Hydro-environmental processes governing the formation of hypoxic parcels in an inverse estuarine water body: Model validation and discussion

Carbon emissions affected by real-time reservoir operation: a hydrodynamic modeling approach coupled with air-water mass transfer

Air-water diffusive carbon fluxes (e.g., CO₂ and CH₄) in reservoirs, particularly those dammed in river valleys, are the major pathway of reservoir carbon emissions. Hydrodynamic conditions caused by real-time reservoir operation could potentially affect air-water transfer of these greenhouse gases (GHGs), yet still under explored. Here, we proposed an estimation method of gross carbon emissions based on a computational fluid dynamic (CFD) modelling approach. The model assumed that air-water mass transfer was primarily regulated by surface turbulence, and disregarded contributions from biogeochemical processes as well as seasonality of meteorological parameters (i.e., wind speed and direction; air temperature). Through the hydrodynamic modeling, reservoir water level, flow velocity, surface turbulence, and air-water transfer velocity of carbon fluxes were elaborated. Gross carbon emissions were integrated by the carbon fluxes in each discrete cell and time under real-time reservoir operation. The Xiangjiaba Reservoir (XJB), located in the upper Yangtze Basin, was selected as the case of the study. Based on daily hydrological data in 2018, such as reservoir inflow, outflow and water level, the gross CO₂ and CH₄ emissions in the reservoir were approximately 6.7 Gg and 5.6 Mg. Variations of daily water level and discharge induced by reservoir operation could evidently affect carbon emissions. In particular, when reservoir initiated its impoundment, the discharge could be the probably critical factor that affected mass transfer velocity and carbon emissions in the reservoir. Our model could provide a new vision for evaluating the effect of real-time reservoir operation on carbon emissions.

Implementation of a 3D Coupled Hydrodynamic–Biogeochemical Model in Kuwait Bay

Production of farmed fish is increasing worldwide and in areas which have traditionally not had large scale farming, specifically regions of high sea temperature. This research presents a methodology to assess the impacts of these developments on water quality and to manage them in the context of other discharges into the marine environment. Kuwait Bay, in Kuwait, is used as a case study for these types of environments, where the impacts of finfish farms are assessed regarding their location by implementing a 3D coupled hydrodynamic–biogeochemical model. The model was validated against a monthly climatology of field data for hydrodynamics and biogeochemical parameters. Results show that the impact of a farm size with an average historical production is minimal, with a slight increase in nutrient concentrations (0.4%) and in chlorophyll-a and oxygen (less than 1%) compared to the baseline (no farm). When the farm was located outside the bay, at the southern coast, the impact was even smaller. This suggests that the flushing conditions of the location are a prime consideration and can help mitigate the impacts of larger farm sizes.

Lagrangian Modeling of Marine Microplastics Fate and Transport: The State of the Science

Microplastics pollution has led to irreversible environmental consequences and has triggered global concerns. It has been shown that water resources and marine food consumers are adversely affected by microplastics due to their physico-chemical characteristics. This study attempts to comprehensively review the structure of four well-known Lagrangian particle-tracking models, i.e., Delft3D—Water Quality Particle tracking module (D-WAQ PART), Ichthyoplankton (Ichthyop), Track Marine Plastic Debris (TrackMPD), and Canadian Microplastic Simulation (CaMPSim-3D) in simulating the fate and transport of microplastics. Accordingly, the structure of each model is investigated with respect to addressing the involved physical transport processes (including advection, diffusion, windage, beaching, and washing-off) and transformation processes (particularly biofouling and degradation) that play key roles in microplastics’ behavior in the marine environment. In addition, the effects of the physical properties (mainly size, diameter, and shape) of microplastics on their fate and trajectories are reviewed. The models’ capabilities and shortcomings in the simulation of microplastics are also discussed. The present review sheds light on some aspects of microplastics’ behavior in water that were not properly addressed in particle-tracking models, such as homo- and hetero-aggregation, agglomeration, photodegradation, and chemical and biological degradation as well as additional advection due to wave-induced drift. This study can be regarded as a reliable steppingstone for the future modification of the reviewed models.

