Groundwater for Sustainable Development最新文献_第6页

Monitoring groundwater vulnerability for sustainable water resource management: A DRASTIC-based comparative assessment in a newly township area of Bangladesh 监测地下水脆弱性，促进可持续水资源管理：孟加拉国一个新城镇地区基于 DRASTIC 的比较评估

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101373

Muhammad Anwar Iqbal , Mohammed Abdus Salam , Md Nur-E-Alam , Nusrat Jahan Rubaida , Hafizur Rahman , Mohammed Faruque Uddin

Groundwater is a vital source of freshwater in our daily lives. Global and local groundwater quality are degrading due to rapid urbanization, human interference, and policy variations, which is prominent in developing nations like Bangladesh. The major purpose of this research is to analyze aquifer vulnerability in Bangladesh's north-central area (Mymensingh) using conventional and modified DRASTIC modeling. Seven influencing hydrogeological factors were employed to develop and integrate conventional DRASTIC modeling: soil media, net recharge, aquifer depth, aquifer media, topography, hydraulic conductivity, and influence of vadose zone, while land use and lineament density were used with them for modified DRASTIC modeling. The findings from four vulnerability analysis detected 29.56% (93.35 sq.km), 22.24% (83.12 sq. km), 28.52 (106.93 sq. km), and 37.6% (140.55 sq.km) of the study area as high to very high vulnerable zones for groundwater pollution. Lower groundwater depth, higher hydraulic conductivity, moderate to high groundwater recharge, dense lineaments, dense settlement, agricultural land, and inland waterbodies together might indicate a high vulnerability in the research area. The validation results based on EC and nitrate levels show that conventional (r = 0.884, p ≤ 0.01; r = 0.951, p ≤ 0.01) and modified DRASTIC models (r = 0.868, p ≤ 0.01; r = 0.840, p ≤ 0.01) have a stronger association with unconfined aquifers, than confined aquifers. Modification with both additional parameters showed more accuracy compared to the conventional one. Frequent monitoring of groundwater quality in high and moderately vulnerable zones is recommended for earlier detection and prevention of potential aquifer degradation.

地下水是我们日常生活中的重要淡水来源。由于快速城市化、人为干扰和政策变化，全球和当地的地下水质量正在恶化，这在孟加拉国等发展中国家尤为突出。本研究的主要目的是利用传统和改进的 DRASTIC 模型分析孟加拉国中北部地区（迈门辛斯）含水层的脆弱性。在开发和整合传统 DRASTIC 模型时，采用了七种影响水文地质的因素：土壤介质、净补给、含水层深度、含水层介质、地形、水力传导性和浸润带的影响，而在修正 DRASTIC 模型中则采用了土地利用和线状密度。四项脆弱性分析结果表明，研究区内分别有 29.56%（93.35 平方公里）、22.24%（83.12 平方公里）、28.52%（106.93 平方公里）和 37.6%（140.55 平方公里）的区域属于地下水污染的高脆弱区和极高脆弱区。较低的地下水埋深、较高的水力传导率、中到高的地下水补给量、密集的地形地貌、密集的居民点、农田和内陆水体共同表明，研究区域的地下水污染易受影响程度较高。基于导电率和硝酸盐含量的验证结果表明，传统模型（r = 0.884，p ≤ 0.01；r = 0.951，p ≤ 0.01）和修改后的 DRASTIC 模型（r = 0.868，p ≤ 0.01；r = 0.840，p ≤ 0.01）与非承压含水层的关联性强于承压含水层。与传统方法相比，利用这两个附加参数进行的修改显示出更高的准确性。建议经常监测高脆弱区和中脆弱区的地下水质量，以便及早发现和预防潜在的含水层退化。

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引用次数: 0

Spatio-temporal variation of meteorological, hydrological and agricultural drought vulnerability: Insights from statistical, machine learning and wavelet analysis 气象、水文和农业干旱脆弱性的时空变化：统计、机器学习和小波分析的启示

