المؤلفون: Zhang Y; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, People's Republic of China.; State Key Laboratory of Soil Erosion and Dryland Farming On the Loess Plateau, Institute of Water and Soil Conservation, Northwest A&F University, Yangling, 712100, People's Republic of China.; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, People's Republic of China., Gao Y; School of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi, People's Republic of China., Xu L; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, People's Republic of China.; State Key Laboratory of Soil Erosion and Dryland Farming On the Loess Plateau, Institute of Water and Soil Conservation, Northwest A&F University, Yangling, 712100, People's Republic of China.; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, People's Republic of China., Liu Z; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, People's Republic of China.; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, People's Republic of China., Wu L; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, People's Republic of China. lwu@nwsuaf.edu.cn.; State Key Laboratory of Soil Erosion and Dryland Farming On the Loess Plateau, Institute of Water and Soil Conservation, Northwest A&F University, Yangling, 712100, People's Republic of China. lwu@nwsuaf.edu.cn.; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, People's Republic of China. lwu@nwsuaf.edu.cn.

المصدر: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Mar; Vol. 31 (13), pp. 20534-20555. Date of Electronic Publication: 2024 Feb 20.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

مواضيع طبية MeSH: Soil* , Rivers*, Bayes Theorem ; Hydrology ; China

مستخلص: In hydrological studies, satellite and reanalysis precipitation products are increasingly being used to supplement gauge observation data. This study designed the composite simulation index (COSI), considering two factors: F1 (data accuracy assessment) and F2 (hydrological simulation performance), to compare the performance of the latest satellite-based and reanalysis-based precipitation products (IMERG, ERA5, ERA5-Land), the prior precipitation products (TRMM, CMADS), and the multi-source weighted-ensemble precipitation (MSWEP). The Soil and Water Assessment Tool (SWAT) model was then applied to compare and analyze the hydrological simulation performance of four preferred products using three data fusion methods including simple model averaging, variance-based weighted averaging, and the latest quantile-based Bayesian model averaging (QBMA). The results can be summarized as follows: (1) Reanalysis products are superior to satellite-based products in terms of F1. However, the satellite-based precipitation products exhibit less BIAS and relatively higher F2, while the MSWEP has relatively high performance on both F1 and F2. (2) Among reanalysis-based precipitation products, CMADS has the best COSI value of 0.53. Although ERA5-Land shows good performance for individual parameters, the comprehensive assessment reveals that ERA5 outperforms ERA5-Land in terms of both F1 and F2. (3) IMERG and TRMM exhibit similar spatiotemporal patterns and similar F1, but IMERG is superior in F2. (4) QBMA outperformed traditional methods in F2, improving the NS coefficient of SWAT model from 0.74 to 0.85. These findings provide a useful reference for analyzing the strengths and limitations of satellite-based and reanalysis precipitation products, and also provide valuable ideas for the combined application of multi-source precipitation products in hydrological studies.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

المؤلفون: Dalcin AP; Instituto de Pesquisas Hidráulicas (IPH), Universidade Federal do Rio Grande doo Sul (UFRGS), Porto Alegre, RS, 91501-970, Brazil. Electronic address: dalcin.anap@gmail.com., Marques GF; Instituto de Pesquisas Hidráulicas (IPH), Universidade Federal do Rio Grande doo Sul (UFRGS), Porto Alegre, RS, 91501-970, Brazil., Tilmant A; Department of Civil and Water Engineering, Université Laval, Quebec City, QC G1V 0A6, Canada., Viers JH; Department of Civil and Environmental Engineering, University of California Merced, Merced, CA, USA, 95343., Medellín-Azuara J; Department of Civil and Environmental Engineering, University of California Merced, Merced, CA, USA, 95343.

