Your search found 12 records
1 Li, C.. 1988. The evaluation of Jinghui canal project. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.378-388.
(Location: IWMI-HQ Call no: 631.7.8 G000 PRO Record No: H06684)
2 Yang, D.; Li, C.; Hu, H.; Lei, Z.; Yang, S.; Kusuda, T.; Koike, T.; Musiake, K. 2004. Analysis of water resources variability in the Yellow River of China during the last half century using historical data. Water Resources Research, 40:12p.
(Location: IWMI-HQ Call no: P 6997 Record No: H035312)
3 Li, C.; Yang, Z.; Wang, X. 2004. Trends of annual natural runoff in the Yellow River Basin. Water International, 29(4):447-454.
(Location: IWMI-HQ Call no: PER Record No: H036712)
4 Ren, L.; Wang, M.; Li, C.; Zhang, W. 2002. Impacts of human activity on river runoff in the northern area of China. Journal of Hydrology, 261:204-217.
Rivers ; Runoff ; Precipitation ; Catchment areas / China / Yellow River / Haihe River / Luanhe River ; Songhuajiang River
(Location: IWMI-HQ Call no: P 7363 Record No: H037128)
5 Zhao, C.; Liu, L.; Wang, J.; Huang, W.; Song, X.; Li, C.. 2005. Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress. International Journal of Applied Earth Observation and Geoinformation, 7(1):1-9.
Remote sensing ; Satellite surveys ; Nitrogen ; Water stress ; Wheat ; Irrigated farming / China / Beijing
(Location: IWMI-HQ Call no: P 7663 Record No: H039412)
6 Yang, D.; Li, C.; Musiake, K.; Kusuda, T. 2003. Development of a distributed hydrological model for the Yellow River Basin. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management – Volume III. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.213-225.
Hydrology ; Simulation models ; River basins ; Flow ; Discharges ; Water balance ; Water resource management ; Soil properties ; Water balance ; Soil moisture / China / Yellow River
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H034679)
7 Salas, W.; Boles, S.; Li, C.; Yeluripati, J. B.; Xiao, X.; Frolking, S.; Green, P. 2007. Mapping and modelling of greenhouse gas emissions from rice paddies with satellite radar observations and the DNDC biogeochemical model. Aquatic Conservation: Marine and Freshwater Ecosystems, 17(3):319-329.
Rice ; Decision support tools ; Mapping ; Models ; GIS ; Greenhouse gases ; Methane ; Nitrous oxide / India / Andhra Pradesh / Vijayawada
(Location: IWMI HQ Call no: P 7887 Record No: H040099)
8 Li, C.; Gan, Y.; Zhang, C.; He, H.; Fang, J.; Wang, L.; Wang, Y.; Liu, J. 2021. "Microplastic communities" in different environments: differences, links, and role of diversity index in source analysis. Water Research, 188:116574. [doi: https://doi.org/10.1016/j.watres.2020.116574]
Microplastics ; Communities ; Freshwater ecosystems ; Marine environment ; Sea water ; Sediment ; Soil pollution ; Water pollution ; Polymers ; Risk assessment / China
(Location: IWMI HQ Call no: e-copy only Record No: H050135)
(2.95 MB)
Microplastics have been detected in various environments, yet the differences between microplastics in different environments are still largely unknown. Scientists have proposed the concept of the “microplastic cycle,” but the evidence for the movement of microplastics between different environments is still scarce. By screening the literature and extracting information, we obtained microplastic data from 709 sampling sites in freshwater, seawater, freshwater sediment, sea sediment, and soil in China. Based on the similarity between microplastics and biological communities, here we propose the concept of a “microplastic community” and examine the differences, links, and diversity of microplastic communities in different environments. Wilcoxon sign-ranks test, Kruskal-Wallis test, and analysis of similarities (ANOSIM) showed that there were significant differences in abundance, proportion of small microplastics, and community composition (shape, color, and polymer types) of microplastics in different environments. The Mantel test showed that there were significant correlations between microplastic community composition in different environments. Network analysis based on community similarity further confirmed the links between microplastic communities. The distance decay models revealed that the links weakened with the increase of geographic distance, suggesting that sampling sites with closed geographical locations had similar pollution sources and more easily to migrate or exchange microplastics. The microplastic diversity integrated index (MDII) was established based on the diversity of microplastic shape, color, and polymer types, and its indication of the number of microplastic pollution sources was verified by the statistical fitting relationship between the number of industrial pollution sources and MDII. Our study provides new insight into the differences and links between microplastics in different environments, which contributes to the microplastic risk assessment and demonstrates the “microplastic cycle.” The establishment of the microplastic diversity integrated index could be used in source analysis of microplastics.
9 Han, D.; Huang, J.; Ding, L.; Liu, X.; Li, C.; Yang, F. 2021. Oxygen footprint: an indicator of the anthropogenic ecosystem changes. Catena, 206:105501. (Online first) [doi: https://doi.org/10.1016/j.catena.2021.105501]
Oxygen consumption ; Anthropogenic climate change ; Dryland ecosystems ; Land degradation ; Air temperature ; Greenhouse gas emissions ; Precipitation ; Evapotranspiration ; Vegetation ; Indicators
(Location: IWMI HQ Call no: e-copy only Record No: H050425)
(6.21 MB)
Drylands are one of the most sensitive areas to anthropogenic climate change and are projected to experience accelerated expansion throughout the end of this century. However, the responses of drylands degradation to anthropogenic ecosystem changes remain unclear. This study proposes a new perspective of the ‘oxygen footprint’, defined as the ratio between oxygen consumption and oxygen production, which could be regarded as an indicator in evaluating the effects of anthropogenic climate change on global dryland ecosystems. A global distribution of the trend of oxygen footprint in response to climate change indicators and the transformations for ecosystem functioning is presented. The response of oxygen footprint to human activities and global warming is projected to enhance in the 21st century. Under a high emissions scenario (RCP8.5), linear regression analysis between oxygen footprint and other indicators shows oxygen footprint to increase with the increase of air temperature, precipitation, potential evapotranspiration and dryland areas, respectively. Our study suggests that when oxygen production is unsustainable combined with oxygen consumption, this scenario will accelerate the degradation of dryland ecosystem, with fundamental and negative consequences for the capacity of drylands to supply essential ecosystem services.
