Seasonal Wind Research Articles

Influence of seasonal air density fluctuations on wind speed distribution in complex terrains in the context of energy yield

Given the variable nature of wind speed and the importance of accurately determining the energy that can be generated at a given site, understanding the wind speed at different time scales is crucial. In addition to differences within a very short period (i.e., hourly and daily), these changes are also pronounced throughout the seasons. They are affected by the atmospheric conditions and the terrain's complexity. Therefore, this study investigates the seasonal wind speed variability and its impact on the potential energy generation in a representative study case of Koznica, the mountainous region in Kosovo. The wind speed measurements campaign started in May 2019 and ended in April 2020; the measurements were made at a 10 min time scale. Ground measurements show that the wind direction is mainly northwest and southeast. Then, the wind speed and potential energy generation variability analysis were conducted for three different measurement heights. The results show that winter and spring have the highest potential wind energy capacity with an average speed of 6.7 m/s. In comparison, the average wind speed is 6.12 m/s. Potential energy generation for each season (i.e., spring, summer, autumn, and winter is as follows: 64,396.7, 22,040.3, 42,539.3, and 46,417.2 MWh/year, respectively, while the average capacity factor is 25%. Solution-oriented findings from this study might provide valuable insights to policymakers and investors regarding wind power energy exploration in Kosovo and other places with similar geo-climatic conditions.

Climatic impacts of wind power in the relatively stable and unstable atmosphere: A case study in China during the explosive growth from 2009 to 2018

The interaction between wind farms and the atmosphere becomes non-negligible. Here, we established a dynamic wind power development scenario (2009–2018) in China and performed the simulations using a numerical weather prediction model to quantify the climatic impacts. The results show that the significant local and regional climatic impacts are closely related to atmospheric stability. In particular, for the unstable atmosphere in summer, the induced vertical mixing breaks the inversion layer and promotes the variation of the high-level atmosphere with the evolution of mesoscale circulation, forming the regional climatic responses. A peak seasonal average wind speed deficit of 0.92 m/s and slight warming occur surrounding northern China, and a peak wind gain of 0.21 m/s and cooling of 0.52 °C emerge in southeastern China. It is expected that these impacts will be enlarged in the future, and it should be thought highly of the potential implications on sustainable wind development.

Reproductive phenology of coralline algae Porolithon antillarum and Lithophyllum sp. under seasonal upwelling conditions, Colombian Caribbean

Crustose coralline algae are a group of calcified algae that has an important ecological role in coral reefs, such as cementation and stabilization of the reef framework, as well as providing habitat and food for different marine associates. Among the common genera, Lithophyllum and Porolithon (Corallinales) are conspicuous components of the Santa Marta reef communities in the Colombian Caribbean. From December to April, this area is influenced by seasonal trade winds, a phenomenon that is related to the upwelling of subsurface waters that causes a decrease in temperature from ∼29 °C to ∼22 °C and pH from ∼ 8.5 to ∼8.0. The aim of this study was to evaluate the effect of upwelling and non-upwelling (2017, 2018, and 2021) on the reproductive phenology of Lithophyllum sp. and Porolithon antillarum based on counts of superficial conceptacles per cm2 and a determination of the reproductive stages of the algae collected in Tayrona National Natural Park and Punta Venado, Santa Marta. The algae presented the highest number of mature conceptacles during the upwelling period for P. antillarum and Lithophyllum sp. (46 and 27 conceptacles cm2, respectively). Moreover, the tetrasporangial stage was the most frequent in all the thalli, thus indicating the predominance of this phase in the reproductive cycle of the algae studied. These results are important as they indicate the influence of seasonality on the reproductive stages of CCA and bring the need to do more research into the influence of the environment on the physiological mechanisms that determine the changes in the life cycle of these algae.

