Evaluation Of Water Resources Research Articles

Exploring the ecological security evaluation of water resources in the Yangtze River Basin under the background of ecological sustainable development

The Yangtze River (hereafter referred to as the YZR), the largest river in China, is of paramount importance for ensuring water resource security. The Yangtze River Basin (hereafter referred to as the YRB) is one of the most densely populated areas in China, and complex human activities have a significant impact on the ecological security of water resources. Therefore, this paper employs theories related to ecological population evolution and the Driving Force-Pressure-State-Impact-Response (DPSIR) model to construct an indicator system for the ecological security of water resources in the YRB. The report evaluates the ecological security status of water resources in each province of the YRB from 2010 to 2019, clarifies the development trend of its water resource ecological security, and proposes corresponding strategies for regional ecological security and coordinated economic development. According to the results of the ecological population evolution competition model, the overall indicator of the ecological security of water resources in the YRB continues to improve, with the safety level increasing annually. Maintaining sound management of water resources in the YRB is crucial for sustainable socioeconomic development. To further promote the ecological security of water resources in the YRB and the coordinated development of the regional economy, this paper proposes policy suggestions such as promoting the continuous advancement of sustainable development projects, actively adjusting industrial structure, continuously enhancing public environmental awareness, and actively participating in international ecological construction and seeking cooperation among multiple departments.

Statistical Evaluation and Quality Analysis of Water Resources Around Quarry Site in Abuja Suburban Nigeria

Statistical Evaluation and Quality Analysis of Water Resources Around Quarry Site in Abuja Suburban Nigeria

Evaluation of water resources carrying capacity in China based on entropy weight TOPSIS model

Water resources carrying capacity refers to the ability of the water resources ecosystem to continuously carry the coordination relationship between human society and economy in the normal development process of a country or a region. Its self-sustaining ability, self-regulation and self-development potential often hinder sustainable development in water shortage areas. Research on water resources’ carrying capacity is a meaningful way to support regional water resources security and realize harmonious development of society, economy, and ecological environment. Correct assessment of water carrying capacity and response to government policies will contribute to improved water use and sustainable economic and social development. This study first sorts out the relevant questionnaires of water resources carrying capacity level evaluation, proposes the evaluation indicators of water resources carrying capacity level, collects and standardizes the required data, and calculates the weight of each evaluation index by entropy weight method. Then, it calculates the comprehensive evaluation value of China’s water resources carrying capacity from 2012 to 2022 in the TOPSIS model. The results show that the total afforestation area, total investment in environmental pollution control, and total industrial wastewater discharge are the third most important factors in improving the carrying capacity of water resources. From 2003 to 2010, China’s water resources carrying capacity improved year by year. From 2011 to 2021, China’s water resources carrying capacity remained stable year by year. The continuous adjustment of China’s industrial structure and strengthening environmental pollution control are inevitable measures to improve the carrying capacity of China’s water resources. This study provides a scientific basis for exploring the changing trend of China’s water resources carrying capacity and formulating reasonable optimal allocation of water resources. It also has great significance for promoting China’s water resources’ carrying capacity and sustainable development of the social economy and ecological environment.

Spatiotemporal Evaluation of Water Resources in Citarum Watershed during Weak La Nina and Weak El Nino

This study investigates the dynamics of water resources in the Citarum watershed during periods of weak La Niña, normal, and weak El Niño conditions occurring sequentially. The Citarum watershed serves various purposes, being utilized not only by seven (7) districts and two (2) cities in West Java, Indonesia but also as a source of raw water for drinking in the City of Jakarta. Using a time-series analysis of surface water data, data-driven (machine learning) methods, and statistical analysis methods, spatiotemporal predictions of surface water have been made. The surface water time series data (2017–2021), obtained from in situ instruments, are used to assess water resources, predict groundwater recharge, and analyze seasonal patterns. The results indicate that surface water follows a seasonal pattern, particularly during the monsoon season, corresponding to the groundwater recharge pattern. In upstream areas, water resources exhibit an increasing trend during both weak La Nina and weak El Niño, except for Jatiluhur Dam, where a decline is observed in both seasons. Machine learning predictions suggest that water levels and groundwater recharge tend to decrease in both upstream and downstream areas.

