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Swain, S., Mishra, P. K., Nandi, S., Pradhan, B., Sahoo, S. & Al-Ansari, N. (2024). A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India. Applied water science, 14(2), Article ID 36.
Open this publication in new window or tab >>A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India
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2024 (English)In: Applied water science, ISSN 2190-5487, E-ISSN 2190-5495, Vol. 14, no 2, article id 36Article in journal (Refereed) Published
Abstract [en]

The commonly used precipitation-based drought indices typically rely on probability distribution functions that can be suitable when the data exhibit minimal discrepancies. However, in arid and semi-arid regions, the precipitation data often display significant discrepancies due to highly irregular rainfall patterns. Consequently, imposing any probability distributions on the data for drought analysis in such regions may not be effective. To address this issue, this study employs a novel drought index called the Discrepancy Precipitation Index (DPI), specifically designed for arid regions. Unlike traditional methods, the DPI does not impose a probability distribution on the precipitation data; instead, it relies on the discrepancy between the data and the mean value. Drought severity classifications (i.e., Drought-I, Drought-II, and Drought-III) are proposed based on the DPI values. The DPI is used to characterize and assess the meteorological drought years based on annual and monsoonal precipitation over nineteen districts in Western Rajasthan, India, during 1901–2019. Additionally, a novel statistic called Discrepancy Measure (DM) is employed to assess the degree of discrepancy in the precipitation climatology of the districts for annual and monsoon precipitation time series. Based on annual precipitation, Jaisalmer district exhibited the highest number of historical drought years (35), whereas three districts, i.e., Jhunjhunu, Dausa, and Bhilwara exhibited the lowest number of drought years (11). Similarly, based on monsoon precipitation, Jaisalmer and Bhilwara encountered the highest (34) and the lowest (11) number of drought years, respectively. The return period of Drought-II is lower for monsoon precipitation-based DPI as compared to that of the annual precipitation-based DPI for all the districts. The DM and DPI-based total number of droughts are found to be strongly correlated for both annual and monsoon precipitation. The DM value is highest for Jaisalmer and lowest for Bhilwara district. The findings reveal DPI as an efficient tool for assessing drought years, particularly in arid climatic conditions. Moreover, as the DM value increases for a precipitation series, the DPI becomes more effective in capturing drought events.

Place, publisher, year, edition, pages
Springer Nature, 2024
Keywords
Arid region, Discrepancy measure, Discrepancy precipitation index, Drought monitoring, Rajasthan
National Category
Other Earth and Related Environmental Sciences
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-104174 (URN)10.1007/s13201-023-02085-z (DOI)2-s2.0-85183348413 (Scopus ID)
Note

Validerad;2024;Nivå 2;2024-02-16 (joosat);

Full text license: CC BY

Available from: 2024-02-05 Created: 2024-02-05 Last updated: 2024-02-16Bibliographically approved
Ehsan, M., Shabbir, H., Al-Quraishi, A. M. F., Al-Ansari, N., Ahmad, Z., Abdelrahman, K., . . . Elbeltagi, A. (2024). Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques. Applied water science, 14(2), Article ID 23.
Open this publication in new window or tab >>Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques
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2024 (English)In: Applied water science, ISSN 2190-5487, E-ISSN 2190-5495, Vol. 14, no 2, article id 23Article in journal (Refereed) Published
Abstract [en]