المصدر: Journal of environmental management [J Environ Manage] 2024 Feb 27; Vol. 353, pp. 120231. Date of Electronic Publication: 2024 Jan 30.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

مواضيع طبية MeSH: Ecosystem* , Environmental Restoration and Remediation*, Hydrology/methods ; Power Plants ; Rivers ; Electricity

مستخلص: As environmental flow demands become better characterized, improved water allocation and reservoir operating solutions can be devised to meet them. However, significant economic trade-offs are still expected, especially in hydropower-dominated basins. This study explores the use of the electricity market as both an institutional arrangement and an alternative financing source to handle the costs of implementing environmental flows in river systems managed for hydropower benefits. A framework is proposed to identify hydropower plants with sustainable operation within the portfolio of power sources, including a cost-sharing mechanism based on the electricity market trading to manage a time-step compensation fund. The objective is to address a common limitation in the implementation of environmental flows by reducing the dependence on government funding and the necessity for new arrangements. Compensation amounts can vary depending on ecosystem restoration goals (level of flow regime restoration), hydrological conditions, and hydropower sites characteristics. The application in the Paraná River Basin, Brazil, shows basin-wide compensation requirements ranging from zero in favorable hydrological years to thousands of dollars per gigawatt-hour generated in others. Each electricity consumer's contribution to the compensation fund is determined by their share of energy consumption, resulting in values ranging from cents for residential users to thousands of dollars for industrial facilities. Finally, the compensation fund signals the economic value of externalities in energy production. For residential users, achieving varying levels of ecosystem restoration led to an electricity bill increase of less than 1 %. For larger companies, the increase ranged from less than 1 %-12 %.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Ana Paula Dalcin and Guilherme Fernandes Marques report financial support was provided by Inter-American Institute for Global Change Research and Conselho Nacional de Desenvolvimento Científico e Tecnológico. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)

المؤلفون: Xie C; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, China; Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education, Shandong, 257500, China., Cui B; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education, Shandong, 257500, China. Electronic address: cuibs@bnu.edu.cn., Xie T; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education, Shandong, 257500, China., Yu S; School of Environment Science and Engineering, Tiangong University, Tianjin, 300387, China., Ning Z; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.

المصدر: Journal of environmental management [J Environ Manage] 2024 Feb 27; Vol. 353, pp. 120215. Date of Electronic Publication: 2024 Jan 28.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

مواضيع طبية MeSH: Rivers*/chemistry , Ecosystem*, China ; Hydrology

مستخلص: Tidal channel networks, which characterize all river deltas, control the exchange of water and nutrients (hydrological connectivity) between the ocean and the delta area. Therefore, a tidal channel network in optimal conditions ensures the maintenance of the diversity and stability of the deltaic ecosystem. However, the developmental status of channel networks in the Yellow River Delta, China, has not been clearly determined. Here, we selected a typical tidal channel network in this delta that showed different spatial patterns (e.g., connectivity attributes) in the past three decades and explored its evolution using entropy as an index of connectivity. Seven scenarios were set up to determine the optimal status of the tidal channel network by optimizing its structure. The optimization effect was evaluated by comparing the connectivity attributes of the channel network before and after optimization. The results showed that the network experienced two obviously different developmental phases: an evolution before 2005 and a regression after 2005. Mann-Kendall analysis indicated that the channel network achieved dynamic stability before 2014 and became unstable thereafter. The simulations conducted to optimize the system showed that adding outlets changed the current patterns of the network' structural and functional connectivity. As the optimization proceeded, structural connectivity increased while functional connectivity decreased, and the tidal channel network tended to be dynamically stable. Our study elucidated the quantitative relationship between outlet number and stability within tidal channel networks, providing reference information that could be incorporated into future projects for the restoration and management of river deltas.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.□The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:
(Copyright © 2024 Elsevier Ltd. All rights reserved.)

المؤلفون: Ebodé VB; International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon. ebodebriso@gmail.com.; Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon. ebodebriso@gmail.com., Onana JYN; International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon., Dzana JG; Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon., Amougou JA; Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon.; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon., Batha RAS; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon., Boyomo TMS; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon., Mbeih GEN; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon.

المصدر: Environmental monitoring and assessment [Environ Monit Assess] 2024 Feb 24; Vol. 196 (3), pp. 298. Date of Electronic Publication: 2024 Feb 24.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

مواضيع طبية MeSH: Water Resources* , Environmental Monitoring*, Cameroon ; Hydrology ; Rivers ; Forests ; Climate Change ; Water