Evaluating water resource carrying capacity in Pearl River-West River economic Belt based on portfolio weights and GRA-TOPSIS-CCDM

Research on the spatial differences in the water resource carrying capacity (WRCC) and their causes can effectively address the imbalance of water resources and enhance the economic, social, and ecological properties of the basin. Sixteen cities in the Pearl River-West River Economic Belt (PR-WR EB) were selected for this study from 2017 to 2021. Based on the theoretical Driving-Pressure-State-Impact-Response model and related research, an evaluation model for WRCC was constructed. The weights obtained from the entropy method and CRITIC method were combined and assigned using the geometric method, after which they were applied to a model that combines the grey relational analysis (GRA), technique for order preference by similarity to ideal solution (TOPSIS), and coupling coordination degree model (CCDM) to calculate the evaluation value of the WRCC subsystem. Meanwhile, the spatial variability and spatial correlation of WRCC were analyzed using the natural breakpoint method, Moran's index, clustering characteristics, and outlier index. The overall WRCC of the PR-WR EB showed stable characteristics from 2017 to 2021. In terms of spatial correlation, significant spatial clustering characteristics were observed. The subsystem coupling degree ranged between 0.6 and 1.0 for all subsystems, thus exhibiting good coupling efficiency; meanwhile, the coordination degree was low and ranged between 0.17 and 0.36.

2018–2022年青海省主要湖泊蓄水量时空变化数据集

Qinghai Province is an important ecological function area, which is located in the inland of Northwest China. Qinghai Province is abundant in the total amount of water resource, but the spatial-temporal distribution of water resource in Qinghai Province is extremely uneven. Moreover, due to the factors such as climate and geographical environment, most lakes lack monitoring for a long time. As a significant carrier of surface water resource, lakes are important indicators for studying the impact of climate change and human activities on the water cycle process. The domestic GF-1 and GF-6 satellites have the ability to observe the earth repeatedly for a period of 2 days by collaborating, thus the surface water area can be obtained at high frequency. A high-precision surface water level can be acquired by ICESat-2, which has centimeter-level height measurement accuracy. The water area derived from GF-1/6 and water level derived from ICESat-2 were adopted to build the models for monitoring spatial-temporal variation of water storage of lakes in Qinghai Province. We developed a dataset of spatial-temporal variation of lake water storage in Qinghai Province during 2018–2022 via the models. The monitoring accuracy of the dataset had been verified with an overall accuracy better than 93%, which meets the needs of remote sensing monitoring of spatial-temporal variation of lake water storage. The dataset contains a total of 60 monthly storage variation of 33 lakes an area of more than 30 km2 in Qinghai Province during 2018–2022. These lakes are mainly distributed in the west, north and southeast of Qinghai Province. The dataset can provide basic data support for lake, hydrological and climate change process monitoring, dynamic evaluation of water resources, and optimization of water resources management and scheduling in Qinghai Province.

Energy Poverty Impact on Sustainable Development of Water Resources in China: The Study of an Entropy Recycling Dynamic Two-Stage SBM Model

Water scarcity is increasingly being recognized as a global concern. Sustainable Development Goal 6 (SDG-6) was established by the United Nations to address water resource governance within its sustainable development framework. This study employs the entropy weight method and a two-stage cyclical dynamic slacks-based measure (SBM) model to scientifically evaluate water resource utilization and governance across various regions in China. The findings reveal notable disparities in both the production and governance efficiency of water resources. Recognizing governance efficiency is crucial for promoting sustainable water resource utilization and socioeconomic development. The eastern, central, and western regions encounter unique challenges in attaining sustainability. The eastern region exhibits minimal potential for enhancing technical efficiency, necessitating interventions in management strategies and resource allocation. Conversely, the challenges in the central and western regions are more pronounced, demanding immediate implementation of new technologies and equipment. The data analysis in this study yields conclusions that offer targeted improvement recommendations to address disparities across China’s eastern, central, and western regions, and this is achieved by considering various developmental stages and regional contexts. These recommendations cover areas such as technical support, financial investment, and policy incentives, with the aim of enhancing the sustainable utilization of water resources in the country.

