Post-tin mining land holds promise for cultivating forage crops, with the potential to address Pb metal contamination through plant-based phytoremediation. However, the presence of heavy metals and depleted soil fertility resulting from tin mining activities may pose challenges to plant productivity and contribute to residual heavy metal accumulation. This study aims to assess the productivity and phytoremediation capacity of Pb by various grass species on reclaimed mining land. Using a randomised block design with three replications, the study was conducted over a four-year period in a post-mining area in Central Bangka Regency, Indonesia. Three grass species: Megathyrsus maximus (‘Riversdale’ and ‘Purple guinea’), Pennisetum purpureum (‘Taiwan’ and ‘Mott’), and Chrysopogon zizanioides were evaluated for forage production, quality, digestibility, and heavy metal content. It was shown that ‘Riversdale’ and ‘Purple guinea’ cultivars had relatively stable production for over four years, with the crude protein content of all grass types remaining relatively low (<6%), apart from ‘Mott’ cultivar, which had a crude protein content of 10%. The Pb concentration in the plants remained below the permitted limits for ruminants. In the post-tin mining site, ‘Riversdale’ and ‘Purple guinea’ cultivars showed potential for development. It is concluded that mined land can be replanted with forage crops for phytoremediation purposes. ‘Purple guinea’ and ‘Riversdale’ cultivars emerge as potential livestock feed sources on ex-mining land due to their four-year productive stability and low lead (Pb) concentration in their shoots, which falls below the safe threshold for cattle.

 The increasing demand for renewable energy sources has intensified interest in exploring biomass for bioenergy production. Selection of suitable feedstock is significant for the economic viability and ecological impact. Lignocellulosic biomass, derived from non-food plants materials, has emerged as an attractive substrate with low cost and no competition to food crops. Gleditsia triacanthos offers a promising alternative due to its widespread availability, adaptability to diverse climates and soil conditions, fast growth, and high biomass yield. This study investigates the potential of G. triacanthos biomass as a viable substrate for bioethanol production through a combination of pretreatment method, microbiological hydrolysis, and fermentation processes. The biological pretreatment method to enhance cellulose accessibility was analysed. Fermentation trials were carried out using Saccharomyces cerevisiae to assess ethanol yield. Eleven strains with potential cellulolytic activity to the analysed biomass were isolated. The activity index for these strains ranged from 1.09 to 4.86. Results demonstrated that G. triacanthos biomass using selected strains could be converted to fermentable sugars. The highest amount of distillate (83.7 cm3) was obtained after pretreatment and hydrolysis with the BS5 strain (36.3% v/v). These findings indicate that G. triacanthos biomass is a viable and sustainable resource for second-generation bioethanol production, contributing to the development of renewable energy technologies and the mitigation of fossil fuel dependency.

The maintenance of appropriate soil structure is critical for preventing soil degradation and mitigating nutrient losses that cause eutrophication of water bodies. An important challenge to combat eutrophication in the Baltic Sea is reducing phosphorus losses from agricultural land. Gypsum (CaSO₄∙2H₂O) has been identified as a promising soil amendment that improves soil structure and reduces phosphorus leaching. However, it has not been widely used in Poland. The article explains the importance of gypsum during the formation of a lumpy soil structure and in reducing phosphorus losses. A total of 18 samples were prepared, including three replicate samples without and with gypsum. Gypsum was added to each of the three pots based on the bulk density of the soil to correspond 4 Mg of gypsum per ha. The soil samples were analysed for total phosphorus, phosphates, available phosphorus, pH in water, KCl, and organic carbon. The study presents findings of a laboratory pot test conducted on three soil samples from Southern Poland. The pot experiment indicated a decrease in turbidity of leachates from the soil samples treated with gypsum. Gypsum application did not significantly affect soil pH and total phosphorus content. Analysis of the soil samples before and after the watering showed that the total phosphorus concentration did not change. This was due to the low share of phosphorus released relative to the total phosphorus content in the soil.  

