A brief overview of the issues faced by Harmful Algal Blooms along Johor straits

Urbanization of coastal areas worldwide has increased due to an increase in the global population. The production of sustainable aquaculture is greatly impacted by a surge of this urbanization. In certain countries, particularly for individuals with more limited space in metropolitan areas, such as along Johor's coastal area, aquaculture might well be a good strategy to maintain food availability (continuous production plus high-quality meals). Consequently, the adoption of aquaculture along the Johor's coastal area has lead to Harmful Algal Blooms (HAB). This paper examines the evolution of the aquaculture industry of Malaysian Johor coastal areas in relation to HABs. In addition to HABs, the aforementioned metropolitan regions confront diverse economic and geographical obstacles when attempting to increase their aquaculture production sustainably. Those problems are therefore addressed using a variety of operations as well as surveillance techniques in this brief overview. Lockdowns and border prohibitions caused by the continuous COVID-19 infection have had a global impact. These logistical difficulties in the seafood industry have increased dependency on imported supplies. It is suggested that international decision- making, supervision, and knowledge exchange can successfully solve the challenges urbanized areas have in ensuring sustainable food security through the evolution within the aquaculture sector.

Mapping the trophic state index of eastern lakes in China using an empirical model and Sentinel-2 imagery data

Lake eutrophication has become a critical environmental issue due to the global effects of anthropogenic activities and climate change, and has been comprehensively studied for many years. A series of models and indicators have been proposed to assess the trophic state of lakes. The trophic state index (TSI) is a synthetic index that integrates chlorophyll-a, water clarity, and total phosphorus and is widely used to evaluate the trophic state of aquatic environments. In this study, we collected in situ lake samples (N = 431) from typical lakes to match Sentinel-2 MultiSpectral Instrument (MSI) imagery data using the Case 2 Regional Coast Color processor. Then we developed a new empirical model, TSI = -34.04 x (band 4/band 5) - 1.114 x (band 1/band 4) + 97.376. This model is valid for all of China, with good performance and few errors (RMSE = 7.36;MAE = 6.25) for the validation dataset. Recognizing that over 94% of the Chinese population located along eastern watersheds and large lakes have competing water uses, and given the TSI model on the seasonal scales, we further estimated the mean TSI and trophic state in eastern Chinese lakes (> 100 km2) from 2019 to 2020. The results revealed that more lakes were eutrophic in autumn (94.28%) than in spring (> 77.14%), indicating a serious eutrophication of eastern lakes. Although the eastern lakes have been studied in more detail, this study found that eutrophication still has markedly negative impacts on lake ecosystems. In addition, no significant improvement was observed in spring, most likely due to the months of curfew/lockdown from January 2020 onwards due to COVID-19. This may be due to the enrichment of nutrients deposited in sediment or watershed soil, which can be characterized as "autochthonous sources" of lake eutrophication, over decades with high rates of economic development. This study demonstrates the applicability of Sentinel-2 MSI data to monitor lake eutrophication as well as the feasibility of blue/red and red/red edge combinations. The framework and TSI model used bands available on MSI sensors to develop a novel approach for generating historical eutrophication data for large-scale evaluation of and decision-making related aquatic environmental changes, even in poorly studied areas.

Participation in Household Hazardous Waste Management: A Case Study of the Dam Community, Northeast of Thailand

In Thailand, Household Hazardous Waste (HHW) is usually disposed of along with general waste, since people lack accurate knowledge and understanding of how to manage HHW. Additionally, the government agencies are short of the HHW management system. The purposes of this study were, 1) to investigate HHW management, and 2) to explore public participation in HHW management. The study area was Sok Kae Village. It is located around Huai-Luang Dam, which is considered an important water resource of Udon Thani Province. The results of the study revealed that most of HHW in Sok Kae Village consisted of fertilizer containers and pesticides because most people were agriculturists. Besides fertilization and pesticide products, containers of household cleaners were also found because people utilize them in their everyday life. Regarding public participation, it was found that people participated in HHW management at a low level. The personal information affecting the HHW management significantly was the income (P-value < 0.05). People in the village suggested that there should be particular boxes and places for HHW. Moreover, people felt that it would be advantageous for them to earn an income through HHW management. This study mainly focused on the importance of the study area, which is located near the water resource. Regarding chemical contamination from HHW, this would possibly bring about issues in human health, as well as environmental pollution. For HHW management, public participation should be considered, and government agencies need a solemn policy and management system to achieve success. © 2023, ASERS Publishing House. All rights reserved.

