Article
Chemistry, Multidisciplinary
Yi Li, Guangfu Wu, Gyuho Song, Shao-Hao Lu, Zizheng Wang, He Sun, Yi Zhang, Xueju Wang
Summary: This paper introduces a soft, pressure-tolerant, and flexible electronic sensor that can operate under high hydrostatic pressure and salinity environments without the need for pressure chambers. The sensors show excellent performance in resistive temperature and conductivity measurements, with negligible effect from pressure. Encapsulated with a developed soft oil-infused elastomer, the sensor demonstrates long-term stability in a high salinity water environment.
Article
Engineering, Electrical & Electronic
Li-Hui Zhang, Jing Wang, Ji-Chao Liu, Jun-Cheng Zhang, Yun-Fei Hou, Shan-Shan Wang
Summary: Encapsulation of MMZI sensor for temperature and salinity sensing in seawater was developed using a C-shape metal tube and polymer adhesive, resulting in improved robustness and relatively fast response. Evaluation of different polymer adhesives showed enhancements in stability and response time of the sensor after encapsulation.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Hong-Kun Zheng, Yong Zhao, Ri-Qing Lv, Zi-Ting Lin, Xi-Xin Wang, Yi-Fan Zhou, Shi-Zhe Chen
Summary: A reflective optical fiber sensor composed of two Fabry Perot cavities is proposed for temperature and salinity measurement in this study. By applying frequency division multiplexing (FDM) technique and cavity length demodulation technology, the sensor can achieve salinity measurement in the full measurement range, with a sensitivity of better than 50 nm/parts per thousand for salinity and 6.85 nm/degrees C for temperature. The sensor shows promise for salinity measurement application due to its low cost, easy fabrication, and long sensing distance.
IEEE SENSORS JOURNAL
(2021)
Article
Materials Science, Multidisciplinary
Xianchao Yang, Zhan Wang, Yuhuai Liu, Jianquan Yao
Summary: This study presents a SPR sensor based on exposed core micro-structured optical fiber for temperature self-compensated salinity detection, achieving dual-parameter demodulation with high sensitivity and temperature compensation effect.
OPTICAL MATERIALS EXPRESS
(2021)
Article
Engineering, Electrical & Electronic
Ziting Lin, Riqing Lv, Yong Zhao, Jian Zhao, Xuguang Hu, Ruijie Liu
Summary: In this article, a simple integrated interferometer with an open cavity is analyzed and verified for salinity and temperature measurement. The interferometer consists of a sensing probe and maintains high sensitivity in salinity measurement. It can also obtain simultaneous spectrums of two interferometers, solving the problem of cross-sensitivity. The proposed sensing probe has advantages in size, sensitivity, and multiparameter sensing.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Lina Wang, Youfu Geng, Xuejin Li, Duo Yi, Zhifeng Tong, Tingting Duan, Shaolan Chen, Xueming Hong
Summary: A high-resolution salinity sensor based on a self-referenced parallel Fabry-Perot fiber microcavity is proposed. The sensor utilizes a specially designed fiber structure and differential phase-demodulation technology to achieve enhanced stability and accuracy. It demonstrates high salinity-phase sensitivity, low salinity and refractive index resolutions, making it suitable for harsh environmental monitoring and biochemical analysis.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Junyi Guo, Mengya Sun, Jinhui Fang, Guangqing Wei, Bin Shi, Hongtao Jiang
Summary: Seawater salinity is a crucial parameter for understanding the ocean's hydrological information. Cladding etched fiber Bragg grating (CE-FBG) technology has shown promise in salinity sensing due to its sensitivity to refractive index. In this study, different CE-FBG salinity sensing elements were fabricated using wet chemical etching. The CE-FBG sensor, integrated with a bare FBG (B-FBG), exhibited accurate and consistent measurements of seawater salinity and temperature, indicating the potential of fiber optic sensors for salinity measurement. The study highlights the high sensitivity, long-term stability, and quasi-distributed monitoring capabilities of the CE-FBG salinity sensor.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Haolin Zhang, Jinwen Zhang, Xiaotong Yang, Hongchao Zhang, Jiuru Yang
Summary: In this article, a fiber-optic microcavity Mach-Zehnder interferometer based on the tapered multimode-hollow-core-multimode fiber structure is proposed and experimentally demonstrated for high-precision salinity sensing. The sensor shows obvious intensity modulation with the varied refractive index of liquid, achieving a high sensitivity of 796 dB/RIU and a salinity sensitivity of 0.154 dB/%(o) in the range from 0%(o) to 11%(o). Additionally, the sensor has low-temperature crosstalk and high stability, with a real limit of detection within 0.1%(o).