مستخلص: To anticipate disasters (drought, floods, etc.) caused by environmental forcing and reduce their impacts on its fragile economy, sub-Saharan Africa needs a good knowledge of the availability of current water resources and reliable hydroclimatic forecasts. This study has an objective to quantify the availability of water resources in the Nyong basin and predict its future evolution (2024-2050). For this, the SWAT (Soil and Water Assessment Tool) model was used. The performance of this model is satisfactory in calibration (2001-2005) and validation (2006-2010), with R ² , NSE, and KGE greater than 0.64. Biases of - 11.8% and - 13.9% in calibration and validation also attest to this good performance. In the investigated basin, infiltration (GW_RCH), evapotranspiration (ETP), surface runoff (SURQ), and water yield (WYLD) are greater in the East, probably due to more abundant rainfall in this part. The flows and sediment load (SED) are greater in the middle zone and in the Southwest of the basin, certainly because of the flat topography of this part, which corresponds to the valley floor. Two climate models (CCCma and REMO) predict a decline in water resources in this basin, and two others (HIRHAM5 and RCA4) are the opposite. However, based on a statistical study carried out over the historical period (2001-2005), the CCCma model seems the most reliable. It forecasts a drop in precipitation and runoff, which do not exceed - 19% and - 18%, respectively, whatever the emission scenario (RCP4.5 or RCP8.5). Climate variability (CV) is the only forcing whose impact is visible in the dynamics of current and future flows, due to the modest current (increase of + 102 km ² in builds and roads) and future (increase of + 114 km ² in builds and roads) changes observed in the evolution of land use and land cover (LULC). The results of this study could contribute to improving water resource management in the basin studied and the region.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

المؤلفون: Margenat H; Laboratoire écologie fonctionnelle et environnement (LEFE), Université Paul Sabatier, CNRS, Toulouse, France. Electronic address: henar.margenat-hervas@univ-tlse3.fr., Guasch H; Centre d'Estudis Avançats de Blanes, CSIC, Blanes, Spain., Le Roux G; Laboratoire écologie fonctionnelle et environnement (LEFE), Université Paul Sabatier, CNRS, Toulouse, France., Vila-Gispert A; GRECO, Institute of Aquatic Ecology, Universitat de Girona, Girona, Spain., Cornejo D; Centre d'Estudis Avançats de Blanes, CSIC, Blanes, Spain., Chouache L; Laboratoire écologie fonctionnelle et environnement (LEFE), Université Paul Sabatier, CNRS, Toulouse, France., Martí E; Centre d'Estudis Avançats de Blanes, CSIC, Blanes, Spain., Sonke JE; Géosciences Environnement Toulouse, CNRS/-IRD/Université Paul Sabatier, Toulouse, France., El Zrelli RB; SADEF, Agronomy & Environment, 30 Rue de la Station, 68700, Aspach-Le-Bas, France., Laffont L; Géosciences Environnement Toulouse, CNRS/-IRD/Université Paul Sabatier, Toulouse, France., Hansson SV; Laboratoire écologie fonctionnelle et environnement (LEFE), Université Paul Sabatier, CNRS, Toulouse, France.

المصدر: Environmental research [Environ Res] 2024 Feb 01; Vol. 242, pp. 117760. Date of Electronic Publication: 2023 Nov 26.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE

مواضيع طبية MeSH: Mercury*/analysis , Water Pollutants, Chemical*/analysis, Animals ; Humans ; Microplastics ; Plastics ; Ecosystem ; Hydrology ; Environmental Biomarkers ; Trout ; Lakes ; Human Activities ; Environmental Monitoring/methods

مستخلص: The intensification of human activities all around the globe has led to the spread of micropollutants in high-mountain freshwater environments. We therefore aimed to assess the geospatial distribution and determine the potential sources of (total-) mercury (THg) and microplastics (MPs) in mountain freshwater ecosystems. To do so, we analyzed THg and MP concentrations in brown trout, biofilm, and sediments from lotic and lentic ecosystems in the Pyrenees - all subjected to different types of human pressure. Additionally, we assessed the potential impacts of these pollutants on fish, and explored the bioindication capacity of brown trout (Salmo trutta fario) and biofilm regarding THg and MP pollution. For the first time, we measured concentrations of MPs trapped in the matrix of freshwater biofilm. Our results suggest that THg in the Pyrenees might be explained by both legacy (regional) and distant sources, in combination with environmental characteristics such as the presence of peatlands or streamwater physicochemistry, while MPs in fish are linked to recent local pollution sources such as single-use plastics. In contrast, MPs in biofilm matrix and sediments indicate a combination of distant (i.e., atmospheric deposition) and recent local pollution sources. Moreover, hydrodynamics and plastic density likely control MP distribution in rivers. Based on Fulton's condition factor, we also found that higher THg concentrations caused a negative impact on fish health (K < 1), while no impact of MPs could be seen. Therefore, we suggest that brown trout and biofilm can serve as bioindicators of atmospheric deposition of THg in high-altitude lakes and that biofilm is a reliable bioindicator to assess MP pollution in remote environments. Brown trout may also act as a bioindicator of MP pollution, but only efficiently in more polluted areas.
Competing Interests: Declaration of competing interest The authors declare no competing financial interest, nor any conflict of interest.
(Copyright © 2023 Elsevier Inc. All rights reserved.)

