Groundwater for Sustainable Development最新文献

In the present era of the industrial revolution, chemical-based agriculture practices, and urbanization, the environment has severe repercussions from various xenobiotics and has become a pitfall worldwide. Xenobiotic compounds such as heavy metals, dyes, polycyclic aromatic hydrocarbons (PAHs), oil spills, pharmaceuticals' active compounds (PhACs), and agrochemicals show detrimental effects on the environment through long-term persistence causing biomagnification, pollution, etc. In the last few decades, researchers have dedicated themselves to developing different physical and chemical remediation methods, although facing several drawbacks and challenges and searching for eco-friendly alternatives like bioremediation. Conventionally bioremediation utilizes biological agents such as plants, microbes, fungi, etc. To reduce environmental pollutants' effects. Although conventional bioremediation has certain limitations, SMS (spent mushroom substrate) has recently drawn great attention worldwide because of its low cost, environment-friendly nature, easy availability, and higher remediation efficiency. Scientists have used waste mushroom SMS for bioremediation purposes for various xenobiotic compounds. Therefore, the present review's foremost aim is to encompass the role of mushroom SMS in the remediation of xenobiotic compounds, techniques for studying the adsorbent properties of SMS, factors affecting the adsorption process, and the probable mechanism involved in its remediation process. This study has noteworthy findings implying that eco-friendly multi-purpose SMS has great efficacy against environmental contaminants, and its removal efficiency gets increased with combinatorial approaches like SMS amendments (biochar, etc), phytoremediation, rhizoremediation, and nanoremediation. Various mechanisms, including ion exchange, free radical reactions, enzymatic processes, microbe-mediated remediation, permeation, and chelation, may play a role in SMS-mediated groundwater and environmental contaminant remediation.

The Guarani Aquifer System (GAS) is a vast transboundary continental sedimentary basin in southern South America, encompassing sedimentary rocks and basalt flows across Uruguay, Paraguay, Argentina, and Brazil. It serves as a crucial water resource for urban supply and irrigation. This study aims to propose geophysical, geometric, and fragility models of the GAS in a critical exploitation area, utilizing geological data, geophysical logs, geomorphometry, and information from tubular wells. The models define distinct geophysical ranges for each formation and identify contacts between sedimentary and basaltic rocks. Integration of horizontal and vertical spatial distributions of geophysical and geological data forms a 3D model, revealing basaltic flows and intrusions distribution in fragile areas between formations, and potentially connecting aquifer layers. Natural fragility zones, characterized by high fracture densities, are observed in the central-east region, while outcrop and recharge areas of the main aquifer hydrofacies are found in the north. The 3D model highlights similarities between the topography of the Botucatu Formation (KJb – eolian sandstones) and the potentiometry of GAS at local scales, and overexploitation zones in Ribeirão Preto's city center. The assessment prioritizes areas at risk and conservation strategies for sedimentary aquifers, emphasizing interactions between surface and groundwater and addressing issues of overexploitation, identifying high-impact risks on GAS hydrodynamics and water quality.

Natural hazards specially oil spillage disturb the ecology, which makes them a concern for people all over the world. Contamination with oil poses a major hazard to both human health and marine ecosystems. To address the environmental issues caused by oil pollution, this research looks at several methods of oil recovery and biodegradation. A more thorough and focused approach to oil spill clean-up can be accomplished by classifying these techniques according to the particular problems they seek to tackle rather than technical factors. Due to its ease of use and great effectiveness, sorption is an extensively utilized technique. The selection of sorbents is influenced by a number of variables, including their affordability and safety of usage. The development of effective sorbents such as metal organic framework (MOF), etc. To help remove oil from water and other contaminated sources has been the focus of this study. In order to satisfy the public's rising desire for sustainable practices, the assessment also looks at how oil sorption technologies might employ natural, environmentally acceptable materials. The findings emphasize how crucial sorbent modification methods are to improving oil recovery process efficiency and minimizing environmental damage. The most recent advancements in the realm of material recovery and clean-up after oil spills are covered in this review. The results of this study have important significance for mitigating the effects of oil spills on aquatic ecosystems and safeguarding water supplies using innovative and environment friendly solutions for future generations.