Climate, trends and variability of extreme winds along the southwest coast of India

AbstractThe extreme wind climate and its trends and variability of the southwest coast of India, particularly the Kerala coast, are investigated using hourly reanalysis wind speeds for the period 1979–2021. The observed maximum wind speed and 99th percentile wind speed off Kerala coast are 21.0 and 11.3 m·s−1, respectively. The predominant direction of high wind speeds is in the SW–WNW sector, which accounts for 93.5% of the total high winds. Extreme wind speeds in this region are not due to tropical cyclones alone, but also due to seasonal high winds. Seasonally, the premonsoon and SW monsoon extreme winds are predominantly in the WSW–WNW directional sector, while postmonsoon strong winds are present in all directional sectors, but predominantly in the SSW–WNW sector, followed by the E–SSE sector. The 99th percentile wind speeds during premonsoon, SW monsoon and postmonsoon are 8.8, 12.3 and 8.9 m·s−1, respectively. A significant decreasing trend is observed in the 99th percentile wind speeds during 1979–2021, ranging from 3 to 6 cm·s−1·year−1 off Kerala coast. This is in contrast with global increasing extreme wind speeds, and it can be attributed to regional variability as well as weakening of the land–sea thermal gradients associated with rising surface temperature in the Arabian Sea in the light of global warming. In addition to the long‐term declining trend and monthly as well as seasonal features, distinct interannual variations are also noticed in the 99th percentile wind speeds. Analysis shows that the atmospheric teleconnections associated with El Niño–La Niña events and Indian Ocean Dipole have an important role in the variability of extreme wind speeds. The co‐occurrence of positive (negative) IOD with El Niño (La Niña) results in a sharp decline (increase) in extreme wind speeds. Significant decadal variations are also noticed in the 99th percentile wind speeds.

Responses of the wintertime auroral E-region neutral wind to varying levels of geomagnetic activity

Introduction: The auroral E-region is an important interface where forces from the magnetosphere and the lower atmosphere converge and have a significant effect on the vertical structure of the neutral winds. The resulting vertical neutral wind structure has been reported to be associated with altitude-dependent and nonlinear effects from different forces. We conduct a statistical examination of the reactions of wintertime neutral winds to four various degrees of geomagnetic activity, with a focus on the impacts of ion drag.Methods: We derive neutral winds using the PFISR measurements covering 2010–2019 and will give a statistical view of the auroral E-region neutral wind with a focus on the winter nighttime during different disturbed conditions. We investigate the effects of the geomagnetic activity on the neutral winds and the tidal components by dividing the dataset into 4 subsets. Tidal decomposition is conducted by least square fitting of the seasonal median winds to obtain the mean, diurnal amplitude, diurnal phase, semidiurnal amplitude, and semidiurnal phase.Results and discussion: We find that 1) when geomagnetic activity increases, dawn-dusk asymmetry exists in both zonal and meridional winds in the upper E-region with stronger zonal wind in the dusk sector than in the dawn sector and much stronger meridional wind in the dawn sector than in the dusk sector. 2) Tidal decomposition results reveal that geomagnetic activity has more significant effects on the meridional diurnal amplitude than zonal diurnal amplitude while the zonal and meridional semidiurnal amplitudes show similar changes when the geomagnetic activity increases. In addition, the maximum semidiurnal amplitude, particularly in the zonal direction, appears at a higher altitude with larger values as geomagnetic activity increases, indicating an ascending transition altitude for the semidiurnal oscillations. The ascending trend of maximum semidiurnal amplitude appearing at higher altitudes during more disturbed conditions has not been reported before. 3) Zonal wind over 110 km demonstrates increasing ion drag effects in the evening sector and the effects of coupled ion drag and other factors after midnight.

