Article
Chemistry, Multidisciplinary
Megersa Kebede Leta, Tamene Adugna Demissie, Muhammad Waseem
Summary: Hydrological modeling using the SWAT model was conducted to simulate and evaluate the hydrological behavior of the Nashe watershed. The sensitivity of parameters and performance of the model were assessed using different algorithms. Seasonal water balance analysis revealed the variations in water budget for different periods in the catchment.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Yangshuo Shen, Shuo Wang, Boen Zhang, Jinxin Zhu
Summary: This paper presents a stochastic hydrological modeling system (SHMS) for improving daily streamflow prediction by explicitly addressing uncertainties in error and model parameters as well as in forcing data and model outputs. The SHMS merges the strengths of the ensemble Kalman filter and the particle filter algorithms for improving the effectiveness and robustness of daily streamflow assimilation. The SHMS has been applied to the Guadalupe River basin located in Texas of the United States to demonstrate feasibility and applicability, and the findings show its superiority over other models.
JOURNAL OF HYDROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Murtala Iyanda Animashaun, Philip Gbenro Oguntunde, Obafemi Olutola Olubanjo, Akinola Shola Akinwumiju
Summary: This study evaluated the applicability of ensemble means from CORDEX_RCMs for climate change impact assessment in NCHA. The SWAT model was successfully calibrated and forced with CORDEX_RCMs at different GWLs. The results showed that the CORDEX_RCMs effectively simulated climate variables and projected an increase in streamflow and changes in rainfall, runoff, evapotranspiration, and potential evapotranspiration under different GWLs. The study also highlighted the potential increase in flood events in the late rainy season and suggested the inclusion of adaptation strategies to address water deficits and excesses.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Review
Engineering, Civil
Abhinav Gupta, Rao S. Govindaraju
Summary: This paper discusses the application of different paradigms in watershed hydrology, with a focus on their philosophical and theoretical foundations. Specifically, it explores the role of a relatively new paradigm, LOA, in rainfall-runoff modeling, and discusses methods of specifying LOA.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Nabil Al Aamery, James F. Fox, Tyler Mahoney
Summary: This study focused on forecasting sediment transport using global climate model ensembles and identified hydrologic modeling parameterization as the primary source of variance impacting forecasted sediment transport, surpassing the uncertainty from the selected global climate model realizations. Climate change impacts on sediment transport were mainly attributed to meteorological variables like precipitation and temperature, with underestimation observed when considering only these factors. Variance introduced by different global climate model ensembles had limited impact on forecasted streamflow and sediment yield, indicating the importance of researcher effort in designing ensemble models for robust results.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Mengye Chen, Zhi Li, Humberto J. Vergara, Jonathan J. Gourley, Ming Xue, Yang Hong, Xiao-Ming Hu, Hector Mayol Novoa, Elinor R. Martin, Renee A. Mcpherson, Shang Gao, Andres Vitaliano Perez, Isaac Yanqui Morales
Summary: In this study, an improved version of the CREST model that considers the groundwater component was proposed and calibrated using data from across the United States. The results showed that the CREST model performs well in the eastern US but has limitations in mountainous regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Summary: Machine learning and data science models, while successful in many commercial fields, have limited success in certain scientific fields due to lack of interpretability and physical consistency, leading to the emergence of new modelling paradigms focused on blending existing scientific knowledge with learning algorithms.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Taroob Bashir Naqash, Manzoor Ahmad Ahanger, Rajib Maity
Summary: The Soil and Water Assessment Tool (SWAT) was used in this study to simulate streamflow in the upper Jhelum basin. The results showed that the SWAT model performed well in both the calibration and validation period, indicating its applicability in high mountainous catchments.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Geosciences, Multidisciplinary
Agnethe Nedergaard Pedersen, Annette Brink-Kjaer, Peter Steen Mikkelsen
Summary: Simulation models in urban drainage engineering may contain errors and uncertainties, which can be assessed across multiple sites by comparing model results with measurements. Using hydrological signatures, the study highlights the reliability of the model for different objectives and suggests methods for improvement and refinement in the future.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Civil
Shagun Chaudhary, Lloyd H. C. Chua, Arun Kansal
Summary: This study examines the uncertainty of stormwater quality modeling and highlights the significance of distinguishing the differences in washoff behavior and results between catchments in different climate zones.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Feng Han, Zhaoping Hu, Nengwang Chen, Yao Wang, Jiping Jiang, Yi Zheng
Summary: This study proposed a novel method, Bayesian calibration using multisource observations (BCMSO), to incorporate in-situ sensor data in watershed water quality modeling. The results showed that direct assimilation of sensor data using traditional Bayesian calibration could lead to significant parameter inference deviations and model simulation biases, but the BCMSO method could extract meaningful information from sensor data and reduce modeling uncertainty after proper treatment of errors in sensor data.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Civil
Frezer Seid Awol, Paulin Coulibaly, Ioannis Tsanis
Summary: This research aims to develop an approach to identify the best flood forecast model and find the best combination method for improved short-term flood forecasting by integrating various hydrological models and numerical weather predictions. Results show that coupling the SACSMA model with high-resolution precipitation and rapid refresh inputs outperformed other model-input integrations. Constraints on model weight estimation were found to be crucial for obtaining improved combined streamflow forecasts. The constrained ordinary least squares method has emerged as a possible alternative to the widely used BMA method for hydrology application.