Groundwater vulnerability assessment, as a key tool, is essential for assisting decision-makers and experts in identifying highly vulnerable areas and devising efficient pollution reduction strategies. The widely utilized DRASTIC model for assessing groundwater vulnerability incorporates seven key geological and hydrological parameters. To address the limitations of the DRASTIC model, this study proposes a novel three-step modification by introducing an extra parameter, adjusting default weights, and utilizing alternative aggregation methods. These modifications aim to capture the unique characteristics of a specific region more accurately. The first step involves incorporating the Land Use (LU) parameter as the eighth parameter in the DRASTIC model, resulting in an updated 8-parameter model. The second step involves integrating the Analytic Hierarchy Process (AHP) to adjust parameter weights based on input from local experts. Lastly, while the Weighted Linear Combination (WLC) technique has conventionally been used for aggregating layers in the GIS environment, this study suggests employing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Furthermore, to consider decision makers' risk attitudes, the Ordered Weighted Averaging (OWA) method is utilized.

To assess its effectiveness, the modified model was applied to Khoy County in Iran. Then, the results were compared to the DRASTIC model using correlation analysis based on nitrate concentrations. The results indicated a correlation coefficient of 0.67 for the modified model compared to 0.47 for the DRASTIC model. This suggests that the proposed modified model is an enhanced and highly effective approach for evaluating groundwater vulnerability.

Establishing suitable groundwater resource areas is a challenging endeavour across the globe. However, novel spatial technologies have emerged as valuable tools for the effective strategy, management, and assessment of groundwater resources, especially in data-scarce emerging economies. The current study used spatial decision support systems (SDSS) for evaluating and defining groundwater potential sites (GPSs) in Nigeria's Edo central region to promote sustainable governance of groundwater. By merging multiple groundwater contributing theme layers, a leading-edge information-based multiparametric analytical hierarchy process (AHP) was applied to define the groundwater prospective areas. By systematically assigning weights to every subject-specific layer and feature, the subject matter layers of geology, geomorphology, drainage density, slope, soil properties, landuse/landcover, rainfall distribution, hydraulic conductivity, transmissivity, curvature, proximity to surface water bodies, and elevation were generated and used for groundwater potential map generation. Each thematic layer's weights were allocated and adjusted depending on their qualities and relevance to groundwater recharge. The multicollinearity (MC) analysis was used to evaluate the model's predictive capacity. Finally, groundwater potential sites were created by integrating the theme-specific maps with the weighted total overlay computation tool. The study area contained three separate groundwater potential sites: low, moderate, and high. According to the regional geographic distribution, the largest portion of the area (65%) fell within the moderately significant groundwater potential geographical area. The high and low GPSs, which both have a low curvature and a valley plain characteristic, account for 25% and 10%, respectively, of the entire area. The outcomes were contrasted with the yield of groundwater from boreholes gathered in the study region. The validation analysis found an acceptable 88.89% similarity. This highlights the potential for the groundwater map's significant prediction. Therefore, the applied approach is a viable choice for the advancement of groundwater in the central Edo region and with comparable geology all over the globe.

Groundwater sustainability is a pressing issue in many regions, especially in semi-arid and drought-prone areas, impacting progress towards achieving the Sustainable Development Goals (SDGs). This study addresses this challenge by assessing Managed Aquifer Recharge (MAR) potential in India's Dwarkeswar River basin. The study employs a systematic approach integrating watershed modeling using the Soil and Water Assessment Tool (SWAT), multi-criteria decision analysis (MCDA), and constraint mapping techniques. Initially, the SWAT model evaluates water availability for MAR, followed by an MCDA-AHP method to identify optimal sites based on ten spatial parameters encompassing technical, economic, and environmental criteria. Furthermore, the study employs constraint mapping to refine site suitability assessments and sensitivity analysis to gauge the robustness of the results. The SWAT analysis revealed substantial variation in runoff volumes among the eight sub-basins, ranging from 8.34 m³/s to 136.28 m³/s, indicating significant availability of source water for MAR. Results from the MCDA followed by constraint mapping indicate that 51.57% of the study area is unsuitable for MAR, while 0.12%, 34.59%, and 13.72% are classified as low, moderate, and suitable zones, respectively. Sensitivity analysis reveals that geological attributes, soil thickness, runoff, and slope significantly influence the suitability scores, underscoring their impact on MAR feasibility. Validation with major pond locations confirmed the accuracy of this integrated approach in identifying suitable sites for MAR initiatives. This emphasizes the importance of holistic groundwater management strategies for sustainable water resource utilization and achieving the SDGs.

