The environment has been damaged due to anthropogenic activities related to the production and consumption of cattle. The present study investigated the pollution potentials of slaughterhouse effluents on groundwater qualities in Ebonyi State Southeast Nigeria, with the specific objectives to determine the effect of slaughterhouse effluents on both microbiological, physicochemical and heavy metal parameters on the quality of groundwater. Eighty-four well water samples were taken in 2022 and 2023 from slaughterhouse locations, and a control location for the determination of physicochemical properties and microbiological contents using standard analytical methods. Datasets were analyzed using Fisher's Significance Least Difference (F-LSD) at 0.05 probability level. The study recorded higher levels of physicochemical, BOD, COD, Salinity, bacterial and fungal counts in the slaughterhouses well waters when compared to the control well water. With the exception of chloride, ammonia, copper and electrical conductivity, all water parameters were significant in both years. The result of the study also demonstrated that, with the exception of ammonia, lead, biological oxygen demand, chemical oxygen demand, salinity, salmonella spp, shigella spp, E. coli, and other coliforms, the majority of the analysed parameters were within the World Health Organisation recommended standard. In addition, as compared to the first year of study, the well water parameters were generally higher in the second year. In order to prevent groundwater pollution, the present study suggests that slaughterhouse effluents be disposed of in an environmentally responsible manner through the segregation of waste materials to prevent groundwater pollution.

Mining can greatly affect water quality in nearby areas, especially when mines are abandoned and lead to contamination from tailings and drainage. This study examines the impact of the abandoned Ze & iuml;da lead mine on water sources in the Upper Moulouya region of northwestern Morocco. We aimed to evaluate water quality, understand geochemical processes, and determine the suitability of water for drinking and irrigation. In summer 2021, 21 water samples were collected from rivers, dams, groundwater, and quarry lakes. We analyzed 18 physicochemical and metallic parameters, finding significant variations in ion concentrations. The main ions were ranked as Na+ > Mg2+ > Ca2+ > K+ and HCO3- > Cl- > SO42- > NO3-. Metal concentrations followed the order Zn > Cu > Pb > As > Cd. The Drinking Water Quality Index (DWQI) showed that 95% of the samples were not suitable for drinking. Similarly, the Irrigation Water Quality Indexes (IWQIs) indicated that quarry lakes were unsuitable for irrigation, while groundwater met acceptable criteria. Over 70% of the samples showed no significant metal contamination based on the Heavy Metal Evaluation Index (HEI) and Heavy Metal Pollution Index (HPI). The data suggest that water-rock interactions are the main drivers of hydrochemical changes, with processes like calcite, dolomite, otavite, and cerussite precipitation, as well as the weathering of minerals like halite, starkeyite, and sylvite. To protect water quality and prevent environmental damage, ongoing monitoring and appropriate measures are recommended for the Ze & iuml;da mining area.

The Tibetan Plateau is the Asia Water Tower and is pivotal for Asia and the whole world. Groundwater is essential for sustainable development in its alpine regions, yet its chemical quality increasingly limits its usability. The present research examines the hydrochemical characteristics and origins of phreatic groundwater in alpine irrigation areas. The study probes the chemical signatures, quality, and regulatory mechanisms of phreatic groundwater in a representative alpine irrigation area of the Tibetan Plateau. The findings indicate that the phreatic groundwater maintains a slightly alkaline and fresh status, with pH values ranging from 7.07 to 8.06 and Total Dissolved Solids (TDS) between 300.25 and 638.38 mg/L. The hydrochemical composition of phreatic groundwater is mainly HCO3-Ca type, with a minority of HCO3-NaCa types, closely mirroring the profile of river water. Nitrogen contaminants, including NO3-, NO2-, and NH4+, exhibit considerable concentration fluctuations within the phreatic aquifer. Approximately 9.09% of the sampled groundwaters exceed the NO2- threshold of 0.02 mg/L, and 28.57% surpass the NH4+ limit of 0.2 mg/L for potable water standards. All sampled groundwaters are below the permissible limit of NO3- (50 mg/L). Phreatic groundwater exhibits relatively good potability, as assessed by the entropy-weighted water quality index (EWQI), with 95.24% of groundwaters having an EWQI value below 100. However, the potential health risks associated with elevated NO3- levels, rather than NO2- and NH4+, merit attention when such water is consumed by minors at certain sporadic sampling locations. Phreatic groundwater does not present sodium hazards or soil permeability damage, yet salinity hazards require attention. The hydrochemical makeup of phreatic groundwater is primarily dictated by rock-water interactions, such as silicate weathering and cation exchange reactions, with occasional influences from the dissolution of evaporites and carbonates, as well as reverse cation-exchange processes. While agricultural activities have not caused a notable rise in salinity, they are the main contributors to nitrogen pollution in the study area's phreatic groundwater. Agricultural-derived nitrogen pollutants require vigilant monitoring to avert extensive deterioration of groundwater quality and to ensure the sustainable management of groundwater resources in alpine areas.