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101380

Asish Saha, Subodh Chandra Pal

The study of how agricultural drought (AD) is responsible for meteorological drought (MD) and hydrological drought (HD) is crucial for drought prevention and the socio-economic development of a nation. This is due to AD constitutes a significant threat to the nation's food productivity and security. In depth comprehension and mitigation of drought incidents depend on understanding their frequency and propagation patterns. In this study, spatio-temporal variation of three types of droughts have been assessed in the sub-tropical environment of eastern India. In this perspective, seasonal i.e., pre-monsoon, monsoon, post-monsoon, and winter MD, HD, and AD were assessed considering Standardized Precipitation Index (SPI), Standardized Water Level Index (SWI), and Standardized Soil Moisture Index (SSMI) statistical tool respectively in sub-tropical agro-climatic zone of eastern India. In addition to this, spatial drought vulnerability of MD, HD and AD was assessed using Analytic Hierarchy Process (AHP) considering suitable factors for each drought type, and overall drought vulnerability was assessed using “Random Forest (RF)” and “Artificial Neural Network (ANN)” methods. Furthermore, drought periodicity has been measured using a wavelet power spectrum analysis. The result of seasonal drought revealed that pre-monsoon season has more frequent drought occurrences than other seasons among the applied three types of droughts. The outcomes of overall drought vulnerability revealed that RF gives the optimum result followed by ANN i.e., 0.841 and 0.828, respectively, for validation purposes. The periodicity of drought ranges from 0.25 to 4 as obtained from wavelet analysis. In general, this research on how AD spreads from MD and HD is crucial for drought resilience, drought management, and food security among the stakeholders and policymakers for achieving the SDGs.

研究农业干旱（AD）如何导致气象干旱（MD）和水文干旱（HD）对于预防干旱和国家的社会经济发展至关重要。这是因为农业干旱对国家的粮食生产和安全构成重大威胁。深入理解和缓解干旱事件取决于了解其频率和传播模式。本研究评估了印度东部亚热带环境中三种类型干旱的时空变化。从这个角度出发，采用标准化降水指数 (SPI)、标准化水位指数 (SWI) 和标准化土壤水分指数 (SSMI) 统计工具，分别评估了印度东部亚热带农业气候区的季节性干旱，即季风前、季风、季风后和冬季 MD、HD 和 AD。此外，还使用层次分析法（AHP）评估了 MD、HD 和 AD 的空间干旱脆弱性，考虑了每种干旱类型的适当因素，并使用 "随机森林（RF）"和 "人工神经网络（ANN）"方法评估了总体干旱脆弱性。此外，还利用小波功率谱分析测量了干旱的周期性。季节性干旱的结果显示，在所应用的三种干旱类型中，季风前期的干旱发生频率高于其他季节。总体干旱脆弱性的结果表明，RF 的结果最佳，其次是 ANN，验证结果分别为 0.841 和 0.828。小波分析得出的干旱周期范围为 0.25 至 4。总之，这项关于旱灾如何从 MD 和 HD 传播的研究对于利益相关者和政策制定者的抗旱能力、干旱管理和粮食安全至关重要，有助于实现可持续发展目标。

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引用次数: 0

Groundwater potential mapping using machine learning approach in West Java, Indonesia 利用机器学习方法绘制印度尼西亚西爪哇的地下水潜力图

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101382

Jalu Tejo Nugroho , Anugrah Indah Lestari , Budhi Gustiandi , Parwati Sofan , Suwarsono , Indah Prasasti , Khalifah Insan Nur Rahmi , Heru Noviar , Nurwita Mustika Sari , R. Johannes Manalu , Samsul Arifin , Ahmad Taufiq

Groundwater availability is a challenge as it is utilized for vital sectors such as agricultural sector, human consumption, and industrial sector. Therefore, water resource mapping is needed to be performed to maintain water resource sustainability. This research aims to investigate groundwater potential in West Java, Indonesia using supervised machine learning (ML) methods namely Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN). Several groundwater conditioning factors were used in this research such as Topographic Wetness Index (TWI), Normalized Difference Vegetation Index (NDVI), lithology, geomorphology, land use land cover (LULC), soil type, and land system. The groundwater potential prediction model was validated using the groundwater potential map and well locations obtained from the Ministry of Energy and Mineral Resources and the Ministry of Public Works and Public Housing of Republic of Indonesia, respectively. The results show that the highest overall accuracy was achieved using RF method (0.8). We found that the land system was the highest contributor to groundwater potential mapping (25%), followed by lithology (16%), NDVI (15%), geomorphology and TWI (14% each), and LULC and soil type (8% each). More than 50% of the West Java Province region exhibited groundwater potential in very low and low classes, while the high and very high classes of groundwater potential were only less than 16%. Ground geoelectric measurements were conducted in sample areas in Bandung City and Sukabumi District, representing very high and very low groundwater potentials, respectively. This study emphasizes the critical need to implement measures that ensure the sustainability of water resources and prevent mismanagement of groundwater extraction, particularly in West Java.