During the appearance of the first snowfall, there is a revival of discussion on effective methods of protecting road surfaces and sidewalks against icing. In Poland and many other countries, so-called road salt, mainly sodium chloride (NaCl) with additives, is often used to lower the melting point of snow and ice. Using chemicals to protect road surfaces brings many negative side effects reported in the literature. Less frequently published research results indicate, and also alarm, that increased chloride concentrations can appear in wastewater flowing into sanitary (separate) sewers. In the case of small wastewater treatment plants, increased chloride concentrations can have a negative impact primarily on the biological processes of wastewater treatment and, after discharge from the wastewater treatment plant, on the biological life in the waters and the nearest recipient environment of the treated wastewater. The study aimed to determine the concentrations and loads of chlorides in wastewater flowing through the distribution sewer system to 4 small wastewater treatment plants located in Poland, in the Lesser Poland Province, during snowmelt and heavy rainfall in 2019–2023. The study showed a significant increase in concentrations and loads of chlorides in wastewater in February. Unit chloride load in raw sewage during snowmelt varied from 7 to 12 kg∙d^–1 per 1 km length of separate sewer network. There was also a repeated, but much lower, increase in chloride con-centrations during summer and autumn precipitation. This is when the leaching of residual salt accumulated around the road surface occurred.

The Syr Darya River’s lower reaches of floodplain geosystems face growing environmental pressures, necessitating a thorough understanding of their vulnerability on which this study focuses, emphasising the role of natural and climatic factors. The research analyses the correlations and impacts of elevation, soil density, precipitation, air temperature, and normalised difference vegetation index (NDVI) on environmental vulnerability. The results indicate a strong positive correlation between elevation, precipitation, air temperature, and environmental vulnerability, with NDVI also playing a significant role. The study employs principal components analysis to further explore these relationships and generates an integrated vulnerability map, highlighting vulnerable areas, particularly near Kyzylorda city. The map also aligns with different land cover types, emphasising the dominant influence of environmental and climatic factors, especially maximum air temperature, precipitation, and elevation, on environmental vulnerability. The research concludes that the integrated vulnerability map serves as a valuable tool for guiding environmental management and conservation strategies, enabling targeted interventions and sustainable practices in areas of high vulnerability. The study’s methodology and findings offer crucial insights for effective environmental management and conservation in floodplain geosystems, promoting informed decision-making for sustainable development in the region.

• The study aimed to analyse the seasonal variability of phosphorus concentrations and phosphorus content and the impact of catchment development of the Panew Mała River. The study presents the findings of a two-year experimental investigation (comprising 17 measurement series across 12 measurement cross-sections) into the concentration of phosphorus (P) and its soluble form, orthophosphates (PO₄²⁻). The mean phosphate concentrations were found to be low, with a range of 0.03 to 0.08 PO₄²⁻ mg∙dm⁻³. In contrast, the total phosphorus concentrations were relatively high, with a range of 0.11 to 0.43 mg∙dm⁻³ The seasonal variability was analysed based on quarterly means and half-yearly periods covering quarters II and III (spring–summer) and quarters I and IV (autumn–winter), respectively. The analysis of spatial variability was conducted using cluster analysis according to Ward’s method, with the Euclidean distance employed as a measure of distance and the results related to the utilisation of different catchment area. Due to the slight differences in the phosphate concentration, the total phosphorus concentration was analysed in detail. The analysis of variance showed no significant differences between phosphorus concentrations in certain quarters, while greater variations were obtained for half-yearly periods. The applied method of grouping the sampling sites made it possible to distinguish several groups of sampling sites, which indicate relations between the values of phosphorus concentration in the waters of Mała Panew and the type of use of the catchment area.

