Your search found 6 records
1 Zhang, K.; Dang, Y.; Miao, F. 1995. Apple coloring and yield studies under micro-sprinkler systems. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.835-839.
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018950)
2 Zhang, K.; Woodbury, A. D.; Dunbar, W. S. 2000. Application of the Lanczos algorithm to the simulation of groundwater flow in dual-porosity media. Advances in Water Resources, 23(6):579-589.
(Location: IWMI-HQ Call no: PER Record No: H025958)
3 Xiao, B.; Wan, F.; Wu, C.; Zhang, K.. 2006. River cross-section surveying using RTK technology: the Yangtze River Project case study [China]. Coordinates, 11(12):12-17.
Rivers ; Case studies ; Technology ; Global positioning systems ; Surveys ; Flooding ; Water levels / China / Yangtze River
(Location: IWMI HQ Call no: e-copy only Record No: H044777)
http://mycoordinates.org/river-cross-section-surveying-using-rtk-technology/all/1/
https://vlibrary.iwmi.org/pdf/H044777.pdf
https://vlibrary.iwmi.org/pdf/H044777.pdf
(1.03 MB)
4 Xie, J.; Zhang, K.; Hu, L.; Pavelic, Paul; Wang, Y.; Chen, M. 2015. Field-based simulation of a demonstration site for carbon dioxide sequestration in low-permeability saline aquifers in the Ordos Basin, China. Hydrogeology Journal, 23(7):1465-1480. [doi: https://doi.org/10.1007/s10040-015-1267-9]
Carbon dioxide ; Carbon sequestration ; Saline water ; Aquifers ; River basins ; Geological process ; Reservoir storage ; Wells ; Temperature ; Porosity ; Permeability / China / Ordos Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047063)
(3.84 MB)
Saline formations are considered to be candidates for carbon sequestration due to their great depths, large storage volumes, and widespread occurrence. However, injecting carbon dioxide into low-permeability reservoirs is challenging. An active demonstration project for carbon dioxide sequestration in the Ordos Basin, China, began in 2010. The site is characterized by a deep, multi-layered saline reservoir with permeability mostly below 1.0×10-14 m2. Field observations so far suggest that only small-to-moderate pressure buildup has taken place due to injection. The Triassic Liujiagou sandstone at the top of the reservoir has surprisingly high injectivity and accepts approximately 80 % of the injected mass at the site. Based on these key observations, a three-dimensional numerical model was developed and applied, to predict the plume dynamics and pressure propagation, and in the assessment of storage safety. The model is assembled with the most recent data and the simulations are calibrated to the latest available observations. The model explains most of the observed phenomena at the site. With the current operation scheme, the CO2 plume at the uppermost reservoir would reach a lateral distance of 658 m by the end of the project in 2015, and approximately 1,000 m after 100 years since injection. The resulting pressure buildup in the reservoir was below 5 MPa, far below the threshold to cause fracturing of the sealing cap (around 33 MPa).
5 Zhang, K.; Sun, X.; Jin, Y.; Liu, J.; Wang, R.; Zhang, S. 2020. Development models matter to the mutual growth of ecosystem services and household incomes in developing rural neighborhoods. Ecological Indicators, 115:106363. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2020.106363]
Ecosystem services ; Household income ; Rural development ; Urbanization ; Sustainable development ; Forest cover ; Land use ; Indicators ; Policies ; Villages / China / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H049707)
(1.48 MB)
In the context of rapid urbanization, many rural communities are experiencing dramatic increases in the proportion of construction land, leading to the diminishment of ecosystem services. Conflicting development goals are a primary challenge to sustainable rural development. Increasing household income is a primary rural development concern and harmonizing the relationship between sustaining ecosystem services and increasing household incomes is critical for rural communities. To understand the factors which influence ecosystem services, household income and their mutual growth, an assessment of ecosystem services bound to land-use was carried out in 30 villages in the rapidly developing Shandong Province in eastern China. In this survey the impacts of different land use and development models on the mutual growth of ecosystem services and rural household incomes was analyzed. The results show significant variation in both ecosystem services and household incomes resulting from the implementation of four different development models. The sole ecotourism village in the survey was found to have the highest ecosystem services and household incomes, while ecological protection villages had higher ecosystem services but lower household incomes. Development models may influence ecosystem services by changing land use, and forest cover was the most important influencing factor. It was found that the Type A model, consisting of high forest cover and high marketization of ecosystem services, promoted the mutual growth of ecosystem services and household incomes. These findings suggest that appropriate development models can lead to the harmonious mutual growth of ecosystem services and rural household incomes. We argue that the methods used in this study can help improve rural management in China and elsewhere.
6 Song, P.; Zheng, X.; Li, Y.; Zhang, K.; Huang, J.; Li, H.; Zhang, H.; Liu, L.; Wei, C.; Mansaray, L. R.; Wang, D.; Wang, X. 2020. Estimating reed loss caused by locusta migratoria manilensis using UAV [Unmanned Aerial Vehicle] -based hyperspectral data. Science of the Total Environment, 719:137519. [doi: https://doi.org/10.1016/j.scitotenv.2020.137519]
Crop losses ; Estimation ; Locusta migratoria ; Unmanned aerial vehicles ; Monitoring ; Forecasting ; Models ; Satellite observation ; Remote sensing ; Vegetation index / China / Kenli / Dongying / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H049853)
(3.89 MB)
Locusta migratoria manilensis has caused major damage to vegetation and crops. Quantitative evaluation studies of vegetation loss estimation from locust damage have seldom been found in traditional satellite-remote-sensing-based research due to insufficient temporal-spatial resolution available from most current satellite-based observations. We used remote sensing data acquired from an unmanned aerial vehicle (UAV) over a simulated Locusta migratoria manilensis damage experiment on a reed (Phragmites australis) canopy in Kenli District, China during July 2017. The experiment was conducted on 72 reed plots, and included three damage duration treatments with each treatment including six locust density levels. To establish the appropriate loss estimation models after locust damage, a hyperspectral imager was mounted on a UAV to collect reed canopy spectra. Loss components of six vegetation indices (RVI, NDVI, SAVI, MSAVI, GNDVI, and IPVI) and two “red edge” parameters (Dr and SDr) were used for constructing the loss estimation models. Results showed that: (1) Among the six selected vegetation indices, loss components of NDVI, MSAVI, and GNDVI were more sensitive to the variation of dry weight loss of reed green leaves and produced smaller estimation errors during the model test process, with RMSEs ranging from 8.8 to 9.1 g/m;. (2) Corresponding model test results based on loss components of the two selected red edge parameters yielded RMSEs of 27.5 g/m2 and 26.1 g/m2 for Dr and SDr respectively, suggesting an inferior performance of red edge parameters compared with vegetation indices for reed loss estimation. These results demonstrate the great potential of UAV-based loss estimation models for evaluating and quantifying degree of locust damage in an efficient and quantitative manner. The methodology has promise for being transferred to satellite remote sensing data in the future for better monitoring of locust damage of larger geographical areas.
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