Multi-indicator Approach Research Articles

Quantification of Human Thermal Risks During Ambient Temperature Steps Based on Fuzzy Comprehensive Evaluation

Occupational workers in hot environments face heat strain during temperature up-steps and cardiovascular strain during temperature down-steps. However, existing thermal risk evaluation models primarily focus on heat strain, neglecting potential risk after large temperature down-steps. This study employs a comprehensive multi-indicator approach to assess both heat strain and cardiovascular strain. Method: Six physiological and psychological parameters were selected for evaluation indexes, and four levels of thermal risk were established. Then trigonometric membership functions were proposed to determine the membership degrees related to the evaluation grades. Combined with the entropy weight method, a fuzzy comprehensive evaluation model was developed to assess thermal health risk levels. Results: Results indicated that core temperature, heart rate, and mean skin temperature are important physiological factors for assessing heat strain, while thermal sensation and perceived exertion also contribute significantly. The variation in blood pressure is relevant to cardiovascular strain. The developed model can distinguish the effects of temperature step magnitude and clothing thermal resistance on heat strain. A temperature difference of 40°C (from 40°C to 0°C) leads to a moderate level of cardiovascular strain and a 24% probability of high cardiovascular strain risk. Conclusions: These findings underscore the significance of transitional spaces and appropriate clothing choices in mitigating thermal risks and promoting human health and comfort in environments with substantial temperature variations.

Exploring the mediating role of financial inclusion in the relationship between economic policy uncertainty and CO2 emissions: A global perspective.

This study examines the connection between economic policy uncertainty (EPU), CO2 emissions, and financial inclusion in developed and developing countries. Using the data from 2004 to 2021, advanced statistical techniques are employed, including Sobel test, to explore the mediating effect of financial inclusion on the relationship between economic policy uncertainty (EPU) and CO2 emissions. There is a dearth of research examining these three variables together in a single study. Similarly, using financial inclusion as a mediator in the relation of EPU and CO2 emissions is a novel concept. This article employs a multi-indicator approach to measure key variables like CO2 emissions and financial inclusion. The results indicate that uncertainties in economic policies contribute in practices that lead to higher CO2 emissions in overall panel data of 44 countries. In addition, when considering the relationship between EPU and FI, the results indicate a significant and negative relationship between EPU and FI. If there is uncertainty in economic policies, it may lead toward challenges and hurdles in financial inclusion. When the mediating affect was checked, it was found financial inclusion acts as a significant mediator in the relationship between EPU and CO2 emissions, depicting that financial inclusion fosters the environmental quality and mitigates the potential harmful effects of environmental aspects of economic policy uncertainty. Therefore, policies that promote financial inclusion should be given top priority by governments, particularly in emerging nations. Financial literacy and bank service accessibility should be promoted. These measures would lessen the impact of staggering economic policies on CO2 emissions. It is necessary for policymakers to include environmental factors, specifically those relating to carbon emissions, into economic strategies. This requires encouraging industries to adopt eco-friendly practices and coordinating economic strategies with sustainability objectives.

Synergizing quantitative finance models and market microstructure analysis for enhanced algorithmic trading strategies

In today’s complex financial markets, “Algorithmic Trading” has become very important. The study delves into the amalgamation of four pivotal indicators - Relative Strength Index (RSI), Exponential Moving Average (EMA), Volume-Weighted Average Price (VWAP), and Moving Average Convergence/Divergence (MACD) Relative Strength Index (RSI), Exponential Moving Average (EMA), Volume-Weighted Average Price (VWAP), and Moving Average Convergence/Divergence (MACD) to create and develop a potent trading strategy. Through intensive backtesting and parameter tuning, our study demonstrates 60.63 % profitable trades on the National Stock Exchange (NSE), India, surpassing the standalone indicators. The Weapon Candle Strategy created using the four indicators presents its efficiency as it was able to achieve a profit factor of 1.882. This suggests that when these four technical indicators combined to make a strategy, it can provide significantly more accurate and reliable trading signals compared to using a combination of two or three indicators. Algorithmic traders should use a multi-indicator approach to achieve a more comprehensive understanding of the market and make informed trading decisions.