The aim of the study was to determine the effect of soil fertilising biopreparations, i.e. compost extract, vermicompost extract and humus extract, used against the background of NPK mineral fertilisation, on the content of manganese, iron, zinc and copper in the biomass of Lolium perenne, Festulolium braunii, and Dactylis glomerata. In the spring of 2019 and 2020, a single dose of the biological preparation was applied. During each vegetation period, the plants were mown three times. During mowing, fresh plant mass was taken from each plot, dried, ground and the content of Cu, Zc, Mn and Fe was determined using the ICP-AES method. The use of a biological preparation with the composition of an extract from compost significantly increased the content of Mn, Fe and Zn in the dry mass of the tested grass species. The grass species that accumulated the highest total content of microelements in its above-ground parts was Lolium perenne. The use of only biological preparations in the cultivation of the analysed grass species gave better production effects, for example in the form of a higher concentration of microelements in the dry mass of plants compared to objects fed only with minerals. This creates the possibility of using the tested biopreparations in organic farms. The Fe:Mn ionic ratio was too wide in relation to the standards on all experimental objects, which resulted from the excess of Fe in the plants. Only the combination of compost extract with mineral fertilisation narrowed the above relationship, but it was still too high.

Sustainable irrigation practices are critical for addressing the challenges of water scarcity and food insecurity in the face of climate change and growing global food demand. This study investigated the potential of precision irrigation (PI), deficit irrigation (DI), and drip irrigation (DRI) techniques to enhance crop productivity and water use efficiency (WUE) compared to conventional flood irrigation (CFI) in three distinct agroecological zones of Iraq. Field experiments were conducted using a randomised complete block design with wheat, maize, and rice crops. The results demonstrated that PI significantly increased crop growth parameters, grain yield, and WUE across all zones, with yield improvements of 33–38% and WUE increases of 46–51% in contrast with CFI. The DI and DRI treatments also outperformed CFI, albeit to a lesser extent. Remote sensing-derived vegetation indices strongly correlated with crop growth parameters and yield, while hydrological modelling revealed reduced evapotranspiration and surface runoff under the PI treatment. The sustainable irrigation practices resulted in substantial water savings of 20–30% compared to CFI. These findings highlight the importance of adopting efficient irrigation techniques, along with a holistic approach encompassing technological innovations, capacity building, and stakeholder engagement, to promote water- efficient agriculture and ensure food security in water-scarce regions.

Water pollution and scarcity are amongst the most pressing challenges affecting the water environment in the Gaza Strip. Agricultural activities play an important role in this issue, consuming more than 50% of the extracted water, while contributing to environmental degradation through the excessive use of pesticides and fertilisers. The grey water footprint (GWF) was quantified to evaluate pollution from crops using the Hoekstra methodology. The grey water totalled 30.63 mln m³

, with 51% attributed to vegetables, 44.5% to horticultural trees, and 4.5% to field crops between 2018 and 2022. An evaluation of the sustainability of the water footprint revealed that the assimilation capacity of water resources has been completely consumed. As a result, the Gaza Strip is classified as an unsustainable area, which is a serious violation of globally approved water quality standards. To optimise the grey water footprint, the nitrogen balance, N-leakage rate, and associated uncertainties were analysed using fractional programming, leading to the development of a model aimed at achieving optimal results. The findings show the importance of implementing this approach in the Gaza Strip, enabling policymakers and local authorities to develop a promising strategy for agricultural practices. This would promote sustainable and effective management of water resources and a safe and productive agricultural environment.

The paper presents the possibilities of energy management of residues from the cultivation of grapes of the ‘Regent’, ‘Rondo’ and ‘Seyval Blanc’ cultivars. The research was conducted in southeastern Poland in the Sandomierska Upland in 2022. The aim of the research was to demonstrate the influence of grape variety on yield capacity in relation to the extraction of biomass residues in the form of leaves. An attempt was made to identify the variety that is characterised by obtaining the most effective and average parameters, i.e. yield size and quality, leaf mass and surface area, and their impact on energy and fuel parameters. The study analysed the following crop parameters, i.e. number and mass of grapes, number and mass of berries; leaf quality parameters, i.e. mass including petioles and area. An energy assessment in Laboratory in Department of Power Engineering and Transportation was carried out by performing proximate and ultimate analysis and estimating emission factors and volumetric composition of exhaust gas. The study showed that the material with the highest energy potential was characterised by ‘Regent’, while the lowest potential was shown for ‘Rondo’. Grapevines of the ‘Rondo’ cultivar were characterised by the highest obtained biomass among the evaluated varieties. The research showed that the most effective in practical cultivation is the use of the Regent variety, which was characterised by the average parameters of the obtained yield and growth values, and the highest fuel energy potential.

