Article
Engineering, Environmental
Hui Li, Yuhan Liang, Qionghong Chen, Sai Liang, Jetashree, Zhifeng Yang
Summary: Existing studies on virtual scarce water flows within the water-energy context have mainly focused on water quantity, neglecting water quality. This study improves the quantification method by considering both blue water (quantity) and grey water (quality). The results show that considering water quality provides new insights into the patterns of interregional flows of virtual scarce water driven by energy demand. The virtual integrated scarce water (VISW) flows, considering both quantity and quality, are 5 times larger than the volume of virtual quantity-based scarce water (VQSW) flows.
Article
Green & Sustainable Science & Technology
Yuhan Liang, Sai Liang, Ke Li, Jianchuan Qi, Cuiyang Feng, Lixiao Xu, Zhifeng Yang
Summary: Identifying the critical socioeconomic drivers of food-related scarce water uses at the provincial level is important for policy formulation. This study used input-output analysis to explore the determinants for changing food-related scarce water uses in Chinese regions. The results showed that reducing water intensity in certain regions and improving production structures are key factors, while reducing excessive food consumption in developed coastal regions can effectively reduce national water scarcity. Interprovincial trade and cooperation are essential for sustainable food and water resource management in China.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Agronomy
Nabil Beithou, Ahmed Qandil, Mohammad Bani Khalid, Jelena Horvatinec, Gabrijel Ondrasek
Summary: Food security is crucial for human survival and civilization. Jordan, facing water scarcity and lack of fertile soils, is at risk of food insecurity and price fluctuations due to shortage of drinking water and irrigation water. This study aims to provide support for sustainable planning in Jordan's agri-food sector by analyzing national databases.
Article
Green & Sustainable Science & Technology
Huseyin Gokcekus, Farhad Bolouri
Summary: Approximately 40% of the world's population lives in transboundary river and lake basins, which account for 60% of global freshwater flow. With the decrease in global water resources, disputes over transboundary waters have increased. This research investigates the most important transboundary water problems and suggests solutions based on successful experiences and regional conditions.
Article
Computer Science, Interdisciplinary Applications
F. Benra, A. De Frutos, Mattias Gaglio, C. Alvarez-Garreton, M. Felipe-Lucia, A. Bonn
Summary: This study evaluated the performance of the SWYM model in predicting water yield in 224 catchments in southern Chile, showing relatively low monthly correlations but good match between annual estimates and observed values, particularly in regions with high rainfall and in dry years. Predictions varied across regions and years, with improvements in SWYM performance observed.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
David von Eiff, Joonho Yeo, Alicia Kyoungjin An, Shauhrat S. Chopra
Summary: Increasing urbanization and climate change stress urban water supply systems. Alternative water supply sources like desalination and water reclamation are energy intensive and costly, but a fit-for-purpose water policy using water reclamation can mitigate emissions and lower water prices.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Chemical
Andrew Caratenuto, Lijia Xie, Lin Gu, Yanpei Tian, Xiaojie Liu, Changyu Wang, Ming Su, Yi Zheng
Summary: A high-efficiency solar evaporation device made of soil has been proposed to address the global water crisis. This device exhibits excellent water absorption properties and efficient evaporation conversion, making it capable of rapidly converting salt water into fresh water.
Article
Green & Sustainable Science & Technology
Abubakar Sadiq Isah, Husna Bint Takaijudin, Balbir Singh Mahinder Singh, Umar Alfa Abubakar, Shamsuddeen Jumande Mohammad, Tijani Oladoyin Abimbola
Summary: This study provides a comprehensive analysis of solar desalination systems, including distillate quality, cost estimation, efficiency, and performance comparison. The results show that incorporating a pretreatment system can improve the distillate quantity and quality of solar desalination systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agronomy
Jose Antonio Martinez-Lopez, Ramon Lopez-Urrea, Angel Martinez-Romero, Jose Jesus Pardo, Jesus Montero, Alfonso Dominguez
Summary: Scarcity of water resources in arid and semi-arid areas poses a major constraint on agricultural activity. The SUPROMED project offers an online platform that combines models and methodologies for more efficient management of water, energy, and fertilizers. Trials conducted in Spain showed that SUPROMED can improve farm profitability and reduce environmental impact by optimizing irrigation water use. The results indicate that SUPROMED's tools and models are user-friendly and can enhance the economic and environmental sustainability of Mediterranean agroecosystems.
