Water Level Research Articles

Application of the Bruun rule in evaluating the effect of water level fall on the Caspian Sea profile evolution

ABSTRACT The combined effects of climate change and anthropogenic activities induce significant sea-level alterations, changing beach morphologies. While the effects of water level rise on coastal regions have been extensively studied, the consequences caused by water level fall, particularly in enclosed water basins, have received limited attention. The Bruun rule is an empirical approach for estimating the erosion of sandy beaches in response to sea level rise. This study evaluates the efficacy of the Bruun rule and associated methods under water-level fall conditions. An extensive investigation was followed to understand Bruun’s rule application and its hypotheses in this context. Cross-shore profiles were collected from three stations: Larim, Farahabad, and Miankaleh, located along the southeastern coast of the Caspian Sea between 2013 and 2021. Results indicate that Bruun’s predictions are more reliable, considering their accuracy and applicability. Additionally, active zone bed slope emerges as the most significant factor influencing Bruun prediction, performing well with slopes between 0.013 and 0.016. Moreover, Bruun’s hypotheses were assessed by comparing the observed profiles and water levels over 7 months, 2 years, and 3 years, revealing a lag time contradicting Bruun’s hypothesis. Results further indicate that the Bruun rule overlooks the impacts of water level fluctuations.

Light Drought Stress Positively Influenced Root Morphological and Endogenous Hormones in Pinus massoniana Seedlings Inoculated with Suillus luteus

Aims An ectomycorrhizal fungus (ECMF) may enhance plant drought resistance. However, there is limited information regarding the effects of ECMFs on drought resistance in Pinus massoniana Lamb., a native species representing an afforestation pioneer tree in subtropical regions of China. Methods In this study, a pot experiment was conducted to determine the effects of ECMF Suillus luteus inoculation on the root morphology and endogenous hormones of P. massoniana, including roots, leaves, and stems, under various water treatment conditions. Four water levels (regular, light, moderate, and severe drought) and three inoculations (inoculated Suillus luteus, numbered S12 and S13, and non-ECMF-inoculated) were compared using a factorial design. Results Under drought stress, P. massoniana seedlings inoculated with S12 and S13 had significantly increased root morphology development (p < 0.05). Light drought positively influenced root development, resulting in a more than twofold increase in root length and root surface area compared to non-inoculated seedlings. Concentrations of gibberellic acid (GA), zeatin riboside (ZR), and indole-3-acetic acid (IAA) in roots, stems, and leaves of inoculated S12 and S13 plants were elevated, whereas abscisic acid (ABA) concentrations were significantly lower, compared to non-inoculated seedlings. The ABA concentrations in the roots of S12 and S13 inoculated seedlings under light drought stress were 1.5 times lower than those in non-inoculated controls. Moreover, root development was positively correlated with plant total GA, IAA, and ZR but negatively correlated with ABA. ConclusionsS. luteus can promote the root growth and development of P. massoniana seedlings, notably by regulating the balance in the concentration of endogenous hormones, thus improving the drought resistance of P. massoniana seedlings.

Water, sanitation, and hygiene service inequalities and their associated factors among urban slums and rural communities in Eastern Ethiopia

BackgroundUnderstanding the level of inadequate water, sanitation, and hygiene (WaSH) services in urban and rural settlements is crucial for prioritizing community interventions and resource allocation. However, there is a lack of evidence regarding discrepancies in WaSH services across rural and urban slum communities in Ethiopia.ObjectiveThis study aims to assess inequalities in households’ WaSH services and their associated factors among urban slums and rural communities in Eastern Ethiopia from February to April 2024.MethodsA comparative community-based cross-sectional study design was conducted, with study participants selected through stratified random sampling using proportional-to-size allocation. Data were entered into Epi Data version 3.1 and then exported to STATA version 17 for analysis. Bi-variable and multivariable logistic regression was conducted, and associations were reported as odds ratios (ORs) with 95% confidence intervals (CI), using a p-value less than 0.05 as the significance threshold.ResultA total of 278 urban and 301 rural households participated in the study, with a response rate of 94%. Key indicators showed that WaSH services were significantly better in urban areas compared to rural households. For example, 98% (95% CI: 96, 99) of urban households had access to an improved water source compared to 76% (95% CI: 71, 80) of rural households. The proportion of households with improved latrines was 44% (95% CI: 38, 50) in urban areas and only 14% (95% CI: 11, 19) in rural areas. Handwashing practices at all five critical times were reported by 52% (95% CI: 46, 58) of urban household heads, compared to 22% (95% CI: 18, 27) of rural households. Additionally, occupation (such as being a farmer, p = 0.000) and water service satisfaction (p = 0.000) were significantly associated with these key WaSH outcomes.ConclusionThe study revealed that the WaSH services in urban slums are considerably better than in rural households. Socioeconomic factors significantly influence the existing disparities in WaSH services. Stakeholders should focus on providing targeted, strategic support to communities to address the challenges in WaSH service provision.