The run-off coefficients provide vital hydrological data used for river discharge forecasts and flood risk management. Selecting an appropriate method to determine this coefficient is essential for accurately estimating peak discharge. This study compared the effectiveness of the Hassing, Cook, and U.S. Forest Service methods integrating GIS in estimating run-off coefficients in the Lesti River catchment area from 2013 to 2019. The findings revealed that the run-off coefficient was determined to be 0.188–0.243 using the U.S. Forest Service method, 0.194–0.213 using the Hassing method, and 0.466–0.480 using the Cook method. These results showed a rapid increase in the run-off coefficient within the Lesti River catchment area, signifying a heightened susceptibility to flooding. This is particularly concerning as the Lesti River is a primary tributary to the Brantas River. The comparison of estimated versus observed peak discharge emphasised the superiority of the runoff coefficient associated with the Hassing method over alternative methodologies when utilised as input data for peak discharge estimation. This was evident by the notable measurement error values of 11% for MAPE and 0.58 for MAE. The Hassing method emerged as the most appropriate and reliable for reflecting run-off characteristics in the Lesti River catchment area. Additionally, it proved to be the most accurate for estimating run-off coefficients in the Nakayasu process for peak discharge estimation. Consequently, applying the Hassing method offers a viable strategy for effectively mitigating flood risks in the Lesti catchment area.

Climate change significantly threatens food security and the agricultural economy, particularly under rainfed conditions. This study uses the Decision Support System for Agrotechnology Transfer (DSSAT) crop simulation model to evaluate the future suitability of growing maize and soybean in the Eastern Kansas River Basin (EKSRB) under two projected climate scenarios (RCP 4.5 and RCP 8.5) from 2006 to 2099. By comparing the baseline (1990–2019) and future climates, the yield gap percentage method is employed to quantify the discrepancy between actual and potential yields. This innovative approach integrates spatial soil variability and advanced climate projections from 18 global climate model (GCMs), enhancing the accuracy of crop suitability assessments. Results indicate yield losses ranging from 23% to 57% for maize and 20% to 36% for soybean, with maize experiencing a greater yield gap than soybean, highlighting soybean’s resilience under future climatic conditions. The study identifies critical regions within the EKSRB where adaptive strategies are most needed and provides insights for policymakers to develop targeted agricultural strategies, facilitate policy planning, and select mitigation strategies for vulnerable areas. This research underscores the necessity for adaptive agricultural practices to ensure food security and sustainability, offering a robust framework that can be adapted to similar regions globally.

State information systems play a significant role in information support of land management. Open state information systems and technologies are a modern mechanism of data collection, processing, analysis and publication for transparent, democratic, effective land resources management. Within the national Ukrainian context, land management activities are described by components presented in the article. The purpose of the study is to investigate the interrelation of different kinds of state information systems for land management. The following tasks are aimed at achieving the goal: to perform the analysis of types and forms of state information systems, to structure the information contained in the state information systems, and to research the interoperability of data of state information systems. Based on the results of the study, a structural model of effective land management is presented in the work. In the article, there is an example of the open data using regarding the state monitoring of surface water, which is open to users, as of March 2023, was used to make management decisions. The availability of complete open data regarding land and other natural resources provides the possibility of informed decision-making while ensuring effective land management in general and individual land plots in particular. The results of the study illustrate the need for further strengthening data interoperability in different state information systems.