المؤلفون: Salah M; Irrigation and Hydraulics Department, Ain Shams University, Cairo, Egypt E-mail: mohamed_gad@eng.asu.edu.eg., El-Mostafa A; Irrigation and Hydraulics Department, Ain Shams University, Cairo, Egypt., Gad MA; Irrigation and Hydraulics Department, Ain Shams University, Cairo, Egypt.

المصدر: Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2024 Feb; Vol. 89 (4), pp. 841-858.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: IWA Publishing Country of Publication: England NLM ID: 9879497 Publication Model: Print Cited Medium: Print ISSN: 0273-1223 (Print) Linking ISSN: 02731223 NLM ISO Abbreviation: Water Sci Technol Subsets: MEDLINE

مواضيع طبية MeSH: Floods* , Rain*, Weather ; Computer Simulation ; Hydrology

مستخلص: The most important information required to successfully issue a flood warning is the quantitative precipitation forecasts (QPFs). This is important to run subsequent rainfall-runoff simulations. A rainfall-runoff simulation derives its accuracy mainly from the accuracy of the input QPFs. The dynamically based global numerical weather prediction models (NWPMs) are strong candidate sources of QPFs. A main problem is the real-time selection of which NWPM should be used to provide the QPFs for flood warning simulations. This paper develops an automated technique to solve this problem. The technique performs real-time comparisons with measured rainfall fields using a novel 'tolerant' hydrologic approach. The 'tolerant' approach performs the comparison on the basin scale and allows for timing shifts in the forecasts. This is because QPFs can be good but only a few hours early or late. Two events are used for illustration, and the proposed real-time application in flood warning is presented. The developed technique, employing the tolerant approach, could eliminate the effects of the timing shifts and, accordingly, succeeded to select the QPFs to be used. A Python package was developed for automation. The developed technique is expected to also be useful for offline assessments of historical performances of NWPMs.

المؤلفون: Alam MM; Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. Electronic address: mahfuzbrur01@gmail.com., Akter MY; Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. Electronic address: yeasmin.swapna.dm@gmail.com., Islam ARMT; Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh; Department of Development Studies, Daffodil International University, Dhaka, 1216, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd., Mallick J; Department of Civil Engineering, King Khalid University, Abha, 62529, Saudi Arabia. Electronic address: jmallick@kku.edu.sa., Kabir Z; University of Newcastle, School of Environmental and Life Sciences, Newcastle, 2258, Australia. Electronic address: kabirz85@hotmail.com., Chu R; China Meteorological Administration·Henan Key Laboratory of Agrometeorological Support and Applied Technique, Zhengzhou, 450003, China; Henan Institute of Meteorological Sciences, Henan Meteorological Bureau, Zhengzhou, 450003, China. Electronic address: ronghao_chu@163.com., Arabameri A; Department of Geomorphology, Tarbiat Modares University, Tehran, 14115-111, Iran. Electronic address: alireza.ameri91@yahoo.com., Pal SC; Department of Geography, The University of Burdwan, Bardhaman, West Bengal, 713104, India. Electronic address: geo.subodh@gmail.com., Masud MAA; School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea. Electronic address: masuderel@knu.ac.kr., Costache R; Department of Civil Engineering, Transilvania University of Brasov, 5, Turnului Str, 500152, Brasov, Romania; Danube Delta National Institute for Research and Development, 165 Babadag Street, 820112, Tulcea, Romania; National Institute of Hydrology and Water Management, București-Ploiești Road, 97E, 1st District, 013686, Bucharest, Romania; Research Institute of the University of Bucharest, 36-46 Bd. M. Kogalniceanu, 5th District, 050107, Bucharest, Romania. Electronic address: romulus.costache@icub.unibuc.ro., Senapathi V; Department of Geology, Alagappa University, Karaikudi, Tamilnadu, India. Electronic address: venkatramanansenapathi@gmail.com.