Priming corn resistance to Goss’s wilt using a weakly aggressive strain of Clavibacter nebraskensis

Goss’s wilt, caused by the gram-positive bacterium Clavibacter nebraskensis, has become one of the most widely spread corn diseases in the USA and Canada. Considered as a relatively new disease, with limited knowledge about the more recently renamed pathogen causing it is, it is today a serious yield-limiting factor in corn crops in North America. The diversity of C. nebraskensis strains translates into the differential plant responses it causes, ranging from hypersensitive-like response to partial resistance, or otherwise susceptibility expressed as dark, water-soaked spots and shiny patches of dried bacterial ooze on the lesions. Weakly aggressive strains of C. nebraskensis typically appear as the season winds down and the crop is about to be harvested, whereas highly aggressive strains can be found at any point during the growing season. Previous research showed that plant’s ethylene and reactive oxygen species (ROS) are essential in limiting the spread of Goss's wilt symptoms near infection sites by triggering programmed cell death (PCD). Preliminary observations that certain strains induce strong defense responses with very little to no symptoms fed the idea to use them for disease resistance priming. The induction of biosynthetic or responsive genes of ethylene, ROS, and salicylic acid (SA) both at the local and distal tissues is in line with the limited disease symptoms development in response to priming with the weakly aggressive strain before further inoculation with a highly aggressive one. The results further expand our understanding of differential host responses to strains with different levels of aggressiveness. The priming process led to an inhibition of the elongated lesions in the susceptible corn plants in comparison with the unprimed plants. The expression patters of a lectin receptor-like kinase, Salt Intolerance 2 (ZmSIT2), and blue copper binding protein (ZmBCP) suggests them as key mediators of ethylene and ROS homeostasis in corn tissues upon infection. This adds to the pool of knowledge on corn defenses against bacterial pathogens and the mechanism of its biopriming, which could serve as an environment-friendly alternative method to control Goss’s wilt.

Behind gold for pepper: The players and the game of Indo-Mediterranean trade

AbstractThis article offers a fresh approach to the study of ‘Indo-Roman’ trade by defining the ‘players’ of the ‘game’ of Indian Ocean commerce in the early centuries of the Common Era. Numerous specialized personnel hailing from the Mediterranean, Near East, and Indian subcontinent were involved in the movement, processing, and sale of Indian Ocean commodities. Players throughout the ancient world formed principal-agent relationships, corporate structures, and diaspora communities based on shared heritage and profession to facilitate their efforts. These tactics lowered the transaction costs of commerce arising from a combination of factors: the seasonal monsoon winds restricting wind-powered travel; the asymmetry of information for traders operating abroad without a strong support network; and state interventions (e.g. targeted infrastructure projects and tariffs). Certain individuals attained competitive advantages by cooperating with states to regulate the very commerce in which they engaged (e.g. tax-farmers).

Seasonal prediction of UK mean and extreme winds

AbstractRecent studies have shown that seasonal forecasting systems have significant skill in predicting northern European winds and storms in winter, but other seasons have not been so extensively analysed. Given this fact, and coupled with requests from users of the Met Office 3‐month outlook for the United Kingdom (UK), we have investigated the skill in predicting seasonal (3‐month) mean UK wind speed and storms (extreme winds) with a one‐month lead‐time, throughout the year, using a large ensemble from the Met Office's seasonal prediction system, GloSea. We find that seasonal UK storms and mean wind speeds are well correlated, and therefore a single prediction of UK mean wind speed will give an indication of predicted storm counts. Skill for these predictions is highest in winter (December–February), related to predictability of the North Atlantic Oscillation. In contrast, summer (June–August) UK wind skill is not significant and furthermore appears to be negative. We find evidence, in both observations and model members, for a Rossby wave from the tropics influencing UK summer winds and forming a significant predictable component in the model ensemble mean. However, the model predictable signal appears to be out of phase with that observed leading to the negative correlation. Further investigation into summer Rossby wave generation and propagation is necessary to understand whether summer predictions could be improved.

