Large Streams Research Articles

Fringe effects: detecting bull trout (Salvelinus confluentus) at distributional boundaries in a montane watershed

Robust assessment and monitoring programs are critical for effective conservation, yet for many taxa we fail to understand how trade-offs in sampling design affect power to detect population trends and describe spatial patterns. We tested an occupancy-based sampling approach to evaluate design considerations for detecting watershed-scale population trends associated with juvenile bull trout (Salvelinus confluentus) distributions. Electrofishing surveys were conducted across 275 stream sites from the Prairie Creek watershed, Northwest Territories, Canada. Site-level detectability of juvenile bull trout was not uniform, and imperfect detection affected modelled occupancy probabilities most in fringe habitats near distributional boundaries in steep reaches and large streams. We show that detecting a 30% change in watershed-level occupancy ≥78% of the time, as conservation guidelines suggest, may require three repeat surveys (i.e., temporal replicates) and increased spatial sampling intensity of fringe habitats. Additional sampling effort in fringe sites could be offset by sampling fewer sites in core habitats to optimize designs for detecting demographic shifts in bull trout, while still minimizing risk of nondetection for this cryptic species.

Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams

Chemical-contaminant mixtures are widely reported in large stream reaches in urban/agriculture-developed watersheds, but mixture compositions and aggregate biological effects are less well understood in corresponding smaller headwaters, which comprise most of stream length, riparian connectivity, and spatial biodiversity. During 2014–2017, the U.S. Geological Survey (USGS) measured 389 unique organic analytes (pharmaceutical, pesticide, organic wastewater indicators) in 305 headwater streams within four contiguous United States (US) regions. Potential aquatic biological effects were evaluated for estimated maximum and median exposure conditions using multiple lines of evidence, including occurrence/concentrations of designed-bioactive pesticides and pharmaceuticals and cumulative risk screening based on vertebrate-centric ToxCast™ exposure-response data and on invertebrate and nonvascular plant aquatic life benchmarks. Mixed-contaminant exposures were ubiquitous and varied, with 78% (304) of analytes detected at least once and cumulative maximum concentrations up to more than 156,000 ng/L. Designed bioactives represented 83% of detected analytes. Contaminant summary metrics correlated strong-positive (rho (ρ): 0.569–0.719) to multiple watershed-development metrics, only weak-positive to point-source discharges (ρ: 0.225–353), and moderate- to strong-negative with multiple instream invertebrate metrics (ρ: −0.373 to −0.652). Risk screening indicated common exposures with high probability of vertebrate-centric molecular effects and of acute toxicity to invertebrates, respectively. The results confirm exposures to broad and diverse contaminant mixtures and provide convincing multiple lines of evidence that chemical contaminants contribute substantially to adverse multi-stressor effects in headwater-stream communities.

Urban stream temperature patterns: Spatial and temporal heterogeneity in the Philadelphia region, Pennsylvania, USA

AbstractStream temperature is a critical water quality parameter that is not fully understood, particularly in urban areas. This study explores drivers contributing to stream temperature variability within an urban system, at 21 sites within the Philadelphia region, Pennsylvania, USA. A comprehensive set of temperature metrics were evaluated, including temperature sensitivity, daily maximum temperatures, time >20°C, and temperature surges during storms. Wastewater treatment plants (WWTPs) were the strongest driver of downstream temperature variability along 32 km in Wissahickon Creek. WWTP effluent temperature controlled local (1–3 km downstream) temperatures year‐round, but the impacts varied seasonally: during winter, local warming of 2–7°C was consistently observed, while local cooling up to 1°C occurred during summer. Summer cooling and winter warming were detected up to 12 km downstream of a WWTP. Comparing effects from different WWTPs provided guidelines for mitigating their thermal impact; WWTPs that discharged into larger streams, had cooler effluent, or had lower discharge had less effect on stream temperatures. Comparing thermal regimes in four urban headwater streams, sites with more local riparian canopy had cooler maximum temperatures by up to 1.5°C, had lower temperature sensitivity, and spent less time at high temperatures, although mean temperatures were unaffected. Watershed‐scale impervious area was associated with increased surge frequency and magnitude at headwater sites, but most storms did not result in a surge and most surges had a low magnitude. These results suggest that maintaining or restoring riparian canopy in urban settings will have a larger impact on stream temperatures than stormwater management that treats impervious area. Mitigation efforts may be most impactful at urban headwater sites, which are particularly vulnerable to stream temperature disruptions. It is vital that stream temperature impacts are considered when planning stormwater management or stream restoration projects, and the appropriate metrics need to be considered when assessing impacts.