Vulnerability assessment of the fishery system in China’s coastal provinces since 2000

Coastal fishery systems are vital for both the environment and the economy, and at present, they face heightened vulnerability due to global climate change and natural disasters. A clearer understanding of the challenges that the system presents can be obtained by examining the vulnerabilities of fishery systems. This study employed a vulnerability scoping diagram framework and a multi-indicator approach combined with the entropy weight method for assigning weights to systematically evaluate the vulnerabilities of fishery systems in China’s coastal provinces. The spatiotemporal variation characteristics of vulnerability were analyzed and characterized, and the primary obstacles that affect vulnerability are discussed. The findings suggest that China’s coastal provinces’ fishery systems display vulnerability in terms of both time and space. From a temporal perspective, Liaoning, Hebei, and Shandong provinces exhibited an increasing trend in vulnerability, while Tianjin, Jiangsu, Zhejiang, Shanghai, Fujian, Guangdong, Guangxi, and Hainan showed decreasing trends. From a spatial perspective, Hainan and Liaoning’s fishery systems exhibited extremely high vulnerability in most years. In contrast, Tianjin consistently experienced extremely low vulnerability in most years. From the perspective of obstacles, the main factor was the funding for the extension of aquaculture technology, and this remained the primary obstacle factor across all years. The findings are significant for enhancing our understanding of vulnerability in fishery systems and for strengthening disaster prevention and mitigation measures. The results provide robust support for the improvement of management and the protection of fishery systems.

Flash Drought Indicator Intercomparison in the United States

Abstract Increased flash drought awareness in recent years has motivated the development of numerous indicators for monitoring, early warning, and assessment. The flash drought indicators can act as a complementary set of tools by which to inform flash drought response and management. However, the limitations of each indicator much be measured and communicated between research and practitioners to ensure effectiveness. The limitations of any flash drought indicator are better understood and overcome through assessment of indicator sensitivity and consistency; however, such assessment cannot assume any single indicator properly represents the flash drought “truth.” To better understand the current state of flash drought monitoring, this study presents an intercomparison of nine, widely used flash drought indicators. The indicators represent perspectives and processes that are known to drive flash drought, including evapotranspiration and evaporative demand, precipitation, and soil moisture. We find no single flash drought indicator consistently outperforms all others across the contiguous United States. We do find the evaporative demand- and evapotranspiration-driven indicators tend to lead precipitation- and soil moisture-based indicators in flash drought onset, but also tend to produce more flash drought events collectively. Overall, the regional and definition-specific variability in results supports the argument for a multi-indicator approach for flash drought monitoring, as advocated by recent studies. Furthermore, flash drought research—especially evaluation of historical and potential future changes in flash drought characteristics—should test multiple indicators, datasets, and methods for representing flash drought, and ideally employ a multi-indicator analysis framework over use of a single indicator from which to infer all flash drought information. Significance Statement Rapid onset or “flash” drought has been an increasing concern globally, with quickly intensifying impacts to agriculture, ecosystems, and water resources. Many tools and indicators have been developed to monitor and provide early warning for flash drought, ideally resulting in more time for effective mitigation and reduced impacts. However, there remains no widely accepted single method for defining, monitoring, and measuring flash drought, which means most indicators that are developed are compared with other individual indicators or conditions and impacts in one or two flash drought events. In this study, we measure the state of flash drought monitoring through an intercomparison of nine, widely used flash drought indicators that represent different aspects of flash drought. We find that no single flash drought indicator outperformed all others and suggest that a comprehensive flash drought monitor should leverage multiple, complementary indicators, datasets, and methods. Furthermore, we suggest flash drought research—especially that which reflects on historical or projected changes in flash drought characteristics—should seek multiple indicators, datasets, and methods for analyses, thereby reducing the potentially confounding effects of sensitivity to a single indicator.

A multi-indicator approach to compare the sustainability of organic vs. integrated management of grape production

