Sustainable Water Management Research Articles

Evaluation of potential human health risks associated with Li and their relationship with Na, K, Mg, and Ca in Romania's nationwide drinking water.

Increasing lithium (Li) demand worldwide due to its properties and role in renewable energy will raise water reservoir pollution and side effects on human health. Divergent results regarding Li concentration in water and affective disorders are found in the literature, which is why regional reports are expected. The present study evaluated the occurrence and human health risks resulting from oral exposure, respectively, and the relationship between alkali metals (Li, Na, and K) and minerals (Mg, Ca) in balanced purified water (bottled) and spring water. The ICP-MS technique was used to measure a national database with 53 bottled and 42 spring water samples randomly selected. One-way ANOVA, Pearson correlation, and HCA analysis were applied to assess the possible relationship between metals in water. The possible side effects of Li poisoning of water resources on human health have been evaluated using the Estimated Daily Intake Index (EDI) and Total Hazard Quotient (THQ). The toxic metals (As, Hg, and Pb) were measured, and the results indicate values above the detection limit of 22.3% of samples in the case of lead but not exceeding the safety limits. Depending on the water sources, such as bottled and spring water, the Li concentration varied between 0.06-1,557 and 0.09-984% μg/L. We found a strong positive correlation between Li and Na and Mg, varying between bottled and spring waters (p% <%0.001). Li exceeded the limit set by the Health-Based Screening Level (HBSL) in 41.37 and 19% of bottled and spring water samples. The oral reference doses (p-RfDs) for the noncancer assessment of daily oral exposure effects for a human lifetime exceeded threshold values. The THQ index shows potential adverse health effects, requiring further investigations and remedial actions in 27.58% of approved bottled waters and 2.38% of spring waters. We can conclude that water is safe based on the Li concentration found in drinking water and supported by a gap in strict regulations regarding human Li ingestion. The present study can serve decision-makers and represent a starting database with metals of interest for further clinical studies. Decision-makers can also use it to find solutions for sustainable management of clean and safe drinking water.

Climate‐resilient irrigation: Essential changes to balance food production and water security on a livable planet

AbstractClimate‐resilient irrigation is a necessity for sustainable development, aligning with broader goals of poverty alleviation, food security and environmental stewardship. By embracing adaptive strategies and fostering collaborative efforts, communities can navigate the challenges posed by a changing climate, safeguarding livelihoods and ecosystems. Climate‐resilient irrigation can improve coping measures and build resilience for communities through pathways which help improve agriculture. The relationship between agriculture, irrigation, water resources and climate change calls for an evolution of traditional irrigation practices towards climate‐resilient irrigation approaches, such as farmer‐led irrigation development; innovation and modernization to ensure the long‐term viability and functionality of irrigation systems and infrastructure; financing mechanisms to support the transition towards climate resilience; partnerships between governments, international organizations and the private sector to mobilize resources effectively; and efficient service delivery mechanisms, promoting equitable access and effective management of water resources. Emphasizing the need climate‐resilient irrigation to balance food production and water security, this essay advocates a paradigm shift towards sustainable water management, ensuring resilience in the face of climate uncertainties while safeguarding agricultural productivity and environmental integrity for a livable planet.

Assessment and enhancement of community water supply system sustainability: A dual framework approach

Population growth, pollution, and urbanization strain water sustainability, leading to the premature failure of community-managed water systems globally. This underscores the formidable task of precisely defining and quantifying sustainability within these community contexts. Based on the “You can't manage what you can't measure” adage, this study developed dual frameworks at community scale to assess and enhance the water supply system's sustainability. The assessment framework includes dimensions, indicators, and variables that convene into a Water Sustainability Index (WSI). WSI ranges from 1 to 4 where a score below 1.5 indicates poor water sustainability, while a score exceeding 3.5 signifies excellent sustainability. Likewise, the enhancement framework consists of dimensions, goals, and strategies. These frameworks relied on three specific dimensions, efficiency, resiliency, and community support. The identification of indicators, variables, and goals was based on SMART criteria. While the dimensions, indicators and goals are to remain consistent regardless of study areas, variables and strategies are site-specific and their selection needs to be based on each community's situations and data availability. The assessment framework suggested that the Asian Institute of Technology (AIT) community has achieved fair water sustainability status with a score of 2.25. The strategic framework yielded several recommendations aimed at enhancing the sustainability of the water supply system at the AIT. The study's outcomes offer tools to evaluate the current situation of sustainability and assists local community authorities in devising solutions to enhance sustainability in community supply systems. Looking ahead, these frameworks lay the groundwork for future investigations, to explore localized, community-centric strategies for sustainable water management.