Investigating the Development of Distinctive Subauroral Flow Channels During the November 7–8, 2004 Superstorm

AbstractWe investigate the development of large (∼3,000 m/s) subauroral flows occurring during the November 7–8, 2004 Superstorm by utilizing multisatellite and multiinstrument measurements from the Magnetosphere (M), topside Ionosphere (I), and Thermosphere (T). We present eight scenarios (Sc‐1–Sc‐8) depicting the development of large SubAuroral Polarization Streams (SAPS) in the initial phase (Sc‐1–Sc‐3) and recovery phase (Sc‐5), and structured SAPS (Sc‐4, Sc‐6–Sc‐7) and Double‐peak SubAuroral Ion Drifts (DSAID) in the recovery phase (Sc‐8). Magnetospheric observations reveal dayside magnetopause reconnection increasing both the magnetospheric convection electric field and the large‐scale Field‐Aligned Currents (FACs), long‐lasting (∼5 h) secondary dipolarizations during the initial phase, and a series of dipolarization events during the recovery phase. Ionospheric observations reveal the development of these large subauroral flows (i) during forward and reverse plasma convections—when the topside ionosphere received earthward energy from the magnetosphere and when the diversion of cross‐tail currents in the stretched magnetotail activated the Substorm Current Wedge (SCW)—and (ii) in a short‐circuited system that acted as a voltage generator. Thermospheric observations reveal earthward energy deposition from the ionosphere that drove wind surges—implying the presence of Atmospheric Gravity Waves (AGWs) and Traveling Ionospheric Disturbances (TIDs)—propagating equatorward/poleward and passing through the trough region, and further enhancing the subauroral flows by deepening the trough. From these results we conclude that the strong M‐I‐T coupling occurring under superstorm conditions played a significant role in the enhancement of the subauroral flows investigated.

Landforms and distribution patterns of giant Castanopsis sieboldii trees in urban areas and western suburbs of Tokyo, Japan

Combining both biological diversity and cultural significance, populations of big trees in Japan are considered important. Furthermore, individual specimens, often with broken and unusual tree form, are highly striking and create a ‘sense of place’ in a locale. The giant Castanopsis sieboldii trees belonging to the family Fagaceae have a trunk circumference of over 3 m. These trees are distributed on various landforms in Tokyo and its western suburbs. In this study, we conducted field surveys to determine the distribution pattern and geographical conditions of giant C. sieboldii trees growing in urban areas and western suburbs of Tokyo. The topography of Tokyo is variable, comprising mountainous areas, hills, plateaux, lowlands, and reclaimed lands with large rivers or streams. The places where giant C. sieboldii trees grew were classified into 13 categories using cluster analysis of geomorphic landscape sections. The lowest point of the area within a 2-km radius surrounding the giant trees was determined through field surveys and based on geomorphic sections in four directions. Trees growing on slopes, plateaux, and hilltops or mountain tops, or along the edges of plateaux represented 80 % of the total recorded trees. Two categories were an exception to this, where the height difference between the lowest and highest altitude was less than 10 m. Giant trees were mostly distributed above the 10-m contour line, on plateaux or hills and especially on slopes along the edges of 10, 30, 120, 170, and 210-m contour lines on flat uplands. Altitude appeared to be a significant factor for giant tree distribution, with only a few giant trees located below the 10-m contour line in low lying or reclaimed lands. Finally, we discuss the reasons underlying this unique distribution of C. sieboldii in the light of the physical characteristics of different landforms.