Flood risk assessment, a case study in an arid environment of Southeast Morocco

Abstract Since the early 1980s, several regions of Morocco have experienced alternating series of wet and dry periods related to climate change, with significant consequences for the country’s economy. This study aims to map flood hazards by using a hydraulic modeling approach, with a specific focus on the Oued (river) Zaouiat Sidi Hamza passing through Zaouiat Sidi Hamza township belonging to the High Ziz watershed (province of Midelt, region of Drâa-Tafilalet, Morocco). Hydraulic modeling and flood simulation were carried out followed by mapping of the flood hazard. The Oued Zaouiat Sidi Hamza River can cause torrential flooding issues, particularly during periods of heavy storms, impacting agricultural land and certain buildings on both river banks. All the cultivated areas developed alongside the river are at risk of flooding. Moreover, undermining and erosion of the river’s banks lead to rising high-water levels and flooding agricultural terraces. The use of geographic information systems and hydraulic modeling tools is essential to gain a deeper understanding of this situation. Also, the mapping of lineaments and fractures in the study area, carried out by satellite image processing, helped to quantify the directional influence of these lineaments on the flow of the hydrographic network, on the orientation of the circulation of surface water, and on the storage of groundwater. According to this study, the most vulnerable areas to flooding and erosion are those that receive the most water in the basin and have steep slopes. Decision-makers can use the results to produce development plans tailored to combat these risks and raise awareness among the population concerned, improving water resource evaluation and forecasting, as well as improving agricultural production.

Evaluating water resources sustainability of water-scarcity basin from a scope of WEF-Nexus decomposition: the case of Yellow River Basin

Evaluating water resources sustainability of water-scarcity basin from a scope of WEF-Nexus decomposition: the case of Yellow River Basin

Multivectority of ecological and economic assessment of water resources of Ukraine

The financial and economic mechanism of balanced use of natural resources includes a wide specification of environmental, organizational, economic and financial instruments. The author's vision of the multi-vector nature of the ecological and economic assessment of water resources is outlined, which is a comprehensive approach to the analysis of the use and management of water resources for making informed decisions with the determination of priorities for Ukraine. It is substantiated that formation of fundamental scientific bases for the evaluation of water resources of Ukraine should be based on the use of ecological and economic approaches, in particular: ecological dimension, economic analysis, social dimension, technical analysis, legal and regulatory context, risk analysis, climate change analysis, water infrastructure projects, water conflict management, environmental impact monitoring and assessment, alternative scenarios. A study of publicly available data on the assessment of the use of water resources of Ukraine was conducted. Based on the results of the study, we proposed the structure of a multi-vector model of the tools of the ecological and economic mechanism of water resources assessment, which is systematized according to interrelated instrumental blocks: ecological dimension — assessment of the impact of any water projects or activities on natural ecosystems, aquatic biological resources, and water quality; economic analysis — consideration of economic indicators; social dimension — assessment of the impact of projects on society; technical analysis — analysis of technical solutions, engineering aspects and technological parameters of water projects; legal and regulatory context — consideration of relevant legislative and regulatory requirements; analysis — risk assessment of possible risks and development of strategies for their management. The ecological and economic approach helps ensure balanced use of water resources, taking into account the needs of humanity and the requirements of the environment. On the basis of the multi-vector nature of the ecological and economic assessment of water resources, recommendations on environmental protection, optimal use of resources, social impact of projects, risk management strategies and other important aspects can be provided. The author's approach to theoretical-methodological approaches and methodological provisions regarding the formation of a model of tools for the ecological-economic mechanism of water resources assessment, the effective influence of which is aimed at balancing the ecological, economic and social components of the use of water resources of Ukraine, is proposed. It is substantiated that the functioning of multi-directional tools of the ecological and economic mechanism will ensure both greening and increasing the economic and social effectiveness of the use of water resources, the consolidation of management aspects around strategic tasks and priorities determined by the Basic principles of the state environmental policy of Ukraine for the period up to 2030.