JOURNAL OF HYDROLOGIC ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Chiyuan Miao, Jiaojiao Gou, Bojie Fu, Qiuhong Tang, Qingyun Duan, Zhongsheng Chen, Huimin Lei, Jie Chen, Jiali Guo, Alistair G. L. Borthwick, Wenfeng Ding, Xingwu Duan, Yungang Li, Dongxian Kong, Xiaoying Guo, Jingwen Wu
Summary: The reconstruction of natural streamflow is crucial for the sustainable management of water resources. This study presents the first high-quality gauge-based natural streamflow dataset for China by using a well-trained land surface model and a routing model with flow direction correction. The proposed construction scheme has important implications for similar simulation studies in other regions and provides useful data for river management activities in China.
Article
Engineering, Environmental
Arnan Araza, Maricon Perez, Rex Victor Cruz, Larlyn Faith Aggabao, Eugene Soyosa
Summary: This study assessed the impact of climate change and land use change on water resources and agriculture through simulation, revealing potential water deficits and surpluses in the future that may affect crop yields. Adjustments to cropping schedules will be needed to mitigate these risks.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Engineering, Environmental
Dilibaier Aibaidula, Nuray Ates, Filiz Dadaser-Celik
Summary: The applicability of the ecohydrological model SWAT was evaluated in a data-scarce semi-arid basin in Turkey. Multiple optimization algorithms were used for model calibration and uncertainty assessment, with the SUFI-2 algorithm showing the best performance.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Green & Sustainable Science & Technology
Laishram Kanta Singh, Madan K. Jha, V. M. Chowdary
Summary: The study investigates the spatio-temporal variability of water demand and supplies in an Eastern Indian Canal Command under different meteorological conditions, with a focus on the dynamic groundwater reserve. It suggests cost-effective alternatives for efficient management of available water resources and identifies management strategies for sustainable agricultural production under diverse climatic conditions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Laishram Kanta Singh, Madan K. Jha, V. M. Chowdary
Summary: Geospatial techniques and Multi-Criteria Decision Analysis are important for land and water resource planning. This study proposes a novel GIS-based MCDA approach called 'Hybrid Catastrophe' technique that integrates 'Catastrophe theory' with 'Analytic Hierarchy Process' to assess groundwater potential. The technique considers both qualitative and quantitative factors, improving reliability and versatility. The study demonstrates the applicability of the 'Hybrid Catastrophe' technique with a case study, achieving reasonably high accuracy.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Laishram Kanta Singh, Madan Kumar Jha, V. M. Chowdary
Summary: This study uses multi-criteria decision-making and geospatial techniques to generate RWHD map and prioritize locations for RWH and groundwater recharge, providing a novel and robust approach for water managers in irrigation commands. Integration of geospatial and MCDM techniques with suitable thematic layers offers a useful tool for large-scale planning and management of rainwater conservation measures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
J. Kuttippurath, S. Murasingh, P. A. Stott, B. Balan Sarojini, Madan K. Jha, P. Kumar, P. J. Nair, H. Varikoden, S. Raj, P. A. Francis, P. C. Pandey
Summary: Analysis of 119 years of rainfall measurements at 16 different rain gauge stations across northeast India reveals a significant change in rainfall pattern after 1973, with a decreasing trend. It has been observed that in recent decades, the wettest place in the world has shifted from Cherrapunji to Mawsynram, separated by 15 km.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Review
Environmental Sciences
Bhumika Uniyal, Jorg Dietrich
Summary: The study emphasizes the importance of quantifying irrigation water demand for sustainable agriculture. It discusses the use of agricultural models for simulation and calculation, highlighting the adjustability of models to reflect field management practices accurately. The review also touches on the significance of considering horizontal hydrological connectivity in irrigation scheduling and water extraction.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Lamine Boumaiza, Julien Walter, Romain Chesnaux, Melanie Lambert, Madan Kumar Jha, Heike Wanke, Andrea Brookfield, Okke Batelaan, Paulo Galvao, Nour-Eddine Laftouhi, Christine Stumpp
Summary: Proper knowledge of potential groundwater recharge (PGR) and its spatiotemporal distribution is crucial for sustainable groundwater management. This study developed a GIS-based water budget framework to estimate PGR at a regional scale and map its distribution. The results showed an increasing trend in PGR over the past 100 years, despite the increasing trends in actual evapotranspiration and surface runoff. This finding provides important information for future studies and groundwater management strategies.