Environmental mechanisms associated with fish kill in a semi-enclosed water body: An integrated numerical modeling approach

Fish kill incidents are causing increasing concern to coastal communities globally due to the associated economical, commercial and social impacts. In the Arabian/Persian Gulf, human activities have accelerated to meet the rising demands and the economical ambitions, and are associated with organic and inorganic waste loads linked to algal blooms and fish kills in the receiving environment. Understanding the environmental circumstances associated with these events is crucial for planning and coastal management. This study focuses on Kuwait Bay (in the NW of the Gulf) which has a history of repeated fish kills on multiple scales. A numerical model has been successfully utilized, reproducing the key elements associated with fish kill incidents (hydrodynamics, water quality, and particle tracking) and revealing the transport and mixing time scales associated with the major fish kill incident in the Bay in 2020. The study indicated that the environmental circumstances of fish kills can vary in the Bay, so such incidents must be investigated individually. The large scale fish kill incident was found to be associated with unprecedented waste loads during summer 2020. This coincided with a low dynamic period at critical locations within the Bay. As a result, major hypoxic conditions lasting 15 days occurred along the main axis of the Bay in a manner unusual compared to previous events. The model provided key information on the dissolved oxygen, including the mixing and transport time scales, before, during, and after the event. The transport of the dead fish from the hypoxic front to the shoreline was also modeled. Collectively, model results provided generic coastal management approaches suitable for shallow embayments such as the Bay.

World record extreme sea surface temperatures in the northwestern Arabian/Persian Gulf verified by in situ measurements

The Arabian or Persian Gulf is recognized as one of the warmest estuaries globally. The sea surface temperature (SST) has been utilized in several studies to gauge the global warming associated with climate change. In the current investigation we present detailed in situ SST measurements for five consecutive years (2016, 2017, 2018, 2019, 2020) in the northwest of the Gulf, specifically in Kuwait Bay. Results of data analyses were compared with the historical records for the region, revealing that the SST reached an extreme level never previously recorded either in the Gulf. The extreme SST in Kuwait Bay reached 37.6 °C, recorded by the offshore station KISR01 located in the middle of the Bay. The event was associated with heatwave, neap tides, and an extended period of Kous winds which are characterized by high humidity levels and accompanied by large-scale intermittent fish kill incidents that extended the full length of the Kuwait coastline. Several fish kill incidents were reported also at the northern edge of the Gulf along Shatt Al Arab stretch in Iraq. The species found dead during the incident varied considerably, unlike those found in the frequent summer incidents. The records presented in this study may provide evidence to the effects of global warming, aid further research, and encourage the concerned international government bodies to deliver urgent environmental policies.

Hydro-environmental processes governing the formation of hypoxic parcels in an inverse estuarine water body: Assessment of physical controls

Hypoxia is often thought of as the key factor responsible for fish kill events in coastal areas but fish kill events are too complex to be governed by a single factor. The events are influenced by a combination of chemical, biological and physical processes. Hydrodynamics play a key role in understanding the formation of hypoxia in shallow waters. This study aims to identify the settings of the physical forces that lead to a large-scale depletion of dissolved oxygen in Kuwait Bay at the northwest of the Arabian Gulf. The assessment, made with a validated three-dimensional numerical model (Alosairi and Alsulaiman, 2019), revealed that the pollution from the outfalls leads to nearfield depletion of dissolved oxygen but has only a minor effect on the bay-scale dissolved oxygen. This is a result of the strong dynamics of Kuwait Bay, which mixes the pollutant rapidly before it is transported seawards. Offshore, a low dynamic region has been identified near Jahra Bay which is susceptible to occasional dissolved oxygen depletion. Assessment of the physical forces revealed that the density-driven current and, to a greater extent the wind regime, controlled the formation of a hypoxic parcel near Jahra Bay. The combination of neap tides and low mixed winds reduced mixing and enabled the longer residence times of Kuwait Bay. These are the most critical circumstances, as the average dissolved oxygen can be reduced by 50% during summer. The circumstance resulting in low dynamics near Jahra Bay were also found to be effective in explaining algal blooms.

Hydro-environmental processes governing the formation of hypoxic parcels in an inverse estuarine water body: Model validation and discussion

The mechanism of fish kill events is not thoroughly understood in Kuwait Bay (KB). However, it is obvious that fish kill events have a close relationship with hypoxia due to some biogeochemical processes. Hydrodynamics controls the dissolved oxygen (DO) concentration that occurs within various spatial and temporal scales. The current study utilizes a previously validated hydrodynamic model to drive a three-dimensional water quality model for KB. The water quality model was validated using comprehensive field measurements during the summer of 2018. Reasonable model computations were achieved to represent the general patterns of the DO in KB. The model computations reproduced the formation of hypoxic water parcels. Some minor fish kill events that occurred during summer 2018 correlated well with predicted hypoxic parcels. The hydro-environmental controls over the extent of the hypoxic parcels and interplaying forces shall be addressed in a separate article by the same authors.