Article
Environmental Sciences
Rajesh Sarda, Swades Pal
Summary: This study successfully examined the impact of damming on the eco-hydrological conditions of the river and wetland. It found that damming led to a decrease in flow and a high flow failure rate, resulting in a negative hydrological alteration. The impact of damming was more pronounced in the river, leading to a growing eco-hydro deficit.
GEOCARTO INTERNATIONAL
(2022)
Article
Water Resources
Xingyu Zhou, Xiaorong Huang, Hongbin Zhao
Summary: The relationship between data length and evaluation of hydrological alteration is uncertain. The study applied the length of record (LOR) method to analyze the impact of different data lengths on Indicators of Hydrologic Alteration (IHA) evaluation in the Jinsha River. Results show that different indicators may require different lengths of data support, and a logarithmic correlation was found between LOR results and the coefficient of variation (CV) of IHA statistics.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Environmental Sciences
Hemant Kumar, Jeongwoo Hwang, Naresh Devineni, A. Sankarasubramanian
Summary: Large dams heavily regulate natural river flows, degrading the river's health. While there has been extensive research on the impact of individual dams on flow regulation, few studies have investigated the combined impact of dam regulation on an entire river network. This study proposes a new index, the Dynamic Flow Alteration Index (DFAI), to measure the degree of regulation by comparing controlled flows with naturalized flows. The DFAI captures the localized regulation of upstream dams and reveals increasing cumulative impact downstream. It also considers the shifting of peak flow occurrence and dampening of peak flows caused by dam operations.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Jesus Pardo-Loaiza, Abel Solera, Rafael J. Bergillos, Javier Paredes-Arquiola, Joaquin Andreu
Summary: Assessing the health of hydrological systems is crucial for the conservation of river ecosystems, with indicators of hydrologic alteration being widely used parameters. This study proposes a methodology to estimate these indicators at the basin scale in regulated systems, illustrated through a case study in the Duero River basin. The results show the possibility of improving the hydrological status of certain subsystems without affecting water demand supplies, aiding decision makers in optimizing water management and enhancing river basins' hydrological conditions.
Article
Environmental Sciences
Guohua Fang, Min Yan, Linghui Dai, Xianfeng Huang, Xinyi Zhang, Yangyang Lu
Summary: This study proposes an improved version of the universal hydrological alteration indicators (IHA) and uses the range of variable approach (RVA) and histogram matching approach (HMA) to assess flow regime alteration. The case study of Liujiaping River in Hunan Province, China, shows that the improved IHA can comprehensively reflect flow regime alteration, and both RVA and HMA indicate a high level of hydrological alteration in the river. The indicators of water quantity level (WQL) and hydrological alteration (HA) have high correlation coefficients with IIHA parameters and can effectively evaluate the influence of flow regime alteration on the riverine ecosystem.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Mohammad Haroon Hairan, Nor Rohaizah Jamil, Mohammad Noor Amal Azmai, Ley Juen Looi, Moriken Camara
Summary: Tropical rivers and wetlands, which are among the most abundant ecosystems in terms of ecological and social benefits, are threatened by climate change, damming, overfishing, water pollution, and the introduction of exotic species. This study assessed the environmental flow of the Selangor River using the hydrological index method and found that the river flow has experienced changes over the past 60 years. Further research is recommended to analyze the impact of dams on aquatic biodiversity and ecosystem services in the Selangor River Basin.
Article
Engineering, Civil
Shang-Shu Shih, Chi-Hsin Liu, Jing-Hua Ning
Summary: In-river hydraulic structures have a negative impact on aquatic ecosystems, altering river flow regimes and habitat quality for endemic fish species. This study used wavelet analysis and time-series exceedance probability to analyze the effects of weirs on river flow characteristics and habitat structure. The findings showed that weirs led to significant changes in the downstream flow regime and the flow difference between dry and wet seasons, impacting habitat quality. The study suggests considering natural flow regimes during the planning and design phases of weir construction to mitigate the ecological impacts downstream.