10 Wu, Y.; Xu, Y.; Yin, G.; Zhang, X.; Li, C.; Wu, L.; Wang, X.; Hu, Q.; Hao, F. 2021. A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin. Hydrology Research, 52(5):1159-1172. [doi: https://doi.org/10.2166/nh.2021.146]
Hydrology ; Ecosystem services ; Semiarid zones ; Frameworks ; Models ; Water resources ; Water supply ; Water yield ; Sediment ; Runoff ; Precipitation ; Vegetation ; Land cover ; Hydropower / China / Yixunhe River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050811)
https://iwaponline.com/hr/article-pdf/52/5/1159/950726/nh0521159.pdf
https://vlibrary.iwmi.org/pdf/H050811.pdf
https://vlibrary.iwmi.org/pdf/H050811.pdf
(0.52 MB) (536 KB)
Applying various models to assess hydrologic ecosystem services (HESs) management has the potential to encourage efficient water resources allocation. However, can a single model designed on these principles be practical to carry out hydrologic ecosystem services management for all purposes? We address this question by fully discussing the advantages of the variable infiltration capacity (VIC) model, the soil and water assessment tool (SWAT), and the integrated valuation of ecosystem services and tradeoffs (InVEST) model. The analysis is carried both qualitatively and quantitatively at the Yixunhe River basin, China, with a semi-arid climate. After integrating the advantages of each model, a collaborated framework and model selection method have been proposed and validated for optimizing the HESs management at the data sparse scenario. Our study also reveals that the VIC and SWAT model presents the better runoff reproducing ability of the hydrological cycle. Though the InVEST model has less accuracy in runoff simulation, the interannual change rate is similar to the other two models. Furthermore, the InVEST model (1.08 billion m3) has larger simulation result than the SWAT model (0.86 billion m3) for the water yield, while both models have close results for assessment of sediment losses.
11 Zhang, R.; Wu, J.; Yang, Y.; Peng, X.; Li, C.; Zhao, Q. 2022. A method to determine optimum ecological groundwater table depth in semi-arid areas. Ecological Indicators, 139:108915. [doi: https://doi.org/10.1016/j.ecolind.2022.108915]
Groundwater table ; Water depth ; Indicators ; Ecological factors ; Semiarid zones ; Models ; Normalized difference vegetation index ; Uncertainty ; Remote sensing ; Soil water content ; Populus / China / Inner Mongolia / Hetao Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H051128)
https://www.sciencedirect.com/science/article/pii/S1470160X22003867/pdfft?md5=99831de53fd285ba271967a2781724db&pid=1-s2.0-S1470160X22003867-main.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
(9.24 MB) (9.24 MB)
Groundwater depth (GWD) is an important factor to sustain the ecological integrity of some ecosystems and is often used as an indicator of environmental quality in dry areas. Single-scale data gained from quadrat surveys is always used to establish a relationship with GWD to determine the optimum GWD. However, the randomness and uncertainty in single-scale data may result in insufficient reliability of results. To overcome this shortage, multiple growth indicators of poplar trees (Populus euphratica) in Hetao Irrigation District, including average crown width (ACW), tree height, diameter at breast height (DBH), mean ring spacing (MRC), and normalized difference vegetation index (NDVI), were acquired by field sampling and remote sensing. These indicators were used to establish relationships with the GWD by considering spatial and temporal variation to identify the optimum GWD. The cloud model was introduced and its three digital features derived from optimum groundwater depth data (expectation: Ex, entropy: En, and super-entropy: He) were calculated to construct the reverse cloud models W (Ex, En, He) for describing ecological GWD to determine the optimum ecological GWD in semi-arid areas. The results show that the optimum GWD range was 1.60–2.20 m. The cloud models obtained on spatial and temporal scales were WS (2.01, 0.07, 0.04) and WT (1.78, 0.10, 0.02), respectively. The resulting comprehensive cloud model WC (1.87, 0.14, 0.03) exhibited better variability, so 1.87 m was taken as the optimum GWD for poplars. This method can determine the regional ecological groundwater level more accurately and effectively, and provide evaluation indicators for the management of regional groundwater.
12 Yi, Y.; Yang, M.; Fu, C.; Li, C.. 2024. Transboundary pollution control with ecological compensation in a watershed containing multiple regions: a dynamic analysis. Water Resources and Economics, 46:100242. [doi: https://doi.org/10.1016/j.wre.2024.100242]
Ecological factors ; Compensation ; Watersheds ; Transboundary pollution ; Pollution control ; River basins ; Social welfare / China
(Location: IWMI HQ Call no: e-copy only Record No: H052762)
(4.01 MB)
A watershed consists of more than two regions intending to apply ecological compensation to solve the transboundary pollution problems. For this purpose, we develop a differential game model to investigate each region's optimal strategy and show the following main conclusions: (1) There is a set of optimal ecological compensation rates that improve the welfare of each region and produce Pareto improvement results. (2) Ecological compensation shifts partial pollution reduction investments from downstream to upstream regions and increases total reduction investments in the basin. (3) Ecological compensation improves the water ecosystem and increases each region's yield and income level.
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