Exploration of groundwater is an integral part of viable resource growth for society, economy, and irrigation. However, uncontrolled utilization is mainly reported in urban and industries due to the increasing demand for water in semi-arid and arid regions of the world. In the background, groundwater demarcation for potential areas is vital in meeting necessary demand. The current study applied an integrated method comprising the analytical hierarchy process (AHP), multiple influence factors (MIF), combined with a linear regression curve and observatory well data for groundwater prospects mapping. Thematic maps such as flow direction, flow accumulation, elevation map, land use land cover, slope, soil texture, hill shade, geomorphology, normalized vegetation index, and groundwater depth map were generated utilizing remote sensing techniques. The relative weight of each parameter was estimated and then assigned to major and minor parameters. Potential zones for groundwater were classified into five classes, namely very good, good, moderate, poor, and very poor, based on AHP and MIF methods. A spatially explicit sensitivity and uncertainty analysis method to a GIS-based multi-criteria groundwater potential zone model is presented in this research. The study addressed a flaw in the way groundwater potential mapping results are typically presented in GIS-based multi-criteria decision analysis studies, where discrete class outputs are used without any assessment of their certainty with respect to variations in criteria weighting, which is one of the main contributors to output uncertainty. The study region is categorized based on inferred results as very poor, poor, marginal, and very good in potential ground quality 3.04 km2 is considered extremely poor, 3.33 km2 is considered poor, 64.42 km2 is considered very good, and 85.84 km2 is considered marginal zones, which shows reliable and potential implementation. The outcomes of AHP and MIF were validated by linear regression curve and actual water table in a study area. The study results help to formulate the potential demarcation of groundwater zones for future sustainable planning and development of groundwater sources. This study may be helpful to provide a cost-effective solution to water resources crises. The current study finding may be helpful for decision-makers and administrative professionals for sustainable management of groundwater resources for present and future demands.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Keywords
Analytical hierarchy process (AHP), Groundwater, Multiple influence factors (MIF), Remote sensing, Thematic maps
National Category
Water Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-103995 (URN)10.1007/s13201-023-02065-3 (DOI)2-s2.0-85182848554 (Scopus ID)
Note

Funder: King Saud University (RSP2024R351); Al-Amodi Autism Research Chair, King Saud University; College of Dentistry, King Saud University; College of Food and Agriculture Sciences, King Saud University; College of Medicine, King Saud University; Deanship of Scientific Research, King Saud University; Female Center for Scientific and Medical Colleges, King Saud University; Research Center of the College of Computer and Information Sciences, King Saud University;

Full text license: CC BY

Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-01-29
Gupta, R. K., Sraw, P. K., Kang, J. S., Kaur, J., Sharma, V., Pathania, N., . . . Mattar, M. A. (2024). Interactive effects of long-term management of crop residue and phosphorus fertilization on wheat productivity and soil health in the rice–wheat. Scientific Reports, 14(1), Article ID 1399.
Open this publication in new window or tab >>Interactive effects of long-term management of crop residue and phosphorus fertilization on wheat productivity and soil health in the rice–wheat
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2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 1399Article in journal (Refereed) Published
Abstract [en]

In the context of degradation of soil health, environmental pollution, and yield stagnation in the rice–wheat system in the Indo-Gangetic Plains of South Asia, an experiment was established in split plot design to assess the long-term effect of crop residue management on productivity and phosphorus requirement of wheat in rice–wheat system. The experiment comprised of six crop residue management practices as the main treatment factor with three levels (0, 30 and 60 kg P2O5 ha–1) of phosphorus fertilizer as sub-treatments. Significant improvement in soil aggregation, bulk density, and infiltration rate was observed under residue management (retention/incorporation) treatments compared to residue removal or residue burning. Soil organic carbon (SOC), available nutrient content (N, P, and K), microbial count, and enzyme activities were also significantly higher in conservation tillage and residue-treated plots than without residue/burning treatments. The residue derived from both crops when was either retained/incorporated improved the soil organic carbon (0.80%) and resulted in a significant increase in SOC (73.9%) in the topsoil layer as compared to the conventional practice. The mean effect studies revealed that crop residue management practices and phosphorus levels significantly influenced wheat yield attributes and productivity. The higher grain yield of wheat was recorded in two treatments, i.e. the basal application of 60 kg P2O5 ha–1 without residue incorporation and the other with half the P-fertilizer (30 kg P2O5 ha–1) with rice residue only. The grain yield of wheat where the rice and wheat residue were either retained/incorporated without phosphorus application was at par with 30 and 60 kg P2O5ha–1. Phosphorus levels also significantly affected wheat productivity and available P content in the soil. Therefore, results suggested that crop residue retention following the conservation tillage approach improved the yield of wheat cultivated in the rice–wheat cropping system.