Analytical derivation of optimal irrigation water depth for efficient irrigation scheduling.

Optimal irrigation water depth is a crucial parameter in irrigation engineering, often referred to as root zone depth. It is typically assumed to lie between 1 and 1.5m below the ground surface, depending on the crop and soil types as well as the practitioner's skill and experience. This approach can lead to inefficient irrigation scheduling. Coupling Richards' equation with the Soil Conservation Service Curve Number (SCS-CN) concept and using the three-phase diagram of soil column widely used in geotechnical engineering, this paper suggests an analytical expression for optimal irrigation water depth providing the maximum storage capacity of a soil depending on its hydraulic/storage properties. The results for winter wheat crop in different hydrologic soil groups show that the use of the proposed concept can lead to savings of 71.79% and 57.69% of irrigation water in sandy soils (HSG-A) compared to that used in traditional irrigation considering lump-sum 1.5m and 1m optimal irrigation water depths, respectively. In the case of silty loam soils (HSG-C), these savings can assume 52.42% and 28.62%, respectively. The proposed relation can also be of great help in volumetric assessment of field capacity, moisture content, maximum water storage capacity (of different agricultural soils), and avoiding the issue of waterlogging that may arise from over-irrigation and thus is useful in efficient irrigation scheduling as well as in sustainable agricultural water management.

Conjunctive use in water resource management: current trends and future directions

ABSTRACT Water scarcity and the nееd for sustainable water management practices are pressing global challenges. Conjunctive use, a united management of both surface water and groundwater resources, is being progressively considered as one of the fundamental approaches to solving these issues. This paper gives a detailed overview of the conjunctive use in water resource management considering the present tendencies and directions of development in this sphere. The present study relies on a diverse variety of literature resources which integrate the new techniques, equipment, and policies in respect to conjunctive use. It covers important issues like hydrological modeling, innovative groundwater recharge methods, and integrating conjunctive use techniques into adaptive management system. Moreover, the review also evaluates the roles of different parties, such as government agencies, communities, and industries, involved in the conjunctive use approaches and the promotion of collaborative governance mechanisms. This review identifies that while the conjunctive use approaches are very promising for solutions to water security, fragmented management and poor data integration constrain them. The paper conducts an all-embracing analysis that pinpoints the upcoming problems and solutions, and discovers the need for extensive research and innovation to make the conjunctive water resources management more efficient and resilient.

Evaluating the Impact of Hotel Classification on Pool Water Consumption: A Case Study from Costa Brava (Spain)

Swimming pools are key assets in the hotel industry. With climate change and water stress, more sustainable pools are needed in tourist areas. The study examines the relationship between hotel categories and the consumption of water in swimming pools in a Mediterranean coastal region facing water scarcity. The study focuses on the Costa Brava, with a focus on Lloret de Mar, a popular tourist destination. The research employs a combination of data analysis and the utilisation of evaporation models in order to estimate the consumption of water by swimming pools. The findings indicate that hotels in the higher categories, particularly those with three or four stars, contribute a notable proportion of the total water consumption due to their larger pool sizes and higher guest numbers. The study underscores the necessity for the implementation of sustainable water management strategies, particularly in the context of climate change. It recommends the utilisation of pool water-saving technologies as potential solutions. Furthermore, the paper highlights the broader environmental impact of tourism infrastructure on water resources and suggests policy measures to mitigate these effects. The research aligns with global sustainability goals such as the European Green Deal and the 2030 Agenda.

LSTM-Autoencoder Based Detection of Time-Series Noise Signals for Water Supply and Sewer Pipe Leakages

