 9.5 × 10-5-1.76 × 10-1) that could be considered as high risk (≫ 1 × 10-4, allowable limit) for cancer via ingestion and dermal pathways. A carcinogenic risk assessment map of the basin was also prepared for the first time. Durgapur and Burnpur-Asansol cities have been identified as the most vulnerable areas. The authors also compared the water quality parameters of the Damodar river with other highly polluted and major rivers of India. The authors recommended (i) strict regulation and efficient management of HML monitoring, (ii) initiating public awareness programme about Damodar's pollution, and (iii) a detailed medical survey to understand the impact of water pollution on the population.

Flood characteristics and dynamics of sediment environment during Anthropocene: experience of the lower Damodar river, India

Flood characteristics and dynamics of sediment environment during Anthropocene: experience of the lower Damodar river, India

Multimodel quantification of green and blue water components and its error propagations through parameter transferability approach across input choices

A robust quantitative assessment of water security through efficient water accounting concepts like blue and green water footprints has gained a lot of attention for water resources management at river basin scale. However, such water accounting tools and models have dependencies to the choice of precipitation data used to drive the model, as the input bias propagate into simulated streamflow through interaction with different hydrological processes. This study performs a holistic investigation of sensitivity of water accounting fractions like blue water flow (BWF), green water flow (GWF), green water storage (GWS), and their dependencies on secondary precipitation datasets (SPDs) choices using a lumped conceptual rainfall-runoff model [Hydrological Simulation model (HYSIM)] and a physically based semi-distributed hydrological model [Soil and Water Assessment Tool (SWAT)] in the Damodar River basin, India. These models were driven by seven gridded precipitation datasets, including India Meteorological Department (IMD) data, Indian Monsoon Data Assimilation and Analysis (IMDAA) data, Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE) data, Watch forcing ERA-Interim data, Climate Hazard Group Infrared Precipitation with Station data (CHIRPS), PRINCETON precipitation data and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Records (PERSIANN-CDR) data. The reference IMD based multimodel results revealed that the annual average blue and green water components of the Damoder River were in the range of 558–656 mm/year, 574–728 mm/year and 34–112 mm/year for BWF, GWF, and GWS respectively during 1994–2010 period. The results obtained after applying parameter transferability approach across the input space have revealed exact quantification of choice dependent annual variations in spatial and temporal characteristics of BWF, GWF, and GWS. A further evaluation based on error propagation ratios (γCC, γrRMSE, γB) has revealed a quantification of input choice induced dampening/magnification effects on flow estimations of both the HYSIM and SWAT and these quantifications were free from the compensation effects of recalibration. The findings in this study demonstrate that the change in annual average BWF varies between −46.97% to +41.38% in comparison to benchmark IMD simulations, and the corresponding changes for GWF is between −19.63% and +17.06% and for GWS is between −29.97% to +35.5% with different choices of SPD scenarios. The systematic (γB) and random (γrRMSE) error propagation factors during monsoon season are larger for SWAT model ([0.21–0.78], [0.69–0.89] respectively) than that of HYSIM model ([0.18–0.74], [0.66–0.81], respectively) and it is varying with choice of different SPDs.

Estimation of Dry-Season Fluctuation in Specific Yield using Water Budgeting Approach in Bonasuria Micro-watershed of Damodar River Basin, India

ABSTRACT Heterogeneity in lithological and structural characteristics results in variation of specific yield (Sy) value in spatial domain. It also depends upon degree of saturation of aquifer. This imparts temporal variation in Sy value in an aquifer. Bonasuria micro-watershed of Damodar river-basin in India is selected to undertake the study of estimation of temporal variation in Sy based upon monthly ground water budgeting for three non-monsoon months. Sy value gradually changes with progression of summer months. Average specific yield value has been estimated as 0.002593 in March and 0.001446 in April. Determined specific yield values indicate low water storage capacity of the shallow aquifer system. This highlights the need of efficient water management for sustainable development of the area. Present study indicates that this can be achieved through storing the effluent seepage going out of the micro- water shed system as base flow. By constructing appropriate water storage structure at the mouth of the water shed and diverting the same back to the aquifer through suitable means is expected to rejuvenate the aquifer system. Holistically this intervention will lead towards development of sustainable dry-season agricultural practices in the study area.