Assessment of the Vulnerability of Riverine Cities and Their Coping Capacity against Floods (Case Study: Ahvaz Metropolis)

Based on global statistics, floods rank the first among natural disasters that severely disrupt human life, property, and the environment. Iran, as one of the flood-prone countries, is located in southwestern Asia. The geographical elevation, maritime influences, seasonal winds, and proximity to mountain ranges or deserts play a significant role in its daily and seasonal temperature fluctuations, as well as its precipitation patterns and types. According to official statistics in Iran, among climate-related hazards, some 70% of the annual funds of the Plan for Reducing the Effects of Natural Disasters have been spent on compensation for damages from floods. Yet, what augments the importance of floods and their damages is the fact that human and urban centers have been located in flood-prone areas. Therefore, considering the dense populations and financial capitals in such areas, it is necessary to assess the vulnerability of urban floods, especially in big cities like Ahvaz. This metropolis, as the capital of Khuzestan province, is located in the marshy plains with a population of over one million people. It is traversed by the country’s most water-rich river, the Karun. The aim of this study is to assess the vulnerability of Ahvaz from flood as a natural hazard and its coping capacity. The methodology of the study is descriptive-analytical and is based on its practical purpose. Fuzzy Hierarchy Model (Fuzzy Analytic Hierarchy Process) has been used for the spatial analysis of vulnerability and the capacity to deal with floods. In summary, the findings are as follows: (a) Considering the floods that have occurred in the past six decades and comparing the affected areas with the results of this research in terms of highly vulnerable areas in the central part of the city, the model used has shown high efficiency in determining the vulnerability caused by urban flooding. (b) As far as vulnerability is concerned, location and physical–environmental conditions stimulate and reinforce other factors which are influential in determining the level of vulnerability. (c) Encroachment on river boundaries, especially limiting the river width, leads to a reduction in flood capacity and an increase in vulnerability in those areas. (d) The vulnerability level of Ahvaz to flooding, based on area, falls within five categories of vulnerability spectrum as follows: Very High 4.6%, High 8.7%, Moderate 13.4%, Low 15.2%, and Very Low 58%.

In Situ Observation of Near-Surface Wind Seasonal Variation on the Southern Coast of Sri Lanka

The characteristics of local surface wind are closely related to the assessment of wind power resources and the oscillation period of offshore wind turbines. In this research, we analyzed near-surface wind observation data from the southern coast of Sri Lanka, comparing the surface wind variation characteristics across different seasons. Through spectral analysis, we discuss the wind stability and oscillation period, aiming to provide information for the management strategies and oscillation issues of offshore wind turbines in the North Equatorial Indian Ocean to ensure their stable operation. Our findings showed that the Indian summer monsoon dominated the seasonal surface wind variation in the southern coast of Sri Lanka. The local monsoon period began in mid-May and ended in mid-October, during which stable southwest winds prevailed with an average maximum 10 m wind speed exceeding 6.0 m/s. In contrast, surface wind was unstable and weaker during autumn and winter. The surface wind speed exhibited a clear diurnal oscillation throughout the year. The wind speed power spectral density exhibited clear peaks at periods of 24 h, 12 h, and 6 h.

Prediction model of wind speed using hybrid artificial neural network based on Levenberg-Marquardt algorithm

<span lang="EN-US">In this paper, a new method is developed to model the wind speed data that is considered as a function of seasonal wind variations. A hybrid artificial neural network (HANN) is investigated based on the Weibull distribution model. The presented HANN model predicts wind speed data with seasonal and chronological characteristics similar to real wind data. The design of the wind farm was implemented using MATLAB software. The suggested model has been applied and validated with wind data collected from the site of Tangier-MED in Morocco over two years, 2015 and 2016. The errors in terms of mean absolute percentage error MAPE and root mean square error RMSE are respectively 0.011 and 0.067 in 2015.</span>

Weather, sex and body condition affect post-fledging migration behaviour of the greater flamingo Phoenicopterus roseus