A dataset of lake level changes in China between 2002 and 2023 using multi-altimeter data

ABSTRACT Lake water levels are an important indicator of water balance and water cycles, and are essential for climate and environmental change studies and water resource evaluation. Currently, lake level measurements are scarce or inconsistent throughout the country, and traditional gauge measurements of many lakes are not feasible, so satellite altimetry is a vital alternative to gauge lake levels. However, the accuracy and sampling frequency of lake level time series are usually low because of time and space coverage limitations; therefore, it is necessary to utilize multi-altimeter data to monitor lake levels and obtain lake level changes over long time series. In this study, we extracted the water level changes in 988 lakes (>10 km2) in China between 2002 and 2023 based on ICESat/-2, Cryosat-2, Jason-1/2/3, and Sentinel-3A/3B altimetry data using waveform retracking, lake level extraction, lake level time series construction, the fusion of multi-altimeter lake level time series, and outlier removal. A total of 55% of the lakes in this dataset have been monitored for more than 10 years, and 34% have more than 12 times the annual average water level monitoring. At the same time, in situ data from 21 lakes were used for validation, and the average root mean square error (RMSE) for each of the datasets of ICESat/-2, Cryosat-2, Jason-1/2/3, and Sentinel-3A/3B versus the in situ lake levels are 0.223 m, 0.163 m, 0.207 m, 0.596 m, 0.295 m, 0.275 m, 0.243 m, and 0.317 m, respectively, and the mean RMSE of the fused lake levels reaches 0.332 m. During the monitoring period, the water levels in Chinese lakes generally increased. The overall annual average rate of change at the 20 and 10-year scales was 0.123 m/a and 0.151 m/a, respectively, among which the overall water levels in large lakes increased significantly. The lakes with a faster rate of decline in the water level were primarily small. The water storage in each lake region in China shows an upward trend, with the most significant increase in the Tibetan Plateau region, where the average annual water level change rate has remained above 0.15 m/a over the past two decades. This dataset has high spatiotemporal coverage and accuracy and can support the estimation of changes in lake water storage, analysis of lake level trends, plateau flooding, and the relationship between lake ecosystems and water resources.

Dynamic evaluation of water resources carrying capacity in Shandong Province based on the comprehensive weight and TOPSIS model

Dynamic evaluation of water resources carrying capacity in Shandong Province based on the comprehensive weight and TOPSIS model

Impacts of precipitation uncertainty on hydrological ensemble simulations over the Ganjiang River basin

Study regionThe Ganjiang River basin (113°−117°E, 24°−30°N; 83,374 km2) is a large watershed with complex topography in the Poyang Lake basin in Jiangxi province, China. Study focusThis study evaluates three quantitative precipitation estimates (QPEs) over the Ganjiang River basin, namely the China Gauged-Based Daily Precipitation Analysis (CGDPA) data, the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) data, and the Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE). The study also investigates the impacts of precipitation uncertainty on hydrological ensemble streamflow simulations using the three QPEs as precipitation inputs of the Variable Infiltration Capacity (VIC) hydrological model. New hydrological insights for the regionAPHRODITE underestimates precipitation compared to CGDPA, while PERSIANN-CDR shows greater spatiotemporal variability. The ensemble mean streamflow demonstrates greater improvement compared to the results obtained from a single parameter set. Among the three QPEs, the simulations forced by CGDPA show the best deterministic and probabilistic verification scores, followed by APHRODITE. PERSIANN-CDR tends to underestimate evaporation and leads to the lowest score of ensemble streamflow simulations, but shows advantages in simulating extremely low streamflow. The study highlights that high-density gauge-based QPEs remain the most accurate source of precipitation inputs for reliable hydrological simulations, while satellite-gauge merged QPEs can provide valuable inputs for hydrological simulations over the basins where meteorological stations are scarce.

