Your search found 5 records
1 Guanghe, L.; Xiang, L.; Kun, Z. 1996. Influence of wastewater irrigation on shallow groundwater quality in Zhengzhou City. Water Resources Journal, 188:67-71.
Irrigation water ; Wastewater ; Water quality ; Groundwater ; Mathematical models ; Water pollution / China / Zhengzhou
(Location: IWMI-HQ Call no: PER Record No: H018632)
2 He, Y.; Su, Z.; Jia, L.; Zhang, Y.; Roerink, G.; Wang, S.; Wen, J.; Hou, Y. 2005. Estimation of daily evapotranspiration in Northern China Plain by using MODIS/TERRA images. In Owe, M.; D’Urso, G. (Eds.). Remote Sensing for Agriculture, Ecosystems, and Hydrology VII. Proceedings of The International Society of Optical Engineering (SPIE), Bruges, Belgium, 20-22 September 2005. Vol.59761. 59761M-1:12p.
Evapotranspiration ; Estimation ; Remote sensing ; Models / China / Beijing / Shunyi County / Northern China Plain / Zhengzhou / HuangHuaiHai Plain
(Location: IWMI-HQ Call no: P 7708 Record No: H039591)
3 Sun, R.; Liu, Y.; Qian, Y.; Villholth, K. G. 2009. Agricultural groundwater issues in North China: a case study from Zhengzhou municipal area. In Mukherji, Aditi; Villholth, K. G.; Sharma, Bharat R.; Wang, J. (Eds.) Groundwater governance in the Indo-Gangetic and Yellow River basins: realities and challenges. London, UK: CRC Press. pp.183-200. (IAH Selected Papers on Hydrogeology 15)
Irrigated farming ; Tube wells ; Ownership ; Cost recovery ; Groundwater management ; Groundwater development ; Water law ; Water governance ; Drilling ; Aquifers ; Water pollution ; Water shortage ; Water table ; Villages ; Groundwater recharge ; Discharges ; Farm income ; Crop management / China / Zhengzhou / Xinmi County / Xingyang County
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G570 MUK Record No: H042229)
4 Feng, M.; Zhao, R.; Huang, H.; Xiao, L.; Xie, Z.; Zhang, L.; Sun, J.; Chuai, X. 2022. Water-energy-carbon nexus of different land use types: the case of Zhengzhou, China. Ecological Indicators, 141:109073. [doi: https://doi.org/10.1016/j.ecolind.2022.109073]
Water use ; Energy consumption ; Carbon ; Nexus approaches ; Land use change ; Emission reduction ; Forecasting ; Farmland ; Cultivated land ; Grasslands / China / Zhengzhou
(Location: IWMI HQ Call no: e-copy only Record No: H051284)
https://www.sciencedirect.com/science/article/pii/S1470160X22005441/pdfft?md5=606b6ab5b5570b0730dfb2db44dfe8a2&pid=1-s2.0-S1470160X22005441-main.pdf
https://vlibrary.iwmi.org/pdf/H051284.pdf
https://vlibrary.iwmi.org/pdf/H051284.pdf
(2.63 MB) (2.63 MB)
The rapid urban expansion of China has led to a large amount of water and energy consumption, and caused drastic growth of carbon emissions. Discovering the water–energy–carbon nexus of different land use types helps explain the interactions between resources capacity and environmental effects of land use activities, as well as provides reasonable options for land use management based on water–energy conservation and carbon emission reduction. In this paper, carbon emission/absorption of different land use types was estimated and the water–energy–carbon nexus of different land use types in Zhengzhou was analyzed. Through the SD model, the future carbon emissions of different scenarios were predicted under water, energy, and land constraints. It showed that total carbon emission increased and carbon absorption reduced along with the land use change during the rapid urbanization process of Zhengzhou city. The water and energy consumption and carbon emissions of different land use types were determined by the different intensities and their spatial patterns of human activities. Therefore, carbon emission and its intensity varied with land use types and water–energy–carbon nexus was closely related to land use types. The carbon emission prediction showed that the carbon emission reduction potential was the highest and the peak carbon emission (40.18 × 106 t) occurred in 2025 under a comprehensive scenario, which was designed with water–energy saving and optimization of land use structure. This study could provide references for policy–makers to formulate differentiated strategies for different land use activities, and contribute to realize water–energy saving and efficient utilization of land and the emission reduction of Zhengzhou city.
5 Yuan, D.; Du, M.; Yan, C.; Wang, J.; Wang, C.; Zhu, Y.; Wang, H.; Kou, Y. 2024. Coupling coordination degree analysis and spatiotemporal heterogeneity between water ecosystem service value and water system in Yellow River Basin cities. Ecological Informatics, 79:102440. (Online first) [doi: https://doi.org/10.1016/j.ecoinf.2023.102440]
Ecosystem services ; Models ; Towns ; Urbanization ; Water quality ; Indicators ; Water resources ; Wastewater ; Water pollution / China / Yellow River Basin / Lanzhou / Yinchuan / Hohhot / Xi'an / Zhengzhou / Jinan
(Location: IWMI HQ Call no: e-copy only Record No: H052430)
https://www.sciencedirect.com/science/article/pii/S1574954123004697/pdfft?md5=6c5a2b78ac65a17f1fc91045bbbe3ee2&pid=1-s2.0-S1574954123004697-main.pdf
https://vlibrary.iwmi.org/pdf/H052430.pdf
https://vlibrary.iwmi.org/pdf/H052430.pdf
(11.70 MB) (11.7 MB)
Accelerated urbanization has caused encroachment on urban water ecological land in China's Yellow River basin, resulting in a strong disturbance of water ecosystem service functions and increasingly serious water ecological environmental problems. In this study, two entities—water ecosystem service value (WESV) and the urban water system—are identified, to investigate the interactions between WESV and the urban water systems and their subsystems in six Yellow River basin cities (Lanzhou, Yinchuan, Hohhot, Xi'an, Zhengzhou, and Jinan) from 2005 to 2020. First, the integrated level of the WESV and the water system in each city is calculated using the modified and developed method of equivalence factor per unit area and the entropy method, respectively. Then, the coupling coordination relationship and interactions between WESV and the water system in each city are revealed by using the coupling coordination degree model (CCDM) and the Geographically and Temporally Weighted Regression (GTWR). The results show that: 1) The level of both WESV and the water system in each city basically shows an increasing trend, the hydrological regulation function dominates the water ecosystem service functions, and the comprehensive evaluation level of the water environment is generally higher than that of the other urban water system's subsystems. 2) The degree of coupling coordination between WESV and the water system in each city gradually rose from extreme incoordination to basically coordination, and the coupling coordination degree (CCD) between WESV and the water environment and the water resources also shows an obvious upward trend, but the CCD between WESV and water safety is developing more slowly. 3) The area where the WESV and the water system have greater positive impacts are primarily focused in Lanzhou and Xi'an, while the negative impacts are mainly located in Yinchuan and Zhengzhou. In summary, in the planning and decision-making of cities in the Yellow River basin or other basin cities, it is critical to promote the protection of water ecology and high-quality development in cities by clearly understanding the interaction between water ecosystem services and the water system, and coordinating and balancing development between the two systems.
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