JOURNAL OF HYDROLOGY
(2022)
Article
Ecology
Farshid Zolfagharpour, Bahram Saghafian, Majid Delavar
Summary: This study investigates the impacts of climate variability and human activities on hydrologic metrics and biodiversity in a river basin. The findings support the effectiveness of scenario-based hydrological modeling in assessing these impacts. Additionally, the eco-flow metrics based on discharge hydrographs and the Shannon diversity index based on indicators of hydrological alteration can provide scientific decision-making support for water resource management in basins lacking ecological data.
ECOLOGICAL PROCESSES
(2022)
Article
Multidisciplinary Sciences
Md. Shahjahan Ali, Mahmudul Hasan
Summary: The purpose of this study is to assess the Environmental Flow Requirement (EFR) of Gorai River in Bangladesh and to evaluate the change in flow characteristics in recent time compared to past. The findings indicate that the Mean Annual Flow (MAF) in the recent period is lower than in the past, and there has been an increase in the Mean Monthly Flow (MMF) in the low flow season and a decrease in the high flow season. Various methods were used to determine the EFR, and it was found that the Low-Flow Requirements (LFR) expressed as a percentage of mean seasonal flow were higher than the High-Flow Requirements (HFR), while the LFR expressed as a percentage of MAF was lower than the HFR. The study also observed a deficient flow situation from December to May.
Article
Environmental Sciences
Sam Zipper, Ilinca Popescu, Kyle Compare, Chi Zhang, Erin C. Seybold
Summary: Non-perennial rivers and streams are becoming more widespread, and the stability of streamflow in wet and dry conditions is unclear. An investigation in the Arkansas River (USA) revealed that groundwater levels are the primary control over the hydrological regime, and stabilizing feedbacks among upstream inflows, stream-aquifer interactions, climate, vegetation, and pumping create alternative wet and dry stable states.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Geochemistry & Geophysics
Ankit Ranjan, Thendiyath Roshni
Summary: This study analyzed the hydrological status of the Sone river basin in Bihar region, India, and developed flow duration curves to show the time duration-frequency of low-flow events. The results indicate that the hydrological status of the river basin is in a highly altered state. The proposed methodology for designing environmental flow considering hydrological alteration effects can be used to develop long-term strategies to protect the riverine ecosystem in the Sone river basin.
Review
Green & Sustainable Science & Technology
Angeliki Mentzafou, Petros Katsafados, Anastasios Papadopoulos, Elias Dimitriou
Summary: The research on hydrological regime alteration assessment methods is of great significance in the field of environmental protection, and there are still many issues to be addressed, such as how to define reference conditions and how to deal with the impact of groundwater on hydrological alteration.
Article
Engineering, Civil
Yuankun Wang, Yuwei Tao, Rujian Qiu, Dong Wang, Jichun Wu
Summary: A framework is proposed to assess the alteration degree of thermal regime in a regulated river caused by human disturbances.
JOURNAL OF HYDROLOGY
(2022)
Review
Geosciences, Multidisciplinary
Remi Loire, Herve Piegay, Jean-Rene Malavoi, G. Mathias Kondolf, Leah A. Beche
Summary: Flushing flows, also known as morphogenic releases, are high-flow releases that mimic floods to remove fine sediment from downstream aquatic habitats. These releases can lead to biophysical changes in channel characteristics to improve aquatic and riparian habitats, but implementing them may face challenges and require practical solutions based on local conditions and stakeholder interests.
EARTH-SCIENCE REVIEWS
(2021)
Article
Engineering, Environmental
Xin Zheng, Tao Yang, Tong Cui, Chongyu Xu, Xudong Zhou, Zhenya Li, Pengfei Shi, Youwei Qin
Summary: The revised RVA method proposed in this study offers a more comprehensive assessment of hydrological regime changes, effectively capturing hydrological alterations that conventional methods fail to reflect.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Environmental Sciences
Reham R. Mostafa, Ozgur Kisi, Rana Muhammad Adnan, Tayeb Sadeghifar, Alban Kuriqi
Summary: This study investigates the efficiency of two machine-learning methods, random vector functional link (RVFL) and relevance vector machine (RVM), improved with new metaheuristic algorithms, quantum-based avian navigation optimizer algorithm (QANA), and artificial hummingbird algorithm (AHA) in modeling potential evapotranspiration (ET0) using limited climatic data. The results showed that AHA and QANA significantly improved the efficiency of RVFL and RVM in modeling ET0.
