Your search found 3 records
1 Jin, M.; Liang, X.; Cao, Y.; Zhang, R. 2006. Availability, status of development, and constraints for sustainable exploitation of groundwater in China. In Sharma, Bharat R.; Villholth Karen G.; Sharma, K. D. (Eds.). Groundwater research and management: integrating science into management decisions. Proceedings of IWMI-ITP-NIH International Workshop on "Creating Synergy Between Groundwater Research and Management in South and Southeast Asia," Roorkee, India, 8-9 February 2005. Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.47-61.
(Location: IWMI-HQ Call no: IWMI 333.9104 G000 SHA Record No: H039307)
(0.18 MB)
2 Zhao, G.; Tian, S.; Jing, Y.; Cao, Y.; Liang, S.; Han, B.; Cheng, X.; Liu, B. 2023. Establishing a quantitative assessment methodology framework of water conservation based on the water balance method under spatiotemporal and different discontinuous ecosystem scales. Journal of Environmental Management, 346:119006. (Online first) [doi: https://doi.org/10.1016/j.jenvman.2023.119006]
Water conservation ; Water balance ; Ecosystem services ; Runoff ; Frameworks ; Uncertainty ; Precipitation ; Water resources ; Soil types ; Land use ; Hydrological modelling ; Grasslands ; Calibration ; Rainfall / China / Yellow River
(Location: IWMI HQ Call no: e-copy only Record No: H052290)
https://www.sciencedirect.com/science/article/pii/S0301479723017942/pdfft?md5=377592bc170689e4654685f862f678e3&pid=1-s2.0-S0301479723017942-main.pdf
https://vlibrary.iwmi.org/pdf/H052290.pdf
https://vlibrary.iwmi.org/pdf/H052290.pdf
(11.10 MB) (11.1 MB)
Water conservation (WC) is an essential terrestrial ecosystem service that mitigates surface runoff and replenishes groundwater, which has received considerable attention under the dual pressures of climate change and human activity. However, there is insufficient understanding of the trends in WC changes on temporal (annual, monthly, daily), spatial, and ecosystem scales. This study proposed a quantitative assessment methodology framework (QAMF) for analyzing the spatiotemporal variation of WC under different discontinuous ecosystems. The QAMF mainly used models and methods such as the hydrological model (SWAT), calibration and uncertainty program (SWAT-CUP), WC calculation formula (water balance method), and spatial analysis method (empirical orthogonal function and wavelet analysis). It was applied to the source region of the Yellow River (SRYR), where the ecological landscape pattern underwent varying degrees of degradation, and WC capacity decreased. The results show that: Firstly, the constructed SWAT in the SRYR had high accuracy, and the proposed formula for calculating WC was suitable for multi-temporal scale analysis of WC in spatially distributed discontinuous basins. Secondly, the annual and monthly WC were respectively 81.00–184.13 mm and -28.58–107.64 mm, and daily WC was positive during extreme precipitation periods and negative during dry periods. The regulating effect of WC was fully reflected on the daily scale, partially reflected on the monthly scale, and absent on the annual scale. Third, the crucial WC area was mainly distributed in the southeast, and there was a significant primary yearly cycle of WC in the SRYR. Finally, different ecosystems exhibited different WC capabilities, and protecting the diversity of ecosystems played an essential role in maintaining and improving the WC function in the SRYR. This project has great scientific significance and technological support for scientifically evaluating the WC capacity in the SRYR.
3 Zhu, J.; Dang, P.; Cao, Y.; Lai, J.; Guo, Y.; Wang, P.; Li, W. 2024. A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods. International Journal of Geographical Information Science, 24p. (Online first) [doi: https://doi.org/10.1080/13658816.2024.2306167]
(Location: IWMI HQ Call no: e-copy only Record No: H052627)
https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2306167?download=true
https://vlibrary.iwmi.org/pdf/H052627.pdf
https://vlibrary.iwmi.org/pdf/H052627.pdf
(3.07 MB) (3.07 MB)
Public’s rational flood mitigation behaviors depend on accurate perception of flood risks. The use of natural language for flood risk perception is an effective approach, and it is critical to ensure the accuracy and comprehensibility of the flood information provided by the system in natural language dialogues. This study presents a framework for large language model (LLM) that is constrained by flood knowledge and can interact with geographic information system (GIS), aimed at enhancing the public’s perception of flood risks. We tested the performance of LLM within this framework and the results demonstrate that LLM can generate accurate information about floods under the constraints of entities and relationships in the knowledge graph, and interact with GIS to produce personalized knowledge through real-time coding. Furthermore, we conducted flood risk perception experiments on users with different cognitive levels. The results indicate that using natural language dialogue can narrow the differences brought about by cognitive levels, allowing the public to equally access knowledge related to flood events.
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