National Category
Agricultural Science
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-103989 (URN)10.1038/s41598-024-51399-8 (DOI)38228839 (PubMedID)2-s2.0-85182460201 (Scopus ID)
Note

Validerad;2024;Nivå 2;2024-02-23 (signyg);

Funder: Department of Biotechnology, Ministry of Science and Technology (BT/PR31684/BIC/101/1205/2019);

Full text license: CC BY

Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-02-23Bibliographically approved
El Jery, A., Alawamleh, H. S., Sami, M. H., Abbas, H. A., Sammen, S. S., Ahsan, A., . . . Al-Ansari, N. (2024). Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon. Scientific Reports, 14(1), Article ID 970.
Open this publication in new window or tab >>Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon
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2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 970Article in journal (Refereed) Published
Abstract [en]

The treatment of methylene blue (MB) dye wastewater through the adsorption process has been a subject of extensive research. However, a comprehensive understanding of the thermodynamic aspects of dye solution adsorption is lacking. Previous studies have primarily focused on enhancing the adsorption capacity of methylene blue dye. This study aimed to develop an environmentally friendly and cost-effective method for treating methylene blue dye wastewater and to gain insights into the thermodynamics and kinetics of the adsorption process for optimization. An adsorbent with selective methylene blue dye adsorption capabilities was synthesized using rice straw as the precursor. Experimental studies were conducted to investigate the adsorption isotherms and models under various process conditions, aiming to bridge gaps in previous research and enhance the understanding of adsorption mechanisms. Several adsorption isotherm models, including Langmuir, Temkin, Freundlich, and Langmuir–Freundlich, were applied to theoretically describe the adsorption mechanism. Equilibrium thermodynamic results demonstrated that the calculated equilibrium adsorption capacity (qe) aligned well with the experimentally obtained data. These findings of the study provide valuable insights into the thermodynamics and kinetics of methylene blue dye adsorption, with potential applications beyond this specific dye type. The utilization of rice straw as an adsorbent material presents a novel and cost-effective approach for MB dye removal from wastewater.

Place, publisher, year, edition, pages
Springer Nature, 2024
National Category
Water Treatment
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-103905 (URN)10.1038/s41598-023-50937-0 (DOI)38200095 (PubMedID)2-s2.0-85181922133 (Scopus ID)
Funder
Luleå University of Technology
Note

Validerad;2024;Nivå 2;2024-02-26 (signyg);

Funder: Deanship of Scientific Research at King Khalid University (R.G.P.2/43/44);

Full text license: CC BY

Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-02-26Bibliographically approved
Naresh, R. K., Singh, P. K., Bhatt, R., Chandra, M. S., Kumar, Y., Mahajan, N. C., . . . Mattar, M. A. (2024). Long-term application of agronomic management strategies effects on soil organic carbon, energy budgeting, and carbon footprint under rice–wheat cropping system. Scientific Reports, 14(1), Article ID 337.
Open this publication in new window or tab >>Long-term application of agronomic management strategies effects on soil organic carbon, energy budgeting, and carbon footprint under rice–wheat cropping system
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2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 337Article in journal (Refereed) Published
Abstract [en]

In the plains of western North India, traditional rice and wheat cropping systems (RWCS) consume a significant amount of energy and carbon. In order to assess the long-term energy budgets, ecological footprint, and greenhouse gas (GHG) pollutants from RWCS with residual management techniques, field research was conducted which consisted of fourteen treatments that combined various tillage techniques, fertilization methods, and whether or not straw return was present in randomized block design. By altering the formation of aggregates and the distribution of carbon within them, tillage techniques can affect the dynamics of organic carbon in soil and soil microbial activity. The stability of large macro-aggregates (> 2 mm), small macro-aggregates (2.0–2.25 mm), and micro-aggregates in the topsoil were improved by 35.18%, 33.52%, and 25.10%, respectively, over conventional tillage (0–20 cm) using tillage strategies for conservation methods (no-till in conjunction with straw return and organic fertilizers). The subsoil (20–40 cm) displayed the same pattern. In contrast to conventional tilling with no straw returns, macro-aggregates of all sizes and micro-aggregates increased by 24.52%, 28.48%, and 18.12%, respectively, when conservation tillage with organic and chemical fertilizers was used. The straw return (aggregate-associated C) also resulted in a significant increase in aggregate-associated carbon. When zero tillage was paired with straw return, chemical, and organic fertilizers, the topsoil's overall aggregate-associated C across all aggregate proportions increased. Conversely, conventional tillage, in contrast to conservation tillage, included straw return as well as chemical and organic fertilizers and had high aggregate-associated C in the subsurface. This study finds that tillage techniques could change the dynamics of microbial biomass in soils and organic soil carbon by altering the aggregate and distribution of C therein.