BackgroundUnderstanding which intrinsic and extrinsic factors dictate decision-making processes such as leaving the natal area or not (migratory vs resident strategy), departure time, and non-breeding destination are key-issues in movement ecology. This is particularly relevant for a partially migratory meta-population in which only some individuals migrate.MethodsWe investigated these decision making-processes for 40 juvenile greater flamingos Phoenicopterus roseus fledged in three Mediterranean colonies and equipped with GPS-GSM devices.ResultsContrary to the body size and the dominance hypotheses, juveniles in better body condition were more likely to migrate than those in worse conditions, which opted for a residence strategy. Flamingo probability of departure was not associated with an increase in local wind intensity, but rather with the presence of tailwinds with departure limited to night-time mostly when the wind direction aligned with the migratory destination. Moreover, a positive interaction between tailwind speed and migration distance suggested that juveniles opted for stronger winds when initiating long-distance journeys. In contrast to previous studies, the prevailing seasonal winds were only partially aligned with the migratory destination, suggesting that other factors (e.g., adults experience in mix-aged flocks, availability of suitable foraging areas en route, density-dependence processes) may be responsible for the distribution observed at the end of the first migratory movement. We found potential evidence of sex-biased timing of migration with females departing on average 10 days later and flying ca. 10 km/h faster than males. Female flight speed, but not male one, was positively influenced by tailwinds, a pattern most likely explained by sexual differences in mechanical power requirements for flight (males being ca. 20% larger than females). Furthermore, juveniles considerably reduced their flight speeds after 400 km from departure, highlighting a physiological threshold, potentially linked to mortality risks when performing long-distance non-stop movements.ConclusionThese results suggest that not only intrinsic factors such as individual conditions and sex, but also extrinsic factors like weather, play critical roles in triggering migratory behaviour in a partially migratory metapopulation. Furthermore, social factors, including conspecific experience, should be taken into consideration when evaluating the adaptive processes underlying migration phenology, flight performance, and final destination selection.

Multilevel climatic responses in migratory insects

Abstract Evidence is mounting that migration in ectotherms is more widespread than formerly believed. Thus, a number of insects living in temperate climates, including locusts, butterflies, moths and dragonflies, following seasonal migration strategies show high responsiveness to alterations in climatic processes, similar to a broad taxonomic range of birds. On global scales, migratory insects include iconic large butterflies, dragonflies and also a number of crop pests. However, insect migrations are ecologically distinct from those of vertebrates, often relying heavily on seasonal winds and multiple generations to complete a full annual cycle, due to short insect life spans. Here, we review publicly available online resources to identify key patterns of spatial, taxonomic scales and complexity of climatic responsiveness to environmental predictors in migratory insects. We found that migratory insects respond to various levels of complexity in climatic patterns, and these responses are predicted by life history and ecological traits: (i) responses to climatic effect type were predicted by climate zone(s) of the distribution area, whereas (ii) response to climatic complexity was predicted by body size. In conclusion, migratory insects respond to various levels of complexity in climatic processes, and this responsiveness is governed by a substantially wider array of environmental predictors than demonstrated in vertebrates.

Microclimate adaptability analysis of waterfront traditional villages: a case study of Mingyuewan Village in Suzhou

Abstract Traditional villages contain human beings adapting to the natural environment and spontaneously forming a living environment in the process of their evolution. However, with the frequent occurrence of harsh weather in recent years, the livability of traditional villages is also facing challenges. In order to improve the climatic adaptability of traditional villages, scholars have proposed many methods, but there is a lack of research on the spatial microclimate adaptation of traditional villages based on the perspective of spatial accessibility. This paper selects typical traditional villages in the Taihu Lake Basin, analyzes spatial accessibility and CFD numerical simulation comfort by spatial syntax from the two levels of village and iconic nodes, and discusses the correlation between spatial accessibility and climate comfort. Also, the study concludes the following: (1) The overall integration degree of Mingyuewan Village is not high, and the overall accessibility is poor. (2) The correlation between wind environment and spatial accessibility is weak. The thermal environment is associated with spatial accessibility. Comfort is strongly correlated with the degree of spatial accessibility. This paper proposes to consider the lake surface to dominate the seasonal wind, reserve windward outlets, and add green plants and shade facilities in green public open spaces.