Experimental Investigation on Climate-Control Nano-Composite Polycarbonate Sheets Enhanced with TiO2, ZnO, and Zeolite Nanoparticles for Polyhouse Use

Abstract Optimal food production is achieved when crops receive the necessary nutrients, and the desired levels of temperature, humidity, solar radiation, and sufficient water. Climate Control Agriculture, or Controlled Environment Agriculture, utilizes a technology-based approach to grow plants in a controlled environment. This study focuses on the experimental investigation of polycarbonate sheets doped with TiO2, ZnO, and zeolite nanoparticles for potential use in polyhouse applications. The thermal performance of these synthesized sheets and standard polycarbonate sheets was tested in a laboratory setting. A specialized experimental setup, consisting of two cabinets, was designed and fabricated for this purpose. Ten synthesized sheets each with thicknesses of 50 µm and 70 µm, and two commercial sheets of 70 µm thickness were tested experimentally in the laboratory for their thermal performance. Results indicated that the doping concentration of 0.3% was the most effective, while 0.1% was the least effective. Among the three doping materials, TiO2-doped sheets demonstrated superior ultra-violate light absorption capacity due to their high refractive index and band gap energy, which enhances their ability to absorb and scatter ultra-violate light. . ZnO offered stronger UV protection than the remaining three materials. However, it has a lower refractive index than TiO2. Its overall thermal performance was lower than TiO2. The desired properties of nanocomposites for use in polyhouse applications such as thermal performance in the laboratory, UV protection, mechanical strength and durability, transparency, photostability, and safety were compared based on the experimental results and the data available in the literature and was concluded that polycarbonate doped with ZnO and TiO₂ nanoparticles were the most suitable.

Sentinel-1 data reveals unprecedented reduction of open water extent due to 2023-2024 drought in the central Amazon basin

Abstract In 2023, an intense drought impacted the Amazon basin triggered by climate change and a strong El Niño event, with the Negro River reaching its lowest water level in 120 years. However, the spatiotemporal open water extent (OWE) during this drought remains unclear. This study comprehensively evaluates OWE variability in the central Amazon using Sentinel-1 synthetic aperture radar (SAR) data since 2017. Monthly OWE masks were generated through an empirical threshold classification with accuracy >95%. Overall, the central Amazon experienced a reduction of ∼8% in OWE in the 2023 dry season months (November and December) when compared to monthly-average. However, reductions of up to 80% in OWE were observed in several specific lakes. Our analysis underscores the unprecedented severity of the 2023/2024 drought on rivers and floodplains. Utilizing SAR remote sensing technologies, this study emphasizes the urgent need for proactive conservation measures to safeguard the Amazon’s ecological integrity amid escalating environmental challenges. Monthly water masks from January/2017 to September/2024 are available here: https://doi.org/10.5281/zenodo.12751783.