地下水供应是一项挑战，因为它被用于农业部门、人类消费和工业部门等重要部门。因此，需要绘制水资源图，以保持水资源的可持续性。本研究旨在使用有监督的机器学习（ML）方法，即随机森林（RF）、支持向量机（SVM）和人工神经网络（ANN），调查印度尼西亚西爪哇的地下水潜力。本研究使用了多个地下水条件因子，如地形湿润指数（TWI）、归一化植被指数（NDVI）、岩性、地貌、土地利用土地覆盖（LULC）、土壤类型和土地系统。利用分别从印度尼西亚共和国能源和矿产资源部以及公共工程和公共住房部获得的地下水潜势图和水井位置，对地下水潜势预测模型进行了验证。结果表明，射频法的总体精度最高（0.8）。我们发现，土地系统对地下水潜势绘图的贡献率最高（25%），其次是岩性（16%）、NDVI（15%）、地貌和 TWI（各 14%）以及 LULC 和土壤类型（各 8%）。西爪哇省 50%以上地区的地下水潜势为极低和低级别，而地下水潜势为高和极高级别的地区仅占不到 16%。在万隆市和苏卡布米地区的样本区域进行了地面地电测量，这两个地区分别代表了极高和极低的地下水潜力。这项研究强调，亟需采取措施确保水资源的可持续性，防止地下水开采管理不善，尤其是在西爪哇。

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引用次数: 0

Spatial and temporal variations of dug well water quality in Korba basin, Chhattisgarh, India: Insights into hydrogeological characteristics 印度恰蒂斯加尔邦科尔巴盆地挖井水水质的时空变化：洞察水文地质特征

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101359

Khageshwar Singh Patel , Piyush Kant Pandey , Sanjay Kumar Sharma , Bharat Lal Sahu , Shobhana Ramteke , Irena Wysocka , Sema Yurdakul , Simge Varol , Pablo Martín-Ramos , Dalchand Jhariya , Mohammad Mahmudur Rahman , Prosun Bhattacharya

Comprehensive assessment of groundwater quality in mining-affected regions is crucial to sustainably manage water resources and protect public health and ecosystems. This study investigated the hydrogeochemical characteristics and water quality of 18 dug wells in the Korba basin, Chhattisgarh, India, an area heavily impacted by coal mining activities. Water samples were collected over three seasons (pre-monsoon, monsoon, and post-monsoon) and analyzed to determine physicochemical parameters, major ions, trace elements, and carbon content. Results revealed very high total dissolved solids concentrations ranging from 315 to 19,738 mg L⁻¹. Nitrate levels surpassed the Bureau of Indian Standard (BIS) limit of 45 mg L⁻¹ in over 50% of samples, reaching a maximum of 200 mg L⁻¹. Fluoride concentrations in all samples exceeded the BIS limit (1.5 mg L⁻¹), ranging from 1.5 to 15.2 mg L⁻¹. The predominant water type was Ca-Mg-HCO₃, primarily influenced by rock-water interactions. Factor analysis indicated that both geogenic and anthropogenic processes influence pollution levels. Pollutant concentrations exhibited seasonal variations, generally peaking during the monsoon period. Temporal analysis from over six years revealed increasing trends for most parameters, indicating deteriorating water quality. Based on Water Quality Index values, all samples were classified as unsuitable for drinking, while assessments of irrigation water quality using various indices indicated that 61.11% of samples were suitable for agricultural use. The findings provide data to inform decision-making and public health protection in this heavily industrialized region and emphasize the urgent need for sustainable water resource management and pollution prevention strategies in the Korba basin to align with UN Sustainable Development Goals 3 (good health and well-being) and 6 (clean water and sanitation).