Evaluation of Water Resources Carrying Capacity of Zhangye City Based on Combined Weights and TOPSIS Modeling

According to the natural condition of water resources and the economic, social, and ecological environment status of Zhangye City, the water resources carrying capacity of Zhangye City is evaluated by using the water resources carrying capacity Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model with combination assignment. The results show that: (1) From 2010 to 2020, the water resources carrying capacity of Zhangye City was generally stable at the macro level, ranking at grades III and IV. However, from the micro level, the water resources carrying capacity fluctuates to a certain extent and shows an increasing trend year by year. (2) The steady improvement of economic and social conditions is the main driving force for the improvement of the comprehensive water resources carrying capacity of Zhangye City, and the changes in the ecological environment are also important factors affecting the carrying capacity of water resources. The results provided a decision basis for future comprehensive development and utilization of water resources in Zhangye City and a reference for water resource carrying capacity and water resource security assessment in other arid and semi-arid areas in our country.

Evaluation of Water Resources in a Complex River Basin Using Water Accounting Plus: A Case Study of the Mahi River Basin in India

Evaluation of Water Resources in a Complex River Basin Using Water Accounting Plus: A Case Study of the Mahi River Basin in India

Water Resources Evaluation and Sustainability Considering Climate Change and Future Anthropic Demands in the Arequipa Region of Southern Peru

Water Resources Evaluation and Sustainability Considering Climate Change and Future Anthropic Demands in the Arequipa Region of Southern Peru

Evaluate the use of flower waste biosorbents for treatment of contaminated water

Human and industrial activities have contaminated the groundwater and surface water. This is a significant issue today. Therefore, the analysis of water quality is crucial. The purpose of this study is to evaluate the water quality index (WQI) of groundwater at various locations for physiochemical analysis. For calculating the current water quality status using statistical analysis and in the water quality index, the following parameters were considered: pH, total dissolved solids, total alkalinity, chlorides, hardness, dissolved oxygen, Biochemical oxygen demand, and chemical oxygen demand. The acquired results are compared to the Indian drinking water standard IS: 10500–2012. The investigation of the physicochemical and biological characteristics of this ground water sample indicates that the evaluation of water quality parameters and resources is necessary. In the water quality index of six different places Gudlavalleru, Ainampudi, Penjendra, Gudlavalleru Gudem, Angaluru and Kondiparru. In the six locations the pH value vary from (6.72–8.3), temperature vary from (34 °C-36.5 °C), acidity vary from (15–40), alkanity vary from (10–25), turbidity vary from (0.8–60.4), DO vary from (3.7–6.2), COD vary from (209–477), Iron vary from (3–5), fluorides is zero, phosphorous vary from (0–0.5), ammonium vary from (0–1), nitrates vary from (0–5), chlorides vary from (375–575), hardness vary from (200–505), nitrites vary from (0–1), total solids vary from (729–1573), suspended solids vary from (468–971) and dissolved solids vary from (301–602). Using dry flowers biosorbents for biosorptions of heavy metals from polluted water or treat contaminated groundwater. Biological reactions occur to control the concentration of contaminated water when fine, dried powder of flower waste biosorbents is added to contaminated water. In this study, we employ four different flower waste biosorbents, including Targets or marigold flower waste, Ixora-coccinea flower waste, Hibiscus flower waste, and Allamanda flower waste. The Targets or marigold flower waste biosorbents have the highest performance for removing toxic metals from contaminated water among the four flower waste biosorbents. Further optimization of the various parameters, i.e. biosorbents dosage, contact time, pH, temperature, and agitation speed, was performed on Targets or marigold flowers waste biosorbents in order to increase pollutant biosorption. Further research is required into the mechanisms of biosorbents, the kinetics and reusability of metal uptake, the recovery and regeneration of biosorbents, process design, and the commercial application of Targets or marigold flower refuse biosorbents.

Assessment on water cycle health in the Central Plains Urban cluster based on the DSWU NWU SWS NWS A — WCHI model