Sustainable agricultural practices are increasingly becoming a strategic asset for global and national environmental policies and economy. A big challenge is the selection of appropriate indicators to describe the complexity of the agroecosystem management. In the present work, the sustainability of grape production, in vineyard trials of Pinot blanc and Rhine Riesling, managed with integrated (INT) and organic management (organic, with cattle manure ORG1 and organic with green manure ORG2), was compared using a multi-indicator approach. The experiment was set in 2011 (1.5 ha in Trento, Italy) and carbon footprint (CF), nitrogen footprint (NF), water footprint (WF), soil microbial diversity (alpha diversity of bacteria, fungi, oomycetes communities) and soil C stock change, were evaluated in 2018. The CF was 0.213—0.227 kg CO2-eq/kg in the INT, 0.144—0.168 kg CO2-eq/kg in ORG1 and 0.134—0.147 kg CO2-eq/kg in ORG2. The NF was around 1 g Nr/kg for the INT, 0.4 g Nr/kg for ORG1 and 0.5 g Nr/kg for ORG2. The WF, excluding the pesticides impact on grey water, was 666—708 L/kg for INT, 605—655 L/kg for ORG1 and 529—580 L/kg for ORG2. The impact of farming practices on soil microbial alpha diversity showed no significant difference among treatments for oomycetes and significantly higher indexes for fungi and bacteria in the ORG1, with INT and ORG2, being similar. No difference in bulk organic C were observed among treatments. Overall, the multi-indicator approach allowed to demonstrate that the organic management was more beneficial for most of the environmental spheres of the agroecosystem compared to integrated management, without affecting the grape yield.

An integrative and multi-indicator approach for wildlife health applied to an endangered caribou herd

Assessing wildlife health in remote regions requires a multi-faceted approach, which commonly involves convenient samplings and the need of identifying and targeting relevant and informative indicators. We applied a novel wildlife health framework and critically assessed the value of different indicators for understanding the health status and trends of an endangered tundra caribou population. Samples and data from the Dolphin and Union caribou herd were obtained between 2015 and 2021, from community-based surveillance programs and from captured animals. We documented and categorized indicators into health determinants (infectious diseases and trace elements), processes (cortisol, pathology), and health outcomes (pregnancy and body condition). During a recent period of steep population decline, our results indicated a relatively good body condition and pregnancy rates, and decreasing levels of stress, along with a low adult cow survival. We detected multiple factors as potential contributors to the reduced survival, including Brucella suis biovar 4, Erysipelothrix rhusiopathiae and lower hair trace minerals. These results remark the need of targeted studies to improve detection and investigations on caribou mortalities. We also identified differences in health indicators between captured and hunter sampled caribou, highlighting the importance of accounting for sampling biases. This integrative approach that drew on multiple data sources has provided unprecedented knowledge on the health in this herd and highlights the value of documenting individual animal health to understand causes of wildlife declines.

Holocene hydroclimatic variability recorded in sediments from Maddox Lake (northern California Coast Range)

AbstractPerspectives on past climate using lake sediments are critical for assessing modern and future climate change. These perspectives are especially important for water-stressed regions such as the western United States. One such region is northwestern California (CA), where Holocene-length hydroclimatic records are scarce. Here, we present a 9000-year, relative lake level record from Maddox Lake (CA) using a multi-indicator approach. The Early Holocene is characterized by variably low lake levels with a brief excursion to wetter climates/relative highstand ca. 8.4–8.06 cal ka BP, possibly related to the 8.2 ka cold event and changing Atlantic Meridional Overturning Circulation (AMOC). From 5.2–0.55 cal ka BP, Maddox Lake experienced a long-term regression, tracking changes in summer-winter insolation, tropical and northeast Pacific SSTs, and the southward migration of the ITCZ. This gradual regression culminated in a pronounced relative lowstand during the Medieval Climatic Anomaly (MCA). A marked relative highstand followed the MCA, correlative to the Little Ice Age. The latter reflects a far-field response to North Atlantic volcanism, solar variability, and possibly changes in AMOC and Arctic sea ice extent. Our results further confirm the hydroclimatic sensitivity of northwest California to various forcings including those emanating from the North Atlantic.

Assessing the resilience of ecosystem functioning to wildfires using satellite-derived metrics of post-fire trajectories

Wildfire disturbances can profoundly impact many aspects of both ecosystem functioning and resilience. This study proposes a satellite-based approach to assess ecosystem resilience to wildfires based on post-fire trajectories of four key functional dimensions of ecosystems related to carbon, water, and energy exchanges: (i) vegetation primary production; (ii) vegetation and soil water content; (iii) land surface albedo; and (iv) land surface sensible heat. For each dimension, several metrics extracted from satellite image time-series, at the short, medium and long-term, describe both resistance (the ability to withstand environmental disturbances) and recovery (the ability to pull back towards equilibrium). We used MODIS data for 2000–2018 to analyze trajectories after the 2005 wildfires in NW Iberian Peninsula. Primary production exhibited low resistance, with abrupt breaks immediately after the fire, but rapid recoveries, starting within six months after the fire and reaching stable pre-fire levels two years after. Loss of water content after the fire showed slightly higher resistance but slower and more gradual recoveries than primary production. On the other hand, albedo exhibited varying levels of resistance and recovery, with post-fire breaks often followed by increases to levels above pre-fire within the first two years, but sometimes with effects that persisted for many years. Finally, wildfire effects on sensible heat were generally more transient, with effects starting to dissipate after one year and overall rapid recoveries. Our approach was able to successfully depict key features of post-fire processes of ecosystem functioning at different timeframes. The added value of our multi-indicator approach for analyzing ecosystem resilience to wildfires was highlighted by the independence and complementarity among the proposed indicators targeting four dimensions of ecosystem functioning. We argue that such approaches can provide an enhanced characterization of ecosystem resilience to disturbances, ultimately upholding promising implications for post-fire ecosystem management and targeting different dimensions of ecosystem functioning.