全面评估受采矿影响地区的地下水质量对于可持续管理水资源、保护公众健康和生态系统至关重要。本研究调查了印度恰蒂斯加尔邦科尔巴盆地 18 口掘井的水文地质化学特征和水质，该地区受到煤矿开采活动的严重影响。在三个季节（季风前、季风和季风后）采集了水样，并对其进行了分析，以确定理化参数、主要离子、微量元素和碳含量。结果显示，总溶解固体浓度非常高，从 315 毫克/升到 19,738 毫克/升不等。超过 50% 的样本中，硝酸盐含量超过了印度标准局（BIS）规定的 45 毫克/升，最高达到 200 毫克/升。所有样本中的氟浓度都超过了印度标准局的限值（1.5 毫克/升），从 1.5 到 15.2 毫克/升不等。水的主要类型是 Ca-Mg-HCO₃，主要受岩石-水相互作用的影响。因子分析表明，地质和人为过程都会影响污染水平。污染物浓度呈现季节性变化，一般在季风时期达到峰值。六年多的时间分析显示，大多数参数呈上升趋势，表明水质正在恶化。根据水质指数值，所有样本都被归类为不适合饮用，而使用各种指数对灌溉水水质进行的评估表明，61.11% 的样本适合农业使用。研究结果为这一工业化程度较高地区的决策和公共健康保护提供了数据信息，并强调了科尔巴盆地迫切需要可持续的水资源管理和污染预防战略，以实现联合国可持续发展目标 3（良好的健康和福祉）和目标 6（清洁水和卫生设施）。

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引用次数: 0

Performance study of the bioreactor for the biodegradation of methyl orange dye by luffa immobilized Stenotrophomonas maltophilia and kinetic studies: A sustainable approach 固定化丝瓜嗜麦芽霉单胞菌生物降解甲基橙染料的生物反应器性能研究和动力学研究：一种可持续的方法

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101378

Anshuman Mishra , Dhananjay Singh , Ram Sharan Singh , Vinay Mishra , Manish Kumar , Balendu Shekher Giri

The biodegradation of methyl orange dye was examined in a biofilm reactor with luffa immobilized Stenotrophomonas maltophilia ((HE963840.1), low-cost packing material. The bacteria were isolated from the sludge collected from a common effluent treatment plant at IOCL refinery Mathura, Uttar Pradesh. The bacteria were characterized using 16rRNA. The reactor performance was studied at 30 ± 5 °C temperatures over a period of thirty days. The reactor was operated with the flow rates of 60 mL/h, 90 mL/h, 240 mL/h, 360 mL/h and 432 mL/h. The pollutant load ranges from 151.6 mg/(L-day) to 1091 mg/(L-day) and the pH of the dye solution was maintained at 7.0 ± 0.4 during the study. The maximum removal efficiency (RE) and elimination capacity (EC) at steady state were determined as 90.2 % and 658.1 mg/(L-day) respectively. The rate of utilization of the methyl orange dye is described by modified stover-kincannon model with kinetic parameters-maximum utilization rate (U_max) and saturation constant (K_B) to be 2.70 g/(L-day) and 2.34 g/(L-day) respectively. The toxicity studies confirm the non-toxic nature of the biodegraded products.

在生物膜反应器中使用低成本填料--固定化嗜麦芽糖单胞菌（HE963840.1），对甲基橙染料的生物降解进行了研究。这些细菌是从北方邦马图拉 IOCL 炼油厂普通污水处理厂收集的污泥中分离出来的。使用 16rRNA 对细菌进行了表征。在 30 ± 5 °C 的温度下对反应器的性能进行了为期 30 天的研究。反应器的流速分别为 60 mL/h、90 mL/h、240 mL/h、360 mL/h 和 432 mL/h。研究期间，污染物负荷范围为 151.6 毫克/（升-天）至 1091 毫克/（升-天），染料溶液的 pH 值保持在 7.0 ± 0.4。稳定状态下的最大去除率（RE）和消除能力（EC）分别为 90.2 % 和 658.1 毫克/（升-天）。甲基橙染料的利用率由改进的秸秆-金卡农模型描述，动力学参数--最大利用率（Umax）和饱和常数（KB）分别为 2.70 克/（升-天）和 2.34 克/（升-天）。毒性研究证实了生物降解产物的无毒性。

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引用次数: 0

Identifying the origin, recharge, and salinity sources of the Romqan saline spring, causing intense salinization of the Shirinrud River in southern Iran 确定造成伊朗南部希林鲁德河严重盐碱化的 Romqan 盐化泉的起源、补给和盐度来源