Understanding the Characteristics of Vertical Structures for Wind Speed Observations via Wind-LIDAR on Jeju Island

Wind observations at multiple levels (40–200 m) have been conducted over a five-year time period (2016–2020) on Jeju Island of South Korea. This study aims to understand the vertical and temporal characteristics of the lower atmosphere. Jeju Island is a region located at mid-latitude and is affected by seasonal wind. The maximum wind speed occurs in the relatively lower altitudes during daytime and is delayed in the relatively higher altitude after sunset in a diurnal cycle. In the summer season, the altitudes appear earlier than in other seasons via the dominant solar radiation effect during daytime, and the altitude after sunset increases up to 160 m. However, the maximum wind speed in the winter season occurs irregularly among altitudes, and it is lower than that in the summer season. This can be attributed to the increase in the mean wind speed in the diurnal cycle caused by the strong northwestern wind in the winter season. These results imply that the relationship between near-surface and higher altitudes is primarily affected by solar radiation and seasonal winds. These results are expected to contribute to site selection criteria for wind farms.

PEMETAAN PHYLUM ECHINODERMATA (KELAS ASTEROIDEA) DI ZONA LITORAL PANTAI PASIR PUTIH SITUBONDO

Class Asteroidea is a member of the phylum Echinodermata Asteroidea with high diversity, diversity will be found the similarities and differences that can be used as a key identification and classification. Pasir putih Situbondo beach has many invertebrate animals, particularly Asteroidea class that can be used to research about their abundance. The problems that arise are animals Echinodermata (classes Asteroidea ) What are some which can be found on the shore of Pasir Putih Situbondo beach can be used as a source data about their abundance. The results showed that the white sand beach Situbondo is found one type of the class Asteroidea namely Linckia laevigata acquisition this study of transects 1 to 15 only one transect contained starfish is on transect 14 wherein the transects , measuring 100 m sea littoral zone. Reason discovery of starfish on the shore of Pasir Putih Situbondo beach slightly due to limited types of starfish Asteroidea because in this month is going east wind season so that the starfish is hard to find.

Long-Term Change and Analysis of the Sedimentary Environment of Dadae Beach Using Unmanned Aerial Vehicles

Dadae Beach, located at the Nakdong river estuary, has been continuously evolving over the years, and this is the result of complex interactions between natural and artificial factors. In particular, in the case of Dadae Beach, located at the estuary of the Nakdong river estuary, it is located at the boundary between the river and the ocean, and it is an environment in which various deposition mechanisms operate. It is a very difficult research task to analyze the beach evolution mechanism, and a long-term study using precise measurement methods is required. Therefore, in this study, precision unmanned aerial surveys were conducted three times (2015, 2019, and 2021) for 5 years to identify the sedimentary characteristics of Dadae Beach, and the sedimentary environment was analyzed through the analysis of surface sediment texture characteristics. Seasonal waves and winds caused by the East Asian monsoon climate are the main mechanisms for the sedimentation of Dadae Beach, and finegrained sediments are distributed throughout the beach. In addition, the formation of sandbar, which arose rapidly due to artificial influences such as the construction of estuary banks in the past, is a major factor in the evolution of large-scale beaches. This study is meaningful in identifying the mechanism of beach evolution and presenting quantitative analysis results through comparison of precision aerial survey data over a long period of time.

How Does Wind Influence Near-Nadir and Low-Incidence Ka-Band Radar Backscatter and Coherence from Small Inland Water Bodies?