IEEE SENSORS JOURNAL
(2023)
Article
Agriculture, Multidisciplinary
Guojie Ruan, Xinyu Li, Fei Yuan, Davide Cammarano, Syed Tahir Ata-UI-Karim, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao
Summary: Accurate and timely prediction of wheat yield is crucial for global food security. This study developed a field-scale wheat yield prediction model by integrating proximal sensing and weather data. The ensemble learning models achieved the best overall performance, with features such as the Normalized Difference Red Edge Index, average temperature, and humidity contributing significantly to the prediction.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Engineering, Electrical & Electronic
Yong Zhao, Jian Zhao, Yun Peng, Rui-Jie Tong, Lu Cai
Summary: This article proposes and demonstrates a simultaneous seawater salinity and temperature measurement sensor using a Fabry-Perot interferometer and Mach-Zehnder interferometer composite fiber-optic structure. The experimental results show that the sensor has good measurement performance and potential.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Chao Du, Qiuyu Wang, Liqin Cui, Bin Jia, Zhuoke Qin, Li Zhang, Xiao Deng
Summary: In this study, a seawater salinity sensor based on dual resonance peaks long-period fiber grating (LPFG) and back propagation neural network (BPNN) was proposed. The LPFG was designed and fabricated to have a refractive index sensitivity in the range of 1.33156-1.39947. The sensor was tested under different salinity and temperature conditions, and BPNN was used for temperature compensation and salinity prediction. BPNN-based genetic algorithm optimization significantly improved the prediction accuracy.
IEEE SENSORS JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Sanaz Zare, Ali Abtahi, Seyed Rashid Fallah Shamsi, Philippe Lagacherie
Summary: This study fills the gap in comparing and developing methods for integrating new sources of soil data for DSM by mapping electrical conductivities using real measurements and EM38MK2 measurements. The results show the utility of EM38MK2 data as surrogate input data for mapping soil salinity, with regression co-kriging identified as the best integration method. The impact of EM38MK2 data on performance gains increases as the sizes of real soil salinity measurements decrease, indicating a promising way to tackle constraints of DSM in areas where soil sensing as alternative data is accessible.
Review
Agronomy
Marko Reljic, Marija Romic, Davor Romic, Gordon Gilja, Vedran Mornar, Gabrijel Ondrasek, Marina Bubalo Kovacic, Monika Zovko
Summary: The greatest environmental problem facing the world today is climate change, with a rise in sea level being one of the most important consequences, especially in low-lying coastal areas, such as river deltas where changes are exacerbated by human impacts, leading to increased seawater intrusion into coastal aquifers and the degradation of water quality.