Coal occupies a dominant position in China's energy structure. However, overburden failure is the root cause of several safety and environmental issues. With the successive proposals of green mining and the dual-carbon strategy, the green development of coal-based energy has become the priority development direction. Overburden grout injection has become the preferred choice in the green mining technology system. The potential ecological health risk of heavy metal contamination in fly ash matrix soil was analyzed and evaluated in Xinyi coalmine. It is pointed out that only using fly ash as grouting material may cause irreversible harm to groundwater system. Based on the solid waste utilization and sustainable development, the close packing theory was adopted to determine that poorly graded gangue can be used as filling aggregate. Meanwhile, the passivation characteristics of loess to reduce the heavy metal in fly ash by increasing the water-stable aggregate content were elucidated. The properties and parameters of grouting materials composed of gangue, loess, and fly ash were analyzed, and a reasonable upper limit of slurry concentration was determined to be 72%. The field application indicates that the maximum surface subsidence is 473 mm, and the damage degree of buildings is within grade I, liberating 163 Mt of coal resources under the buildings. The harmless treatment of solid waste has been achieved, effectively reducing the negative external impact of coal mining. It is equivalent to saving 95.95 million yuan while promoting the green, safe, and sustainable development of coal enterprises.

Cation ratio of soil structural stability (CROSS) can replace sodium adsorption ratio (SAR) to evaluate the effects of base cations on soil structure. It is generally accepted that in saline water with the same electrical conductivity (EC), a higher CROSS reflected a greater reduction in soil infiltration rate. However, we hypothesized that once the CROSS reached a certain value, soil cracks developed, alleviating the decrease in infiltration rate. We set up an indoor one-dimensional soil column infiltration experiment, using saline water with the same EC (4.0 dS m(-1)) but varying CROSSopt (Optimal CROSS) values (100.8 (NM100), 67.3 (NKM67), 37.9 (NCM38), 27.8 (NC28), and 9.3 (mmol(c) L-1)(0.5)) (KC9), and deionized water as the control (CK). The results demonstrated that Ksat decreased as CROSSopt increased, but there was no significant difference between NC28, NCM38, and NKM67 (P > 0.05). NM had the lowest Ksat, around 50 % of CK's. There was a positive correlation between CROSSopt and soil salination rate, with NM100 having about a 30 % higher salination rate than KC9. Only KC9 reduced the crack number compared with CK, and NKM67 had the most cracks. Compared with CK, NM100, NC28, and KC9 reduced the soil crack aspect ratio, with KC9 having the smallest ratio. The anisotropy of NKM67, NCM38 and KC9 was closer to 1.0 compared with CK, while NM100 was closer to 0. Based on EC and CROSSopt, we propose categorizing water samples into three types: no permeability problem expected, severe permeability problem expected, and no severe permeability problem expected. This study provides valuable theoretical support for assessing saline water quality and protecting soil quality.

The ecosystem and economy's reliance on clean water is influenced by various factors such as geology, topography, soil types, activities, and the presence of plants and animals. The Ghana Water Company is encountering difficulties in delivering water to consumers in the Ashanti Region due to the shortage of surface water resources, leading to water rationing in the area. Furthermore, poor waste disposal practices, illegal mining, use of fertilizers, and industrial activities have resulted in surface and groundwater source damage. Therefore, there is a need to implement a reliable, simple, and timely method to assess groundwater quality. This study aims to employ GIS and RS techniques to evaluate groundwater quality and potential in the Ashanti Region, Ghana. The Water Quality Index (WQI) was estimated using pH, Total Dissolve Solid (TDS), Chloride, Total Hardness (TH), Nitrate, Temperature, Turbidity, Iron, and Electrical Conductivity (EC). The study then used the WQI distribution to conduct a groundwater potential analysis to identify suitable areas for borehole placement. Digital thematic layers and maps were developed to expose the spatial distribution of water quality parameters, enabling the identification of groundwater pollution control and remedial measures. The study estimated the region's groundwater potential using an integrated GIS and Analytical Hierarchical Process (AHP) technique, grouping under excellent, good, fair, and poor potential. The WQI in the Ashanti Region ranged from 5.208 to 134.232, with 32.252% of the study area having an excellent WQI and 60.168% of the study area having a good WQI. Poor water quality covered 7.550% of the study area. The results showed that the GIS-based AHP approach accurately mapped the spatial distribution of WQI and Groundwater Potential Zones (GWPZ). This information is helpful to planners in water resource management in groundwater exploration and future planning. Policymakers and stakeholders must ensure that groundwater sources are protected from pollution.

