Water resources carrying capacity of wetlands in Beijing: Analysis of policy optimization for urban wetland water resources management

Wang, Changhai; Hou, Yilei; Xue, Yongji

doi:10.1016/j.jclepro.2017.03.204

Cited by 91 publications

(31 citation statements)

References 43 publications

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“…In summary, the current research mainly aims at single factor research on carrying capacity or the use of different models and methods to discuss the development layout of land space [42][43][44], seldom linking the study of RECC with land space planning or zoning. Meanwhile, research on land space development zoning based on the spatial differentiation of regional RECC is still rare, and there is no sufficient empirical research at the provincial level.…”

Section: Introductionmentioning

confidence: 99%

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

Xie

2020

IJERPH

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As a key element in China’s spatial planning, the development zoning of land space has become a focus of China’s current activity. During its rapid social and economic development, China has faced severe and diverse challenges regarding sustainable development, such as farmland occupation, environmental degradation, urban land disorder expansion, etc. Against this backdrop, research on the linkage between resource–environmental carrying capacity (RECC) and the development zoning of land space in the process of sustainable development has received increased attention, and an accurate evaluation of the RECC would provide useful guidance for Chinese policy makers to carry out the development zoning of land space. This paper uses Henan Province as an example to construct a comprehensive evaluation model of “resource carrying capacity (RCC)–eco–environmental carrying capacity (EECC)–socio–economic carrying capacity (SECC)”, which calculates the level of RECC in a provincial area. In addition, this paper designs a correlation model between the RECC and the development zoning of land space, which uses a three-dimensional magic cube evaluation model to analyze the development zoning layout of land space. The results showed that a geographical pattern exists, where in the southwestern areas of Henan Province have a higher RECC than the central and northeastern areas. The results also indicated that the land space patterns of Henan Province can be divided into seven types of areas through a three-dimensional magic cube evaluation model, which can better reflect the spatial differentiation characteristics of the comprehensive index of RECC. The results of this study offer an important reference for policy-makers to make decisions and also provide a scientific and pragmatic basis for the formulation of sustainable development strategies.

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Section: Introductionmentioning

confidence: 99%

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

Xie

2020

IJERPH

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“…Climate change which regulates water supply on a macro scale, can alter the water yield by changing the precipitation and potential evapotranspiration in a watershed [24,25]. The water yield may change because of human-induced land use [26,27]. Previous studies have explored the effects of land use changes on spatial and temporal variations in water yield [28][29][30].…”

mentioning

confidence: 99%

Assessing Changes of Water Yield in Qinghai Lake Watershed of China

Lian

Yuan

Wang

et al. 2019

Water

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Water yield is an important ecosystem service, which is directly related to human welfare and affects the sustainable development. Using the integrated valuation of environmental services and tradeoffs model (InVEST model), we simulated the dynamic change of water yield in Qinghai lake watershed, Qinghai, China, and verified the simulation results. This paper emphatically explored how precipitation change and land use/land cover change (LUCC) affected the change of water yield on the spatial and temporal scales. Before 2004, the areas of cultivated land and unused land showed a dramatic increasing tendency, while forestland and water area presented a decreasing trend. After 2004 cultivated land changed slowly, unused land decreased. Grassland revealed a general trend of decline during 1977-2018, while built-up land basically presented a linear increase. The results show that water yield fluctuated and increased during 1977 . From 1977 to 2000, the mean water yield in each sub-watershed showed an increasing trend and afterward a decreasing one. After 2000, the sub-watersheds basically showed an increasing tendency. There was a strong correlation, with a correlation coefficient of 0.954 ** (** correlation is significant at the 0.01 level), between precipitation and water yield. Land use/land cover change can change the hydrological state of infiltration, evapotranspiration, and water retention. Meanwhile, the correlation between built-up land and water yield was the highest, with a correlation coefficient of 0.932, followed by forestland, with a correlation coefficient of 0.897. Through the analysis of different scenarios, we found that compared with land use/land cover change, precipitation played a more dominant role in affecting water yield.Water 2020, 12, 11 2 of 18 accuracy of the model output and the validation and evaluation of the performance of models in different circumstances and locations [11,12]. The input parameters have a great influence on the output results of the model. Many studies use sensitivity analysis methods to analyze the dependence between model output and variables [13,14], and in turn adjust model input parameters to find a set of optimal parameters. In fact, the input parameters of water yield module need to be calculated by physical equation or empirical equation [15,16]. So, we should make the input parameters more reasonable and accurate by standardizing the input data and taking full account of the regional characteristics and differences. In addition, the output results of the model are compared and verified through the observation data to evaluate the performance of the model without sensitive analysis methods and parameter adjustment, so as to provide a supporting evidence for us to use the model in the similar areas without measured data or insufficient data.Since the 1970s, many distributed hydrological models, including soil and water assessment tool (SWAT) [17], artificial intelligence for ecosystem services (ARIES) [18], integrated valuation of ecosystem services and trade...

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“…Direct drinking reuse alludes to the injection of greatly treated reclaimed water either directly into the drinking water supply distribution system downstream of a water treatment plant [62][63][64][65][66][67][68][69][70], or into the raw water supply immediately upstream of a water treatment plant (Table 2). Indirect potable reuse alludes to the planned incorporation of reclaimed water into a raw water supply, such as in potable water storage reservoirs or a groundwater aquifer, resulting in mixing and assimilation, thus providing an environmental buffer [31,[71][72][73][74][75][76][77]. Table 2.…”

Section: Direct Drinking Recycling Of Reclaimed Watermentioning

confidence: 99%

Water Reuse (WR): The Ultimate and Vital Solution for Water Supply Issues

Ghernaout¹

2017

IJSDR

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Nowadays the humankind is urgently invited to make available for potable use satisfactory quantities of good quality water to its increasing population. There is a big effort by the water treatment specialists to analyze the solutions the humankind has at its disposition to respond to these risks. The contribution of water reuse (WR) would be great in the humankind's water tomorrow. This review aims to discuss the growing WR technology as a future solution for water supply issues. WR is broadly applied by industries to decrease the consumption of clean water. WR process should employ treated wastewater mixed with surface water at a certain proportion depending on the degree of purity of the treated water and assuring the dilution effect. WR should not employ at any case only wastewater, for safeguard reasons and psychological effects. WR should be obviously more sophisticated than both water treatment and wastewater treatment since pathogens contamination and chemicals presence can be there most elevated. Since pharmaceutical products and cosmetics substances at trace levels are found in tap water, should we assist to a new formulation of water treatment technology? This will be feasible if water treatment/wastewater treatment/WR would be merged in a super and highly standardized water/wastewater treatment technology, as a future trend.

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Water resources carrying capacity of wetlands in Beijing: Analysis of policy optimization for urban wetland water resources management

Cited by 91 publications

References 43 publications

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

Assessing Changes of Water Yield in Qinghai Lake Watershed of China

Water Reuse (WR): The Ultimate and Vital Solution for Water Supply Issues

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