Animal production is a major source of environmental pollutants, so it is becoming crucial to search for new methods to reduce their release while maintaining animal welfare. The aim of the study was to apply natural additives to rabbit manure in ex situ conditions to reduce the volume of released gaseous pollutants like ammonia (NH₃), methane (CH₄) and hydrogen sulphide (H₂S). The study was carried out in two stages, each with a control group and five experimental groups with additives, natural sorbents (zeolite, bentonite biochar, perlite, mixtures in various proportions of zeolite, biochar and bentonite as well as perlite and biochar) or dried plants containing saponins (Tribulus terrestris and Lysimachia nummularia). Pollutants from each group were measured continuously for one month. In stage 1, both in the case of NH₃ and CH₄, statistically significant differences were observed between the tested groups. The use of sorbent mix and Tribulus terrestris was shown to reduce the release of both NH₃ (by 80% and 83%, respectively) and CH₄ (by 17% and 25%, respectively). The greatest reduction of NH3 in stage 2 was achieved when perlite with the addition of biochar was used (56%), and CH₄ was achieved when Bacillus azotofixans sp. nov. bacteria were used (38%).

This research investigates sustainable solid waste management practices at the State Company for the Manufacture of Medicines and Medical Supplies in Samarra. Using Statistical Package for the Social Sciences (SPSS) ver. 23, key variables such as education, participation, implementation, and policy were analysed to assess their impact on environmental balance. A sample of 62 staff members was surveyed from a population of 785, ensuring reliability and representative insights. The study revealed high internal consistency and validity for the analysed variables. Sustainable management dimensions were thoroughly explored, and the average score for sustainable management was found to be 3.102, indicating a strong level of agreement among participants regarding these dimensions. Specific hypotheses related to education, participation, implementation, and policy were confirmed through robust statistical analyses. Variation analysis revealed statistically significant differences in sustainable management dimensions and their impact on environmental balance. Regression analysis demonstrated relationships between participation, implementation, policy, and environmental balance, with R² (coefficient of determination) values indicating the explanatory power of these relationships. The results underscore the critical role of education, participation, implementation, and policy in achieving environmental balance within the context of sustainable waste management practices. This study contributes valuable insights into effective strategies for promoting environmental sustainability in waste management initiatives, emphasising the importance of targeted interventions in education, participatory engagement, implementation strategies, and policy frameworks.

Whiteleg shrimp (Litopenaeus vannamei) culture with more advanced technology has been developed in the coastal regions of Southeast Asia, including Indonesia, to catch up with the increasing worldwide demand for shrimp. If left unchecked, the effluent from this high-density shrimp farming could have irreversible impacts on the receiving environment and the shrimp industry. This study was carried out to determine changes in water quality status before and post-development of the intensive whiteleg shrimp industry in the coastal area of Je’neponto, a regency located in the south of South Sulawesi Province, Indonesia. The water quality parameters were measured in situ and ex situ before the farming cycle started and after harvesting. Temperature, salinity, pH, dissolved oxygen, nitrate, nitrite, ammonia, and phosphate were measured using standardised methods. The data were statistically analysed using Kruskal–Wallis, Mann–Whitney, and principal component analysis. Water quality status was determined using the storage and retrieval approach. The potential for waste from the intensive whiteleg shrimp ponds was estimated at 7,408 kg of total nitrogen (TN) per cycle and 1,748 kg of total phosphorus (TP) per cycle. The study also found that the wastewater treatment plant pond was only about 1.45% of the total pond volume and is classified as a low-capacity wastewater treatment plant for intensive whiteleg shrimp farming. The water quality was classified in the class B category (good or slightly polluted) prior to the operation of the shrimp farm to class C (moderate or moderately polluted) afterwards.

West Java, known as one of the largest rice producers in Indonesia, boasts considerable agricultural potential waiting to be harnessed. Recognising the significance of sustainable agricultural practices, the adoption of biofertilisers emerges as a promising strategy. This environmentally friendly approach not only offers economic benefits but also contributes to the preservation of the local ecosystem. Furthermore, implementing biopesticides for pest management complements these efforts by addressing pest resistance, ultimately enhancing agricultural productivity in the region. This study intends to demonstrate advantages of the organic farming system over inorganic farming in rice yield, economy, and sustainable farming in West Java, Indonesia. A non-factorial randomised complete block design was used: T₀

= inorganic farming, T₁

= 100% dosage organic farming, T₂

= 100% dosage semi-organic farming, T₃

= 50% dosage organic farming, and T₄

= 50% dosage semi-organic farming. In conclusion, this research underscores the substantial potential benefits of biotechnology-based techniques, particularly organic farming systems (OFS). While the implementation of the OFS may not significantly impact certain plant growth parameters, the study emphasises its positive sustainability and economic feasibility. Advocating for the adoption of organic farming practices in West Java and neighbouring regions is crucial for a more sustainable and productive agricultural future.