The Impacts of Beaver Dams on Groundwater Regime and Habitat 6510

Changes in land usage, increasing climatic uncertainty, and dynamic development of the rate of natural population growth of the Eurasian beaver will lead to increasing benefits and disadvantages from beaver activity. During three growing seasons from 2020 to 2022, four cross-sections were marked on unused sub-irrigation systems with the periodic occurrence of beaver dams, located on organic soils in parts of the facility protected by the Habitats Directive (natural habitat 6510) in Central Poland. Periodic water table measurements in wells, the beds of adjacent ditches, and the riverbed were carried out. Identification of the states and structures of plant communities was done using the botanical-weight analysis of several samples with an area of 1 m2. Beaver dams increased water levels in the river, ditches, and groundwater depth in over 78% of events in 2020–2022 years. A large impact of precipitation on the hydraulic conditions in the meadow was observed. In the studied area, since a moderately moist habitat (6510) is protected within the Natura 2000 network, phenomena increasing soil moisture, in the absence of mowing of meadows and the occurrence of expansive herbaceous vegetation that tolerates increased moisture, may lead to the disappearance of these habitats, especially in the zone near the riverbed.

Reconstructing the late Quaternary soil erosion and dust deposition dynamics in the southern Loess Plateau: Insights from Lake Luyanghu sedimentary records

Investigating the history of wind-dust deposition and soil erosion is crucial for understanding the relationship between geomorphologic formation, monsoon evolution and the current state of soil erosion on the Loess Plateau. This study utilizes a 50-m sedimentary record from Lake Luyanghu (LYH) in the southern Loess Plateau. We developed a chronological framework using optically stimulated luminescence (OSL) dating and stratigraphic comparisons. By applying end-member modeling of grain size, we identified various sediment sources and quantitatively reconstructed the dust deposition fluxes and soil erosion modulus during the late Quaternary. Additionally, we examined the patterns of sediment source evolution with environmental changes at LYH. Our findings reveal that dust constitutes an average of 32.3% of the lake sediments, with an average deposition rate of 40.2 g/cm2/ka. Notably, after the Last Glacial period, dust deposition became the dominant component of the lake sediment. During the Marine Isotope Stages (MIS) 5b, 5d, 4 and 2, enhanced dry climatic conditions, decreased vegetation cover and composition, leading to significant soil erosion. Based on the results of this research, future studies should aim to reconstruct the watershed's erosion and deposition processes throughout geological periods by integrating aspects of lake evolution, such as water levels and developmental stages.

A Study of the Drainage Capacity, Flood Risks and Mitigation Measures for Selected Areas in Guyana’s Coastal and Riverine Regions: Williamsburg- Hampshire, Kilcoy-Chesney and Mabaruma-Kumaka-Barabina

This research investigates the drainage challenges and flood risks in three areas of Guyana: Williamsburg-Hampshire, Kilcoy-Chesney, and Mabaruma-Kumaka-Barabina. These drainage areas are characterised by low-lying terrain, proximity to waterways, and inadequate drainage infrastructure. The study identifies how these factors lead to frequent and sometimes costly flooding, especially during periods of peak rainfall and high tides that prevent the opening of drainage sluices. Using rainfall and runoff data, with the analysis of drainage coefficients and discharge capacities, the study examines the existing drainage systems in these regions. It highlights the inefficiencies of undersized drainage structures, inadequate maintenance, and the growing pressure from urbanisation, which has led to the expansion of impervious surfaces, thus increasing runoff. In the case of Mabaruma-Kumaka-Barabina, under- maintained sluices, narrow bridge culverts, and low earthen dams exacerbate the area’s flood vulnerabilities. To address these issues, the study recommends several key interventions. These include upgrading drainage infrastructure by widening internal drains, replacing narrow culverts, installing additional sluices, and using modern technologies like automated pumps and self-actuated sluices. The construction of higher, vegetated embankments and raising the earthen river dams are also recommended to prevent erosion and overtopping during high tides. Monitoring water levels and rainfall data regularly is proposed to inform drainage maintenance and flood prevention efforts. The findings underscore the need for public-private partnerships to maintain drainage systems while engaging the community in flood risk mitigation. By implementing these recommendations, these regions can better manage water flow, reduce the impact of flooding, and improve the quality of life for residents, particularly as climate change continues to pose greater challenges for water management in Guyana.