المصدر: Journal of environmental management [J Environ Manage] 2024 Feb; Vol. 351, pp. 119714. Date of Electronic Publication: 2023 Dec 05.

نوع المنشور: Review; Journal Article

بيانات الدورية: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

مواضيع طبية MeSH: Soft Computing* , Algorithms*, Bangladesh ; Hydrology ; Agriculture

مستخلص: Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant impact on efficient water resource planning and long-term management. The Penman-Monteith (PM) equation method, developed by the Food and Agriculture Organization of the United Nations (FAO), represents an advancement over earlier approaches for estimating ETo. Eto though reliable, faces limitations due to the requirement for climatological data not always available at specific locations. To address this, researchers have explored soft computing (SC) models as alternatives to conventional methods, known for their exceptional accuracy across disciplines. This critical review aims to enhance understanding of cutting-edge SC frameworks for ETo estimation, highlighting advancements in evolutionary models, hybrid and ensemble approaches, and optimization strategies. Recent applications of SC in various climatic zones in Bangladesh are evaluated, with the order of preference being ANFIS > Bi-LSTM > RT > DENFIS > SVR-PSOGWO > PSO-HFS due to their consistently high accuracy (RMSE and R ² ). This review introduces a benchmark for incorporating evolutionary computation algorithms (EC) into ETo modeling. Each subsection addresses the strengths and weaknesses of known SC models, offering valuable insights. The review serves as a valuable resource for experienced water resource engineers and hydrologists, both domestically and internationally, providing comprehensive SC modeling studies for ETo forecasting. Furthermore, it provides an improved water resources monitoring and management plans.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)

المؤلفون: Liu W; School of Water and Environment, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China., Wu J; School of Water and Environment, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China. Electronic address: wjh2005xy@126.com., Xu F; School of Water and Environment, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China., Mu D; School of Water and Environment, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China., Zhang P; School of Water and Environment, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang'an University, No. 126 Yanta Road, Xi'an, 710054, Shaanxi, China.

المصدر: Environmental research [Environ Res] 2024 Feb 01; Vol. 242, pp. 117810. Date of Electronic Publication: 2023 Dec 01.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE

مواضيع طبية MeSH: Soil* , Water Movements*, Rivers ; Water ; Hydrology/methods ; China

مستخلص: Land use/land cover (LULC) is a crucial factor that directly influences the hydrology and water resources of a watershed. In order to assess the impacts of LULC changes on river runoff in the Danjiang River source area, we analyzed the characteristics of LULC data for three time periods (2000, 2010, and 2020). The LULC changes during these periods were quantified, and three Soil and Water Assessment Tool (SWAT) models were established and combined with eight LULC scenarios to quantitatively analyze the effects of LULC changes on river runoff. The results revealed a decrease in the cropland area and an increase in the forest, grassland, and urban land areas from 2000 to 2020. Grassland, forest, and cropland collectively accounted for over 94% of the total area, and conversions among these land types were frequent. The SWAT models constructed based on the LULC data demonstrated good calibration and validation results. Based on the LULC data in three periods, the area of each LULC type changed slightly, so the simulation results were not significantly different. In the subsequent LULC scenarios, we found that the expansion of cropland, grassland, and urban areas was associated with increased river runoff, while an increase in forest area led to a decrease in river runoff. Among the various LULC types, urban land exerted the greatest influence on changes in river runoff. This study establishes three SWAT models and combines multiple LULC scenarios, which is novel and innovative. It can provide scientific basis for the rational allocation of water resources and the optimization of LULC structure in the Danjiang River source area.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Inc. All rights reserved.)

المؤلفون: Zheng Y; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: yxzheng@mail.bnu.edu.cn., Yu J; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: jingshan_bnu@hotmail.com., Wang Q; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: 201931470001@mail.bnu.edu.cn., Yao X; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: yaoxiaolei@bnu.edu.cn., Yue Q; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: 202131470002@mail.bnu.edu.cn., Xu S; College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: xu13667185978@163.com.

