Nutrient pollution of waterbodies is a major worldwide water quality problem. Excessive use and discharge of nutrients can lead to eutrophication and algal blooms in fresh and marine waters, resulting in environmental problems associated with hypoxia, public health issues related to the release of toxins and freshwater scarcity. A promising option to address this problem is the recovery of nutrient releases prior to being discharged into the environment. Driven by the sustainable materials management concept, the COW2NUTRIENT (Cattle Organic Waste to NUTRIent and ENergy Technologies) framework is developed for the techno-economic evaluation and selection of nutrient recovery systems at livestock facilities. Environmental vulnerability to nutrient pollution determined through a geographic information system (GIS)-based model and techno-economic information of different state-of-the-art nutrient management technologies are combined in a multi-criteria decision analysis (MCDA) model, resulting in the selection and economic analysis of the most suitable process for each studied livestock facility. This framework has been employed for studying the implementation of sustainable phosphorus management systems at 2,217 livestock facilities in the Great Lakes area, resulting in capital expenses of 2.5 billion USD if only phosphorus recovery technologies are installed, and up to 5.2 billion USD if nutrient management is combined with biogas and power production. However, considering potential economic incentives for the recovery of phosphorus, net revenues up to 230 million USD per year can be achieved. Therefore, the framework presented reveals the potential of implementing nutrient management systems at regional scale for the abatement of phosphorus releases from livestock facilities.
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http://dx.doi.org/10.1016/j.resconrec.2021.105843 | DOI Listing |
Huan Jing Ke Xue
January 2025
College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
The construction of "zero-free cities" is an effective plan to achieve the carbon peak plan, reduce pollution and carbon emissions, and promote a circular economy. Based on the WARM model and Emission factor method, the total carbon emission reduction of solid waste sources and disposal in each field during the implementation of the zero-free city policy in Chongqing (2017-2021) was calculated, and the total carbon emission reduction of solid waste in each field in 2025 was predicted by scenario. The results showed that: ① After the implementation of cleaner production and green manufacturing policies in Chongqing, the generation intensity of general industrial solid waste decreased to 0.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Agricultural Bioinformatics Key Laboratory of Hubei Province, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China.
Advances in three-dimensional (3D) genomics have revealed the spatial characteristics of chromatin interactions in gene expression regulation, which is crucial for understanding molecular mechanisms in biological processes. High-throughput technologies like ChIA-PET, Hi-C, and their derivatives methods have greatly enhanced our knowledge of 3D chromatin architecture. However, the chromatin interaction mechanisms remain largely unexplored.
View Article and Find Full Text PDFBackground: Tuberculosis program effectiveness is majorly measured by disease severity and treatment response without integrating patient perspectives. Yet, it's a critical dimension in clinical decision-making that enhances health worker-patient interactions and increases individuals' sustained engagement with treatment, thereby benefiting the people affected and the wider public by mitigating the infection risk. This study assessed the lived experiences of persons affected by tuberculosis who were on treatment in Nairobi County, Kenya.
View Article and Find Full Text PDFAnimals (Basel)
November 2024
College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Sheep facial expressions are valuable indicators of their pain levels, playing a critical role in monitoring their health and welfare. In response to challenges such as missed detections, false positives, and low recognition accuracy in sheep facial expression recognition, this paper introduces an enhanced algorithm based on YOLOv8n, referred to as SimAM-MobileViTAttention-EfficiCIoU-AA2_SPPF-YOLOv8n (SMEA-YOLOv8n). Firstly, the proposed method integrates the parameter-free Similarity-Aware Attention Mechanism (SimAM) and MobileViTAttention modules into the CSP Bottleneck with 2 Convolutions(C2f) module of the neck network, aiming to enhance the model's feature representation and fusion capabilities in complex environments while mitigating the interference of irrelevant background features.
View Article and Find Full Text PDFIntroduction: Rift Valley Fever (RVF) has caused outbreaks in Africa, impacting human health and animal trade. Recently, sporadic detections among humans and animals in East Africa have replaced large-scale outbreaks. We assessed RVF knowledge levels in East and Central Africa across countries with different epidemiological profiles.
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