Urbanization and agricultural land use have led to water quality deterioration. Studies have been conducted on the relationship between landscape patterns and river water quality; however, the Wuding River Basin (WDRB), which is a complex ecosystem structure, is facing resource problems in river basins. Thus, the multi-scale effects of landscape patterns on river water quality in the WDRB must be quantified. This study explored the spatial and seasonal effects of land use distribution on river water quality. Using the data of 22 samples and land use images from the WDRB for 2022, we quantitatively described the correlation between river water quality and land use at spatial and seasonal scales. Stepwise multiple linear regression (SMLR) and redundancy analyses (RDA) were used to quantitatively screen and compare the relationships between land use structure, landscape patterns, and water quality at different spatial scales. The results showed that the sub-watershed scale is the best spatial scale model that explains the relationship between land use and water quality. With the gradual narrowing of the spatial scale range, cultivated land, grassland, and construction land had strong water quality interpretation abilities. The influence of land use type on water quality parameter variables was more distinct in rainy season than in the dry season. Therefore, in the layout of watershed management, reasonably adjusting the proportion relationship of vegetation and artificial building land in the sub-basin scale and basin scope can realize the effective control of water quality optimization.

The current water environment carrying capacity assessment method has a single assessment index and does not constrain the scope of assessment. It is not possible to adaptively assess the water environment carrying capacity layer by layer. In order to solve this problem, in this paper. we propose an adaptive assessment method of urban water environment carrying capacity based on water quality target constraints. This method constructs a new evaluation index system for water environment carrying capacity, which takes water resources and environment, water pollution control, and economic carrying capacity as the criteria, and takes water quality status, pollution discharge, technology management. economic development, and social development as the constraint target layer, and takes the total wastewater discharge, industrial water consumption, and urbanization level as the constraint index layer. Two methods of structural entropy weight and mean square error decision are introduced to realize the adaptive joint weight assignment evaluation of the reference layer and the target layer. Through experimental analysis, the assessed area has a good water environment carrying capacity and foundation, and the overall water environment carrying capacity of the study area from 2016 to 2019 was on the rise.

The global concern about water quality in coal mining operations is a significant issue. It presents detrimental water-related threats, including pollution, acid mine drainage, and habitat destruction. In this study, an attempt has been made to evaluate the water quality for domestic, irrigation and industrial purposes in the coal mining province of Mahan catchment area, with a particular focus on the impact of coal mining activities. 50 samples from pre-monsoon season of 2018, collected from dug well, tube well, mine water and river water were analyzed. The findings indicate that water in the study area exhibits acidic characteristics, with pH values below the desirable range for drinking water. Elevated electrical conductivity, total dissolved solids, sulphate, total hardness and chloride concentrations are observed, particularly around core mining regions. For irrigation suitability, the study reveals that most of the samples are suitable, based on parameters such as sodium percent-age (Na%) sodium adsorption ratio (SAR), magnesium hazard (MH), Kelly's index (KI), permea-bility index (PI), and residual sodium carbonate (RSC). However, majority of the samples collected from core mines show an elevated range of Na% (>80), SAR (>60), MH (>50), KI (>1), PI (>100), RSC (>2.5) and PS (>5) indicating potential soil permeability issues and crop damage, which restrict its suitability for agricultural use. Furthermore, the assessment of water for industrial suitability by analyzing the scaling and corrosion indices, such as the Langelier index (LI), aggressive index (AI), Ryznar index (RI), Puckorius index (PI), and corrosivity ratio (CR) highlights the presence of a corrosive tendency in majority of the water samples, particularly in the mining areas.

Analysis of environmental significance and hydrochemical characteristics of river water in mountainous regions is vital for ensuring water security. In this study, we collected a total of 164 water samples in the western region of the Altay Mountains, China, in 2021. We used principal component analysis and enrichment factor analysis to examine the chemical properties and spatiotemporal variations of major ions (including F-, Cl-, NO3-, SO42-, Li+, Na+, NH4+, K+, Mg2+, and Ca2+) present in river water, as well as to identify the factors influencing these variations. Additionally, we assessed the suitability of river water for drinking and irrigation purposes based on the total dissolved solids, soluble sodium percentage, sodium adsorption ratio, and total hardness. Results revealed that river water had an alkaline aquatic environment with a mean pH value of 8.00. The mean ion concentration was ranked as follows: Ca2+>SO42->Na+>NO3->Mg2+>K+>Cl->F->NH4+>Li+. Ca2+, SO42-, Na+, and NO3- occupied 83% of the total ion concentration. In addition, compared with other seasons, the spatial variation of the ion concentration in spring was obvious. An analysis of the sources of major ions revealed that these ions originated mainly from carbonate dissolution and silicate weathering. The recharge impact of precipitation and snowmelt merely influenced the concentration of Cl-, NO3-, SO42-, Ca2+, and Na+. Overall, river water was in pristine condition in terms of quality and was suitable for both irrigation and drinking. This study provides a scientific basis for sustainable management of water quality in rivers of the Altay Mountains.