Impact of Depuration Plants on Nutrient Levels in the North Adriatic Sea

Macronutrients (nitrogen—N;phosphorus—P;silicon—Si) play a crucial role in ocean surface waters stimulating the planktonic primary production;in fact, their concentrations are fundamental for the evaluation of the trophic status of the water body and eutrophication phenomena. Loads of nutrients into the sea are mainly represented by river runoff and depuration plant outflows. For this purpose, in the framework of the AdSWiM project, “Managed use of treated urban wastewater for the quality of the Adriatic Sea” levels of N-NO3, N-NO2, N-NH4, Si-Si(OH)4, P-PO4 (dissolved inorganic phosphorus—DIP) and total dissolved phosphorus (TDP) were determined colorimetrically at two sites in the Gulf of Trieste: Lignano Sabbiadoro and San Giorgio di Nogaro. For each site, during the bathing seasons of 2019 and 2020, a sample from the depuration plant (DP) outflow and another one in the bottom seawater near the discharging pipelines were collected. Results showed a strong dilution effect on nutrient levels passing from DPs to the sea, from one to three orders of magnitude and a low and not harmful concentration in seawater. The outflow composition of the two DPs showed that the main fraction of dissolved inorganic nitrogen (DIN) was represented by N-NO3 for Lignano, while in San Giorgio the major contribution came from N-NH4. Concerning phosphorus, Lignano showed a higher content (about 3 times) of P levels than San Giorgio, but a similar percentage composition, DIP:DOP (77:23), compared to the seawater site one DIP:DOP (2:98). Despite the difference between the DPs, no substantial differences were found in the sea sites, demonstrating the negligible effect of the DP outflows in the nutrient levels in the study area.

Post corona water crisis management

This article talks about future water crisis management after the COVID-19 pandemic. Scenarios such as water use wastage due to hand washing and eutrophication with soap and detergent and water spray as sanitary measures in cities and metros were highlighted as examples and part of the crisis. More than this, climate change in tandem with hydrologic variability were viewed to have a profound impact on the water sector as well. Finally, the article predicts that in 2025, water shortages will be more prevalent due to rising demand and conflict, and how governments will find solutions to such issues moving forward.

Callous Optimism: On Some Wishful Thinking ‘Blowbacks’ Undermining SDG Spatial Policy

Established students and studies of sustainable urban planning and broader regional varieties of spatial evolution have been seized with ambitions to ‘make the world a better place’. To criticise that ambition would be more than churlish, except that it tends to betray a certain ‘cognitive dissonance’. For what they wish to ‘make better’ was already in a bad, even ‘parlous state’ by the aspirations of their predecessor students, studies, and tellingly, actions. Of course, there are exceptions. Some urban actions seem to have ‘worked’ historically. Barcelona’s Eixample by Ildefons, Haussmann’s questionably motivated but now widely admired re-design of Paris, and Vienna’s Ringstrasse vilified by early modernist Adolf Loos, mentor of Richard Neutra, originator of the domestic International Style. These were a mixed bag of architects, by turns municipal, militaristic, and radical, albeit thwarted in Neutra’s case by McCarthyite blacklisting of his Elysian Fields 3300 dwelling public housing project at Chavez Ravine, Los Angeles. Clearly, the top-down tendency persists in the image of the ‘heroic architect’ that can still be found. As well as much-vaunted ‘starchitecture’, it also persists in the failed imagery of ‘garden bridges’, ‘urban Vessels’, ‘smart cities’ and London’s ‘urban mound fiasco’. This article acts as a corrective advocating more collective than individualistic crafting of ‘solutions’ constructed upon wishful thinking if not callous optimism in efforts at mitigation of global heating. The article consists of a brief account of ‘seeing like a city’ rather than a ‘sovereign state’ in sustainability policy-pledging and its origins. It then combs through some five exemplars—from green city planning to ambient heating, food waste, plastic waste and water eutrophication—of ‘callously optimistic’ wishful thinking in SDG proposals for urban and regional climate change moderation. Modest new communicative governance methodology is proposed in the cause of SDG policy learning.