Late Quaternary sea level, isostatic response, and sediment dispersal along the Queen Charlotte fault

Abstract The active Pacific margin of the Haida Gwaii and southeast Alaska has been subject to vigorous storm activity, dramatic sea-level change, and active tectonism since glacial times. Glaciation was minimal along the western shelf margin, except for large ice streams that formed glacial valleys to the shelf break between the major islands of southeast Alaska and Haida Gwaii. Upon deglaciation, sediment discharge was extensive, but it terminated quickly due to rapid glacial retreat and sea-level lowering with the development of a glacio-isostatic forebulge, coupled with eustatic lowering. Glacial sedimentation offshore ended soon after 15.0 ka. The shelf became emergent, with sea level lowering by, and possibly greater than, 175 m. The rapid transgression that followed began sometime before 12.7 ka off Haida Gwaii and 12.0 ka off southeast Alaska, and with the extreme wave-dominated environment, the unconsolidated sediment that was left on the shelf was effectively removed. Temperate carbonate sands make up the few sediment deposits presently found on the shelf. The Queen Charlotte fault, which lies just below the shelf break for most of its length, was extensively gullied during this short period of significant sediment discharge, when sediment was transported though the glacial valleys and across the narrow shelf through fluvial and submarine channels and was deposited offshore as sea level dropped. The Queen Charlotte fault became the western terminus of the glacio-isostatic forebulge, with the fault acting as a hinged flap taking up the uplift and collapse along the fault of 70+ m. This may have resulted in the development of the distinctive fault valley that presently acts as a very linear channel pathway for sediment throughout the fault system.

Reliability of Automotive Multidomain Controllers: Advancements in electronics cooling technologies

The contemporary automotive market is undergoing rapid changes that will inevitably revolutionize the road transportation sector in the years to come. Alongside electric vehicles and sophisticated vehicular communication systems, autonomous driving (AD) is emerging as a game-changing technology of the near future. To enable this cutting-edge functionality, passenger vehicles are equipped with various data acquisition and processing systems that collect information from vehicle surroundings. Onboard sensors, such as cameras, lidar, and radar, produce large data streams that are integrated and interpreted by processing units and subsequently used to generate signals to control car behavior. To ensure an acceptable level of safety in on-road operating conditions, these operations are performed in (near) real time. Additionally, a typical modern vehicle includes a combination of communication, driver assistance, active safety, and sophisticated infotainment devices, each of which is often a state-of-the-art electronic system [1].

Utilizing E-Waste for Construction of Magnetic and Core-Shell Z-Scheme Photocatalysts: An Effective Approach to E-Waste Recycling.

The increasingly large stream of e-waste is seriously threatening the environment; meanwhile, global energy shortage is on the rise. Based on the principles of energy regeneration and waste utilization, we introduced a win-win approach to utilize waste capacitors for construction of magnetic and core-shell Z-scheme Nb-Pb-codoped BaTiO3/Ni-Pd@graphite-like carbon nitride (g-C3N4) photocatalysts for H2 evolution. Using simple ball-milling, waste capacitors were transformed to Nb-Pb-codoped BaTiO3/Ni-Pd-Ag-Sn nanoparticles and g-C3N4 was coated on the nanoparticles, forming a core-shell structure. The Ni-Pd acted as the electron mediator in the Z-scheme, and Ag-Sn also facilitated the electron transfer. Moreover, Ni made the Z-scheme magnetically separable. The Z-scheme showed a remarkably enhanced photocatalytic H2 evolution rate, which was 22.2 times higher than that of g-C3N4. Such an enhanced photocatalytic performance was attributed to the special Z-scheme and core-shell structure, improving the light adsorption, increasing the Brunauer-Emmett-Teller (BET) surface area, facilitating the efficient separation of electron-hole pairs, and maintaining the strong redox ability of charge carriers. Furthermore, the photoluminescence analysis combined with density functional theory (DFT) calculations provided the basis for the Z-scheme mechanism. This study adequately utilized the composition of e-waste to construct a highly efficient and magnetically separable Z-scheme for H2 generation, which realizes energy regeneration, waste recycling, and environmental protection.

