scholarly journals Daya Dukung Sumberdaya Air dan Indeks Kekritisan Air Sub DAS Cisokan Hulu

2021 ◽  
Vol 10 (3) ◽  
pp. 402
Author(s):  
Dwi Rustam Kendarto ◽  
Edy Suryadi ◽  
Rizky Mulya Sampurno ◽  
Audi Putra Cahyabhuana
Keyword(s):  
Ecosystem Services ◽  
Water Resources ◽  
Water Balance ◽  
Water Supply ◽  
Carrying Capacity ◽  
Water Demand ◽  
A Value ◽  
Water Resources Carrying Capacity ◽  
Criticality Index ◽  
Area Data

Upper Cisokan sub-watershed is a natural ecosystem of water resource providers that can be used directly or indirectly by the community in it. The population rate and sectoral needs in a sub-watershed area are estimated have put pressure to the water resources balance. The value of the carrying capacity and the water criticality index in the existing condition and its projections for the next 10 years are known from the water balance analysis. The availability of water resources (Wn) was determined based on the flow rate probability (Q80) of Weibull Method, the value of groundwater estimation, springs and wells, and also the raw water supply of local water company. Water demand (qpt) was estimated based on Statistic data of Upper Cisokan sub-Watershed 2020 and the projection for 2030, industrial data, agricultural area data, livestock production data, and fishery area data. The water resources carrying capacity (Cw) of the Upper Cisokan sub-watershed is generally still adequate (High), but at the peak of the dry season, namely June to November, the water carrying capacity status shows a value of 1.84 (Critical) to 0.24 (Deficit). In general, the water criticality index is still safe (Not Critical), but in the dry period, especially in July, August and November, it shows a value of 125% to 421% (Very Critical). To anticipate the water crisis, all stakeholders should allocate water efficiently according to its availability. So that the sub-watershed ecosystem is sustainably provide ecosystem services for providing water resources to the community. Key words: Ecosystem Services, Water Supply, Water Demand, Water Balance, Water Resources Carrying Capacity, Water Criticality Index, Upper Cisokan Sub Watershed

scholarly journals Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China

2020 ◽  
Author(s):  
Yi Wu ◽  
Zhongyu Ma ◽  
Xiang Li ◽  
Li Sun ◽  
Shaohua Sun ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Carrying Capacity ◽  
Water Demand ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Ecological Environment ◽  
Utilization Rate ◽  
Water Resources Carrying Capacity ◽  
Per Capita

Abstract Jinan is a city that typifies the water resource shortage in North China. This study selected nine indices to evaluate the regional water resources carrying capacity (WRCC), which is an important constraining factor in relation to socioeconomic development and the ecological environment. The AHP-CRITIC weighting method was applied to determine the index weighting, and WRCC dynamics during 2011–2016 were analysed and evaluated quantitatively using the fuzzy comprehensive evaluation method. The results revealed the following. (1) During 2011–2016, the comprehensive score of the WRCC was <0.4, indicating poor WRCC. (2) The degree membership of the average evaluation results to V1, V2, and V3 increased successively during 2011–2016. The degree membership of V2 in 2011–2013 was greater than that of V3; however, the situation was reversed during 2014–2016. (3) The indices of available amount of water resources per capita, utilization rate of water resources, water supply per capita, modulus of water supply, quota of domestic water demand, and population density were factors that affected the WRCC of Jinan unfavourably. Conversely, the indices of water demand per 10,000 Yuan industrial output value and water use rate of the ecological environment were factors that played positive roles in improving the WRCC.

scholarly journals Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1085 ◽  
Author(s):  
Boyang Sun ◽  
Xiaohua Yang
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
System Dynamics ◽  
Carrying Capacity ◽  
Environmental Governance ◽  
Supply And Demand ◽  
Groundwater Overdraft ◽  
Water Resources Carrying Capacity ◽  
Water Supply And Demand ◽  
Regional Water

In order to comprehensively evaluate the water resources carrying capacity in Xiong’an New Area, a system dynamics (SD) model was established to evaluate the regional water resources carrying capacity, for which several scenarios were designed: the original development scenario, the accelerated industrialization scenario, the environmental governance scenario, and the optimization development scenario. The results show that, compared with the original development scenario, the water resources carrying capacity in Xiong’an New Area can be improved in other scenarios, but a water supply and demand gap will be generated due to the lack of groundwater overdraft and a water transfer project. In 2026, under the accelerated industrialization scenario, the population carrying capacity will be 2.652 million, and the water supply and demand gap will be 1.13 × 108 m3; under the environmental governance scenario, the population carrying capacity will be 2.36 million, and the water supply and demand gap will be 0.44 × 108 m3; under the optimal development scenario, the population carrying capacity will be 2.654 million, and since the supply of water resources will be greater than the demand, there will not be a gap between supply and demand, making it the most feasible scenario to effectively alleviate the tension between industry restructuring, environmental management, and water resources development and utilization. The findings of this study can provide reference and decision support for optimizing regional water resources allocation and enhancing water resources carrying capacity in Xiong’an New Area.

