Quantification and Evaluation of Grey Water Footprint in Yantai

Xue, Ming; Lü, Jian; Wu, Jun; Zhang, Zhenhua; Chen, Liwei

doi:10.3390/w14121893

Cited by 11 publications

(6 citation statements)

References 42 publications

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“…The formulas are as follows: NH -H natural background concentration in the receiving water body or environment, respectively, both of which were taken as 0 kg/m 3 (Meng et al, 2022).…”

Section: Domestic Wf Calculationmentioning

confidence: 99%

“…A is the planting area of crops, hm 2 ; c K is the crop coefficient; and 0 E T is the reference crop evapotranspiration, calculated by using the Penman-Monteith formula from the CROPWAT model (Cai et al, 2022) C is the natural local concentration of nitrogen in the receiving water body, and the value is 0 kg/m 3 (Meng et al, 2022). a is the loss rate of chemical fertilizer, which is 10.1% (Wang et al, 2021).…”

Section: Agricultural Wf Calculationmentioning

confidence: 99%

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System Dynamics Simulation and Scenario Optimization of China's Water Footprint under Different SSP-RCP Scenarios

Jiang

Ouyang

Wang

et al. 2022

Preprint

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Under the dual influence of socioeconomic development and climate change, water resources in China are under increasing stress. It is of great significance to comprehensively explore the changing trend of China’s water footprint (WF) in the future, clarify the water resource challenges that China will face, and alleviate water shortage and water pollution problems. This paper uses System Dynamics (SD) to build a simulation model of China’s WF, calculate China’s WF from 2000 to 2019, and for the first time, simulate and optimize China’s WF from 2020 to 2050 under the SSP-RCP scenario matrix composed of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs). The results are as follows. (1) From 2000 to 2019, China’s WF increased to 2009 and began to decline. The main contributors are gray WF and agricultural WF. (2) From 2020–2050, different socioeconomic development and climate change conditions under the five SSP-RCP scenarios will lead to different trends in China’s WF and its composition. (3) Based on the changes in WF and water resources supply/demand ratio under different scenarios, the SSP1-2.6 scenario is the best scenario to mitigate a future water shortage and water pollution in China. The research results can help decision-makers formulate relevant management policies and socioeconomic development models for water resource utilization and provide decision support for alleviating water shortages and water pollution in China.

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“…The formulas are as follows: NH -H natural background concentration in the receiving water body or environment, respectively, both of which were taken as 0 kg/m 3 (Meng et al, 2022).…”

Section: Domestic Wf Calculationmentioning

confidence: 99%

Section: Agricultural Wf Calculationmentioning

confidence: 99%

System Dynamics Simulation and Scenario Optimization of China's Water Footprint under Different SSP-RCP Scenarios

Jiang

Ouyang

Wang

et al. 2022

Preprint

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“…The term "grey water footprint" (GWF) component pertains to the number of contaminated waters linked to the production of goods and services. It is measured as the volume of water needed to decrease pollutants to a level where the condition of the surrounding water remains higher than the established water quality standards [1,2]. The agricultural industry is among the five largest sectors that contribute grey water globally [3].…”

Section: Introductionmentioning

confidence: 99%

“…In their study, Ariyani [6] conducted an analysis of the grey water footprint associated with rice-straw pulp. The study conducted by Meng [2] focuses on the quantification and evaluation of the grey water footprint in the region of Yantai.…”

Section: Introductionmentioning

confidence: 99%

Grey water footprint of crop in Riau Province

Titisari,

Elfis,

Maryanti

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The escalating severity of the water problem poses a potential threat to the prospects of sustainable development in the future. The grey water footprint is an indicator of the need for fresh water to mix and dilute pollutants and maintain air quality according to water quality standards. The evaluation of the grey water footprint (GWF) serves as a valuable measure in the mitigation and management of water contamination. The main objective of this study is to determine the grey water footprint associated with crop production along the Kampar Watershed and develop strategies to mitigate pollution levels. The grey water footprint is calculated using a water footprint assessment method. The finding show that the grey water footprint of rice farming (17.01 m3/ton) is larger than the maize (9.51 m3/ton), this indicate that necessary to improve water management on rice and maize agriculture. The water footprint performance scores of rice and corn plants are both in the poor category with scores of 11.93 and 45 respectively. To improve grey water performance and reduce air pollution, it can be done by using fertilizer according to plant needs, replacing inorganic fertilizer with organic fertilizer, implementing practices conventional tillage and maintain soil moisture.

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“…An important solution in the area of water treatment is the recycling of grey water, called grey wastewater. This method is increasingly popular in highly developed and developing countries [24]. Grey water is used for non-food purposes, but for reasons of hygiene, aesthetics, usability, and sanitary safety, it is necessary to treat it beforehand [25].…”

Section: Introductionmentioning

confidence: 99%

Modelling Possible Household Uses of Grey Water in Poland using Property Fitting Analysis

Ober,

Karwot,

Sitinjak

2024

Resources

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One of the most important methods of optimising water consumption is grey water recycling. From a technological point of view, the treatment of grey water guarantees that it can be reused for domestic or corporate purposes, but it raises the issue of the social acceptance of the use of such water. This study aimed to assess the possibility of using grey water in households in Poland. The originality of this research study lies in the application of the PROFIT method for the separate construction of models of the benefits of grey water according to user groups. Four groups were identified, differentiated by gender and age; age and possession of an irretrievable water meter; gender and place of residence; place of residence and possession of an irretrievable water meter. To answer the formulated research questions, a diagnostic survey method was used, in which 807 randomly selected respondents from all over Poland were surveyed. The results of the survey indicate that homeowners perceive the potential use of grey water as beneficial, pointing most often to the following factors: rebuilding groundwater levels, reduced extraction of drinking water from rivers and other water bodies, and increased vegetation growth. On the other hand, they are concerned about the need to reconstruct the existing water and sewerage systems in order to produce drinking water from grey water as well as about the high cost and parameter stability of drinking water produced from grey water. Furthermore, men and older people attribute less importance to measures related to the introduction of good practices based on the reuse of recycled water in water management. Women, on the other hand, appreciate almost all opportunities to use grey water to a greater extent than men.

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Quantification and Evaluation of Grey Water Footprint in Yantai

Cited by 11 publications

References 42 publications

System Dynamics Simulation and Scenario Optimization of China's Water Footprint under Different SSP-RCP Scenarios

System Dynamics Simulation and Scenario Optimization of China's Water Footprint under Different SSP-RCP Scenarios

Grey water footprint of crop in Riau Province

Modelling Possible Household Uses of Grey Water in Poland using Property Fitting Analysis

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