The efficient management of urban water distribution networks is crucial for public health and urban development. One of the major challenges is the quick and accurate detection of leaks, which can lead to water loss, infrastructure damage, and environmental hazards. Many existing leak detection methods are ineffective, especially in complex and aging pipeline networks. If these limitations are not overcome, it can result in a chain of infrastructure failures, exacerbating damage, increasing repair costs, and causing water shortages and public health risks. The leak issue is further complicated by increasing urban water demand, climate change, and population growth. Therefore, there is an urgent need for intelligent systems that can overcome the limitations of traditional methodologies and leverage sophisticated data analysis and machine learning technologies. In this study, we propose a reliable and advanced method for detecting leaks in water pipes using a framework based on Long Short-Term Memory (LSTM) networks combined with autoencoders. The framework is designed to manage the temporal dimension of time-series data and is enhanced with ensemble learning techniques, making it sensitive to subtle signals indicating leaks while robustly dealing with noise signals. Through the integration of signal processing and pattern recognition, the machine learning-based model addresses the leak detection problem, providing an intelligent system that enhances environmental protection and resource management. The proposed approach greatly enhances the accuracy and precision of leak detection, making essential contributions in the field and offering promising prospects for the future of sustainable water management strategies.

Trihalomethanes in chlorinated drinking water: Seasonal variations and health risk assessment in southern Iran

Assessing the adverse impacts of trihalomethanes, the most hazardous disinfection by-products, is crucial for community health protection. This study evaluated physicochemical parameters, trihalomethane levels, their prediction, and risk assessment using probability and Sobol analysis. Results indicated that electrical conductivity, total dissolved solids, nitrate, sulfate, calcium, lithium, total organic carbon, and ammonium exceeded permissible limits. Tribromomethane (0.14–3.21 μg/L in winter; 0.06–0.17 μg/L in summer), trichloromethane (1.90–3.53 μg/L in winter; 3.19–5.44 μg/L in summer), bromodichloromethane (0.62–4.24 μg/L in winter; 3.27–6.41 μg/L in summer), and dibromochloromethane (0.82–2.41 μg/L in winter; 0.69–3.03 μg/L in summer) remained within safe limits. Random Forest analysis identified total organic carbon as the most significant factor in trihalomethane production, with a positive correlation between trihalomethanes and bromide. Per the World Health Organization's risk assessment, trihalomethane concentrations posed no harm to residents (IWHO<1). However, the United States Environmental Protection Agency's assessment indicated an acceptable low cancer risk (100% cumulative cancer risk for all groups). Additionally, nitrate and fluoride levels surpassed the standard limit, with hazard index above 1 in both seasons for residents. Monte Carlo simulations showed that the 95th percentile of residents faced non-carcinogenic (nitrate and fluoride). However, 100% of children and 99.98% of adults were exposed to an acceptable low carcinogenic risk for THMs. Factors like inhalation rate, body weight, and trihalomethane levels significantly impacted health risk. These findings highlight the necessity for continuous monitoring and effective water treatment to safeguard public health, promote clean water, and advance sustainable development, advocating for sustainable water management to tackle health risks from environmental pollutants like disinfection by-products.

Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability

Sustainable management of water, energy, and food (WEF) under climate change will be a significant challenge for arid agricultural systems. This study developed a fractional non-linear multi-objective programming (FNLMOP) model to optimize resource allocation and improve agricultural sustainability in these systems under climate change. The model was designed in the framework of the WEF nexus to simultaneously improved energy productivity (profit/energy), and water productivity (profit/water), while mitigating environmental damage (damage to groundwater resources/output) and ensuring food security in an arid watershed in Iran. The long Ashton research station weather generator (LARS-WG) and the coupled model intercomparison project 6 (CMIP6) were employed to project climate parameters for both future dry and wet conditions. The sustainability of the optimal solutions was then assessed using a hybrid criteria importance through intercriteria correlation (CRITIC)-VIKOR approach. The optimal solutions revealed a reduction in the land under cultivation and produced less water-intensive crops. The optimization model can ensure WEF security, enhancing agricultural system sustainability by optimizing crop cultivation patterns and resource allocation. Current crop choices were highly inefficient with the bigger changes being from the current crops to optimal crops. Climate change showed a substantial but lesser influence on optimal crop choice.

Advanced Technologies for Sustainable Water Management: A Comprehensive Review

This review paper provides a comprehensive analysis of the latest advancements in water management technology, focusing on the integration of Internet of Things (IoT), machine learning, blockchain, and other emerging technologies. The study examines 19 key research papers, exploring various methodologies, key outcomes, and the challenges associated with these technologies. While significant progress has been made in improving water resource management through real-time monitoring, predictive analytics, and decentralized data management, several challenges persist, including high implementation costs, integration complexities, and the need for standardized protocols. The review identifies opportunities for future research, particularly in developing cost-effective solutions, enhancing interoperability, and advancing artificial intelligence applications in water management. Additionally, the paper highlights the importance of evolving regulatory frameworks and increasing public awareness to ensure the successful adoption of these technologies. The findings of this review contribute to the ongoing efforts to create more sustainable and efficient water management systems capable of addressing the growing global water demand.