Integrated biomarker responses and metal contamination survey in the wedge clam Donax trunculus from the Atlantic coast of Morocco.

In Morocco, the marine environment has always been a major occupation for socioeconomic activities (industry, tourism, urbanization, etc.). Thus, this work displays a case study of Taghazout coast in the central Atlantic part of the country, which becomes the center of several development projects, such as the touristic resort Taghazout Bay. In the aim to assess the health status of this coastal ecosystem, a multi-indicator approach based on the response of biomarkers in the wedge clam Donax trunculus was adopted during two years (2016/2017). The undertaken investigations on the response of biomarkers (AChE, GST, MDA, and CAT) in the sentinel species D. trunculus showed an activation of defense mechanisms in this bivalve, which would imply exposure to chemical stress in this ecosystem. The monitoring of seasonal bioaccumulation of cadmium (Cd), lead (Pb), and copper (Cu) by D. trunculus indicates that the bivalves collected have been exposed to these metal sources in the study area. In addition, the correlation study has reported a significant effect of environmental parameters on biomarker response. Overall, the multi-indicator approach has clearly revealed the health status of Taghazout coast registered in a coastal urbanization.

Developing health sector websites assessment instrument: Challenges and pitfalls

Electronic health services have been received with a tremendous interest world over. Patients consider hospital websites as highly important sources for health information and services. As a number of health institutes are carrying out projects to improve their websites, the need to design proper assessment means to measure whether they have achieved or are going to achieve their targets arises. Proper assessment of these websites gives us crucial information on the kind of changes needed to make them successful. To satisfy this need, an instrument called Health Sector Website Assessment Index (HSWAI) was developed, integrating the assessment of content, services, community interaction and technology features criteria, under a multi-indicator approach. Many of the considered indicators could be used to monitor progress towards the achievement of Sustainable Development Goal (SDG) 3, which is the United Nations health-focused goal. The purpose of this study is to highlight the challenges of developing and applying the assessment instrument for health institute websites. The paper covers key issues and challenges in conceiving, designing, developing, refining and validating HSWAI, and finally in applying it to a set of Portuguese health institutes. The results of this study could provide several insights and recommendations to e-Government assessment researchers and practitioners at the national and agency levels on the development of relative e-Government assessment tools. Studies such as the current one, apart from presenting applied solutions and relative lessons learned, are valuable to the conceptualization and application of present and future e-Government assessment initiatives, regardless of the sector where the effort occurs.

Assessing the Dual Innovation Capability of National Innovation System: Empirical Evidence from 65 Countries

Open innovation has drawn significant attention over the years, and there is a growing body of literature that highlights the importance of considering this phenomenon at the national level. Less appreciated, however, is the radiative capability of national innovation systems (NIS) and the linking inbound and outbound processes. We provide a measurement of the dual innovation capability (DIC) of NISs based on process-oriented concepts by using a multi-indicator approach, which provides a more comprehensive picture of sectoral NISs compared to currently used metrics. To assess the DIC of NISs, a composite weighting method was used to obtain the score of our selection of 65 countries. The results show the spatio-temporal evolution of DIC from 2010 to 2018 and explore the interactions among sub-elements within the framework. The 65 countries were grouped into 4 categories based on the sub-dimension scores, and we provided 3 possible paths that can be chosen to improve DIC. The index provides a powerful tool to enrich research on innovation systems, guide national positioning, and optimize policies.