scholarly journals A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 426 ◽  
Author(s):  
Tong Liu ◽  
Xiaohua Yang ◽  
Leihua Geng ◽  
Boyang Sun
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Carrying Capacity ◽  
Water Demand ◽  
Water Transfer ◽  
Jilin Province ◽  
Development Pattern ◽  
Industrial Water ◽  
Water Efficiency ◽  
Water Resources Carrying Capacity

Water shortage, water pollution, shrinking water area and water mobility are the main contents of the water resources crisis, which are widespread in the social and economic development of Jilin Province. In this paper, a three-stage hybrid model integrating evaluation, prediction and regulation is constructed by combining the load-balance method and the system dynamics method. Using this model, the current states of water resources carrying capacity (WRCC) in 2017 and the trend of water demand/available from 2018 to 2030 were obtained. Using the orthogonal test method, the optimal combination program of agricultural and industrial water efficiency regulation and water resources allocation was selected. The results show that the pressure of the human–water resources system in Changchun, Liaoyuan and Baicheng is greater than the support, and the other six cities are not overloaded. The water demand in Jilin Province and its nine cities will increase from 2018 to 2030, if the current socio-economic development pattern is maintained. Therefore, we change the water quantity carrying capacity index by controlling agriculture, industrial water efficiency and trans-regional water transfer. Compared with 2015, among the optimal program obtained, the change range of the water use per 10,000 RMB of agricultural output is (−5%, 25%), and the water use per 10,000 RMB of industrial added value is (−45%, −35%), and the maximum water transfer is 1.5 billion m3 per year in 2030. This study analyzes the development pattern of WRCC in the process of water conservancy modernization in Jilin Province and provides reference for other provinces to make the similar plan.

scholarly journals Assessment of Water Resources and Analysis of Safe Yield and Reliability of Surface Water Reservoirs of Asmara Water Supply System

2017 ◽  
Vol 7 (1) ◽  
pp. 45
Author(s):  
Kahsay N. Zeraebruk ◽  
Alfred O. Mayabi ◽  
John M. Gathenya
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Water Balance ◽  
Water Supply ◽  
Water Demand ◽  
Assessment Tool ◽  
Supply System ◽  
Water Supply System ◽  
Balance Model ◽  
Safe Yield

In a water supply system safe yield is the average annual volume that can be supplied to the system subject to an adopted set of operational rules and a typical demand pattern without violating a given level of service standard. It is dependent upon storage and hydrologic (rainfall/runoff/evaporation) characteristics of the sources, the source facilities, upstream and downstream permitted withdrawals and minimum in-stream flow requirements.For effective operation and management of a water supply system, it is important to have knowledge of water balance of the reservoirs and estimate their safe yield at a certain level of reliability. In this study, to assess water resources potential of existing surface water sources and new catchments and estimate the water balance of the water supply system, the hydrologic simulation model, SWAT (Soil and Water Assessment Tool) was utilized. The model was calibrated and validated successfully. The safe yield and corresponding reliability of reservoirs were estimated using a deterministic water balance model. The results of the water balance analysis and projected water demand were used to assess existing water supply situation and challenges in future. The assessment indicated that the gap between demand and supply at high population growth rate scenario is wide and very critical.To close the gap between the available water supply and the increasing water demand in the study area, utmost attention is needed by the decision making authorities and the management of the water utility to improve performance efficiency of the water supply system by instituting effective water governance and reducing leakage losses.

scholarly journals Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 364 ◽  
Author(s):  
Mo Li ◽  
Hao Sun ◽  
Vijay Singh ◽  
Yan Zhou ◽  
Mingwei Ma
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Resources Management ◽  
Water Demand ◽  
Irrigation District ◽  
Agricultural Water ◽  
Entropy Weight ◽  
Resources Management ◽  
Water Resources Carrying Capacity ◽  
Agricultural Water Resources

