Assessing effects of non-point source pollution emission control schemes on Beijing's sub-center with a water environment model

Ji, Haoyu; Peng, Danling; Fan, Chuting; Zhao, Keke; Gu, Yu; Liang, Yaqi

doi:10.1016/j.uclim.2022.101148

Cited by 26 publications

(11 citation statements)

References 64 publications

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“…Tongzhou District (Figure 1) covering an approximate area of 906 km 2 is located in Beijing at 39 • 36′N-40 • 02′N and 116 • 32′E-116 • 56′E. [25] By 2020, there was 1.84 million population in the district. In Tongzhou, the main rivers include the Xiaozhong River, Wenyu River, Yunchaojian River, Chaobai River, Tonghui River, Beiyun River, Yudai River, Xiaotaihou River, Liangshui River, Fenggangjian River, and Ganggou River, etc.…”

Section: Study Areamentioning

confidence: 99%

Dynamic changes of net anthropogenic nitrogen/phosphorus input and its riverine export in the Beijing's subcenter

Luo,

Peng,

Shang

et al. 2024

CLEAN Soil Air Water

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Due to human activities, the overabundance of regional nitrogen/phosphorus (N/P) has a huge impact on ecological environment worldwide. It is necessary to comprehensively understand the human‐induced N/P input and spatiotemporal variations of nutrients in a river. As the adjustment to the spatial structure of Beijing, the Beijing's subcenter is an important strategic position in promoting the coordinated development of Beijing–Tianjin–Hebei. In this study, the dynamic changes of ammonia nitrogen (NH3‐N) and total phosphorus (TP) from 2012 to 2022 were analyzed, then the net anthropogenic N input (NANI) and net anthropogenic P input (NAPI) was estimated in the Beijing's subcenter. The results showed that both NH3‐N and TP had an overall downward trend with a three‐stage pattern. The NANI and NAPI declined from 5.68 × 104 and 0.95 × 104 to 0.78 × 104 and 0.15 × 104 kg km−2 per year, respectively. The chemical fertilizers input accounted for the largest part at 53–81% of NANI and 49–80% of NAPI. There were high values of N and P input in the southeast of Tongzhou, and the fluxes of N and P were positively correlated with the input of anthropogenic N and P in the Chaobai River Basin (Tongzhou District) and the Beiyun River Basin (Tongzhou District). This study would provide the foundation for setting priorities and enacting more targeted N/P management strategies in the Beijing's subcenter.

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Section: Study Areamentioning

confidence: 99%

Dynamic changes of net anthropogenic nitrogen/phosphorus input and its riverine export in the Beijing's subcenter

Luo,

Peng,

Shang

et al. 2024

CLEAN Soil Air Water

Self Cite

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“…S denotes the impact of stress on the environmental status and represents the current state of the basin ecological environment, i.e., ecological state. Ji et al (2022) pointed out that pollution control to improve water quality is the key to water environment maintenance; therefore, the "water quality compliance rate of important rivers and lakes water function zones" was used as a measure. R denotes the improvement measures taken by the government in response to the current environmental pressure and status, and it represents the ecological management of the watershed, i.e., environmental governance.…”

Section: Pre-allocation Modelmentioning

confidence: 99%

A comprehensive model of basin ecological compensation funds—A case study of the Yellow River Basin in China

Zhang

Zou²,

Zhang³

2023

Front. Environ. Sci.