المصدر: Journal of environmental management [J Environ Manage] 2024 Feb; Vol. 351, pp. 119966. Date of Electronic Publication: 2024 Jan 02.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

مواضيع طبية MeSH: Phytoplankton* , Environmental Monitoring*/methods, Humans ; Hydrology ; Nitrogen/analysis ; Phosphorus/analysis ; China ; Eutrophication

مستخلص: Phytoplankton in shallow urban lakes are influenced by various environmental factors. However, the long-term coupling effects and impact pathways of these environmental variables on phytoplankton remain unclear. This is an emerging issue due to high urbanization and the resultant complex climate, lake hydrology and morphology, human interference, and water quality parameter changes. This study used Tangxun Lake, the largest urban lake in the Yangtze River Economic Belt, as an example to assess for the first time the individual contributions and coupled effects of four environmental variables and fourteen indicators on chlorophyll-a (Chla) concentrations under two scenarios from 2000 to 2019. Additionally, the influence pathways between the environmental variables and Chla concentration were quantified. The results indicated that the Chla concentration was most affected by lake hydrology and morphology, as were the total nitrogen, total phosphorus, and transparency. Especially after urbanization (2015-2019), the coupling effect of human interference, lake hydrology and morphology, and water quality parameters was strongest (18%). This is mainly due to fluctuations in the lake water level and an increase in the shape index of lake morphology, large amounts of nutrients were input, which reduced lake transparency and indirectly changed the Chla content. In addition, due to the rapid development of Wuhan city, the expansion of construction land has led to an increase in impervious surface area and a decrease in lake area. During periods of intense summer rainfall, a substantial amount of pollutants entered the lakes through surface runoff, resulting in decreased lake transparency, and elevated concentrations of nitrogen and phosphorus, indirectly increasing the Chla content. This study provides a scientific basis for aquatic ecological assessment and pollution control in urban shallow lakes.
Competing Interests: Declaration of competing interest All authors declare they have no financial interests.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)

المؤلفون: Yang F; School of Civil Engineering, Southeast University, Nanjing 210096, China; Southeast University-Monash University Joint Research Centre for Future Cities, Nanjing 210096, China; IHE-Delft Institute for Water Education, P.O. Box 3015, 2611DA Delft, the Netherlands; Department of Civil Engineering, Delft University of Technology (TU Delft), Gebouw 23, Stevinweg 1, 2628CN Delft, the Netherlands., Fu D; School of Civil Engineering, Southeast University, Nanjing 210096, China; Southeast University-Monash University Joint Research Centre for Future Cities, Nanjing 210096, China., Zevenbergen C; IHE-Delft Institute for Water Education, P.O. Box 3015, 2611DA Delft, the Netherlands; Department of Civil Engineering, Delft University of Technology (TU Delft), Gebouw 23, Stevinweg 1, 2628CN Delft, the Netherlands., Boogaard FC; Research Centre for Built Environment NoorderRuimte, Hanze University of Applied Sciences, 9747 AS Groningen, the Netherlands; Deltares, Daltonlaan 600, 3584 BK Utrecht, the Netherlands., Singh RP; School of Civil Engineering, Southeast University, Nanjing 210096, China; Southeast University-Monash University Joint Research Centre for Future Cities, Nanjing 210096, China. Electronic address: rajupsc@seu.edu.cn.

المصدر: Journal of environmental management [J Environ Manage] 2024 Feb; Vol. 351, pp. 119760. Date of Electronic Publication: 2023 Dec 12.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

مواضيع طبية MeSH: Poaceae* , Soil*, Netherlands ; Chemical Phenomena ; Hydrology

مستخلص: Saturated hydraulic conductivity (K s ) of the filler layer in grassed swales are varying in the changing environment. In most of the hydrological models, K s is assumed as constant or decrease with a clogging factor. However, the K s measured on site cannot be the input of the hydrological model directly. Therefore, in this study, an Ensemble Kalman Filter (EnKF) based approach was carried out to estimate the K s of the whole systems in two monitored grassed swales at Enschede and Utrecht, the Netherlands. The relationship between K s and possible influencing factors (antecedent dry period, temperature, rainfall, rainfall duration, total rainfall and seasonal factors) were studied and a Multivariate nonlinear function was established to optimize the hydrological model. The results revealed that the EnKF method was satisfying in the K s estimation, which showed a notable decrease after long-term operation, but revealed a recovery in summer and winter. After the addition of Multivariate nonlinear function of the K s into hydrological model, 63.8% of the predicted results were optimized among the validation events, and compared with constant K s . A sensitivity analysis revealed that the effect of each influencing factors on the K s varies depending on the type of grassed swale. However, these findings require further investigation and data support.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)