Water scarcity in the Mediterranean region requires the adoption of new and optimized water resources management tools that allow a progressive climate change adaptation, being one of the main drivers for the employment of alternative water storage measures such as Managed Aquifer Recharge (MAR). To promote the implementation of these measures, this study evaluates the application of a MAR feasibility index mapping to southern Portugal, employing Multi-Criteria Decision Analysis (MCDA). A participatory approach – developed within the AGREEMAR project – aims for the characterization of the intrinsic site suitability, water availability and demand, where the stakeholder inputs are embedded in the weighting computation process.

The results obtained demonstrate prevalent moderate MAR feasibility across the entire region (78% of the area) with an increased percentage of the area corresponding to high MAR feasibility (22%) strongly related to highly suitable geological features. A comparative analysis with the Analytical Hierarchical Process (AHP) showed minor high MAR feasibility areas (7%), and feasibility class transitions between the directly above or below classes.

A sensitivity analysis, conducted based on a one-at-a-time (OAT) variation of the criteria weights, assessed the impact of the weighting methods on feasibility class changes. For the AGREEMAR method, changes in the weight of 10 of the 28 considered criteria resulted in negligible changes when compared to the original feasibility map, while for AHP 3 out of 28 produced minor changes. The remaining criteria showed important modifications in the feasibility maps, which underlined AGREEMAR method weights provided higher stability in the results.

The study provides information about a MAR site selection process procedures, allowing replication. The dissemination of the results is expected to raise awareness of MAR among stakeholders and support scientifically-based water resources management decision-making.

Hydrological models are valuable tools that support the evaluation and management of water resources. Among catchment scale models, SWAT has been widely used, and a revision of this model, SWAT+, was recently released. Groundwater simulation has been pointed out as one of the main weaknesses of these models, and despite the introduction of some improvements in the new version, an accurate simulation of groundwater flow is still a pending task. One of the most common issues is the inability of the model to maintain baseflow during long dry periods. Baseflow is common in aquifer areas and has great relevance for water quality and ecosystems. Although some authors proposed different solutions to its inaccurate simulation (e.g., editing aquifers configuration, coupling with other models, etc.) this work aimed to determine if a realistic groundwater simulation is possible using SWAT+ and determine the reasons why this is not being achieved. For this purpose, a groundwater dominated catchment was modelled, and different calibration approaches were carried out and compared, including strategies such as hard calibration, soft calibration, or sensitivity analysis. A comprehensive analysis of model outputs was crucial to achieve a model with a realistic simulation of groundwater contribution to the streamflow, both in amount and timing. The properly parameterization of some parameters (perco, latq_co, lat_ttime, and especially alpha) was key. Limitations of hard calibration were evidenced, such as the necessity of complementing this strategy with an evaluation of the simulation of hydrological processes. For those parameters governing streamflow components simulation, a detailed description of its functioning is included in this manuscript, together with some guidelines to achieve a statistically accurate model with a realistic groundwater flow simulation. Follow these recommendations will be useful for SWAT users, and will serve to create more reliable models.