Predicting land cover changes in Xuan Lien Nature Reserve, Thanh Hoa province, Vietnam

The research was carried out in Xuan Lien Nature Reserve, which is a specially protected natural area and one of the five main centers of biodiversity in Vietnam. The work is aimed at analyzing changes and predicting the state of land cover in Xuan Lien Reserve. For these purposes, Landsat-7, Landsat-5 and Landsat-8 images obtained in 2000, 2010 and 2020 were studied. Normalized Difference Vegetation Index (NDVI) method was used to isolate the vegetation cover on the land areas, and Normalized Difference Water Index (NDWI) method was used. The results of the study indicate that the vegetation on the land is transforming in Xuan Lien Reserve. The area of broadleaf forests decreased by 6.2% from 2000 to 2020, and the area of wetlands increased by 4.9% due to the construction of Cua Dat hydroelectric complex in Reserve. The model of Markov chains and cellular automata was used to predict the state of the allocated lands in the study area. The predicted results of the model have been successfully confirmed using the agreement indices. According to the results of the predicted, by 2035 the area of broadleaf forests and wetlands will increase to 86.3% and 7.4%. The change in the structure of the vegetation cover of Reserve's land is explained by the measures taken by the Vietnamese government to regulate the water level in Cua Dat reservoir and expand the forest area.

Patterns of surface water dynamics and storage changes in a basin of Bundelkhand Region, India: Implications for water management

AbstractSurface water is essential for agricultural, domestic and industrial production worldwide. Monitoring surface dynamics is crucial for sustainable ecosystems and global water resources. Importance of monitoring surface water dynamics is even more pronounced in the semi‐arid regions worldwide. An analysis of surface water extent and volume change patterns has been conducted, comparing these dynamics with alterations in precipitation patterns within a basin in Central Bundelkhand, a semi‐arid region in the Central India prone to droughts. To map the waterbodies, we leveraged Sentinel‐1 SAR data using an automated mapping framework and utilised DEM dataset to extract bathymetry using interpolation with modifications using water persistence. Analysis revealed a lag in surface water peak water level with respect to accumulated rainfall by 2–3 months. Furthermore, we have categorised the water bodies into small, medium and large by surface area and found that smaller water bodies show a higher intra‐annual variance, while medium and large water bodies show a lower intra‐annual variance. The findings suggest that smaller communities reliant on smaller water bodies are at a higher risk from climate variability in the region and a delay in attaining peak surface storage across the basin causes further challenges to water management.

Author Correction: Using ARIMA and ETS models for forecasting water level changes for sustainable environmental management

Author Correction: Using ARIMA and ETS models for forecasting water level changes for sustainable environmental management

Smart Hydroponics Innovation: Blyink IoT Application for Sustainable Food Security

The rapid development of technology has a significant impact on various fields, one of which is technology in agriculture. The use of technology in agriculture, such as the Internet of Things (IoT), aims to make it easier for farmers to monitor, manage and carry out agricultural activities. The solution for farmers to utilize technology in monitoring agricultural land to get more effective and efficient harvests so that they can increase productivity and yields is by using IoT technology. The application of IoT technology in hydroponic farming systems can be done to determine the parts per million (ppm) content in water and water levels in real-time. The method used in this community service is socialization and training for farmers in Medalkrisna Village, as well as testing using the prototyping method connected to the Blynk application. This tool allows farmers to monitor parts per million of water and water levels online and makes it easier for farmers to monitor. The managerial implications of implementing Blyink’s Internet of Things-based hydroponic system to improve food security include increasing the efficiency of resource management and optimizing agricultural production.

Using IoT for Cistern and Water Tank Level Monitoring

This paper proposes an experimental design to publish online the measurements obtained from four sensors: one sensor inside a cistern measures the level of drinking water, another sensor in a water tank monitors its level, a third sensor measures water flow or pressure from the pipes, and a fourth sensor assesses water quality. Several tank filling and emptying tests were performed. Experimental results demonstrated that if the cistern perceived that there was no water in the tank, it turned on the water pump to fill the tank to 100% of its storage capacity; while this was happening, the water level in the cistern and tank, the flow of water from the piped water, and the quality of the water could be visualized on a dashboard. In short, this proposal monitors water levels and flows through the Internet of Things. Data collected by sensors are posted online and stored in a database.