Climate change impact on water scarcity in the Hub River Basin, Pakistan

The Hub River Basin (HRB), a critical transboundary water source for Sindh and Baluchistan provinces in Pakistan, may face worsening water scarcity due to climate change and population growth. This study aims to assess the current state of water scarcity in the HRB and assesses its vulnerability to these pressures in future. To evaluate the baseline water scarcity in the HRB, a calibrated and validated Soil and Water Assessment Tool (SWAT) was established. Five General Circulation Models (GCMs) were employed to project the future climate under Representative Concentration Pathways (RCP 4.5 and 8.5) for the HRB. Sector-specific indicators were also used to assess the temporal and altitudinal sensitivity of the basin to climate change. These climate projections were incorporated in the SWAT model to simulate flows for three different periods: Early Future (EF; 2010–2039), Mid Future (MF; 2040–2069), and Far Future (FF; 2070–2099). The SWAT model results indicate significant increase in mean flows simulated by SWAT, ranging from 15.27 to 52.78 m3/s under RCP 4.5 and RCP 8.5 compared to baseline flows at HRB. Additionally, the study examines the temporal variation in basin stress and scarcity levels using Falkenmark and Water scarcity indicators. The findings indicate a general decrease in the basin's stress and scarcity levels, potentially benefiting water users of the HRB, especially under RCP8.5. This study offers crucial insights for shaping policies and strategies to adapt to climate change and population growth, ultimately aiming to minimize their impacts on HRB's water resources. By informing water managers and promoting sustainable water management practices, this research can help prevent future conflicts over water allocation and infrastructure development linked with the HRB.

A Novel Integrated Approach to Assess Groundwater Appropriateness for Agricultural Uses in the Eastern Coastal Region of India

Due to the increase in demand for water, the rapid growth of urbanization and industrialization is the main threat to the source and quality of groundwater. The present study aimed to assess the suitability of groundwater for agricultural purposes in coastal regions using integrated approaches such as the saltwater mixing index (SWMI), the mineral saturation index (MSI), the agriculture suitability index (ASI), and unsupervised machine learning (USML) techniques. The result of the SWMI revealed that 20 and 17 sample locations were highly affected by saltwater intrusion in the study region’s northern and southeastern parts during the pre- and post-monsoon seasons. The detailed analysis of electrical conductivity in groundwater revealed that 19.64% and 14.29% of the samples were unfit for irrigation purposes, especially five sample locations, during both seasons. Regarding the overall suitability of groundwater for irrigation uses, the ASI values divulged that 8.9% of the samples were unsuitable for irrigation purposes. The spatial analysis of the ASI value indicated that 43.19 and 85.33 sq. km of area were unsuitable for irrigation practices. Additionally, the USML techniques identified the most influenced parameters such as Ca2+, Mg2+, Cl−, and SO42− during both seasons. The present study results help maintain proper, sustainable water management in the study region.

Assessment of Agricultural Virtual Water Export of Türkiye

As the negative effects of climate change are amplified, the agriculture sector is becoming more fragile. Food security is under risk because agriculture is highly dependent on climatic conditions and availability of water resources all over the world. For this reason, the concepts of virtual water and water footprint have begun to gain importance as decision-support tools for the effective and efficient use of water. However, there is a gap in the literature, where few studies focus on virtual water trade. Given the increasing stress caused by reasons such as the scarcity of water resources and climate change, this concept is likely to gain serious attention in the coming years. Türkiye is a water-stressed country whose water resources are decreasing due to the impact of climate change. More effective water management is needed to meet the increasing demand. In this study, virtual water was determined for Türkiye's agricultural export, and it was observed that crops with high water footprint but low economic returns were also exported in large amounts. It was revealed that the virtual amount of water exported by the evaluated crops was 5.9 billion m3 annually. This value is high enough to meet the domestic water needs of a metropolitan city like Istanbul for seven years. It is evident that water footprint and virtual water concepts would help decision makers to support optimized water consumption and sustainable water management.

