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1 Guo, J.. 2000. Generic logarithmic model and its applications in sediment transport. In International Association for Hydraulic Engineering and Research (IAHR). Aisa and Pacific Division (APD). Sustainable water resources management: issues and future challenges. Proceedings of the 12th Congress of the Asia and Pacific Division of the International Association for Hydraulic Engineering and Research, Bangkok, Thailand, 13-16 November 2000. Volume I - Riverine hydraulics. Bangkok, Thailand: Asian Institute of Technology (AIT). Regional Environmental Management Center (REMC). pp.151-160.
(Location: IWMI HQ Call no: 333.91 G000 INT Record No: H027697)
2 Wang, Z.; Guo, J.; Ling, H.; Han, F.; Kong, Z.; Wang, W. 2022. Function zoning based on spatial and temporal changes in quantity and quality of ecosystem services under enhanced management of water resources in arid basins. Ecological Indicators, 137:108725. [doi: https://doi.org/10.1016/j.ecolind.2022.108725]
Water resources ; Water management ; River basin management ; Arid zones ; Ecosystem services ; Groundwater ; Water depth ; Evapotranspiration ; Indicators ; Ecological factors ; Soil moisture ; Farmland ; Vegetation index / China / Tarim River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051042)
https://www.sciencedirect.com/science/article/pii/S1470160X22001960/pdfft?md5=e6486faba3832bd2330718ca8ff536a1&pid=1-s2.0-S1470160X22001960-main.pdf
https://vlibrary.iwmi.org/pdf/H051042.pdf
https://vlibrary.iwmi.org/pdf/H051042.pdf
(6.62 MB) (6.62 MB)
With global warming, the contradiction between the supply and demand of water resources is increasingly prominent in arid areas. Enhancing water resource management is an important way to alleviate the shortage of ecological water supply and improve ecosystem services in arid river basins. However, previous studies have rarely conducted comprehensive function zoning of ecosystem services using two aspects: category (quantity) and strength change (quality), based on the changes in ecosystem services. In this regard, two scientific problems need to be solved:(1) quantifying the temporal and spatial changes of ecosystem services and (2) conducting function zoning of ecosystem services in terms of quantity and quality. To answer these two questions, we took the upper and middle reaches of the Tarim River Basin in China as the study area. According to the eco-environmental characteristics of arid basins, this study measured four key indices: carbon storage (CAS), evapotranspiration (ET), temperature vegetation dryness index (TVDI) and groundwater depth (GWD). We used the related model to quantitatively analyze the spatial and temporal distribution of these four indicators and the spatial aggregation characteristics of increases and decreases. We used the Reclassify tool of ArcGIS 10.5 to classify areas with more than two important zones as high-quantity ecosystem services zones. We used factor analysis, combined with Quantile, to divide ecosystem service quality into high-quality and low-quality zones. Considering the quantity and quality of ecosystem services, we divided ecosystem services into important, general, sensitive and fragile ecosystem services zones. Based on comprehensive zoning results during 2000–2018, an ecosystem services restoration zoning was determined. We used correlation analysis to analyze the basic drivers of changes in these four indicators. The results showed that during 2000–2018, CAS and ET in the Tarim River Basin increased by 0.2% and 15.3%, respectively, TVDI decreased by 22.5% and GWD rose by 1.7%. In 2018, the hot spots of CAS, ET, TVDI and GWD accounted for a small proportion of the whole study area, accounting for 3.8%, 5.9%, 9.0% and 1.4%, respectively. Compared with 2000, the high-quantity zone of ecosystem services increased by 10.7% and the high-quality zone of ecosystem services increased by 2.0% in 2018. This clearly showed that water diversion and riverway loss were the main factor driving changes in ecosystem services. In terms of maintaining groundwater depth and increasing vegetation coverage, specific counter measures and suggestions for increasing the number of ecosystem services (“increment”) and improving the quality of ecosystem services (“quality improvement”) were proposed. This study can provide a scientific reference for achieving optimal management of water resource systems for similar river basins in arid regions.
3 Gu, D.; Guo, J.; Fan, Y.; Zuo, Q.; Yu, L. 2022. Evaluating water-energy-food system of Yellow River Basin based on type-2 fuzzy sets and pressure-state-response model. Agricultural Water Management, 267:107607. [doi: https://doi.org/10.1016/j.agwat.2022.107607]
Water resources ; Energy consumption ; Food systems ; Evaluation ; River basins ; Decision making ; Water use ; Indicators ; Models ; Uncertainty / China / Yellow River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051097)
(9.41 MB)
Water, energy and food security are the prerequisites for coping with intensified climate change, and also the guarantee for sustaining socio-economic development. This study aims to establish a “Pressure-State-Response” (PSR) model to evaluate the water-energy-food (WEF) system security and clarify the main factors affecting WEF development, system state and social response. In addition, the interval type-2 fuzzy sets and analytic hierarchy process are incorporated to address uncertainty in the importance weights of quantitative indicators. Scenario design, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Combinative Distance-based Asssessment (CODAS) methods are also adopted to carry out quantitative calculation and explore the key constraints of WEF system security in the nine provinces of the Yellow River basin from 2006 to 2019. Results show that the WEF system security in each province has been improved in 2006–2019 under different scenarios. In detail, the pressure of WEF system is decreasing in Gansu, Ningxia, and Shanxi province, which is due to the decrease in waste water emissions per person and energy consumption per unit of GDP. The state of WEF system in various provinces has also been improved year by year. The response of WEF system is increasing in all provinces except Shanxi. There is obvious spatial-temporal heterogeneity in different provinces, but the regional gaps are narrowing. These findings cannot only reflect the multi-element relationship from both human activities and environmental changes, but also deal with uncertain in WEF assessment system. The obtained results can provide scientific basis for decision-makers to formulate relevant policies and measures.
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