Rice is a major food crop globally, but yields are threatened by inefficient production practices. Laser land levelling is a technology that can enhance rice cultivars through optimised field conditions and water use efficiency. This study evaluated the effects of laser versus traditional land levelling on productivity and water savings of three rice cultivars in Egypt using a two-year split-plot field experiment with three replications. The land levelling methods (laser levelling, normal levelling, no levelling) were assigned to the main plots, and three Egyptian rice cultivars (‘Sakha 108’, ‘Giza 177’, ‘Giza 178’) were grown in the sub-plots. Data was collected on crop yield parameters, grain production, water use, and water use efficiency. Results showed that laser levelling increased plant height, flag leaf area, panicles per plant, filled grains per panicle, seed setting percentage, 1000-grain weight, and grain yield compared to traditional practices. The highest yields were obtained with laser levelling of ‘Sakha 108’ (12.22–12.31 Mg∙ha^–1) and ‘Giza 178’ (12.20–12.29 Mg∙ha^–1), while recorded 9.12–10.30 Mg∙ha^–1 in control fields. Laser levelling reduced total water use by 1793 m³∙ha^–1 without reducing yields. Among cultivars, ‘Sakha 108’ had the highest water use efficiency under laser levelling. Overall, laser land levelling increased rice productivity by enhancing yield components and water productivity. Adoption of laser levelling could increase rice yields sustainably with less water usage in Egypt and similar regions. These findings demonstrate the benefits of laser levelling for enhancing rice cultivation through improved agronomic performance and water savings.

The aim of the study was to determine the extent to which created and functioning beaver dams contribute to increasing water retention in the Łąki Soleckie facility (Mała River valley). Changes in the plant cover of meadow habitats within the range of beaver dams were also determined. During the growing periods in 2020–2022, measurements of the periodic levels and water retention of the Mała River and the adjacent ditches (R-27, R-29) were closely related to the activity of beavers and precipitation. The maximum volume of water retained in the Mała riverbed in 2020–2022 was 1,300, 1,700, and 1,200 m³; the maximum retention of the R-29 ditch was 270, 210, and 200 m³, respectively. In 2021–2022, the R-27 ditch collected the most water – 270 m³and 250 m³. Starting from June 2022, due to beaver dams D2 and D3, the water level in the river and water retention have stabilised at a high level, despite slight rainfall. The activity of beavers contributed to the transformation of communities of wet habitats located on organic soils (Calthion) into communities of periodically wet habitats (Caricetum gracilis). In places where natural habitat 6510 occurs, the coverage of species of the Festuca genus has increased, and the value of the biodiversity index has increased by an average of 9%. High stability in the community of expansive species (Deschampsia caespitosa and Veronica longifolia) and their increasing cover may make it difficult to maintain the proper condition of natural habitat 6510.

The paper presents a study on the retention ditch system characterised by varying hydraulic and geometric parameters, especially longitudinal slopes as well as dimensions and cross-sectional profiles. During the pre- modernisation inventory of the site, only one concrete structure was found on the R-E ditch, with fixed, circular outlet openings. The existing weir height provided a dead retention capacity of 2% geometric capacity of all ditches in the system, and a usable capacity of 23%. It allowed to use only 25% of the full geometric capacity, without water level control.
As part of the modernisation, the existing concrete structure was removed, and replaced by seven new damming structures, including three structures on the R-E and R-E1 ditches and one on the R-E4 ditch. These were four plastic structure weirs with movable closures that allowed to regulate the water level, two permanent crest weirs and a disc regulator built into the culvert pipe. These changes reduced the dead storage volume to 1%, and increased the usable storage to 41% of the geometric storage of all ditches in the system. This ensured 42% utilisation of the geometric capacity. The increased water damming in indicated places, it was possible to use the geometric capacity of the ditches up to 65%.