Groundwater dynamics simulation in Hodna (Algeria): aquifer modeling approach

Groundwater modeling using MODFLOW and GIS tools is crucial for understanding the complexities of groundwater dynamics in Algeria's semi-arid and arid climates. This study focuses on the quantitative assessment of the phreatic aquifer within the Hodna aquifer system over the period of 1973-2005. The study employs MODFLOW and GIS tools to model groundwater flow. Calibration and validation processes, using a trial and error technique, refine the models to understand water table behaviors and drawdown within the Hodna basin. Calibration efforts yield insights into groundwater dynamics, particularly significant drawdowns observed in cities like M’sila and Boussaada. Parameters such as hydraulic heads, piezometric levels, drainage, and hydraulic conductivity values are extracted from MODFLOW simulations. Analysis reveals a decline in groundwater volume and consistent drops in borehole water levels over the past 32 years, highlighting the challenges of comprehending recharge resources and the impact of groundwater depletion in the region. The study underscores the importance of calibrated groundwater models in managing and mitigating groundwater depletion in Algeria's Hodna basin. It elucidates predominant groundwater flow patterns towards Chott and emphasizes the need for comprehensive understanding and management strategies to sustainably manage groundwater resources in semi-arid and arid regions.

Brief communication: From modelling to reality – flood modelling gaps highlighted by a recent severe storm surge event along the German Baltic Sea coast

Abstract. In October 2023, the Baltic Sea coasts of Germany and Denmark experienced a severe storm surge, predominantly impacting the German state of Schleswig-Holstein and parts of southern Denmark. The surge led to extensive flooding in cities like Flensburg and Schleswig, causing the breaching of at least six (regional) dikes and causing over EUR 200 million in damages in Schleswig-Holstein. By chance, the peak water levels of this storm surge aligned well with those of recent hydrodynamic flood modelling studies of the region. This rare coincidence offers crucial insights for our understanding of flooding impacts, flood management, and modelling. By comparing those studies to the real-world example using extensive media reports, we aim to extract key insights and identify gaps to be tackled in order to improve flood risk modelling in the Baltic Sea region and beyond.

A probabilistic integration of LSTM and Gaussian Process Regression for uncertainty-aware reservoir water level predictions

ABSTRACT Reservoir-level forecasting while being crucial for optimal operation, is challenged by complex physical processes and changing climate conditions. Machine learning approaches offer deterministic predictions but often neglect system physics and uncertainty. This article presents a probabilistic data-driven approach combining Long Short-Term Memory (LSTM) and Gaussian Process Regression (GPR) to provide both point forecasts and uncertainty estimates. The hybrid model leverages LSTM’s fitting capabilities with GPR’s robust Bayesian frameworks for uncertainty estimation in nonlinear problems, offering accurate predictions without extensive high-fidelity modeling, and avoiding frequent training and parameter optimization. Evaluation with real reservoir data from India shows the model’s superiority over the vanilla LSTM for both univariate and multivariate scenarios. The proposed model achieved a Nash Sutcliffe efficiency of 0.97 to 0.98, a mean biased error of -0.5634 to -1.0314 for 10-day forecasts, and a continuous ranked probability score of 5.80 and 1.87 for the Bhakra and Pong reservoirs, respectively.

The Mesoscopic Damage Mechanism of Jointed Sandstone Subjected to the Action of Dry–Wet Alternating Cycles

The effect of the dry–wet cycle, characterized by periodic water level changes in the Three Gorges Reservoir, will severely degrade the bearing performance of rock formations. In order to explore the effect of the dry–wet cycle on the mesoscopic damage mechanism of jointed sandstone, a list of meso-experiments was carried out on sandstone subjected to dry–wet cycles. The pore structure, throat features and mesoscopic damage evolution of jointed sandstone with the action of the dry–wet cycle were analyzed using a-low-field nuclear magnetic resonance (NMR) technique. Subsequently, the impact on the mineral content of dry–wet cycles was studied by small angle X-ray scattering (SAXS). Based on this, the mesoscopic damage mechanism of sandstone subjected to dry–wet cycles was revealed. The results show that the effects of the drying–wetting cycle can promote the development of porous channels within sandstone, resulting in cumulative damage. Besides, with an increase in dry–wet cycles, the proportion of small pores and pore throats decreased, while the proportion of medium and large pores and pore throats increased. The combined effects of extrusion crush, tensile fracture, chemical reaction and dissolution of minerals inside the jointed sandstone contributed to the development of mesoscopic pores, resulting in the increase of porosity and permeability of rock samples under the dry–wet cycles. The results provide an important reference value for the stability evaluation of rock mass engineering under long-term dry–wet alternation.