Article
Agronomy
Rana Muhammad Adnan Ikram, Reham R. Mostafa, Zhihuan Chen, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Alban Kuriqi, Mohammad Zounemat-Kermani
Summary: Hybrid metaheuristic algorithm is a powerful tool in AI that provides accurate ETo prediction, which is crucial for water resource availability and hydrological studies. However, its use in predicting ETo is limited. In this study, the prediction abilities of two SVR models combined with three MAs were compared. The results showed that the SVR-PSOGWO model outperformed other models and could significantly reduce RMSE in ETo prediction. This hybrid machine learning model is recommended for monthly ETo prediction in humid regions and similar climates worldwide.
Article
Thermodynamics
Lorenc Malka, Flamur Bidaj, Alban Kuriqi, Aldona Jaku, Rexhina Roci, Alemayehu Gebremedhin
Summary: The post Covid-19 pandemic and Ukrainian war have had a significant impact on energy systems worldwide, causing a decline in investments and hindering the expansion of clean energy technologies, even in well-developed systems like Norway's. The study analyzes the demand-side energy consumption in various sectors and presents scenarios for future energy demand and emission reductions. The findings highlight the importance of measures like carbon taxation and carbon capture storage in achieving net-zero emissions by 2050.
Article
Water Resources
Helena M. Ramos, Alban Kuriqi, Oscar E. Coronado-Hernandez, P. Amparo Lopez-Jimenez, Modesto Perez-Sanchez
Summary: This research proposes a methodology to improve the accuracy and reliability of data in water systems and increase their performance. It suggests a pressure-reduction strategy and the implementation of pumps as turbines (PATs) in the Sta Cruz, Madeira water system. By using a developed digital twin model, it reduces water demand by 3.3 hm(3), increases renewable generation by 1.2 GWh, saves over 1.5 Meuro, and decreases CO2 emissions by 530 tons annually, thus contributing to sustainable development goals (SDGs) evaluation.
URBAN WATER JOURNAL
(2023)
Article
Engineering, Civil
Ismail Abd-Elaty, Ismail Fathy, Alban Kuriqi, Am Pris John, Salvatore Straface, Elsayed M. Ramadan
Summary: Due to population increase and climate change, freshwater supplies in Egypt's Nile delta are significantly limited. To address water shortage, Egypt plans to implement modern irrigation systems. This study investigated the impact of different irrigation methods on groundwater levels and land subsidence in the Nile Delta. It found that the groundwater drawdown ranged from 2.60 m to 6.50 m, while land subsidence ranged from 26 m to 65 cm, depending on the irrigation method used.
WATER RESOURCES MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Chelpuri Ramulu, Raj Narayan Pateriya, Mude Arjun Naik, Dinesh Kumar Vishwakarma, Alban Kuriqi, Nadhir Al-Ansari, Abed Alataway, Ahmed Z. Dewidar, Mohamed A. Mattar
Summary: This study aims to develop a crop residue management machine that can chop paddy residues and mix them with the soil of the combined harvested paddy field. The tractor-driven machine has a power range of about 55.95 kW and includes chopping and incorporation units. The study analyzes the effectiveness of four parameters on the efficiency of incorporation, shredding, and reduction of chopped paddy residues. The results suggest that with certain configurations, the machine can effectively manage the paddy residue issue in combined harvested paddy fields.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Helena M. Ramos, Alban Kuriqi, Mohsen Besharat, Enrico Creaco, Elias Tasca, Oscar E. Coronado-Hernandez, Rodolfo Pienika, Pedro Iglesias-Rey
Summary: One of the main factors contributing to water scarcity is water loss in water distribution systems, which mainly arises from a lack of knowledge in the design process and poor maintenance/management. To improve system efficiency, the current study establishes a smart water grid with a digital twin for monitoring and management. Through a case study in Madeira Island, Portugal, the developed methodology significantly reduces water losses and improves system efficiency, resulting in meaningful economic benefits.