Comparison of Geographically Weighted Regression of Benthic Substrate Modeling Accuracy on Large and Small Wadeable Streams

Aquatic habitat assessments encompass large and small wadeable streams which vary from many meters wide to ephemeral. Differences in stream sizes within or across watersheds, however, may lead to incompatibility of data at varying spatial scales. Specifically, issues caused by moving between scales on large and small streams are not typically addressed by many forms of statistical analysis, making the comparison of large (>30 m wetted width) and small stream (2 values of large and small stream streams. Results also provided a much needed method for comparison of large and small wadeable streams. Our results have merit for aquatic resource managers, because they demonstrate ability to spatially model and compare substrate on large and small streams. Using depth to guide substrate modeling by geographically weighted regression has a variety of applications which may help manage, monitor stream health, and interpret substrate change over time.

Hybrid Blockchain Architecture for Cloud Manufacturing-as-a-service (CMaaS) Platforms with Improved Data Storage and Transaction Efficiency

Blockchain based decentralized Cloud Manufacturing-as-a-Service (CMaaS) platforms enable customers to gain access to a large capacity of manufacturing nodes over cryptographically secure networks. In recent times, the Ethereum network has emerged as a popular blockchain framework for providing provenance and traceability of proprietary manufacturing data in decentralized CMaaS. However, the Ethereum ecosystem was only designed to store and transmit low volume financial transaction data and little has been done to make it an efficient repository of large manufacturing data streams in CMaaS systems. In this paper, the authors build on their previous work and report the design, implementation, and validation of middleware software architectures that allow Ethereum based distributed CMaaS platforms to harness the benefits of the secure asset models of the Ethereum ecosystem and the immutable big data storage capabilities of the decentralized BigchainDB database platform. A novel hybrid blockchain architecture enabled by efficient communication protocols and blockchain oracles is proposed. This architecture allows the transfer and immutable storage of large manufacturing data streams onto global BigchainDB nodes allowing data rich manufacturing transactions to bypass the transaction fees of the Ethereum ecosystem. Additionally, a machine learning based time series inference model is proposed which enables the forecast of Ethereum gas price into the future. This allows the CMaaS platform smart contracts to judiciously assign gas price limits and hence save on transactions ensuing from transfer or creation of assets. The outcomes of this research show that the designed hybrid architecture can lead to the reduction of significant number of computational steps and hence transaction fees on Ethereum by offloading large volume data onto BigchainDB nodes. A Random Forest regressor based time series inference model has been shown to exhibit superior performance in the prediction of Ethereum gas price, that allows the CMaaS to avoid executing transactions in periods of high gas prices within the Ethereum ecosystem.

Long-term monitoring of the vegetation cover of mountain territories in the GIS for soil and landscape study of territories

Rational use of natural resources and preservation of the environment in good conditions is the basis of the stable state of the ecosystem. Mountain soil erosion is the most common process of degradation. Soil protection from erosion is becoming a global problem in the world, and in Uzbekistan, in particular. Natural conditions of the region create a potential danger of soil erosion. The reason for its manifestation is the misuse of land, non-compliance with necessary requirements for soil protection. In most cases, it is due to the location of homesteads and crops on erosion-prone soils that poorly protect soil from erosion, improper cultivation of soils on arable land, unregulated grazing of pastures, and damage to soil protective plantations. The climate, topography and soils can in some way create a potential danger of erosion, while the vegetation cover reduces the possibility of erosion or completely prevents it. V.V.Dokuchaev [6] has given great importance to vegetation in the problems of soil protection from erosion and a decrease in the flow of atmospheric precipitation. He wrote: “… in the early spring, and after heavy rains in the virgin steppe there are no large streams, while on old-growth fields they run in all directions, storm and foam.” A good vegetation cover sharply reduces the danger of erosion when a great amount of precipitation falls out. With high intensity of rains on slopes with a good vegetation cover, the danger of erosion may be much less than in the case of rainfalls with a small amount of precipitation and with less intensity on slopes with poor plantation or without any.