A Floristic Study of Aquatic and Wetland Plants of Lal Nalla Dam of Samadrapur Tehsil, District Wardha, Maharashtra

The floristic diversity studywas carried out at Lal Nalla Dam. It was constructed on the Lal Nalla River, the nearest city to the dam is Samudrapur in Wardha District of Maharashtra. Extensive and repeated field surveys were carried out from January 2020 to December 2021 in the study area, covering all the seasons of the year to document the species richness of the wetland. The three sites were selected from where a comprehensive list of aquatic and wetland plants occurring in the study areais prepared. During field surveys, emphasis was given to document the type of vegetation, growth form, and associated species. Morphological characters were recorded based on fresh material in the field. The open water zone of the lake has less growth of submerged and free-floating plants. The Marginal shallow zone with a depth of 30-40 cm is inhibited by the floating-leaved-like and emergent plants. In the study area total of 41 species were investigated from three major habitats as open-water zone, marginal shallow zone, and seasonal puddles were studied and according to the sites, the growth formlike one floating-leaved,five submerged plants, twenty-nine emergent, and six other plants was identified belonging to 22 different families in which Cyperaceae was a dominant family with 6 species. The study area shows species diversity but because of seasonal water level change and grazing by domestic livestock the disturbance is seen in vegetation.

Description and In-Flight Assessment of the POSEIDON-3C Altimeter of the SWOT Mission

The Surface Water and Ocean Topography (SWOT) mission was launched on 16 December 2022 to measure water levels over both open ocean and inland waters. To achieve these objectives, the SWOT Payload contains an innovative Ka-band radar interferometer, called KaRIn, completed with a nadir altimeter called POSEIDON-3C that was switched on a month after launch and a few days before KaRIn. POSEIDON-3C measurements provide a link between large-scale phenomena and high resolution. The POSEIDON-3C design is based on POSEIDON-3B, its predecessor on board JASON-3. It is also a dual-frequency radar altimeter operating in C- and Ku-bands, but with some improvements to enhance its performance. Even though it is a Low Resolution Mode altimeter, its performance over open ocean, inland waters and coastal zones are indeed excellent. This paper first describes the POSEIDON-3C design and its modes with a focus on its new features and the Digital Elevation Model that drives its open-loop tracking mode. Then, we assess the in-flight performances of the altimeter from an instrumental point of view. For that purpose, special and routine calibrations have been realized. They show the good performance and stability of the radar. In-flight assessments thus provide confidence when it comes to ensuring excellent altimeter measurement stability throughout the mission duration.

Experimental evaluation of water surface profiles upstream and downstream of a culvert with and without an apron

Culverts are structures designed to facilitate the transfer of water beneath roadways, effectively connecting two areas within a catchment. Several critical parameters influence the design of a culvert and its surrounding environment. Among these, the flow conditions and the management of water levels at both the inlet and outlet are essential for the culvert's operation, particularly regarding its performance during flood events. This article examines the impact of variations in the longitudinal slope of the culvert and the elevation of the downstream bed—both with and without an apron—on the flow profile entering and exiting the culvert. To investigate this, a series of 80 experiments were conducted in a straight laboratory channel under steady flow conditions. The objective of these tests is to analyze the water level profiles both upstream and downstream of the culvert under various scenarios. The results indicated that increasing the culvert slope led to a rise in water level on the upstream side of the culvert. Specifically, the maximum water level upstream increased by 14 %, 56 %, and 65.1 % when the culvert slope was raised from zero to 2.5 %, 4 %, and 5.5 %, respectively. Additionally, the minimum water level upstream also increased by 19.1 %, 70.6 %, and 83.1 % under the same slope changes. The average maximum and minimum water levels for all scenarios were calculated and compared. The findings of this research will be valuable for analyzing water transfer both upstream and downstream of the culvert structure, as well as for enhancing hydraulic c alculations related to its performance.