HYDROLOGICAL PROCESSES
(2022)
Article
Water Resources
Thendiyath Roshni, Sourav Choudhary, Madan K. Jha, Mohammad Ali Ghorbani, Pawan S. Wable
Summary: A probabilistic-based groundwater model is developed to address the spatio-temporal distribution of groundwater drought severity and duration. The model fills the research gap by calculating Groundwater Drought Risk and Environmental Hazard Index based on probability distribution method, and by using Copula method to calculate the return period of drought events. Applied to Sina basin, the model reveals a continuous decline in groundwater level and mild to moderate drought conditions. The model provides a tool for assessing the risk and identifying hotspots, as well as suggesting better management strategies for sustainable groundwater development.
SUSTAINABLE WATER RESOURCES MANAGEMENT
(2022)
Article
Water Resources
S. Murasingh, J. Kuttippurath, S. Sandeep Dash, S. Raj, R. Remesan, Madan K. Jha, P. Kumar
Summary: This study quantifies and assesses the changes in hydrological flux components for the Manu-Deo River Basin in northeast India using simulations and multi-temporal data. The research reveals trends in streamflow and evapotranspiration, as well as their impact on agricultural production. The results under future climate scenarios are also discussed, highlighting the importance for water resource management and decision-making.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Green & Sustainable Science & Technology
M. Annie Jenifer, Madan Kumar Jha
Summary: Population growth, urbanization and industrialization, mismanagement, and climate change all contribute to the depletion and pollution of groundwater worldwide. To protect this precious resource, it is essential to evaluate the propensity for contamination. This paper proposes a novel approach using the GWQI, AVI, and geospatial modeling to explore aquifer susceptibility to contamination, with promising results.
Article
Soil Science
Poonam Biswal, Dillip Kumar Swain, Madan Kumar Jha
Summary: Water-saving production technologies are crucial for future agricultural production. This study investigated the effects of rice straw mulch with drip irrigation on soil temperature, moisture content, potato yield, and water productivity. The results showed that the straw mulch increased soil temperature and moisture content, and reduced evapotranspiration. Limited drip irrigation also increased soil temperature compared to furrow irrigation. The combination of mulching and limited drip irrigation resulted in higher tuber yield and improved water productivity, indicating the potential of this strategy for increasing potato production under limited resources.
SOIL & TILLAGE RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Chinchu Mohan, Andrew W. Western, Madan Kumar Jha, Yongping Wei
Summary: This study evaluates the stress on aquifer systems worldwide caused by the overuse of groundwater for agriculture and explores ways to reduce this stress through improved irrigation efficiency and productivity. The results show that many countries dependent on groundwater irrigation are overexploiting groundwater, but increasing irrigation efficiency can reduce the current groundwater stress by 40%.
Article
Environmental Sciences
Pawan S. Wable, Madan Kumar Jha, Sirisha Adamala, Mukesh Kumar Tiwari, Sabinaya Biswal
Summary: This study focuses on drought forecasting using Artificial Neural Network (ANN)-based models. Four models were developed and compared, and the hybrid wavelet and bootstrap models performed better than the conventional and single bootstrap models.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Engineering, Civil
Sabinaya Biswal, Bhabagrahi Sahoo, Madan K. Jha, Mahendra K. Bhuyan
Summary: Accurate representation of river channel and floodplain geometries is crucial for streamflow routing and flood inundation modelling, especially when surveyed data is inadequate. This study developed a hybrid machine learning-based Multi-DEM Ensemble (MDE) approach to simulate bias-corrected cross-sections using open source DEMs-extracted river cross-sections and analyzed the hydraulic suitability and uncertainties associated with the simulated cross-sections.
JOURNAL OF HYDROLOGY
(2023)
Article
Geochemistry & Geophysics
Laishram Kanta Singh, Madan Kumar Jha, Mohita Pandey
Summary: The increase in water demand and mismanagement of water resources have caused a freshwater shortage in many parts of the world, including India. This study focuses on analyzing the spatio-temporal variability and long-term trends in rainfall and temperature in Eastern India. The results show significant variations and trends in these variables, which have direct implications for climate change impacts and can assist in developing climate-resilient strategies for water resource planning and management.
PURE AND APPLIED GEOPHYSICS
(2023)
Article
Geochemistry & Geophysics
S. Murasingh, J. Kuttippurath, S. Raj, Madan K. Jha, H. Varikoden, S. Debnath
Summary: Changes in rainfall patterns in Tripura, India have led to a decrease in seasonal and annual rainfall. The study suggests that land use and land cover have an impact on rainfall, indicating anthropogenic influence. Additionally, increased sea surface temperature in the Arabian Sea and Bay of Bengal, along with its relation to tropical climate events, significantly contribute to rainfall variability in the region.
PURE AND APPLIED GEOPHYSICS
(2022)