Effects of COVID-19 lockdown and unlock on the health of tropical large river with associated human health risk.

River Damodar (India) is one of the most significant tropical large rivers and this river is carrying predominantly industrial effluents, urban sewage, and non-degradable chemical agricultural fertilizers. Several industries, cities, and townships directly depend on this important river throughout the year. It is highly essential to evaluate its surface water quality, characteristics, and improvement status during the COVID-19 lockdown and unlock phases. The major objectives of the present study are to analyse changing nature of heavy metals (Zn, Cd, Pb, Ni, Cr, and Fe) and microbial load (TVC, TC, and FC) of river water and to identify heavy metals impact on water quality and human health in pre, during, and after unlocking of COVID-19 lockdown. Here, a total of 33 water samples have been collected in the pre-lockdown, lockdown, and unlock phases. The results showed that decreasing trend of the microbial load was found in the lockdown phase. Heavy metal pollution index (HPI) illustrated that all samples are highly polluted (HPI > 150) during the pre-lockdown phase, while during the lockdown phase; HPI showed that around 54.54% of samples have been positively changed (low pollution level). During the unlock phase, 45.45% of samples were again amplified to the high pollution level. Pearson’s correlation coefficient and hierarchical cluster analysis indicated strong relation among heavy metals with faecal coliform at a 0.05% level of significance. Noncarcinogenic hazard index (HI) shows the higher possibility of health risk (HI > 1) particularly for children in all the phases and during the lockdown phase, 36.36% of samples showed no possible health risk for adults (HI < 1). However, HI of dermal contact showed no possible health risk for children and adults in the assessment periods. This applied research can definitely assist planners and administrators in making effective solutions regarding public health.

Assessment of pollution load and identifying bioindicator algal species using multivariate statistical techniques: a case study from Damodar River, India

Assessment of pollution load and identifying bioindicator algal species using multivariate statistical techniques: a case study from Damodar River, India

Sub-watershed prioritization for soil erosion potentiality estimation in tenughat catchment, India

Soil erosion is a concern in the Tenughat watershed, a sub-basin of the River Damodar. Watershed prioritizing based on erosion potential appraisal utilizing morphometric parameters can play an essential role in natural resource sustainability. The present study makes an attempt to analyze characterization and prioritization of sub-watersheds based on morphometric parameters, in an environment of Fuzzy AHP, Geographical Information System (GIS), with the help of compound parameter in the Tenughat watershed of Jharkhand state, India. The sediment delivery ratio (SDR) model has been applied to explain the variability of soil erosion. A set of 14 morphometric parameters characterized over twenty eight sub-watersheds using geospatial data with the help of GIS software. The rank of each sub-watershed was determined by multiplying the values of morphometric parameters with weights calculated using compound parameter. Based on the prioritization approach the entire watershed has been characterized into five potential erosion zones, i.e., very high, high, medium, low and very low. The results revealed that about 7.75% of area covering four sub-watersheds (SW5, SW6, SW9 and SW16) falls under very high potential zone and six sub-watersheds (SW1, SW2, SW7, SW8, SW18 and SW24) with 34.11% area have very low potential of soil erosion. Furthermore, the findings give useful information for watershed managers, allowing them to make more informed decisions based on the watershed's features.

