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Topic Review
Sustainability Human Factors
Sustainability is the result of a complex combination of factors. Social, cultural and personal elements are key for the pursuit of a sustainable future. Beyond the existing, very broad program on sustainability studies, additional research should contribute to specify how those social and human factors affect sustainability indices. General beliefs, values, attitudes, habits, assumed lifestyles or even meaning systems projecting purpose on one’s own life have an impact on sustainability as well. Our aim in this paper is to describe these factors, which we group under the label of ‘sustainability human factors’. This task requires a multidisciplinary effort involving anthropology, psychology and social sciences, covering cognitive, emotional or cultural dimensions. First, we set the stage describing the expected network of features and traits that could describe the human factor. Second, we propose a model which can help to assess it through multiple scales and surveying instruments. These instruments can provide valuable data that could expand the current indices. It is important to connect our program with the ongoing research in this field and to develop a broad model that highlights the human factor and its central role when planning for a sustainable future.
  • 1.5K
  • 02 Nov 2021
Topic Review
Sustainability Goals within the UK Water Industry
The UK water industry is subject to a rolling cycle of investment to meet regulatory requirements. Moreover, this sits within the context of a constant state of flux due to the changing climate and political and societal priorities. Therefore, interventions such as improved wastewater treatment (to reduce nutrient levels entering rivers) are likely to experience conditions over the asset life, which vary widely from design parameters. This leads to a cycle of modification and upgrading in order to maintain or improve treatment processes which could include abortive investment.
  • 593
  • 05 May 2022
Topic Review
Surface-Water Quality Monitoring
The monitoring of surface-water quality followed by water-quality modeling and analysis are essential for generating effective strategies in surface-water-resource management. However, worldwide, particularly in developing countries, water-quality studies are limited due to the lack of a complete and reliable dataset of surface-water-quality variables.
  • 535
  • 06 Jul 2021
Topic Review
Surface Water under Growing Anthropogenic Loads
The increase in the fluxes of elements and compounds into the environment, such as the emission of greenhouse gases and dispersion of nutrients (nitrogen and phosphorus), acidifying gases, and toxic elements and compounds that adversely affect water quality, are considered. 
  • 348
  • 01 Dec 2022
Topic Review
Surface Seeding of Wheat
The surface seeding (SS) method was introduced to manage agro-ecosystems for sustaining productivity and increasing farmers’ profits, while sustaining the natural resources.
  • 323
  • 22 Aug 2023
Topic Review
Surface Acoustic Wave and Quartz Crystal Microbalance Devices
One of the emerging techniques of chemical warfare agents (CWA) detection is based on acoustic wave sensors, among which surface acoustic wave (SAW) devices and quartz crystal microbalances (QCM) are of particular importance. These devices allow for the construction of undemanding and affordable gas sensors whose selectivity, sensitivity, and other metrological parameters can be tailored by application of particular coating material.
  • 624
  • 11 Aug 2022
Topic Review
Supporting Insect Pollinators in Cities
Pollinators are responsible for the reproduction of many plant and crop species and provide important diversity for food webs and cultural value. Despite the critical ecosystem services provided by pollinators, rapid pollinator declines are occurring in response to anthropogenic activities that cause the loss of suitable habitat. There is an opportunity for urban green space to support pollination ecosystem services locally and across the landscape.
  • 239
  • 19 Jul 2023
Topic Review
Supervised Deep-Learning Models for Multispectral Change Detection
Remote sensing is a tool of interest for a large variety of applications. It is becoming increasingly more useful with the growing amount of available remote sensing data. The large amount of data also leads to a need for improved automated analysis. Deep learning is a natural candidate for solving this need. Change detection in remote sensing is a rapidly evolving area of interest that is relevant for a number of fields. There are a large number of publications and progress, even though the challenge is far from solved. Multispectral images are common in remote sensing and well suited for change detection purposes thanks to their good balance of spatial and spectral resolution, capturing important details. Various data sets for change detection have been openly published online and a growing number of models has been introduced in the literature, both supervised, unsupervised and semi-supervised. 
  • 320
  • 05 May 2023
Topic Review
Supercontinent Cycle
The supercontinent cycle is the quasi-periodic aggregation and dispersal of Earth's continental crust. There are varying opinions as to whether the amount of continental crust is increasing, decreasing, or staying about the same, but it is agreed that the Earth's crust is constantly being reconfigured. One complete supercontinent cycle is said to take 300 to 500 million years. Continental collision makes fewer and larger continents while rifting makes more and smaller continents.
  • 1.7K
  • 03 Nov 2022
Topic Review
Superadsorbents for Water/Wastewater Treatment
An adsorbent’s properties, its adsorption chemistry, and treatment efficiency are all interlinked for water/wastewater treatment. Adsorption has been recognized as a prominent strategy to treat contaminated aqueous systems. Researchers focuses on superadsorbents possessing ultrahigh adsorption capacities of ≥1000 mg g−1 for an efficient water/wastewater treatment. A variety of superadsorbents is reviewed regarding their preparation, characteristics, adsorption chemistries, and mechanistic interactions in the removal of aqueous inorganic and organic contaminants. 
  • 389
  • 08 Mar 2023
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