How does COVID-19 affect the life cycle environmental impacts of U.S. household energy and food consumption?

The COVID-19 pandemic has reduced travel but led to an increase in household food and energy consumption. Previous studies have explored the changes in household consumption of food and energy during the pandemic;however, the economy-wide environmental implications of these changes have not been investigated. This study addresses the knowledge gap by estimating the life cycle environmental impacts of U.S. households during the pandemic using a hybrid life cycle assessment. The results revealed that the reduction in travel outweighed the increase in household energy consumption, leading to a nationwide decrease in life cycle greenhouse gas emissions (−255 Mton CO2 eq), energy use (−4.46 EJ), smog formation (−9.17 Mton O3 eq), minerals and metal use (−16.1 Mton), commercial wastes (−8.31 Mton), and acidification (−226 kton SO2 eq). However, U.S. households had more life cycle freshwater withdrawals (+8.6 Gton) and slightly higher eutrophication (+0.2%), ozone depletion (+0.7%), and freshwater ecotoxicity (+2.1%) caused by increased household energy and food consumption. This study also demonstrated the environmental trade-offs between decreased food services and increased food consumption at home, resulting in diverse trends for food-related life cycle environmental impacts.

A Study on the Environmental Impact During Distribution and Disposal Stages for the 3-Ply Face Masks by Using Life Cycle Assessment (LCA)

The demand of face masks had increased tremendously due to pandemic outbreak of COVID-19, leading to the increment production rate of face masks in Malaysia. Waste is also produced at the same time, resulting impacts towards the environment. Due to the land scarcity issue in Malaysia, the end of life treatment for the waste is taken into consideration. The study tools used in this study is life cycle assessment (LCA) to identify the significant potential environmental impact produced during the life cycle stages for distribution and disposal through GaBi Education Software. The disposal stage between landfill and incineration of the 3-Ply face masks is studied to determine the end of life treatment for it. The impact assessment method selected in this study is CML 2001-Jan 2016 with the environmental indicator of Global Warming Potential (GWP), Acidification Potential (AP), Eutrophication Potential (EP) and Ozone Depletion Potential (ODP). GWP results in producing highest impact to the environment during both distribution and disposal stages. The impact of GWP also relates to the climate change. Modern incineration is recommended to overcome the issue of land scarcity in Malaysia as the amount of waste by 3-Ply face masks are increasing due to the pandemic COVID-19, reducing the impacts towards the environment. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation

The scholarly literature on the links between Artificial Intelligence and the United Nations’ Sustainable Development Goals is burgeoning as climate change and the biotic crisis leading to mass extinction of species are raising concerns across the globe. With a focus on Sustainable Development Goals 14 (Life below Water) and 15 (Life on Land), this paper explores the opportunities of Artificial Intelligence applications in various domains of wildlife, ocean and land conservation. For this purpose, we develop a conceptual framework on the basis of a comprehensive review of the literature and examples of Artificial Intelligence-based approaches to protect endangered species, monitor and predict animal behavior patterns, and track illegal or unsustainable wildlife trade. Our findings provide scholars, governments, environmental organizations, and entrepreneurs with a much-needed taxonomy and real-life examples of Artificial Intelligence opportunities for tackling the grand challenge of rapidly decreasing biological diversity, which has severe implications for global food security, nature, and humanity.

Mapping the Trophic State Index of Eastern Lakes in China using an Empirical Model and Sentinel-2 Imagery Data