The faded stripes of Bengal: a historical perspective on the easternmost distribution of the striped hyena

The striped hyena (Hyaena hyaena) is an understudied large carnivore with no known historic range map. Knowledge of the past and present extent of its easternmost distribution beyond 85° east longitude is dubious. Through a comprehensive review of historical evidence and contemporary records, we investigated striped hyena presence in Bengal, i.e., Bangladesh and the Indian state of West Bengal in South Asia. We found 14 historical records, with the oldest one dating to 1876. Our review establishes Bangladesh as a former striped hyena range country and the striped hyena as one of the first large carnivores to go extinct in Bangladesh. We identified northern Bangladesh as part of its historical range (until ~1965), and south-central Bangladesh as a possible part of its historical range. In West Bengal, India, hyenas were historically present up to the southern tributaries of the Brahmaputra River, but the present range is reduced. The area south of the Damodar River is its last refuge in Bengal. We also found 15 contemporary records (2010–2021) in Bengal, from sites situated on the eastern limit of the Chota Nagpur Plateau. These records noted 25 sightings including 9 deaths due to poaching, train accidents, and retaliatory killings. Our review demonstrates that hyenas are currently present up to 87° east longitude, which extends the currently documented easternmost range for the species by almost 1,000 km. We recommend methods which can be applied to delineate the historical extent of striped hyenas elsewhere as well as for other poorly understood species.

BETA DIVERSITY OF CYPRINIDS AS INDICATOR OF SHIFTING FISHERY ZONATIONS IN DAMODAR RIVER

Alpha, beta and gamma diversities are used for measuring biodiversity of an ecosystem. Damodar river in India receives wastes and effluents from coal mines, coke oven plants, steel plants, thermal power station, fertilizer and cement factories, chemical industries etc. in its flowing path in the states of Jharkhand and West Bengal over the years. As a result of which alternation in environment and fish species diversity occurred in the river system. The present study aimed to measure cyprinid species diversity in a selected stretch of Damodar river to find out shifting in fishery zonations due to entry of industrial and domestic effluent in it and presented here. Key words: Cyprinid species diversity, measurement, Damodar river, India.

Positive effects of COVID-19 lockdown on river water quality: evidence from River Damodar, India

The global economic activities were completely stopped during COVID-19 lockdown and continuous lockdown partially brought some positive effects for the health of the total environment. The multiple industries, cities, towns and rural people are completely depending on large tropical river Damodar (India) but in the last few decades the quality of the river water is being significantly deteriorated. The present study attempts to investigate the river water quality (RWQ) particularly for pre- lockdown, lockdown and unlock period. We considered 20 variables per sample of RWQ data and it was analyzed using novel Modified Water Quality Index (MWQI), Trophic State Index (TSI), Heavy Metal Index (HMI) and Potential Ecological Risk Index (RI). Principal component analysis (PCA) and Pearson’s correlation (r) analysis are applied to determine the influencing variables and relationship among the river pollutants. The results show that during lockdown 54.54% samples were brought significantly positive changes applying MWQI. During lockdown, HMI ranged from 33.96 to 117.33 with 27.27% good water quality which shows the low ecological risk of aquatic ecosystem due to low mixing of toxic metals in the river water. Lockdown effects brought river water to oligotrophic/meso-eutrophic condition from eutrophic/hyper-eutrophic stage. Rejuvenation of river health during lockdown offers ample scope to policymakers, administrators and environmentalists for restoration of river health from huge anthropogenic stress.

Study of river sensitivity for sustainable management of sand quarrying activities in Damodar river, West Bengal, India

Study of river sensitivity for sustainable management of sand quarrying activities in Damodar river, West Bengal, India

Evaluation of water quality and risk assessment by coupled geospatial and statistical approach along lower Damodar river

Evaluation of water quality and risk assessment by coupled geospatial and statistical approach along lower Damodar river

Quantitative Analysis of Drainage Basin Parameters towards better Management of Damodar River, Eastern India

Abstract Morphometric analysis of a drainage basin is important for the study of river basin evaluation, analysis of flood hazard, watershed prioritization, and for better management of the river. Primarily to mitigate flood, India’s first multipurpose river valley project was implemented on Damodar river valley, disregarding in depth study about the basic morphometry of the river. After that, in last 50-60 years, many researchers have worked on this topic in selected watersheds or parts of Damodar river basin. The present study extended the work to entire Damodar river basin of eastern India and demarcated the basin from 59 nos. of SOI topographical maps (R.F.1:50,000) and satellite images. For detailed analysis, the whole basin was divided into 103 watersheds and each watershed was treated as a unit for the analysis. Then twenty-three morphometric variables (comprising of linear, areal and relief parameters) were used to generate dataset of the morphometric characteristics of all watersheds. Using these morphometry data, watersheds are classified into different groups based on their similarities. Further, watershed-wise amount of runoff, sediment yield and environmental flow of Damodar river have been estimated for flood and erosion management purpose. Finally, watersheds are divided into different classes as per their priority in management process. This important study may assist us to understand and manage the river properly for the future of human populations during Anthropocene.