Article
Environmental Sciences
Holger Virro, Alexander Kmoch, Marko Vainu, Evelyn Uuemaa
Summary: Water quality modeling is essential for effective mitigation efforts, and recent advancements in machine learning methods have shown promising results in predicting nutrient concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Hassaan Furqan Khan, Muhammad Ali Arif, Sara Intikhab, Syed Ali Arshad
Summary: Water system investments in South Asia's megacities are often driven by a perceived shortage of water supply compared to demand. However, water demand estimates for these cities often fail to consider local socioeconomic and demographic characteristics and seasonal variability. This study in Karachi's low-income, water-scarce township of Lyari uses a mixed-methods approach to quantify household water use and its determinants, and assesses the seasonality of piped water access. Results from over 600 household surveys show that reported per capita water usage is lower than assumed demand, and varies by gender, season, and economic status. Affluent households are able to purchase water security and maintain higher use even in extreme scarcity. Perceived sufficiency of water supply improves in winter without an increase in supply, indicating reduced demand. These findings can improve water demand projections and emphasize the importance of considering local socioeconomic and environmental contexts.
Article
Agronomy
Mohammed Khalid Mohammed, Khidhir Abbas Hameed, Abdulkadhim Jawad Musa
Summary: This study evaluates different irrigation regimes in southern Iraq and finds that three-day intervals with SRI methods achieve the highest economic and agronomic returns, indicating that continuous irrigation is wasteful and ineffective. The study also shows that seven-day intervals with SRI methods can save significant amounts of water and increase rice production.
Article
Environmental Sciences
Xiawei Liao, Lei Huang, Siqin Xiong, Xiaoming Ma
Summary: The study reveals that in 2030, the water policy has the largest impact on the electric power sector in the North China Grid, while China's current carbon reduction commitments have minimal impact. Strengthening carbon emission and water consumption constraints can achieve dual benefits but will increase the unit electricity cost.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agronomy
Francisco Montoya, Juan M. Sanchez, Jose Gonzalez-Piqueras, Ramon Lopez-Urrea
Summary: A study was conducted to investigate the effect of two drip irrigation systems on almond crop growth. The results showed that the subsurface drip irrigation (SDI) system is a suitable strategy for irrigating almond crops, reducing water consumption and increasing irrigation water productivity.
Article
Water Resources
Katie E. Schneider, Terri S. Hogue
Summary: This study focuses on Alaska and hydrologically connected portions of Canada. Due to the rugged terrain and harsh conditions, observational hydroclimatic data, especially runoff data, are limited in most areas of Alaska. The researchers develop a calibration framework for a water budget model using a combination of reanalysis and remote sensing data. The model shows better performance in the moderate to dry areas of Alaska without glaciation and continuous permafrost. The simulated runoff trends in recent decades indicate increased runoff at lower latitudes and slightly decreased runoff at higher latitudes within the Alaskan domain. This study highlights the viability of using non-runoff data for model calibration in cold regions and emphasizes the importance of improving the characterization of hydroclimatic data for modeling studies.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Green & Sustainable Science & Technology
Siyuan Fan, Xiao Wang, Zun Wang, Bo Sun, Zhenhai Zhang, Shengxian Cao, Bo Zhao, Yu Wang
Summary: This paper proposes a novel image enhancement algorithm to evaluate the dust accumulation on PV panels. By analyzing the differences in image characteristics, a relationship model between the model coefficient and dust level is established. The experimental results show that the method has high accuracy and is suitable for intelligent cleaning of PV panels.
Article
Computer Science, Artificial Intelligence
Siyuan Fan, Mingyue He, Zhenhai Zhang
Summary: This paper establishes a daily dust accumulation prediction model for PV panels using the delay output echo state network (DESN), and proposes a pigeon-inspired optimization (PIO) algorithm with adaptive Cauchy (AC) mutation strategy to optimize the reservoir parameters of DESN, improving the prediction accuracy. The study finds the correlation between environmental parameters and dust accumulation, and demonstrates the robustness of the proposed model for 10-day samples.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Zun Wang, Yashun Wang, Shenglei Cao, Siyuan Fan, Yanhui Zhang, Yuning Liu
Summary: A robust spatial-temporal prediction model for PV power generation is proposed in this paper, based on a denoising autoencoder (DAE) combining Gramian angular summation fields (GASF) and convolutional neural network (CNN). The model improves the accuracy and efficiency of predictions by downsizing and modeling power data using Pearson correlation, as well as encoding the model training data with noise reduction. Experimental results show that the proposed model performs well even with different degrees of data contamination, with an average mean square error (MSE) of 71.58 and mean absolute error (MAE) of 4.26 and 3.96 for China and the USA PV power generation datasets, respectively.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Shengxian Cao, Songda Shen, Siyuan Fan, Xiao Wang, Zhiqiang Zhu, Yancai Shi, Junwei Lou
Summary: A novel detection method for valve damage of nuclear power using attention-based U-Net (ABUNet) is proposed. The method incorporates an attention mechanism and damage information extraction to improve accuracy and speed. The results show that ABUNet outperforms other segmentation approaches in terms of accuracy, and the network with a depth of 5 is the best choice for detection results.
IEEE SENSORS JOURNAL
(2023)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.