Lake eutrophication has become a critical environmental issue due to the global effects of anthropogenic activities and climate change, and has been comprehensively studied for many years. A series of models and indicators have been proposed to assess the trophic state of lakes. The trophic state index (TSI) is a synthetic index that integrates chlorophyll-a, water clarity, and total phosphorus and is widely used to evaluate the trophic state of aquatic environments. In this study, we collected in situ lake samples (N=431) from typical lakes to match Sentinel-2 MultiSpectral Instrument (MSI) imagery data using the Case 2 Regional Coast Color processor. Then we developed a new empirical model, TSI = –34.04 × (band 4/band 5) – 1.114 × (band 1/band 4) + 97.376). This model is valid for all of China, with good performance and few errors (RMSE=7.36;MAE=6.25) for the validation dataset. Recognizing that over 94% of the Chinese population located along eastern watersheds and large lakes have competing water uses, and given the TSI model on the seasonal scales, we further estimated the mean TSI and trophic state in eastern Chinese lakes (> 100 km2) from 2019 to 2020. The results revealed that more lakes were eutrophic in autumn (94.28%) than in spring (> 77.14%), indicating a serious eutrophication of eastern lakes. Although the eastern lakes have been studied in more detail, this study found that eutrophication still has markedly negative impacts on lake ecosystems. In addition, no significant improvement was observed in spring, most likely due to the months of curfew/lockdown from January 2020 onwards due to COVID-19. This may be due to the enrichment of nutrients deposited in sediment or watershed soil, which can be characterized as “autochthonous sources” of lake eutrophication, over decades with high rates of economic development. This study demonstrates the applicability of Sentinel-2 MSI data to monitor lake eutrophication as well as the feasibility of blue/red and red/red edge combinations. The framework and TSI model used bands available on MSI sensors to develop a novel approach for generating historical eutrophication data for large-scale evaluation of and decision-making related aquatic environmental changes, even in poorly studied areas.

Facing the Forecaster’s Dilemma: Reflexivity in Ocean System Forecasting

Unlike atmospheric weather forecasting, ocean forecasting is often reflexive;for many applications, the forecast and its dissemination can change the outcome, and is in this way, a part of the system. Reflexivity has implications for several ocean forecasting applications, such as fisheries management, endangered species management, toxic and invasive species management, and community science. The field of ocean system forecasting is experiencing rapid growth, and there is an opportunity to add the reflexivity dynamic to the conventional approach taken from weather forecasting. Social science has grappled with reflexivity for decades and can offer a valuable perspective. Ocean forecasting is often iterative, thus it can also offer opportunities to advance the general understanding of reflexive prediction. In this paper, we present a basic theoretical skeleton for considering iterative reflexivity in an ocean forecasting context. It is possible to explore the reflexive dynamics because the prediction is iterative. The central problem amounts to a tension between providing a reliably accurate forecast and affecting a desired outcome via the forecast. These two objectives are not always compatible. We map a review of the literature onto relevant ecological scales that contextualize the role of reflexivity across a range of applications, from biogeochemical (e.g., hypoxia and harmful algal blooms) to endangered species management. Formulating reflexivity mathematically provides one explicit mechanism for integrating natural and social sciences. In the context of the Anthropocene ocean, reflexivity helps us understand whether forecasts are meant to mitigate and control environmental changes, or to adapt and respond within a changing system. By thinking about reflexivity as part of the foundation of ocean system forecasting, we hope to avoid some of the unintended consequences that can derail forecasting programs.

Assessment of Tilapia–Freshwater Prawn Co-Culture Schemes in Tanks and Lake-Based Cages for Increased Farm Production

The technical viability of tilapia (I-ExCEL strain Nile or red) and giant freshwater prawn (GFP) co-culture in cages-within-tanks was evaluated while appropriate feeding protocols for tilapia-GFP co-culture in cages in a eutrophic lake were determined. Specifically, production parameters in all test species grown for five months in tank co-culture (where only tilapias were fed) were compared, while the best feeding protocol from among the following treatments: (a) Tfed—fed tilapias;(b) GFPfed—fed prawns and (c) T-GFPfed—both species fed, were defined. I-ExCEL Nile tilapias grew faster in tank co-culture whether reared singly or otherwise. However, red tilapia-GFP tank co-culture gave the best results considering key production traits in all test species (red tilapia —2.52%/day specific growth rate or SGR, 83.3% survival;GFP—1.17%/day SGR, 72.85% survival). Lake-based co-culture was technically feasible at stocking densities of 12.5/m2 for tilapia and 2.4 to 4/m2 for prawns even when only tilapias were fed;prawns grew to desired marketable sizes by thriving mainly on detritus and natural food organisms in the lake. However, further refinements can still be made to optimise the co-culture schemes to make them more sustainable and provide artisanal fish farmers options in increasing farm yields through multi-species aquaculture.