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101370

Jahanshir Mohammadzadeh-Habili , Davar Khalili

Salinization of originally freshwater rivers by saline springs is a growing threat to availability of water resources in the semiarid region of southern Iran. The problem is further complicated by persistent drought of recent years, which has resulted in prolonged periods of reduced streamflow. This issue has prompted research on possibility of finding practical techniques for flow stoppage of saline springs by investigating their recharge and salinization mechanisms as well as emergence time. To this end, the Shirinrud river in southern Iran is selected as a case study. While this river contains freshwater flow, it is intensively salinized due to annual discharge of ∼110000 tons salt from the Romqan saline spring. Study area streamflow gauges, water sampling, plus field observations and measurements have been used to provide the required data and information. Data analyses included evaluation of temperature variations of study area groundwaters, long-term salinity of the Shirinrud River, and isotopic and hydrochemical compositions of water samples. Results of thermal, isotopic, and hydrochemical tracing methods together with hydrogeological evidences in the Romqan spring site indicated that although the Romqan saline spring is recharging from a fresh groundwater flow, it becomes intensely salinized due to passage of ∼1.7 km of its recharging water pass inside the Romqan salt diapir. Furthermore, sudden drying of a freshwater spring at border of Romqan salt diapir just after the 1999 earthquake in spring site area, resulted in redirection of the fresh groundwater flow of the dried spring into the Romqan salt diapir, followed by emergence of the Romqan saline spring in the Shirinrud River bed. For flow stoppage of the Romqan saline spring, an interceptor drainage system is suggested, which would divert the spring fresh recharging groundwater flow at border of Romqan salt diapir and finally desalinize the Shirinrud River from Romqan saline spring.

在伊朗南部半干旱地区，原本是淡水的河流因盐碱泉水而盐碱化，对水资源的可用性构成日益严重的威胁。近年来的持续干旱导致河水流量长期减少，使问题变得更加复杂。这一问题促使人们研究是否有可能通过调查盐碱泉水的补给和盐碱化机制以及涌出时间，找到阻止盐碱泉水流动的实用技术。为此，我们选择了伊朗南部的 Shirinrud 河作为研究案例。虽然这条河含有淡水流量，但由于每年从 Romqan 盐化泉排出的盐分高达 11 万吨，因此盐化程度很高。研究区域的河水流量计、水样以及实地观察和测量均用于提供所需的数据和信息。数据分析包括评估研究区域地下水的温度变化、Shirinrud 河的长期盐度以及水样的同位素和水化学成分。热学、同位素和水化学追踪方法的结果以及罗姆坎泉址的水文地质证据表明，虽然罗姆坎盐泉是从淡水地下水流中补给的，但由于其补给水通道有 1.7 千米的距离在罗姆坎盐沼内流过，因此盐化程度很高。此外，1999 年地震发生后，位于罗姆坎盐沼泽边界的一个淡水泉突然干涸，导致干涸泉水的地下淡水流重新流入罗姆坎盐沼泽，随后在希林鲁德河床出现了罗姆坎盐泉。为阻止 Romqan 盐泉的流动，建议采用截流排水系统，在 Romqan 盐丘边界处分流泉水的新鲜地下水补给流，最终从 Romqan 盐泉中将白林汝德河脱盐。

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引用次数: 0

Seasonal changes in subsurface characteristics in the Lower Bengal Basin: Potential impacts on groundwater 下孟加拉盆地地下特征的季节性变化：对地下水的潜在影响