Importance of multiple time step optimization in river basin planning and management: a case study of Damodar River basin in India

ABSTRACT This paper outlines the importance of multiple time step optimization (MTO) in river basin allocation. The principal novelty of the work presented here is to provide a methodology for how to use MTO solutions in river basin planning and real-time operation. Two approaches for using the MTO results were tested on Damodar River basin in India and are presented in the paper. Using the proposed approach, the model managed flood flows without exceeding the downstream full bank channel capacity in 35 years of available historical data, while at the same time increasing generated hydropower on average by 63% annually, and supplying an additional 350 million m3 to irrigation and industry compared to the historical levels. The results presented in this study were obtained using the new Web-based Basin Management (WEB.BM) water management model, the only water allocation model with full Linear Programming (LP) optimization capabilities available online free of charge.

Changes in the hydrological regime and channel morphology as the effects of dams and bridges in the Barakar River, India

The anthropogenic activities affect the river channel as well as the whole system in different magnitudes and dimensions. Barakar River, the main tributary to the Damodar River in eastern India, is modified by several engineering structures. Hydrological parameters, such as monthly discharge, peak flow discharge and geomorphological factors, such as gradient, width–depth ratio, grain size, braid–channel ratio, sinuosity ratio, riffle-pool sequence, and stream power are taken into consideration to highlight the significant alterations of the river due to dam and bridge construction. The alterations are assessed with the help of hydrological data, satellite images, and digital elevation data along with field survey. The downstream section of the dams, the river is characterised by high braiding, sinuous, total and unit stream power along with the presence of a box-shaped bedrock channel, high gradient, bed coarsening and armouring due to the release of high-velocity sediment-free ‘hungry water’. In the upstream reach, the grain size decreases towards the dam, and it increases suddenly with poor sorting at the immediate downstream regime of the dam. The effects of bridges on the Barakar river morphology include an increase of gradient, width and depth of the river channel at the downstream of the bridges. The construction of bridges influences riffle-pool sequences. Thereby, the pool depth spacing is greater than the riffle crest spacing. However, the integration of natural as well as human-induced factors can be the best approach to understand the anthropogenic alteration of the river. Moreover, construction of some check dams at the upper section of the tributaries of the Barakar River can be very effective for morphological stability.

Toxicity and health risk assessment of polycyclic aromatic hydrocarbons in surface water, sediments and groundwater vulnerability in Damodar River Basin

Ingestion of polycyclic aromatic hydrocarbons (PAHs) contaminated water has potential human-health and ecological consequences. A comprehensive investigation of PAHs' occurrence and distribution in the surface water and sediment samples of the Damodar River Basin was conducted using the Agilent 7890B Gas Chromatograph (GC-FID) coupled with 5977A Mass Spectrometry. The results showed that concentrations of the individual PAHs in surface water and sediments ranged from ND to 36 μg/L and ND to 582 ng/g with the highest detected levels of 3-ring PAH Acenapthylene (ACY) and 4-ring PAH Benzo(a)Anthracene (BaA) with a mean concentration of 6.12 ± 6.06 μg/L and 2.79 ± 4.5 μg/L, respectively. The concentration of 4-ring PAHs such as Fluoranthene (Flur), Pyrene (Pye), Benzo(a)Anthracene (BaA), and Chrysene (Chry) in sediment samples has mean levels of 43 ± 41 ng/g, 32 ± 29 ng/g, 52 ± 50 ng/g, and 83 ± 105 ng/g, respectively. The 4-ring PAH Chry was frequently detected in all sediment samples, while the 3-ring PAH ACY was dominant in surface water samples. The principal component analysis (PCA) and diagnostic ratios suggested that the PAHs contamination in surface water was due to petrogenic and fuel combustion. In sediments, PAHs' primary sources were coal burning, fuel combustion, petrogenic, and pyrolysis. The incremental lifetime cancer risk (ILCR) for children and adults due to ingestion of surface water ranged from ND to 4.25 × 10−5 and ND to 7.21 × 10−5, respectively. In contrast, the Risk index (RI) values ranged from 4.3 × 10−5 and 7.3 × 10−5. For sediment samples, higher toxic equivalent quotient (TEQ = 1865 ng/kg) and mutagenic equivalent quotient (MEQ = 1665 ng/kg) for eight carcinogenic PAHs indicate extremely high toxicity. Improper management of mine drainage, frequent flooding of open cast mines, and hydraulic connection between the surface water, sediments, and groundwater significantly deteriorated overall water quality in the DRB.