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The key issue in the ecological compensation mechanism in the Yellow River Basin (YRB) is the allocation of ecological compensation funds, which need to be optimized to maximize the comprehensive benefits of compensation. In this study, a comprehensive allocation model for ecological compensation funds in the YRB was constructed using the “doughnut” framework. A pre-allocation model was used to enhance the ecological benefits and quantifies the ecological value created by the compensated subjects. A pre-allocation scheme was then determined using the pre-allocation model. The optimal allocation model focuses on benefit sharing and sets a socioeconomic discrimination index system to optimize the pre-allocation scheme. Then, an empirical analysis was conducted using data from 28 regions in the upstream YRB from 2016 to 2020. The results showed that in the pre-allocation scheme, the proportion of funds was low in the west and high in the east. Each region received compensation funds based on the ecological benefits they provide. In the optimal allocation scheme, the proportion of funds received by the central and western regions in the upstream YRB should be higher, while the proportion of funds received by provincial capitals and economically strong cities should be lower, which is in line with the actual development situation in the upstream YRB. The final scheme can effectively meet the objectives of basin-wide sustainable development, ecological benefits enhancement, and benefit sharing in the YRB. This can help achieve basin-wide sustainable development and provide a reference for determining ecological compensation fund allocation schemes in other basins.

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“…In the same year, the region’s population reached 1.10 × 10 6 (~8% of China), and contributed 8.8% of the whole country’s GDP [ 43 ]. As a region with a dense population and a high degree of socioeconomic development, the BTH region is confronting serious water scarcity and pollution issues [ 44 , 45 , 46 ]. However, there is a significant imbalance in the urbanization levels in Beijing, Tianjin, and Hebei.…”

Section: Study Areamentioning

confidence: 99%

Exploring the Regional Coordination Relationship between Water Utilization and Urbanization Based on Decoupling Analysis: A Case Study of the Beijing–Tianjin–Hebei Region

Shen

Yao

2022

IJERPH

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Understanding the potential association between the urbanization process and regional water shortage/pollution is conducive to promoting the intensive utilization of local water resources. In this study, the water footprint model was used to estimate water utilization status in terms of both water quantity (virtual water footprint (VWF)) and water quality (grey water footprint (GWF)) in the Beijing–Tianjin–Hebei region (China) during 2004–2017. Their potential coordination relationship with the local urbanization process represented by the gross domestic product (GDP), population (POP), and built-up area (BA) was examined using the Tapio decoupling model. The results showed that from 2004 to 2017, (1) VWF in Beijing and Tianjin showed non-significant decreasing trends, with reductions of 1.08 × 109 and 1.56 × 109 m3, respectively, while that in Hebei showed a significant increasing trend, with an increase of 5.74 × 109 m3. This indicated a gradually increasing water demand in Hebei and decreasing demand in Beijing and Tianjin. In all three regions, the agricultural sector accounted for a relatively high proportion of VWF compared to other sectors. (2) GWF in Beijing, Tianjin, and Hebei all showed declining trends, with reductions of 2.19 × 1010, 2.32 × 1010, and 1.66 × 1011 m3, respectively, indicating considerable local water quality improvement. The domestic sector contributed as the main component of GWF in Beijing, while agriculture was the main contributor in Hebei. The major contributor in Tianjin transitioned from the domestic (before 2015) to the agricultural sector. (3) We found good coordination between VWF and GDP in all three regions, as their local economic development was no longer overly dependent on water consumption. However, the expansion of urban built-up area or population would bring about accelerated depletion of water resources. (4) GWF in the three provinces showed good coordination with GDP, POP, and BA in most years, implying that the development of urbanization no longer strongly caused the pollution of water resources. In sum, policymakers should focus on improving agricultural irrigation efficiency and residents’ awareness of water conservation, so as to gradually achieve sustainable water resource management in the BTH region.

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Assessing effects of non-point source pollution emission control schemes on Beijing's sub-center with a water environment model

Cited by 26 publications

References 64 publications

Dynamic changes of net anthropogenic nitrogen/phosphorus input and its riverine export in the Beijing's subcenter

Dynamic changes of net anthropogenic nitrogen/phosphorus input and its riverine export in the Beijing's subcenter

A comprehensive model of basin ecological compensation funds—A case study of the Yellow River Basin in China

Exploring the Regional Coordination Relationship between Water Utilization and Urbanization Based on Decoupling Analysis: A Case Study of the Beijing–Tianjin–Hebei Region

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