The health status of the water cycle has a significant impact on the sustainable development of a region. As a densely populated urban cluster, the Central Plains Urban Agglomeration plays an important role in promoting the sustainable development of China urban agglomerations. It is of great significance to optimize the water cycle health of the Central Plains Urban Agglomeration and explore its main barriers. In this article, we propose a conceptual model called DSWUNWUSWSNWSA (“Driving force—Social development uses water—Natural development uses water—Situation of social water resources—Situation of natural water resources—Ameliorate”) and establish an assessment system for the water cycle health of the Central Plains Urban Agglomeration. By combining the FAHP and ICV, we use linear programming to obtain comprehensive weight values that combine subjective and objective factors. Based on this, in order to quantify the degree of WCH, we introduce the Water Cycle Health Index (WCHI) and evaluate the water cycle health of the Central Plains Urban Agglomeration from 2002 to 2022, taking into account the randomness and fuzziness of water cycle health. By introducing an obstacle degree model, we identify the main barriers to water cycle health in the Central Plains Urban Agglomeration in 2022. The results show that the proposed method for evaluating the WCH based on DSWUNWUSWSNWSA — WCHI is feasible. According to the evaluation results, the WCH of most cities in the Central Plains Urban Agglomeration is trending towards “Very healthy,” with a gradual increase in WCHI, and the gap between cities is gradually narrowing. The analysis of barrier factors shows the eight main influencing factors affecting the water cycle health of the Central Plains Urban Agglomeration. The research findings of this article can provide theoretical basis for water resource evaluation, indicator construction, and policy guidance in densely populated urban clusters worldwide.

Hydrological Modeling and Evaluation of Water Balance Over the Complex Topography of Nile Basin Headwaters: The Case of Ghba River, Northern Ethiopia

Water resource evaluation, management, and conservation at the local, national, and international levels depend on an accurate understanding of the hydrological processes. In data-poor environments and topographically complicated areas like the Ghba subbasin in the headwaters of the Nile River, the function of hydrological models is crucial. The primary goal of this study is to use the WEAP model to simulate the hydrology of the Ghba basin. This is because recent hydrological behaviour has changed significantly and resulted in a serious water deficit. The minimal satisfactory performance limit for the monthly stream flow variable was strongly attained by the multi-variable calibration scenario (R2 = 0.82, NSE = 0.82, IA= 0.80 RSR = 0.87 and PBIAS = 9 % for calibration scenario; and R2 = 0.78, NSE = 0.81, IA= 0.70 RSR = 0.80 and PBIAS = 11.5 % for validation scenario). Evapotranspiration makes up 63.4% of the water balance, according to the model simulation, while surface runoff, interflow, baseflow and groundwater recharge accounting for 11.1 %, 11.8%, 5.4% and 8.3 %, respectively. The simulated average annual streamflow at the subbasin outlet is 16.33 m3/s. The simulated monthly minimum flow occurs in January with an average flow of 1.78 m3/s and a coefficient of dispersion of 0.45. Maximum flows occur in July and August, with an average flow of 53.57 m3/s and a coefficient of dispersion of 0.19. The main rainy season was shown to have a larger spatial distribution of simulated runoff, and the average annual recharge value is 53.5 mm. The study's conclusions indicated that both surface water harvesting and groundwater extraction might be used for reliable water distribution to the subbasin's continuously increasing sectoral water demand.

Comprehensive evaluation of water resources carrying capacity in Henan Province based on entropy weight TOPSIS - coupling coordination - obstacle model.

This study aims to investigate the water resource carrying capacity (WRCC) of Henan Province, identify its main obstacles, and provide suggestions for optimizing its WRCC. The article constructs a WRCC evaluation system with 20 indicators for the four subsystems of water resources, economy, society, and ecology based on literature and the actual situation of Henan Province. The entropy weighted TOPSIS method is used to calculate the WRCC of Henan Province from 2005 to 2021. The coupling coordination model is used to explore the degree of coupling coordination among internal systems, while the obstacle model is used to study its restrictive influencing factors. The study found that (1) the WRCC fluctuated in a U-shaped pattern around 0.5 during the study period; (2) the coupling and coordination degree of each subsystem is generally good, except for 2012 and 2013, which showed basic coordination; (3) currently, the main obstacles to the WRCC are ecosystems and water resources. The main indicators are afforestation area, proportion of the tertiary industry, fertilizer usage, and urban sewage treatment rate. Therefore, Henan Province should take measures such as reducing fertilizer usage, standardizing urban sewage treatment, improving water efficiency, and optimizing industrial structure to optimize its WRCC and promote comprehensive utilization of water resources.