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101368

Piya Mohasin , G. Sumanth Kumar , Tanvi Arora , Sujata Ray

The risk of groundwater depletion is most significant if anthropogenic withdrawals are high in regions where the subsurface characteristics do not favor surface water infiltration and natural recharge. However, such regions have not been identified systematically in the Indo-Gangetic basin, one of the most fertile alluvial aquifers in the world. This identification may be enabled by a study of how seasonal changes in subsurface characteristics affect groundwater levels. We conducted a resistivity survey in Nanoor block of the Lower Ganges Basin, where groundwater levels have declined steeply in recent decades, to determine how subsurface characteristics controlling infiltration and groundwater quality may change seasonally. Vertical Electrical Soundings (VES) using the Schlumberger electrode array were conducted over an 8 km² area with an electrode spacing of 180-200 meters during the pre-monsoon (April 2018) and post-monsoon (October 2018) seasons. Seasonal variations in the Dar- Zarrouk parameters: longitudinal conductance, transverse resistance, and the coefficient of anisotropy were evaluated. While the average longitudinal conductance remained unchanged across seasons, it increased in certain locations in post-monsoon, indicating potential risks of contamination from the surface. The transverse resistance significantly increased in the post-monsoon, suggesting reduced groundwater potential. Additionally, in some areas, the coefficient of anisotropy indicated increased compaction of overburden layers in the post-monsoon, suggesting decreased natural recharge potential. Finally, the thickness of the unsaturated zone increased significantly from pre-monsoon to post-monsoon, which may be attributed to groundwater withdrawal for irrigation during the Kharif cropping season. These results indicate that this region, heavily reliant on groundwater for irrigation, is characterized by subsurface properties that allow limited natural recharge potential. This study may provide a framework for managing groundwater resources in developing countries where anthropogenic withdrawals are likely to have a more significant impact on groundwater levels than reduced natural recharge due to changing rainfall characteristics.

如果在地下特征不利于地表水渗透和自然补给的地区人为抽取大量地下水，地下水枯竭的风险就会最大。然而，印度洋-甘地盆地是世界上最肥沃的冲积含水层之一，该盆地尚未系统地确定此类区域。通过研究地下特征的季节性变化对地下水位的影响，可以确定这些区域。我们在近几十年来地下水位急剧下降的下恒河盆地纳诺尔区块进行了电阻率勘测，以确定控制渗透和地下水质量的地下特征如何随季节变化。在季风前（2018 年 4 月）和季风后（2018 年 10 月）季节，使用斯伦贝谢电极阵列在 8 平方公里的区域内进行了垂直电测深（VES），电极间距为 180-200 米。评估了达尔扎鲁克参数的季节性变化：纵向电导、横向电阻和各向异性系数。虽然平均纵向电导率在不同季节保持不变，但在季风后的某些地点有所增加，这表明地表存在潜在的污染风险。季风后的横向阻力明显增大，表明地下水的潜力减小。此外，在某些地区，各向异性系数显示季风后覆土层的压实度增加，表明天然补给潜力下降。最后，从季风前到季风后，非饱和带的厚度显著增加，这可能是由于在哈里夫耕种季节抽取地下水进行灌溉所致。这些结果表明，该地区严重依赖地下水灌溉，其地表下特性使得自然补给潜力有限。这项研究可为发展中国家的地下水资源管理提供一个框架，在这些国家，人为抽取地下水对地下水位的影响可能比降雨特征变化导致的天然补给减少更为显著。

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引用次数: 0

Global status, risk assessment, and knowledge gaps of microplastics in groundwater: A bibliometric analysis 地下水中微塑料的全球现状、风险评估和知识缺口：文献计量分析

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101375

Laura Sforzi , Chiara Sarti , Saul Santini , Tania Martellini , Alessandra Cincinelli

Microplastics pollution is little studied in groundwater, compared to other surface water environments. In this review, bibliometric tools were used to determine literature trends and investigate research interests to provide a comprehensive knowledge on this research topic. 215 articles, published between 2009 and 2024, were obtained from the Scopus database, and their bibliometric data were statistically analyzed using the ‘bibliometrix’ package in R, to determine annual productivity, countries, authors, sources and citations. The co-authorship map and keywords co-occurrence analysis were obtained using VOSviewer and SCImago Graphica interfaces. Samples collection, methods, abundances, and polymers type differed significantly across research. Furthermore, keywords extraction revealed that only a minor fraction (4.6 %) of the total number of articles concerned drinking water sources and ecological risk assessment. This is a critical aspect of this field of research, as the contamination of drinking water sources could lead to the ingestion of microplastics, posing serious risk to biodiversity and human health. Furthermore, the absence of common legislation significantly affects the extent of this contamination. Monitoring studies of MP pollution in groundwater are necessary to develop targeted mitigation strategies to preserve human and environmental health. Finally, the lack of standardized protocols for sampling and analysis methods is a pressing need to encourage further studies on MPs in groundwater and to enable comparison of studies.