National Category
Soil Science Agricultural Science
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-103745 (URN)10.1038/s41598-023-48785-z (DOI)38172121 (PubMedID)2-s2.0-85181238188 (Scopus ID)
Funder
Luleå University of Technology
Note

Validerad;2024;Nivå 2;2024-02-26 (signyg);

Funder: King Saud University through the Vice Deanship of Scientific Research Chairs; Research Chair of Prince Sultan Bin Abdulaziz International Prize for Water;

Full text license: CC BY

Available from: 2024-01-16 Created: 2024-01-16 Last updated: 2024-02-26Bibliographically approved
Tuyen, T. T., Al-Ansari, N., Nguyen, D. D., Le, H. M., Phan, T. N., Prakash, I., . . . Pham, B. T. (2024). Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models. Applied water science, 14, Article ID 2.
Open this publication in new window or tab >>Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models
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2024 (English)In: Applied water science, ISSN 2190-5487, E-ISSN 2190-5495, Vol. 14, article id 2Article in journal (Refereed) Published
Abstract [en]

Recently, the spread of white spot disease in shrimps has a major impact on the aquaculture activity worldwide affecting the economy of the countries, especially South-East Asian countries like Vietnam. This deadly disease in shrimps is caused by the White Spot Syndrome Virus (WSSV). Researchers are trying to understand the spread and control of this disease by doing field and laboratory studies considering effect of environmental conditions on shrimps affected by WSSV. Generally, they have not considered spatial factors in their study. Therefore, in the present study, we have used spatial (distances to roads and factories) as well as physio-chemical factors of water: Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Salinity, NO3, P3O4 and pH, for developing WSSV susceptibility maps of the area using Decision Tree (DT)-based Machine Learning (ML) models namely Random Tree (RT), Extra Tree (ET), and J48. Model’s performance was evaluated using standard statistical measures including Area Under the Curve (AUC). The results indicated that ET model has the highest accuracy (AUC: 0.713) in predicting disease susceptibility in comparison to other two models (RT: 0.701 and J48: 0.641). The WSSV susceptibility maps developed by the ML technique, using DT (ET) method, will help decision makers in better planning and control of spatial spread of WSSV disease in shrimps.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Keywords
Disease, Extra tree, J48, Random tree, Vietnam, White spot
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-103506 (URN)10.1007/s13201-023-02049-3 (DOI)2-s2.0-85179128752 (Scopus ID)
Note

Funder: Ministry of Education and Training (B2021-TDV-08);

Full text license: CC BY

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2024-01-08
Swain, S. S., Khura, T. K., Sahoo, P. K., Chobhe, K. A., Al-Ansari, N., Kushwaha, H. L., . . . Singh, C. (2024). Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique. Scientific Reports, 14(1), Article ID 3053.
Open this publication in new window or tab >>Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
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2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 3053Article in journal (Refereed) Published
Abstract [en]