Behavioral Inventory Management

Behavioral inventory-management research leverages ideas and methodologies commonly used in behavioral economics and psychology to advance our understanding of the role of human behavior in inventory management. In this chapter, we first review some of the early papers in this area organized by problem setting. We describe the history and notable papers in the two largest streams: the newsvendor and serial supply chain settings. We then discuss how behavioral science can advance inventory research by describing three different pathways for improving inventory performance: correcting sub-optimal decision behavior, responding to others’ behavioral patterns, and designing processes and systems for behavioral regularities. For each pathway, we provide recent examples from the literature. We conclude by discussing contemporary research opportunities in this sub-field involving other types of human decisions, beyond the inventory decisions typically considered.

Potential use of minimum quantity lubrication (MQL) in machining of biocompatible materials using environment friendly cutting fluids: An overview

Use of cutting fluids during machining is necessary as it not only removes the heat produced during the shearing of the work piece but also provides lubrication at the interface of chip and tool. Flood lubrication is the most generally used method of supplying cutting fluid in metal cutting industries where a large continuous stream of cutting fluid at the rate of 10–12 l/min at low pressure is supplied to the cutting zone. Most of cutting fluids when disposed to the environment cause serious environmental problems. From the view point of these ecological problems along with the concern regarding the operator’s health and an increased associated machining cost, there have been enormous efforts to restrict the application of the cutting fluids. In this regard dry cutting may seem a viable alternative but it is not found suitable especially for hard cutting materials like Titanium alloys and Nickel based super alloys which are used extensively in manufacturing of body implants. In this paper minimum quantity lubrication method is reviewed to find whether it can be used as viable alternative to conventional cutting fluid supplying methods in the manufacturing of bio-implants where a considerably higher surface integrity is desired in the finished component.

Comparison of learning analytics and educational data mining: A topic modeling approach

Educational data mining and learning analytics, although experiencing an upsurge in exploration and use, continue to elude precise definition; the two terms are often interchangeably used. This could be owing to the fact that the two fields exhibit common thematic elements. One avenue to provide clarity, uniformity, and consistency around the two fields, is to identify similarities and differences in topics between the two evolving fields. This paper conducted a topic modeling analysis of articles related to educational data mining and learning analytics to reveal thematic features of the two fields. Specifically, we employed structural topic modeling to identify the topics of the two fields from the abstracts. We apply structural topic modeling on N=192 articles for educational data mining and N=489 articles for learning analytics. We infer five-topic models for both educational data mining and learning analytics. We find that while there appears to be disciplinary differences in terms of research focus, there is little support for a clear distinction between the two disciplines, beyond their different lineage. The trend points to a convergence within the field of educational research on the applications of advanced statistical learning techniques to extract actionable insights from large data streams for optimizing teaching and learning. Both fields have converged on an increasing focus on student behaviors over the last five years.