Eco-restoration of river water quality during COVID-19 lockdown in the industrial belt of eastern India.

The sudden lockdown recovers the health of the total environment particularly air and water while the country’s economic growth and socio-cultural tempo of people have been completely hampered due to the COVID-19 pandemic. Most of the industries within the catchment area of river Damodar have been closed; as a result, significant changes have been reflected throughout the stretch of river Damodar. The main objective of the study is to analyze the impact of lockdown on the water quality of river Damodar. A total of 55 samples was collected from eleven different confluence sites of nallas with the main river channel during and pre-lockdown period. The relevant methods like WQI, TSI, Pearson’s correlation coefficient, and “t” test have been applied to evaluate the physical, chemical, and biological status of river water. The result of “t” test indicated that there are significant differences (α = 0.05) of each parameter between pre and during lockdown. Water quality index (WQI) is used for analysis of drinking water quality suitability followed by BIS. The values of WQI showed “very poor” (S1, S2, S3, S6, S7, and S11) to “unfit for drinking” (S4, S5, S8, S9, and S10) of river water during pre-monsoon season. The nutrient enrichment status of the river was analyzed by Trophic State Index (TSI) method and it shows the “High” eutrophic condition with a heavy concentration of algal blooms in almost an entire stretch. During lockdown, nutrient supplies like TN and TP have been reduced and is designated as “Low” (S1, S2) to “Moderate” (S3 to S11) eutrophic condition of middle stretch of Damodar. This research output of river Damodar will definitely assist to policy makers for sustainable environmental management despite the dilemma between development and conservation.

Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies.

Globally, it is established that the partial lockdown system assists to improve the health of the total environment due to inadequate anthropogenic actions in different economic sectors. The ample research on fitness of environment has been proved that the strict imposition of lockdown was the blessings of environment. The river Damodar has historical significance and lifeline for huge population of Jharkhand and West Bengal state of India but in the recent years the water quality has been deteriorated due to untreated industrial effluents and urban sewage. The main objective of this study is to examine the water quality of river Damodar during and prelockdown phase for domestic use and restoration of river ecosystem. A total of eleven (11) effluent discharge sites were selected in prelockdown and during lockdown phase. A new approach of water quality assessment, i.e., water pollution index (WPI) has been applied in this study. WPI is weightage free, unbiased method to analysis of water quality. The result shows that the physical, chemical and heavy elements were found beyond the standard limit in prelockdown period. The cation and anion were arranged in an order of Na2+ > K+ > Ca2+ > Mg2+ and Cl− > So4− > No3− > F− in both the sessions. WPI of prelockdown showed that about 100% water samples are of highly polluted. WPI of lockdown period showed that around 90.90% samples improved to ‘good quality’ and 9.10% of samples are of ‘moderately polluted.’ Hypothesis testing by ‘t’ test proved that there was a significant difference (ρ = 0.05%) in values of each parameter between two periods. Null hypothesis was rejected and indicated the improvement of river water quality statistically. Spatial mapping using Arc GIS 10.4 interpolation (IDW) helps to understand spatial intensity of pollution load in two periods. This research study should be helpful for further management and spatial diagnosis of water resource of river Damodar.