While many studies have been conducted regarding wind-driven Ka-band scattering on the ocean and sea surfaces, few have identified the impacts of Ka-band scattering on small inland water bodies, and fewer have identified the influence of wind on coherence over water. These previous studies have been limited in spatial scale, covering only large water bodies >25 km2. The recently launched Surface Water and Ocean Topography (SWOT) mission is the first Ka-band InSAR satellite designed for mapping water surface elevations and open water areas for rivers as narrow as 100 m and lakes as small as 0.0625 km2. Because measurements of these types are novel, there remains some uncertainty about expected backscatter amplitudes given wind-driven water surface roughness variability. A previous study using the airborne complement to SWOT, AirSWOT, found that low backscatter and low coherence values were indicative of higher errors in the water surface elevation products, recommending minimum thresholds for backscatter and coherence for filtering the data to increase the accuracy of averaged data for lakes and rivers. We determined that the global average wind speed over lakes is 4 m/s, and after comparing AirSWOT backscatter and coherence data with ERA-5 wind speeds, we found that the minimum required speed to retrieve high backscatter and coherence is 3 m/s. We examined 11,072 lakes across Canada and Alaska, with sizes ranging from 350 m2 to 156 km2, significantly smaller than what could be measured with previous Ka-band instruments in orbit. We found that small lakes (0.0625–0.25 km2) have significantly lower backscatter (3–5 dB) and 0.20–0.25 lower coherence than larger lakes (>1 km2). These results suggest that approximately 75% of SWOT observable lake areas around the globe will have consistently high-accuracy water surface elevations, though seasonal wind variability should remain an important consideration. Despite very small lakes presenting lower average backscatter and coherence, this study asserts that SWOT will be able to accurately resolve the water surface elevations and water surface extents for significantly smaller water bodies than have been previously recorded from satellite altimeters. This study additionally lays the foundation for future high-resolution inland water wind speed studies using SWOT data, when the data become available, as the relationships between wind speed and Ka-band backscatter reflect those of traditional scatterometers designed for oceanic studies.

Wind wave and water level dataset for Hornsund, Svalbard (2013–2021)

Abstract. Underwater pressure sensors were deployed near-continuously at various locations of the nearshore (8–23 m depth) Hornsund fjord, Svalbard, between July 2013 and February 2021. Raw pressure measurements at 1 Hz were used to derive mean water levels, wave spectra and bulk wave parameters for 1024 s bursts at hourly intervals. The procedure included subtracting atmospheric pressure, depth calculation, fast Fourier transform, correction for the decrease of the wave orbital motion with depth and adding a high-frequency tail. The dataset adds to the sparse in situ measurements of wind waves and water levels in the Arctic, and it can be used, for example, for analysing seasonal wind wave conditions and inter-annual trends and calibrating/validating wave models. The dataset is stored in the PANGAEA repository (https://doi.org/10.1594/PANGAEA.954020; Swirad et al., 2023).

Health consequences of small-scale industrial pollution: Evidence from the brick sector in Bangladesh

Coal-fired brick kilns have spread rapidly in Bangladesh, where they are one of the largest sources of air pollution. The adverse health impacts of air pollution have been widely documented, yet there is little empirical evidence on the externalities of this important industry. We conducted a field study in Bangladesh to quantify the contribution of brick kilns to fine particulate matter (PM2.5) and estimate the association with child asthma symptoms, chronic obstructive pulmonary disease (COPD), and general respiratory symptoms. We exploit variation in the timing of brick production, seasonal wind direction, and household proximity to kilns to isolate the effects of brick manufacturing from other sources of air pollution. We find that PM2.5 is 72.3 μg/m3 (95% CI: 10.2, 134.3) higher in areas 2 km downwind from a brick kiln during the brick production season. We also find 2.2 (95% CI: 1.2, 4.3) greater odds of COPD symptoms among adults over 40 and 4.2 (95% CI: 2.7, 6.8) greater odds of respiratory symptoms among adults over 18. Among children under 5, we found greater odds of respiratory symptoms (2.1, 95% CI: 0.7, 6.0) and asthma symptoms (2.5, 95% CI: 0.1, 96.1), but the results were underpowered for the smaller sample of children. Our findings suggest that existing regulations, which require that kilns be at least 1–2 km from residential areas, schools, and health facilities, are inadequate to protect nearby communities from the substantial health burden brick manufacturing imposes.