与其他地表水环境相比，对地下水中微塑料污染的研究很少。本综述采用文献计量学工具来确定文献趋势和调查研究兴趣，以提供有关该研究课题的全面知识。从 Scopus 数据库中获取了 2009 年至 2024 年间发表的 215 篇文章，并使用 R 软件包 "bibliometrix "对这些文章的文献计量数据进行了统计分析，以确定年生产力、国家、作者、来源和引用情况。使用 VOSviewer 和 SCImago Graphica 界面获得了共同作者图谱和关键词共现分析。不同研究的样本采集、方法、丰度和聚合物类型差异显著。此外，关键词提取显示，在所有文章中，只有一小部分（4.6%）涉及饮用水源和生态风险评估。这是该研究领域的一个重要方面，因为饮用水源污染可能导致人们摄入微塑料，对生物多样性和人类健康构成严重威胁。此外，共同立法的缺失也极大地影响了这种污染的程度。有必要对地下水中的 MP 污染进行监测研究，以制定有针对性的缓解策略，保护人类和环境的健康。最后，采样和分析方法缺乏标准化规程是鼓励进一步研究地下水中 MPs 并对研究进行比较的迫切需要。

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引用次数: 0

Shallow groundwater potential mapping and evaluation for climate resilient smallholder irrigation in the Zeway-Shalla Sub-basin, Ethiopia 埃塞俄比亚 Zeway-Shalla 小流域浅层地下水潜力测绘与评估，促进具有气候复原力的小农灌溉

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101367

Taye Alemayehu Hulluka , Girma Yimer Ebrahim , Alemseged Tamiru Haile , Amare Haileslassie

引用次数: 0

Critical analysis of enhanced microbial bioremediation strategies of PAHs contaminated sites: Toxicity and techno-economic analysis 多环芳烃污染场地强化微生物生物修复战略的关键分析：毒性和技术经济分析

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-01 DOI: 10.1016/j.gsd.2024.101369

Y.P. Ragini , Jeyanthi Palanivelu , R.V. Hemavathy

Polycyclic aromatic hydrocarbons (PAHs) pose significant threats to environmental integrity and public health due to their high toxicity, persistence, and potential for bioaccumulation. In contaminated soils, PAH concentrations typically range from 1 to 100 mg/kg, with severely polluted areas reaching up to 1000 mg/kg. Conventional bioremediation techniques, limited to 30–50% efficiency, underscore the need for more effective solutions. This review highlights recent advancements in microbial bioremediation strategies, demonstrating removal efficiencies of 80–90% through the utilization of functional microorganisms, which metabolize PAHs into non-toxic compounds. Innovative techniques such as genetic engineering, microbial immobilization, and nanotechnology are shown to achieve over 90% pollutant removal. The review discusses key metabolic pathways and enzymatic processes driving PAH degradation, such as ring-hydroxylation and oxygenation. Techno-economic assessments indicate up to 40% cost savings and improved energy efficiency compared to conventional methods, facilitating scalability for large-scale environmental restoration projects. Microbial solutions for groundwater pollution, where PAH levels often exceed the maximum contaminant level (MCL) of 0.2 μg/L, are found to be highly effective in mitigating ecological risks and protecting public health. This comprehensive analysis highlights the promising role of advanced microbial bioremediation techniques in addressing PAH contamination across diverse ecosystems, including soils, sediments, and aquatic environments.

多环芳烃（PAHs）具有高毒性、持久性和生物累积潜力，对环境完整性和公众健康构成重大威胁。在受污染的土壤中，多环芳烃的浓度通常在 1 到 100 毫克/千克之间，严重污染地区可达 1000 毫克/千克。传统的生物修复技术效率仅限于 30%-50%，因此需要更有效的解决方案。本综述重点介绍了微生物生物修复策略的最新进展，通过利用功能微生物将多环芳烃代谢为无毒化合物，其去除效率高达 80-90%。基因工程、微生物固定化和纳米技术等创新技术可实现 90% 以上的污染物去除率。综述讨论了驱动多环芳烃降解的关键代谢途径和酶过程，如环羟化和氧合。技术经济评估表明，与传统方法相比，该方法可节省高达 40% 的成本并提高能源效率，从而有利于大规模环境修复项目的可扩展性。多环芳烃的含量通常超过 0.2 微克/升的最高污染水平 (MCL)，针对地下水污染的微生物解决方案在降低生态风险和保护公众健康方面非常有效。这项全面的分析凸显了先进的微生物生物修复技术在解决土壤、沉积物和水生环境等不同生态系统中多环芳烃污染问题方面的巨大作用。

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