Article
Physics, Applied
Sameeha R. Qutb, Arafa H. Aly, Walied Sabra
Summary: This work demonstrates a sensing principle using a 1D defective photonic crystal structure to simultaneously detect the salinity and temperature of seawater. By adjusting the design parameters, the optical properties response can be investigated to achieve peak wavelength shift in the output transmission spectrum.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2021)
Article
Agriculture, Multidisciplinary
Ben Jolly, Jiafa Luo, Promil Mehra, Patrick Forrestal, Macdara O'Neill, Karl G. Richards, Bhupinder Pal Singh, Geoff Bates, Surinder Saggar
Summary: Animal urine patches, especially from cattle, are a major source of nitrogen losses in pastoral systems. Mitigating these losses by applying nitrogen inhibitors to patches can be effective, and a newly developed instrument called 'Spikey-R' was validated for detecting and mapping these urine patches. Results showed that Spikey-R data generally matched well with thermal imagery, and a drone successfully detected most urine patches 14 days after application, revealing a larger pasture response than the initial wetted area.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Plant Sciences
Said M. El-Bialy, Mohammed E. El-Mahrouk, Taha Elesawy, Alaa El-Dein Omara, Fathy Elbehiry, Hassan El-Ramady, Beni Aron, Jozsef Prokisch, Eric C. Brevik, Svein O. Solberg
Summary: The application of biological nanofertilizers can promote the growth and development of strawberry seedlings, and improve their nutritional status.
Article
Geosciences, Multidisciplinary
Magboul M. Sulieman, Abdelazeem Sh. Sallam, Abdullah S. Al-Farraj, Eric C. Brevik
Summary: This study investigates the impact of different paleoclimates on soil development and evolution in Harrat Ithnayn volcano, Saudi Arabia. The results indicate that the targeted soils were formed under subhumid paleoclimate and are classified as vitric Andisols, with evidence of high pedogenic Fe and the predominance of certain minerals. The accumulation of secondary salts and carbonates is attributed to the influence of residual primary minerals and current arid conditions. Soil processes involved andisolization, salinization, and calcification, revealing the formation under multiple climates.
Article
Environmental Sciences
Amanda Jo Zimmerman, Danira Garcia Gutierrez, Negar Shaghaghi, Aakriti Sharma, Amrika Deonarine, Gautier Landrot, David C. Weindorf, Matthew G. Siebecker
Summary: This study systematically investigates the mobility of arsenic-enriched titanium dioxide water treatment residuals (TiO2 WTRs), and finds that a significant portion of arsenic can be extracted when exposed to phosphate solutions. Macroscopic desorption experiments and X-ray absorption spectroscopy (XAS) confirm the formation of inner-sphere bonds between arsenic and TiO2 particles. Additionally, incubation experiments reveal the reduction of arsenic(V) to arsenic(III) in solution. The high mobility of arsenic and the potential for reduction present important risks, particularly in agriculturally important areas where waste products are not properly managed.
ENVIRONMENTAL POLLUTION
(2023)
Article
Soil Science
Shubhadip Dasgupta, Santonu Debnath, Ayan Das, Asim Biswas, David C. Weindorf, Bin Li, Arvind Kumar Shukla, Shreya Das, Sushanta Saha, Somsubhra Chakraborty
Summary: This study produced digital soil maps of available Zn, Cu, Fe, and Mn using soil samples from the Indo-Gangetic Plain of India, and compared the prediction accuracy of 14 machine learning approaches. A hybrid ensemble model was found to outperform all other models and was used to produce micronutrient maps. The study also explored the relationship between soil micronutrient concentration and grain micronutrient concentration, and developed models to predict grain Zn and Fe content based on soil concentrations.
Review
Soil Science
Thomas J. Sauer, Ken M. Wacha, Eric C. Brevik, Diomy Zamora
Summary: The study assesses the effects of Eastern red cedar (ERC) plantings on carbon sequestration and soil quality. The findings show that soil under ERC plantings has higher SOC content in the US Great Plains. Planting ERC for carbon sequestration or bioenergy production is unlikely to significantly degrade soil quality.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2023)
Article
Plant Sciences
Sudipa Mal, Dibyendu Sarkar, Biswapati Mandal, Piu Basak, Ritesh Kundu, Deblina Ghosh, Joy Dutta, Shovik Deb, Feroze H. Rahman
Summary: This study aimed to establish critical limits of boron (B) in soils and leaves of tomato crops. The experiment analyzed soil and tomato leaf samples from 94 fields and found that hot-calcium chloride (HCC) was the most effective extractant for B assessment. The study provided insights into addressing B deficiency in tomato cultivation.