Rich feature hierarchies for accurate object detection and semantic segmentation

Formulation of the problem. Over the past few years, there has been little progress in object detection techniques. The most efficient are complex computational ensemble methods, which usually combine several low-level image properties with high-level properties. However, every day interest in artificial intelligence is growing, and the idea of using neural networks on board a spacecraft, with the possibility of making decisions and issuing one-time commands, is very promising, since it makes it possible to analyze a large data stream in real time without resorting to ground station, thereby not losing information when transmitting a packet. The purpose of the work is to conduct research on the possibility of effective use of modern models of neural networks, to develop a methodology for their use in the problem of object detection and analysis of the element base for hardware implementation with the possibility of using convolutional neural networks for thermovideotelemetry on board a spacecraft. Results of work. An approach has been formulated that combines two key ideas: 1) application of high-throughput convolutional neural networks for downward processing of image regions in order to localize and segment objects; 2) preliminary training for the auxiliary task, followed by fine tuning of the domain, which gives a significant increase in performance in the case when the training data is insufficient. The analysis of the element base for the possibility of hardware implementation of neural networks on board a spacecraft using electrical radio products of domestic and foreign production is carried out. Practical significance. The efficiency of preliminary network training for an auxiliary task is shown, followed by fine tuning of the subject area. A technique is described that makes it possible to increase the average accuracy of detecting objects in an image by more than 30%. The analysis of the existing element base, the possibility of hardware implementation of neural networks on board the spacecraft using electrical radio products of domestic and foreign production, as well as the criteria for selecting key elements.

Market-Based Values—Learning From the Game

Gaming is now very much a consumer activity with multiple business models and large revenue streams. If we view it as some kind of educational activity, we can rightly ask, "What does it teach us about consumer electronics?" Consumer Engineers are responding to the requirements of businesses and the requirements of Consumers. Certainly, they still need to show that their technology will be acceptable and popular in the consumer market, but they also need to show that their technology is of value to the teams and organizations that create games. They must show that their platform is able to be efficient, easy to host, is compatible with other software systems, provides the data necessary and all the other things that are of interest to game developers but have little direct value to game players.

Does Social Security Crowd out Private Wealth? A Survey of the Literature

Economic theory does not give clear predictions on the impact of social security on private wealth. The theoretical ambiguity and practical importance generated a large stream of empirical research. In this paper, we review the available evidence on displacement effects of social security. Our review includes over 100 theoretical and empirical contributions. Nearly 70% of the literature identifies the statistically significant impact of social security wealth on different forms of private savings. A strong majority of authors, who obtain statistically significant results find the negative impact of social security on private savings. The size of the impact varies. If we consider all contributions median study identifies a statistically significant, but small negative impact of social security on private wealth. Although the literature is large it has some common limitations. Probably the most important is the use of uniform and static life tables, which biases the true value of social security wealth. The literature is largely focused on developed economies, availability of research on middle-income and developing countries is low.

Population Status of the Megacephalic Map Turtles Graptemys pearlensis and Graptemys gibbonsi and Recommendations Regarding Their Listing Under the US Endangered Species Act

The Pascagoula map turtle (Graptemys gibbonsi) and Pearl map turtle (Graptemys pearlensis) were first separated from the Alabama map turtle (Graptemys pulchra) in 1992 under the former name and subsequently recognized as 2 separate species in 2010. The possibility that they should be listed under the Endangered Species Act was raised 7 yrs after separation from G. pulchra, when basking surveys showed that at most sites they were considerably less abundant than 2 sympatric congeners listed as threatened: the Pearl River drainage's ringed sawback (Graptemys oculifera, listed in 1986) and the Pascagoula River drainage's yellow-blotched sawback (Graptemys flavimaculata, listed in 1991). Historical data also indicated that the sympatric species pairs may once have been more similar in abundance. Now, more than 2 decades later, G. gibbonsi and G. pearlensis are candidates for listing. From 2015 to 2018, we surveyed basking turtles in point counts and in jon boat and canoe surveys and conducted trapping at several sites to ascertain the status of the 2 candidate species. Data were also combined with similar data collected between 2006 and 2014. Despite their similarity morphologically and in their basic ecology, 3 important differences are pertinent to the question of whether the 2 candidate species should be federally protected. First, their river systems are geomorphically very different. The medium-size to large tributary streams that the 2 species inhabit are a considerably more prominent feature of the Pascagoula drainage than the Pearl drainage and may insulate populations from potential threats on the main stems. Second, G. gibbonsi inhabited 35% more stream reach, had 22% higher catch per unit effort, and were recorded at 44% higher numbers in point counts and 3% higher numbers in basking density surveys than G. pearlensis. Coarse-scale estimates of each species' global populations suggest that G. gibbonsi is ∼ 1.56 times as abundant as G. pearlensis overall. Third, the reasons for the listing of each species' sympatric sawback congener are very different: G. oculifera of the Pearl drainage was listed primarily due to existing and imminent but as-yet-unrealized habitat modification, while G. flavimaculata of the Pascagoula drainage was listed primarily due to perceived low populations, particularly in upper portions of the drainage, and concerns regarding water quality. We conclude that G. pearlensis warrants conservation protection via a listing as threatened, while G. gibbonsi should be listed either as threatened or as threatened by similarity of appearance. For G. gibbonsi, the former option would recognize a long-term historical decline in its relative abundance suggested by trapping data from the 1950s through 1970s, while the latter would recognize its less imperiled status and protect it from the pet trade while focusing recovery efforts on G. pearlensis.