Article
Engineering, Marine
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, Alban Kuriqi, Ozgur Kisi, Shamsuddin Shahid
Summary: This study examines the performance of a new hybrid neuro-fuzzy model, which combines the neuro-fuzzy (ANFIS) approach with the marine predators' algorithm (MPA), in predicting short-term significant wave heights. The ANFIS-MPA model is compared with two other hybrid methods, ANFIS-GA and ANFIS-PSO, and shows better accuracy in predicting significant wave height for multiple lead times ranging from 1 h to 1 day. The investigation of the best input for the prediction models using multivariate adaptive regression spline further enhances the accuracy of the ANFIS-MPA model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, Gottam Kishore, Nadhir Al-Ansari, Kusum Pandey, Pravendra Kumar, N. L. Kushwaha, Arif Jewel
Summary: Knowledge of stage-discharge rating curve is crucial in water resource system engineering, and developing a reliable curve is essential. This research aimed to optimize the curve using the GRG solver and test the accuracy and applicability of hybridized linear regression models. The results showed that the LR-REPTree model performed superior to other models in all input combinations during the testing period.
Article
Engineering, Civil
Ozgur Kisi, Mehmet Ardiclioglu, Arzu M. W. Hadi, Alban Kuriqi, Christoph Kulls
Summary: This study compares four data-driven methods in estimating the mean velocity upstream and downstream of bridges. The results show that the MARS method has the best efficiency in estimating the mean velocity upstream, while the M5Tree method provides the highest performance in estimating the mean velocity downstream.
WATER RESOURCES MANAGEMENT
(2023)
Article
Energy & Fuels
Abul Abrar Masrur Ahmed, Nadjem Bailek, Laith Abualigah, Kada Bouchouicha, Alban Kuriqi, Alireza Sharifi, Pooya Sareh, Abdullah Mohammad Ghazi Al Khatib, Pradeep Mishra, Ilhami Colak, El-Sayed M. El-kenawy
Summary: This study evaluates the application of a new soft technique called Variational Mode Decomposition (VMD) in improving the accuracy of power consumption forecasts. The results show that the VMD-BiGRU and VMD-LSTM models outperform other models by 20% to 50% on all evaluation measures. Additionally, the study finds that VMD is most effective for short-to medium-term forecasts.
Article
Multidisciplinary Sciences
Dinesh Kumar Vishwakarma, Rohitashw Kumar, Arvind Singh Tomar, Alban Kuriqi
Summary: Reliable information on the dimensions of wetted soil beneath a point source is critical for designing accurate and efficient irrigation systems. This study aims to review previous studies, collect models developed, and evaluate the effectiveness of empirical methods for predicting wetting patterns. The Li model proves to be the best after statistical analysis with field data.
Article
Geochemistry & Geophysics
Suman Markuna, Pankaj Kumar, Rawshan Ali, Dinesh Kumar Vishwkarma, Kuldeep Singh Kushwaha, Rohitashw Kumar, Vijay Kumar Singh, Sumit Chaudhary, Alban Kuriqi
Summary: This study focuses on the prediction of daily and mean weekly rainfall using four machine learning techniques: multiple linear regression (MLR), support vector regression (SVR), multivariate adaptive regression splines (MARS), and random forest (RF). The RF model exhibited the best performance in both calibration and testing periods, with the lowest RMSE and highest d, r, and KGE values.
PURE AND APPLIED GEOPHYSICS
(2023)
Article
Environmental Sciences
Dheeraj Mohan Gururani, Yogendra Kumar, Salwan Ali Abed, Vinod Kumar, Dinesh Kumar Vishwakarma, Nadhir Al-Ansari, Kanwarpreet Singh, Alban Kuriqi, Mohamed A. Mattar
Summary: The study aims to identify potential recharge zones for groundwater in the Nandhour-Kailash River watershed in India. The results show that certain sub-basins require immediate conservation attention, while others have a low risk. Proposed water harvesting structures can aid in recharging these zones and benefit water resource managers and planners.
Article
Green & Sustainable Science & Technology
Bukurije Hoxha, Alban Kuriqi, Risto V. Filkoski
Summary: This study investigates the seasonal wind speed variability and its impact on the potential energy generation in the mountainous region of Koznica, Kosovo. The results show that winter and spring have the highest potential wind energy capacity, providing valuable insights for wind power exploration and development.
ENERGY ECOLOGY AND ENVIRONMENT
(2023)