An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and groundwater pollution reduction. However, past studies could not efficiently model nitrate leaching due to utilisation of conventional algorithms. To address the issue, the current research employed advanced machine learning algorithms, viz., Support Vector Machine, Artificial Neural Network, Random Forest, M5 Tree (M5P), Reduced Error Pruning Tree (REPTree) and Response Surface Methodology (RSM) to predict and optimize nitrate leaching. In this study, Urea Super Granules (USG) with three different coatings were used for the experiment in the soil columns, containing 1 kg soil with fertiliser placed in between. Statistical parameters, namely correlation coefficient, Mean Absolute Error, Willmott index, Root Mean Square Error and Nash–Sutcliffe efficiency were used to evaluate the performance of the ML techniques. In addition, a comparison was made in the test set among the machine learning models in which, RSM outperformed the rest of the models irrespective of coating type. Neem oil/ Acacia oil(ml): clay/sulfer (g): age (days) for minimum nitrate leaching was found to be 2.61: 1.67: 2.4 for coating of USG with bentonite clay and neem oil without heating, 2.18: 2: 1 for bentonite clay and neem oil with heating and 1.69: 1.64: 2.18 for coating USG with sulfer and acacia oil. The research would provide guidelines to researchers and policymakers to select the appropriate tool for precise prediction of nitrate leaching, which would optimise the yield and the benefit–cost ratio.

Place, publisher, year, edition, pages
Springer Nature, 2024
National Category
Computer Sciences Geophysical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-104324 (URN)10.1038/s41598-024-53410-8 (DOI)38321086 (PubMedID)2-s2.0-85184407867 (Scopus ID)
Note

Full text license: CC BY 4.0

Available from: 2024-02-21 Created: 2024-02-21 Last updated: 2024-02-21
Kareem, B. A., Zubaidi, S. L., Al-Ansari, N. & Muhsen, Y. R. (2024). Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow. CMES - Computer Modeling in Engineering & Sciences, 138(1), 1-41, Article ID 027954.
Open this publication in new window or tab >>Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
2024 (English)In: CMES - Computer Modeling in Engineering & Sciences, ISSN 1526-1492, E-ISSN 1526-1506, Vol. 138, no 1, p. 1-41, article id 027954Article, review/survey (Refereed) Published
Abstract [en]

Forecasting river flow is crucial for optimal planning, management, and sustainability using freshwater resources. Many machine learning (ML) approaches have been enhanced to improve streamflow prediction. Hybrid techniques have been viewed as a viable method for enhancing the accuracy of univariate streamflow estimation when compared to standalone approaches. Current researchers have also emphasised using hybrid models to improve forecast accuracy. Accordingly, this paper conducts an updated literature review of applications of hybrid models in estimating streamflow over the last five years, summarising data preprocessing, univariate machine learning modelling strategy, advantages and disadvantages of standalone ML techniques, hybrid models, and performance metrics. This study focuses on two types of hybrid models: parameter optimisation-based hybrid models (OBH) and hybridisation of parameter optimisation-based and preprocessing-based hybrid models (HOPH). Overall, this research supports the idea that meta-heuristic approaches precisely improve ML techniques. It's also one of the first efforts to comprehensively examine the efficiency of various meta-heuristic approaches (classified into four primary classes) hybridised with ML techniques. This study revealed that previous research applied swarm, evolutionary, physics, and hybrid metaheuristics with 77%, 61%, 12%, and 12%, respectively. Finally, there is still room for improving OBH and HOPH models by examining different data pre-processing techniques and metaheuristic algorithms.

Place, publisher, year, edition, pages
Tech Science Press, 2024
Keywords
Univariate streamflow, machine learning, hybrid model, data pre-processing, performance metrics
National Category
Computer Sciences Oceanography, Hydrology and Water Resources
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-102421 (URN)10.32604/cmes.2023.027954 (DOI)001088281300001 ()
Note

Validerad;2023;Nivå 2;2023-11-14 (marisr);

Full text license: CC BY

Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2023-11-14Bibliographically approved
Harash, F., Chen, C., Qing, L., Tu, C., Al-Ansari, N., Khalaf, A., . . . ALshameri, A. (2023). 3-D density structure of the upper-mantle in the eastern Mediterranean Sea and surrounding region using gravity inversion constrained by seismic velocity model. Tectonophysics, 860, Article ID 229906.
Open this publication in new window or tab >>3-D density structure of the upper-mantle in the eastern Mediterranean Sea and surrounding region using gravity inversion constrained by seismic velocity model
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2023 (English)In: Tectonophysics, ISSN 0040-1951, E-ISSN 1879-3266, Vol. 860, article id 229906Article in journal (Refereed) Published
Abstract [en]