An electrical resistivity tomography (ERT) investigation was conducted across four drought-prone districts in the Buriram Province, Thailand. The primary objective was to evaluate and map the potential of groundwater reservoirs as sources of water for household and agricultural purposes during the dry season. It was accomplished through the implementation of the Schlumberger array configuration. An electrical resistivity survey instrument was used to generate a 2D resistivity model of the electrical resistance profiles, or pseudo section profiles. The survey instrument included more than 50 electrodes, enabling the investigation of the profile to a depth of up to 50 m from the ground surface. The resistivity values obtained from the field data were recorded and converted or interpreted using RES2DINV software. The data were analysed by comparing them with the geological information about the site and referencing the geological borehole data as at 50 m depth from the surface. The results of the ERT survey indicated that groundwater in the arid areas of the Buriram Province can be found at shallow depths around 10–20 m from the surface and it is deposited in sedimentary and clay layers, and it has remained relatively stable over a 2-year period with the water level measured by an electric probe in the summer, winter and rainy seasons in Thailand.

This research analyses the characteristics of pollution sources and evaluates the water quality of the Bedadung River at the Perumdam Tirta Pandalungan water intake, as a component of the municipal waterworks for the Jember Regency. Utilising self-purification optimisation with linear programming and the Indonesian water quality classification, the study unfolds in a systematic fashion. The research was broken down into the following stages: (1) analysis of the characteristics and distribution of pollution sources, (2) capacity determination using mass balance and the Streeter– Phelps method, and (3) optimisation of organic pollution sources. The input data for the study comprised biochemical oxygen demand (BOD), discharge, river profile, and dissolved oxygen (DO). The pollution source identification results around the Bedadung River segment showed that 13 wastewater monitoring points were dominated by domestic activities with quality (BOD) in the range 1.01–3.18 mg∙dm^–3. This did not exceed the established domestic wastewater quality standards in Indonesia. The total pollution load capacity – BOD at the Perumdam Tirta Pandalungan water intake in the Sumbersari (T2) and Kaliwates (T3) segments was determined using self-purification optimisation and it exceeded class I designation standard for river water quality established by the Indonesian government. The maximum BOD value using self-purification optimisation in the Sumbersari (T2) segment was 11.44 mg∙dm^–3 compared to 13.45 mg∙dm^–3 in the Kaliwates (T3) segment. The maximum BOD for class I water quality is 2 mg∙dm^–3. The class I water quality standard is thus more stringent in maintaining river water quality compared to self-purification.

The current study aims to assess underground water pollution using an integrated approach that combines statistical methods such as principal component analysis (PCA) and water quality diagrams (Piper diagram, Schoeller– Berkalov diagram). A total of twenty water samples were collected from the Tiflet region in the Sebou basin and analysed for various physicochemical parameters, including temperature, pH, and heavy metal concentrations (Cu²⁺, Zn²⁺, Fe²⁺ and Pb²⁺). The average concentrations of Pb²⁺, Zn²⁺, Cu²⁺, and Fe²⁺ in the water samples were found to be 41.9, 14.8, 20.1, and 8.1 mg∙dm^–3, respectively. These concentrations indicate a significant presence of heavy metals in the groundwater samples. Therefore, it can be concluded that the groundwater in this area is heavily polluted with heavy metals and other pollutants. This finding raises concerns regarding the use of this water for irrigation and agricultural activities in the region. This suggests that these four components play a crucial role in determining the overall water quality. The distribution patterns of the metals Pb²⁺, Zn²⁺, Cu²⁺, and Fe²+ in the well water within the study area are of particular environmental concern. It is recommended to establish a monitoring network to ensure the sustainable management of water resources in order to address this issue effectively.