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
(2023)
Article
Green & Sustainable Science & Technology
Mohammed E. El-Mahrouk, Yaser H. Dewir, Yaser M. Hafez, Antar El-Banna, Farahat S. Moghanm, Hassan El-Ramady, Qaisar Mahmood, Fathy Elbehiry, Eric C. Brevik
Summary: This study investigates the aquatic environmental characteristics and heavy metal accumulation in seaweed, sediments, and waters of seven eutrophicated locations in Alexandria, Egypt. The results indicate moderate to high contamination in most locations, with certain seaweed species showing a high accumulation of trace elements. Further research on the ecotoxicology of these seaweed species is necessary for their potential use in the human diet and other applications.
Review
Agronomy
Hassan El-Ramady, Neama Abdalla, Daniella Sari, Aya Ferroudj, Arjun Muthu, Jozsef Prokisch, Zakaria F. Fawzy, Eric C. Brevik, Svein O. Solberg
Summary: The agricultural sector is crucial for human well-being, and nanotechnology has successfully addressed challenges faced by different farming systems. Nanotechnology applications in agriculture include nanofertilizers, nanopesticides, nanosensors, nanobiotechnology, and nanoremediation. This study focuses on the application of nano-farming technologies to various farming systems and emphasizes the importance of sustainable development and the one health approach. Nanofarming presents both benefits and challenges, and the exact balance between them requires further investigation.
Article
Soil Science
Sara Sadeghi, Billi Jean Petermann, Joshua J. Steffan, Eric C. Brevik, Csongor Gedeon
Summary: Microbial abundance and community structure can be altered by soil physical and chemical characteristics influenced by land use management. This study used a cubist model to predict soil microbial communities based on soil properties and found that different soil properties can be useful in predicting soil microorganisms.
APPLIED SOIL ECOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Luiza Maria Pereira Pierangeli, Sergio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, Mona-Liza C. Sirbescu, Joao Jose Marques, David C. Weindorf, Nilton Curi
Summary: This study aimed to predict the parent material (PM) of soils using proximal sensors and random forest algorithm. The predictive models were successfully created and validated for three different PMs in an experimental farm. The map built based on B horizon data showed better accuracy compared to the one built from A horizon samples.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2023)
Article
Chemistry, Analytical
V. Lavanya, Anshuman Nayak, Shubhadip Dasgupta, Saroj Urkude, Subhadip Dey, Asim Biswas, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: This research introduces a smartphone-integrated imaging device that can detect nitrate (NO3-) and phosphate (PO43-) in soil and water samples. The device uses a low-cost smartphone with a digital camera to capture color photographs of the test solutions. It utilizes standard colorimetric methods to quantify the concentrations of NO3- and PO43- in soil and water samples. The results obtained from the device are comparable to laboratory-grade spectrophotometer data, and it offers a portable solution for measuring these concentrations without the need for expensive equipment.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Analytical
Veerabhadrappa Lavanya, Anshuman Nayak, Partha Deb Roy, Shubhadip Dasgupta, Subhadip Dey, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: A novel chromotropic acid-based color development method was proposed for quick estimation of soil nitrate (NO3-) in this study. By analyzing the mean Value (V) component of the sample's image, a 3D printed device integrated with the rear-end camera of a smartphone and a stand-alone application called SMART NP provided instant predictions of soil NO3- levels. The device exhibited good reliability with a % bias of 0.9% and a precision of 1.95%.
Article
Agronomy
H. R. Ragini, Manoj Kanti Debnath, Deb Sankar Gupta, Shovik Deb, S. Ajith
Summary: This study used remote sensing and geographic information systems to analyze land use and land cover changes in Cooch Behar District, West Bengal, India. The results showed that there was a continuous decrease in natural vegetation from 2001 to 2021, while agricultural land and built-up area showed an increasing trend. The model predicted that there might be slight changes in the area of other land classes in the future.
AGRICULTURAL RESEARCH
(2023)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)