Inter-Regional Cooperation in Waste Management: New Trends in Moscow and the Moscow Region

Abstract Globalization metrics rank Moscow as an alpha global city and the second most populous city in Europe. The city’s rate of urbanization and population growth has increased over the past decade triggering outward urban sprawl and the attendant need for spatial development within the city’s suburb – the Moscow Region municipality. This study focuses on internal factors and trends facilitating the need for inter-municipal waste management cooperation between the Moscow metropolis and the Moscow Region municipality. The paper reviews the policies driving this partnership and the inter-sectoral network facilitating waste management. Partnership effectiveness is evaluated via a multi-indicator approach, alongside qualitative thematic analysis comprising public surveys and the review of legal, administrative and operational documents. The findings reveal that cooperation between the municipalities is primarily driven by the convergence of socio-cultural factors, common territorial boundaries, the provision of public utilities and urban spatial constraints.

Spatial and temporal patterns of propagation from meteorological to hydrological droughts in Brazil

Meteorological droughts propagate through the hydrological cycle causing hydrological droughts and societal impacts. However, the effects of climate and basin characteristics on hydrologic drought propagation vary regionally and remain largely unclear. In this paper, we characterize meteorological and hydrological droughts in 457 basins in Brazil. Using the Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Streamflow Index (SSI), we investigate hydrologic drought propagation based on differences in drought onset, the center of mass, and time to peak. Additionally, we estimate the recovery time of meteorological and hydrologic drought events. The results indicate that hydrological droughts are usually more long-lasting, severe, and with a slower recovery time compared to meteorological droughts. While the most severe meteorological droughts are observed in humid regions (e.g., Amazon and Southern Brazil), the most severe and long-lasting hydrological droughts are found in the driest region (i.e., Northeast Brazil) or mostly impacted by human activities (i.e., Southeast Brazil). Hydrological droughts in dry regions can take four times longer to recover than meteorological ones. For most regions, the propagation time was slightly different considering the different approaches. Our results highlight the importance of a multi-indicator approach to fully characterize the mechanisms controlling the development and propagation of droughts through the water cycle.

A Multi-Indicator Approach for Geolocalization of Tweets

Real-time information from microblogs like Twitter is useful for different applications such as market research, opinion mining, and crisis management. For many of those messages, location information is required to derive useful insights. Today, however, only around 1% of all tweets are explicitly geotagged. We propose the first multi-indicator method for determining (1) the location where a tweet was created as well as (2) the location of the user's residence. Our method is based on various weighted indicators, including the names of places that appear in the text message, dedicated location entries, and additional information from the user profile. An evaluation shows that our method is capable of locating 92% of all tweets with a median accuracy of below 30km, as well as predicting the user's residence with a median accuracy of below 5.1km. With that level of accuracy, our approach significantly outperforms existing work.

Investigation of single and combined effects of repeated oral cadmium and lead administration in ewes

Cadmium is considered one of the most toxic elements in the environment, with its ubiquity, a multi-organs damage and long elimination half-life. This heavy metal can pose serious health problems and lead to various biological disorders. Our research investigated the adverse health effects related to subchronic oral exposure at regular low- dose treatment in Ouled Djellal non- lactating ewes. The study aimed to ascertain whether the subchronic co-exposure to Cd and Pb in Ouled Djellal non- lactating ewes exacerbates the toxic effects and what are the most sensitive indicator parameters related to the blood Cd concentration. Haematological and biochemical modifications as well as the interaction with Zn and Cu were investigated. The study was conducted during two periods: in the first one, which lasted four weeks, the ewes were not contaminated: animals during this period acted as a control group and all values obtained during this period are considered as control values. Two groups of five animals were used: the Cd group received cadmium chloride orally at a dose of 2 mg/kg/day and the Cd+Pb group received cadmium chloride orally at a dose of 2mg/kg/day in addition to lead nitrate at a dose of 2.5 mg/kg/day during 9 weeks. Mean blood Cd has increased after the cadmium administration in both Cd group and Cd+Pb group. The evolution of Cd levels in the blood over time is slightly different for the Cd+Pb group. ANOVA showed a time effect (P˂0.001). The effects of treatment and animals effect were not significant (P>0.05). Disturbance in haematological and biochemical parameters was observed. The balance of the essential elements was altered; resulting in a significant decrease mainly in Cu plasma concentrations. Student's t-test indicates that toxic effects were similar for the two groups. This multi-indicator approach based on changes in different sensitive parameters can is be pertinent for risk assessment.