Nanotechnology advancements in groundwater remediation: A comprehensive analysis of current research and future prospects

Groundwater contamination is a critical environmental issue with vital health implications. This review evaluates the advancements in nanotechnology for groundwater remediation, highlighting major findings and their relevance to Sustainable Development Goals (SDGs). Key findings include the superior adsorption capabilities of multi-walled carbon nanotubes functionalized with various groups for removing heavy metals and aromatic pollutants, outperforming traditional sorbents. The review also discusses the potential of nanomaterials like zero-valent iron nanoparticles for effective contaminant degradation. Despite promising results in the studies, challenges such as the movement and dispersion of engineered nanomaterials in porous media and the need for innovative delivery methods are identified. Furthermore, this review explores the environmental and health risks associated with the use of nanomaterials, emphasizing the need for risk assessments to ensure safe application. The novel delivery methods assessed, such as the use of groundwater circulation wells and the combination of nanoremediation with other techniques like bioremediation, demonstrate potential to enhance remediation efficiency. The integration of nanotechnology in groundwater remediation directly contributes to Clean Water and Sanitation by providing innovative solutions for the purification of water resources. Advanced nanomaterials not only improve contaminant removal efficiency but also promote sustainable water management practices. Additionally, the environmental benefits align with Life on Land, as the reduction of hazardous substances in groundwater protects terrestrial ecosystems and promotes biodiversity conservation. This review study aims to enhance understanding and identify future opportunities for nanotechnology in groundwater remediation. By addressing current challenges and proposing innovative solutions, this review underscores the importance of interdisciplinary research and collaboration in advancing sustainable development.

Public irrigation decision support systems (IDSS) in Italy: Description, evaluation and national context overview

This survey comprehensively examines the public irrigation decision support systems (IDSS) in Italy, offering a detailed description, analysis and evaluation of their features. The study investigates the agrometeorological networks and infrastructures that support Italian IDSS, providing a clearer understanding of the national context. The evaluation criteria include relevant factors such as soil moisture monitoring, crop water requirements (CWR) estimation models, biophysical parameters along with their spatial and temporal resolutions, irrigation planning and decision support visualization. Additionally, the assessment covers accessibility, scalability and interoperability of these systems. The survey also highlights the strengths and weaknesses of various IDSS, such as IRRIFRAME, IRRISIAS and IRTO, discussing their operational methodologies, data integration and regional coverage. The aim is to provide insights that facilitate advancements in sustainable irrigation management practices and address key challenges for future developments at both regional and national levels. This comprehensive evaluation seeks to enhance the effectiveness of IDSS in promoting sustainable water management in agriculture across Italy.

SCARCE RESOURCES, GREAT CHALLENGE: CENTRAL ASIA'S WATER CRISIS AND ENVIRONMENTAL SUSTAINABILITY

Central Asia has limited water resources and increasing pressure on these resources. Large-scale irrigation projects initiated during the Soviet Union led to the over-exploitation of the Amu Darya and Sir Darya rivers and the dramatic drying up of Lake Aral. This process has caused extensive damage to the ecosystem, declines in agricultural productivity and serious problems in human health. The article analyses the historical origins and the current state of the water crisis in the region and examines the challenges of water resources management and sustainability efforts. It will also emphasise the importance of regional cooperation and modern water management policies. Central Asia's water crisis is not only an environmental problem but also a social and economic challenge. In this context, sustainable water management strategies are vital for the region to achieve its long-term development goals. Türkiye’s cooperation with the Central Asian states in this regard and transferring experience to them will contribute to the regional states' confidence in Türkiye and increase Türkiye’s prestige in the international arena. The article will use the Russian, English, Turkish and Uzbek source search method.

Delineating groundwater potential zones using integrated remote sensing and GIS in Lahore, Pakistan.

Groundwater depletion and water scarcity are pressing issues in water-limited regions worldwide, including Pakistan, where it ranks as the third-largest user of groundwater. Lahore, Pakistan, grapples with severe groundwater depletion due to factors like population growth and increased agricultural land use. This study aims to address the lack of comprehensive groundwater availability data in Lahore's semi-arid region by employing GIS techniques and remote sensing data. Various parameters, including Land Use and Land Cover (LULC), Rainfall, Drainage Density(DD), Water Depth, Soil Type, Slope, Population Density, Road Density, Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI), Moisture Stress Index (MSI), Water Vegetation Water Index (WVWI), and Land Surface Temperature (LST), are considered. Thematic layers of these parameters are assigned different weights based on previous literature, reclassified, and superimposed in weighted overlay tool to develop a groundwater potential zones index map for Lahore. The groundwater recharge potential zones are categorized into five classes: Extremely Bad, Bad, Mediocre, Good, and Extremely Good. The groundwater potential zone index (GWPZI) map of Lahore reveals that the majority falls within the Bad to Mediocre recharge potential zones, covering 33% and 28% of the total land area in Lahore, respectively. Additionally, 14% of the total area falls under the category of Extremely Bad recharge potential zones, while Good to Extremely Good areas cover 19% and 6%, respectively. By providing policymakers and water supply authorities with valuable insights, this study underscores the significance of GIS techniques in groundwater management. Implementing the findings can aid in addressing Lahore's groundwater challenges and formulating sustainable water management strategies for the city's future.