Groundwater is an important resource for the Arabian Peninsula Region. The population increase, rise in agricultural activities, and Gulf Cooperation Council (GCC) countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) inclination towards economic diversification and tourism promotion have heightened the freshwater demand. As a result of climate change and varying weather patterns, the situation has become more complicated. Due to arid conditions, recharge is mostly less than withdrawal which consequently results in underground water level decline over time. In the research, we have used Gravity Recovery and Climate Experiment (GRACE/GRACE-FO) MASCON solutions, Global Land Data Assimilation System (GLDAS) soil moisture, and the Integrated Multi-satellite Retrievals for Global Precipitation Mission (IMERG) rainfall data to observe the Equivalent Water Thickness (EWT), and rainfall patterns in this region for the past two decades (2002–2023). The results indicate that in Saudi Arabia the water level is declining nearly at a linear rate and the linear regression model fits well with the data (R² value, the coefficient of determination, for different cities of Saudi Arabia is ≥ 0.94). In the Al Jouf Area, the water decline is the highest at −1.69 cm/year which is 43% greater than the previous calculations. The lowest decline rate is in Sanaa (Yemen) which is −0.13 cm/year. Furthermore, all the other studied locations show a groundwater declining trend. In Saudi Arabia's Makkah, Madina, Riyadh, and Damam the reduction rate is −0.36, −0.48, −0.72, and −0.48 (cm/year) respectively. Kuwait, UAE's Dubai, and Al Ain show a similar groundwater reduction rate of −0.19 cm/year. In Oman's Masqat, the groundwater decline rate is −0.22 cm/year. Also, in the recent data, one can see the higher seasonal amplitudes that are indicative of greater fluctuations in EWT data in recent times. If water mining continues at the same pace, this important resource can become a rare commodity. Limited water supply can likely become a limiting factor for further social, agricultural, and industrial development. That's why major reviews and shifts are necessary in the current policies related to water resource management and conservation.

Groundwater pollution has become an escalating global issue, with excessive application of phosphorus (P) fertilizers emerging as a major contaminant. The overuse of chemical phosphatic fertilizers has intensified the problem of P infiltration into water table, compromising soil health and exacerbating groundwater pollution. This underscores the urgent need to explore sustainable alternatives to chemical fertilizers to safeguard groundwater and soil health. The enzyme alkaline phosphatase (ALP) plays important role in efficient P-solubilization achieved by Trichoderma sp. a soil fungus known for its gradual transportation of P from fixed sources to plants. This mechanism not only minimizes P leaching into groundwater but also reduces dependency on fertilizers. To investigate the active role of fungal ALP in P-solubilization, amino acid/gene sequences of enzyme from 20 Trichoderma strains were retrieved from NCBI. Molecular docking revealed strong catalytic interaction (−6.93 kcal/mol) between complex-bound P and the ALP, involving two hydrogen bonds and key residues Gln286 and Arg340. To confirm ALP-mediated P-solubilization, 12 newly isolated Trichoderma spp., were assessed in vitro using media amended with tri-calcium phosphate (TCP), zinc phosphate (Zn₃(PO₄)₂), or ferric phosphate (FePO₄) as sole phosphorus source. Trichoderma lixii ORT2 demonstrated highest P-solubilization, yielding 547.40 μg/mL phosphate from TCP, 538.6 μg/mL from Zn₃(PO₄)₂, and 423.45 μg/mL from FePO_4, in 72 h. Solubilization was accompanied by simultaneous expression of ALP and siderophore in the same aliquot. TCP induced maximum expression of ALP (9.47 U/mL), followed by Zn₃(PO₄)₂ and FePO₄ showing 8.65 and 5.64 U/mL, respectively, in culture filtrates at 72h, that was further confirmed through proteomic analysis. FESEM micrographs confirmed P binding and biosorption into fungal mycelia as P-globules. Furthermore, Cicer arietinum inoculated with Trichoderma lixii ORT2 bio-formulations showed significant enhancement in growth parameters in TCP amended soil as compared to di-ammonium phosphate (DAP). The integrated approach of microbial P-solubilization and further utilization by plants for their growth as major nutrients merges microbial and phyto-remediation to address sustainability issues related to the management of soil health and phosphorus contamination. This strategy aims to substitute chemical phosphatic fertilizers, which are significant contributors to rising dissolved total phosphorus (DTP) in groundwater. This approach directly supports SDG 6 by reducing P leaching and improving groundwater quality, ensuring sustainable water and sanitation management for all.