Necessary or oversimplification? On the strengths and limitations of current assessments to integrate social dimensions in planetary boundaries

With the Earth system being about to leave Holocene conditions and thus the known safe operating space for humanity, frameworks such as the Planetary Boundaries (PBs) and the Sustainable Development Goals (SDGs) provide quantitative metrics to guide sustainability transformations. In order to strive, not only for compliance with the PBs but also for societal well-being, some approaches attempt to combine both PBs and SDGs within a single assessment.We focus on two prominent examples, the “Doughnut” by Kate Raworth and the #SDGinPB project of the 2018 report to the Club of Rome, which are not only aimed at public outreach, but also at guiding policy-making. To meet these objectives, the approaches should possess a certain accuracy in determining the progress in achieving the SDGs and in complying with the PBs. We evaluate, by using a multi-indicator approach for comparison, whether both approaches’ limited set of indicators can still represent the SDGs’ complexity. This comparative approach estimates the progress in achieving SDGs, especially in the Global North, to be significantly lower.Based on these results and against the approaches’ purposes, we discuss their simplifications and at which point the results are no longer reliable. We conclude that global assessments can be an important factor in initiating transformative processes by stimulating public discourse, but that the actual implementation of these would require approaches with greater recognition of local particularities.

СИСТЕМАТИЗАЦІЯ ПОКАЗНИКІВ ОЦІНЮВАННЯ РІВНЯ ІННОВАЦІЙНОСТІ ПІДПРИЄМСТВ

The concept of enterprise innovativeness is complex and multifaceted. This necessitates the use of a multi-indicator approach to assessing the level of innovativeness of firms. The assessment indicators of innovativeness of enterprises was systematized. The indicators characterizing the impact of innovative activity of enterprises on economic performance of its functionality was proposed.

Investigating child self-report capacity: a systematic review and utility analysis.

To identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level. We conducted a systematic literature review to identify methods for detecting invalid responses to PRO measures.Eight data quality indicators were applied to child-report data collected from 1780children ages 8-11years. We grouped children with similar data quality patterns and tested for between-group differences in factors hypothesized to influence self-report capacity. We identified 126 articles that described 494 instances in which special measures or statistical techniques were applied to evaluate data quality at the individual level. We identified 22 data quality indicator subtypes: 9 direct methods (require administration of special items) and 13 archival techniques (statistical procedures applied to PRO data post hoc). Application of archival techniques to child-report PRO data revealed 3 distinct patterns (or classes) of the data quality indicators. Compared to class 1 (56%), classes 2 (36%) and 3 (8%)had greater variation in their PRO item responses. Three archival indicators were especially useful for differentiating plausible item response variation (class 2) fromstatistically unlikely response patterns (class 3). Neurodevelopmental conditions, which are associated with a range of cognitive processing challenges, were more common among children in class 3. A multi-indicator approach is needed to identify invalid PRO responses. Once identified, assessment environments and measurement tools should be adapted to best support these individuals' self-report capacity. Individual-level data quality indicators can be used to gauge the effectiveness of these accommodations.

A comparative study on the biotic integrity of the rivers supplying a polluted, hyper-eutrophic freshwater system: A multi-indicator approach

Abstract The aim of this study was to use an integrated, multi-indicator approach to assess and compare the biotic integrity of the polluted rivers flowing into the hyper-eutrophic Roodeplaat Dam. This included seasonal assessments of physical, chemical and biological parameters of the water and sediment, as well as a habitat, macro-invertebrate and histology-based fish health assessment. The results showed that all three rivers are polluted by metals and faecal coliform bacteria and high nutrient levels which explains the eutrophic status of the receiving impoundment. The Edendalespruit showed higher metal concentrations while the Pienaars River showed higher nutrients and Chlorophyll-a levels. Semi-volatile organic compounds were detected in sediment samples from all three rivers. The macroinvertebrate assessment confirmed that the water quality of the rivers are negatively impacted with most of the sites classified as “fair” to “poor” based on the number of taxa identified and their sensitivity scores. The histological assessment of six different target organs of two indicator fish species indicated a definite tissue response, especially in terms of the liver alterations in Clarias gariepinus. The percentage prevalence of alterations varied across rivers and seasons with no discernible pattern identified. The assessment of both abiotic and biotic indicators indicated that this system is plagued by a number of negative impacts and that management initiatives should focus especially on the activities influencing the Pienaars River to mitigate the continuing eutrophication of the Roodeplaat Dam.