A Study to Estimate the effect of Water Scarcity On the Morphological and Biochemical Parameter of the Plant

The importance of doing research on the effects of water scarcity on plant health and productivity cannot be overstated, particularly in light of the effects of climate change and the rising urgency of water scarcity. Calculating the ways in which water scarcity influences the morphological and biochemical features of plants is the objective of this research. Protein concentrations, antioxidant activity, and chlorophyll content are examples of biochemical parameters, while plant height, leaf area, and root length are examples of morphological criteria. Furthermore, the length of the roots is an example of a root. We were able to see significant changes in the morphological and biochemical properties of the plants by conducting experiments that were carefully controlled and administered with varying degrees of water availability. Water scarcity is a direct factor that affects plant growth, as seen by reduced plant height, reduced leaf area, and shorter root length. In terms of biochemistry, we saw a decrease in the contents of chlorophyll and protein, both of which are essential for the process of photosynthesis and for the overall health of plants. On the other side, antioxidant activity increased, which is indicative of a stress response mechanism that is being used to cope with the lack of water. The findings highlight the critical need of implementing sustainable water management methods in order to achieve the goal of preserving the resilience of plants and the productivity of agricultural production in the face of water scarcity. This research provides valuable insights into the physiological changes that plants go through when they are subjected to water stress. These findings have the potential to open up new routes for the creation of plant varieties that are resistant to drought.

Evaluation of the Effect of Soil Water Conditions on the Development and Water Requirements of Adult Oil Palm (Elaeis guineensis Jacq.) in the Northern Region of Colombia

Sustainable water management is a key approach for enhancing the productivity of oil palm trees while addressing the impacts of climate change and variability. Determining the water needs of a crop is crucial for the appropriate application of water. This research was carried out in two plantations in Agustín Codazzi, Colombia, using a completely randomized design. This study involved examining the impacts of five different water conditions (50, 150, 300, 450, and 600 L per day) on the growth and yields of mature oil palm trees (aged 10–17 years), and their water consumption was calculated using the water balance method. The results indicated that the crop was negatively affected by daily water applications of 300, 150, and 50 L per day, showing statistically significant differences (p &lt; 0.05) when compared to the 450 and 600 L per day treatments, particularly in terms of leaf emergence, leaf area index, and yield (tons per hectare). The 50 L per day treatment resulted in the most substantial decrease in yield (around 26%), primarily attributed to a reduction in the number of bunches. The most favorable crop responses were observed with water applications of 450 and 600 L per day, aligning with the crop’s potential evapotranspiration values (ranging between 5.4 and 5.7 mm per day) and yielding crop coefficients of 0.88 and 0.9, respectively. Notably, these values varied between dry and rainy seasons, peaking between December and March.

Morphometric Analysis Of Amarpatan Block, Madhya Pradesh India, Using GIS And Remote Sensing Techniques

Remote sensing and GIS techniques are used as effective tools for morphometric analysis. Morphometric analysis classification is the most commonly adopted method for waterhed analysis. This method is helpful in conserving water resources by analyzing the drainage aspects of the catchment area. This study was conducted in Amarpatan block of Satna district, Madhya Pradesh. Morphometric features were analyzed using Digital Elevation Model (DEM) and ArcGIS software. The area was divided into 6 sub-watersheds. Stream order was determined from first to sixth order, which shows the dendritic drainage pattern. The parameters of morphometric analysis are measured as linear, aerial, and relief aspects (e.g., stream order, drainage density, stream frequency, bifurcation ratio, elongation ratio, etc.). The analysis contributes to understanding watershed management sites for the conservation of soil and water. This study provides information to policy makers for sustainable water resources development and management.