A 3D density structure of the lithosphere and upper mantle beneath the eastern Mediterranean Sea (EMS) and its adjacent region was constructed based on gravity anomaly inversion constrained by a seismic tomography model. Gravity effects of terrain and crust were removed from the observed gravity field (EIGEN-6C4) to obtain the residual mantle gravity anomaly (RMGA). The density distribution of the lithosphere and upper mantle was investigated. The 3D inversion process was constrained by an initial density model projected from the shear-wave velocity model (SL2013sv). The results show some characteristics of the density distribution in the lithosphere and in the upper mantle that could be related to the tectonic importance of the Mediterranean Sea and the surrounding region. A low-density zone dominates the lithosphere beneath the Sea except for the area around the Arabia Shield and North Anatolian Fault belt. A thinner, high-density layer beneath the southwest of the Sea may be related to the older oceanic lithospheric fragments. The high-density anomalies appear at depths below 280 km beneath the Sea and the Turkish Aegean Sea Plate. However, the low-density anomalies appear on the upper mantle under the trenches of the southwestern part of the Mediterranean Sea, the eastern part of the Aegean Sea, the Red Sea, the Black Sea, and the middle of the Arabia shield. The deep structure under the Eratosthenes seamount in the Mediterranean Sea is the source of the intensity and genesis of tectonic activity. Furthermore, the convergence region of two low-density anomaly zones (Africa-Anatolia) may be interpreted as a significant tectonic unit (Eratosthenes seamount) caused by the arrival of the relatively thick and buoyant Eratosthenes block to its present location south of Cyprus in Holocene time based on the density model interpretation beneath the Mediterranean Sea during the Late Cretaceous and early Tertiary period.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Density Structure, Eastern Mediterranean Sea, Gravity Inversion, Lithospheric, Upper Mantle
National Category
Geophysics
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-97743 (URN)10.1016/j.tecto.2023.229906 (DOI)2-s2.0-85160022938 (Scopus ID)
Funder
Luleå University of Technology
Note

Validerad;2023;Nivå 2;2023-05-31 (joosat);

Funder: Natural Science Foundation of China (Nos. 42174090, 41604060); the MOST Special Fund from the State Key Laboratory of Geological Processes and Mineral Resources (MSFGPMR2022-4), China University of Geosciences

Available from: 2023-05-31 Created: 2023-05-31 Last updated: 2023-10-11Bibliographically approved
Raza, M. A., Almazah, M. M. A., Al-ansari, N., Hussain, I., Al-Duais, F. S. & Naser, M. A. (2023). A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices. Complexity, Article ID 8260317.
Open this publication in new window or tab >>A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices
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2023 (English)In: Complexity, ISSN 1076-2787, E-ISSN 1099-0526, article id 8260317Article in journal (Refereed) Published
Abstract [en]

Drought is one of the most multifaceted hydrologic phenomena, affecting several factors such as soil moisture, surface runoff, and significant water shortages. Therefore, monitoring and assessing drought occurrences based on a single drought index are inadequate. The current study develops a multiscalar weighted amalgamated drought index (MWADI) to amalgamate multiple drought indices. The MWADI is mainly based on the normalized average dependence posterior probabilities (ADPPs). These ADPPs are obtained from Bayesian networks (BNs)-based Markov Chain Monte Carlo (MCMC) simulations. Results have shown that the MWADI correlates more with the standardized precipitation index (SPI) and the standardized precipitation temperature index (SPTI). As proposed, the MWADI synthesizes drought characteristics of different multiscalar drought indices to reduce the uncertainty of individual drought indices and provide a comprehensive drought assessment.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2023
National Category
Oceanography, Hydrology and Water Resources
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-97009 (URN)10.1155/2023/8260317 (DOI)2-s2.0-85158152557 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-05-04 (hanlid);

Funder: Deanship ofScientifc Research at King Khalid University  (RGP.2/23/44); Prince Sattam bin Abdulaziz University (PSAU/2023/R/1444);

Part of special issue: Technologies-Based Advanced Machine Learning Models: Applications in Civil Engineering 2021

Available from: 2023-05-04 Created: 2023-05-04 Last updated: 2023-10-11Bibliographically approved
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