Голавль Leuciscus cephalus (Linnaeus, 1758) в бассейне реки Вымь

Впервые проанализированы материалы о распространении, морфологии и росту голавляLeuciscus cephalus (Linnaeus, 1758) в бассейне р. Вычегда (бассейн р. Северная Двина). В этой речнойсистеме голавль распространен неравномерно. В крупных водотоках (русло рек Вычегда и Сысола)встречаются единичные особи. В двух притоках р. Вымь (приток р. Вычегда) – реках Елва и Веслянаголавль может составлять до 10 % контрольных уловов. По меристическим признакам голавль, отловленный в бассейне р. Вымь, близок к типичной форме данного вида рыб. Голавль в реках Елва и Весляна характеризуется быстрым ростом (K = 0.079–0.090).

Impact of waste processing byproducts on the carbon footprint of integrated waste-to-energy strategies

Resource recovery is a promising solution for multiple waste and economic challenges worldwide. Although the life cycle environmental performance of resource recovery systems has been widely studied, the impacts of their resultant waste processing byproducts remain unassessed. Depending on their management techniques and destinations, such large waste streams, such as non-recovered recyclables and anaerobic digestate, may significantly alter the overall environmental footprint of the integrated solid waste management (ISWM) strategy. This research aimed to assess the life cycle impacts of various ISWM strategies incorporating material recovery and waste-to-energy (WTE) systems. The examined strategies were based on combinations of incineration (INC) and anaerobic digestion (AD) plants, in addition to material recovery facilities (MRFs) and landfills. The study used eighteen scenarios to explore the effect of the potential pathways of waste processing byproducts on the overall carbon footprint of the strategies. The proposed lifecycle assessment framework was applied to an emerging metropolis. The highest energy recovery was achieved in the dual AD and INC scenarios, particularly when the digestate was incinerated, followed by the mono INC scenario. The highest material recovery, specifically recycled materials and digestate, was accomplished in the MRF+AD and MRF +AD+INC scenarios, in which digestate was marketed and non-recovered recyclables were incinerated. It was found that alternative pathways of waste-processing byproducts can reduce the overall global warming potential (GWP) of the base scenarios. Combining MRF and INC as well as MRF, AD, and INC while incinerating non-recovered recyclables, disposing ash, and marketing digestate (if any) were the optimum environmental options in terms of GWP. Incineration of non-recovered recyclables reduced carbon emissions by 29% compared to disposal, whereas marketing and incinerating the digestate positively impacted GWP compared to landfilling (83 and 77%, respectively). A breakdown of the sub-processes revealed that the energy recovery, recycling, and landfilling processes had the highest contributions to the total GWP (up to 88, 92, and 98%, respectively); the collection and transportation processes had the least impacts (2 and 13%, respectively). The more waste-processing byproducts were incinerated, the greater GWP contribution of energy recovery.