Your search found 5 records
1 Wang, D.; Yates, S. R.; Simunek, J.; van Genuchten, M. T. 1997. Solute transport in simulated conductivity fields under different irrigations. Journal of Irrigation and Drainage Engineering, 123(5):336-343.
Sprinkler irrigation ; Furrow irrigation ; Drip irrigation ; Groundwater ; Water pollution ; Pollution control ; Simulation models ; Computer models ; Stochastic process
(Location: IWMI-HQ Call no: PER Record No: H021381)
2 Wang, D.; Shannon, M. C.; Grieve, C. M.; Yates, S. R. 2000. Soil water and temperature regimes in drip and sprinkler irrigation, and implications to soybean emergence. Agricultural Water Management, 43(1):15-28.
(Location: IWMI-HQ Call no: PER Record No: H025575)
3 Chen, X.; Shi, C.; Wang, Y.; Zhang, H.; Wang, D.. 2004. Sustainable water dispatching for the lower reaches of the Yellow River in non-flood seasons. Water International, 29(4):492-498.
(Location: IWMI-HQ Call no: PER Record No: H036717)
4 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.
5 Yin, J.; Wang, D.; Li, H. 2023. Spatial optimization of rural settlements in ecologically fragile regions: insights from a social-ecological system. Habitat International, 138:102854. (Online first) [doi: https://doi.org/10.1016/j.habitatint.2023.102854]
(Location: IWMI HQ Call no: e-copy only Record No: H052055)
https://www.sciencedirect.com/science/article/pii/S0197397523001145/pdfft?md5=5419b674b0adbcf5a2ce4f7e1a0e35db&pid=1-s2.0-S0197397523001145-main.pdf
https://vlibrary.iwmi.org/pdf/H052054.pdf
https://vlibrary.iwmi.org/pdf/H052054.pdf
(9.03 MB) (9.03 MB)
Rural areas in ecologically fragile regions face obstacles of underdeveloped social economies and poor natural conditions. Existing studies on the optimization of rural settlements in ecologically fragile areas have mainly focused on regional ecological protection and have paid inadequate attention to social-economic dimensions and their interaction with ecological dimensions. We propose an analytical framework for the spatial optimization of rural settlements from a social-ecological perspective. Using Kaitong Town, located in western Jilin Province, China, as a case study, we analysed the development capacity in different villages and evaluated ecosystem resilience. Based on different spatial combinations of rural development capacity and ecosystem resilience, we divided the study area into four zones: relocation and merger; aggregation and promotion; key development; and stabilization and improvement. Rural settlements within the relocation and merger zone were identified as requiring resettlement. Two optimization directions are suggested: one to the key development zone within an adjacent village and the other to the aggregation and promotion zone within the same administrative village. The proposed analytical framework provides a scientific basis for optimizing the layout of rural settlements in ecologically fragile regions and can play an important role in realizing the sustainable development of rural areas.
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