Allocation and management of agricultural water resources is an emerging concern due to diminishing water supplies and increasing water demands. To achieve economic, social, and environmental goals in a specific irrigation district, decisions should be made subject to the changing water supply and water demand—the two critical random parameters in agricultural water resources management. This paper presents the foundations of a systematic framework for agricultural water resources management, including determination of distribution functions, joint probability of water supply and water demand, optimal allocation of agricultural water resources, and evaluation of various schemes according to agricultural water resources carrying capacity. The maximum entropy method is used to estimate parameters of probability distributions of water supply and demand, which is the basic for the other parts of the framework. The entropy-weight-based TOPSIS method is applied to evaluate agricultural water resources allocation schemes, because it avoids the subjectivity of weight determination and reflects the dynamic changing trend of agricultural water resources carrying capacity. A case study using an irrigation district in Northeast China is used to demonstrate the feasibility and applicability of the framework. It is found that the framework works effectively to balance multiple objectives and provides alternative schemes, considering the combinatorial variety of water supply and water demand, which are conducive to agricultural water resources planning.

scholarly journals Remote Sensing and Geospatial Models to Simulate Land Use and Land Cover and Estimate Water Supply and Demand for Water Balancing in Phuket Island, Thailand

2021 ◽  
Vol 11 (22) ◽  
pp. 10553
Author(s):  
Nattapong Puangkaew ◽  
Suwit Ongsomwang
Keyword(s):  
Remote Sensing ◽  
Water Resources ◽  
Water Balance ◽  
Water Supply ◽  
Water Resources Management ◽  
Water Scarcity ◽  
Water Demand ◽  
Water Requirements ◽  
Resources Management ◽  
Ecological Water Requirements

Currently, Phuket Island is facing water scarcity because water demand for consumption was approximately 51 million m3/year, whereas water supply was only about 46 million m3/year. Thus, the study of water supply, demand and balancing are important for effective water resources management. This study aims to simulate the LULC data using the CLUE-S model, estimate water supply using the SWAT model, and calculate water demand using a water footprint basis for water balancing on the Island. In addition, tourist water demand was separately estimated under normal and new normal conditions (COVID-19 pandemic) to fit with the actual situation at national and international levels. Water balance results with the consideration of ecological water requirements suggest that a water deficit occurs every year under the dry year scenario in normal and new normal conditions. In addition, the monthly water balance indicates that a water deficit occurs in the summer season every year, both without and with the consideration of ecological water requirements. Consequently, it can be concluded that remote sensing data with advanced geospatial models can provide essential information about water supply, demand, and balance for water resources management, particularly water scarcity, in Phuket Island in the future. Additionally, this study’s conceptual framework and research workflows can assist government agencies in examining water deficits in other areas.

Water Resources Carrying Capacity Analysis of Huangshui River during the Period of the Twelfth Five-Year Plan

2015 ◽  
Vol 1092-1093 ◽  
pp. 1202-1208
Author(s):  
Ming Xia Jing
Keyword(s):  
Water Resources ◽  
Social Development ◽  
Carrying Capacity ◽  
Capacity Analysis ◽  
Environmental Resources ◽  
Water Resources Carrying Capacity ◽  
Capacity Level

This paper predicted HuangShui River carrying capacity level of environmental resources at the end of the "twelfth five-year" period and even longer, based on the economic and social development in the base year 2011 data, to provide reference for the development of various government related department reference.

Determination of the optimal capacity of a reservoir considering the effects of flood control volume change on its performance (case study: Darband dam, Iran)

2014 ◽  
Vol 9 (4) ◽  
pp. 509-518
Author(s):  
R. Shahsavan ◽  
M. Shourian
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Volume Change ◽  
Water Demand ◽  
Flood Control ◽  
Control Volume ◽  
Study Phase ◽  
Hydroelectric Power ◽  
Software Environment ◽  
Optimal Capacity

Water storage using dams is a perfect solution for agricultural, industrial, drinking water supply, flood control, hydroelectric power generation, and other purposes. Integrated management of water resources involves the development, management, protection, regulation and beneficial use of surface- and ground- water resources. The reliability of water supply reservoirs depends on several factors, e.g. the physical characteristics of the reservoir, the time series of river discharge, climatic conditions, the amount of demand, and the method of operation. If a portion of a dam's volume is kept empty for flood control, the confidence values of taking the bottom water demand will be reduced. In this paper, a yield-storage model developed in a MATLAB software environment is used to determine the optimal capacity of Darband dam in northeast Iran (the study phase). The reservoir's performance with respect to demand downstream, e.g. from industry and agriculture, and for potable use, was studied, and the results compared for scenarios in flood control volume change conditions. The results show that, for a capacity of 80 Mm3, the reliability values for meeting agricultural, environmental, and potable water demand are estimated at 0.922, 0.927, and 0.942, respectively. If the reservoir's capacity is changed from 80 to 350 Mm3, the reliability values increase by only about 7%.

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