Your search found 11 records
1 Haozhi, L. 1988. The sediment problem of yellow river irrigation system. 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.984-990.
Call no: 631.7.8 G000 PRO Record No: H06729)
2 Duan, Z. 1996. Optimization modelling of a river-aquifer system with technical interventions: A case study for the Huangshui River and the coastal aquifer, Shandong, China. Enschede, Netherlands: International Institute for Aerospace Survey and Earth Sciences (ITC) vii, 158p. (ITC publication no.41)
Hydrology ; Geology ; River basins ; Aquifers ; Surface runoff ; Groundwater ; Reservoirs ; Artificial recharge ; GIS ; Mathematical models ; Optimization ; Remote sensing ; Water resource management ; Soil water ; Water balance ; Recharge ; Irrigation water ; Simulation models ; Linear programming ; Case studies / China / Huangshui River Basin / Shandong / Wangwu Reservoir
(Location: IWMI-HQ Call no: 551.48 G592 DUA Record No: H021751)
PhD thesis submitted to Vrije Universiteit, Amsterdam, The Netherlands.
3 Feng, G.; Xiaopeng, L.; Guogui, S. 1999. Practice and experience of increasing crop yields and water saving in Licheng demonstration irrigation area, P.R. China. In ICID, 17th Congress on Irrigation and Drainage, Granada, Spain, 1999: Water for Agriculture in the Next Millennium - Transactions, Vol.1D, Q.48, Poster Session: Irrigation under conditions of water scarcity: Q.48.2: Techniques to promote water saving in irrigation; 48.3: Conjunctive use of surface and ground water; 48.5: Environmental implications of water scarcity conditions. New Delhi, India: ICID. pp.231-239.
Water conservation ; Reservoirs ; Irrigation canals ; Rehabilitation ; Vegetables ; Water measurement ; Wells ; Pumping ; Water distribution ; Optimization ; Mathematical models ; Computer software ; Economic aspects / China / Licheng / Jinan / Shandong
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H025184)
4 Minhas, P. S.; Tyagi, N. K.; Gupta, S. K.; Ding, K. L.; Cai, L. G.; Xu, D.; Pereira, L. S. 2003. Drainage water re-use options in Bojili Irrigation District, Shandong. In Pereira, L. S.; Cai, L. G.; Musy, A.; Minhas, P. S. (Eds.), Water savings in the Yellow River Basin: Issues and decision support tools in irrigation. Beijing, China: China Agriculture Press. pp.229-243.
Surface drainage ; Wastewater ; Water reuse ; Water quality ; Irrigation management ; Crop production ; Maize ; Wheat ; Simulation models ; Soil salinity / China / Yellow River Basin / Shandong / Bojili Irrigation District
(Location: IWMI-HQ Call no: 631.7 G592 PER Record No: H040071)
5 Pereira, L. S.; Gonc alves, J. M.; Campos, A. A.; Fabiao, M. S.; Paredes, P.; Mao, Z.; Dong, B.; Liu, Y.; Li, Y. N.; Fang, S. X. 2003. Irrigation water saving issues in the Yellow River Basin: a case study in Huinong Irrigation District. 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.17-36.
River basins ; Irrigation scheduling ; Basin irrigation ; Simulation models ; Irrigation canals ; Water conservation ; Wheat ; Maize ; Evapotranspiration / China / Yellow River / Huinong / Ningxia / Bojili / Shandong
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H034654)
6 Asian Development Bank (ADB). 2018. Internet plus agriculture: a new engine for rural economic growth in the People’s Republic of China. Manila, Philippines: Asian Development Bank (ADB). 53p. [doi: https://doi.org/10.22617/TCS189559-2]
Agricultural development ; Information services ; Internet ; Rural economics ; Economic growth ; Electronic commerce ; Agricultural products ; Supply chain ; Development projects ; State intervention ; Policies ; Infrastructure ; Investment ; Constraints ; Corporate culture ; Farmers ; Agricultural extension ; Developing countries ; Public services ; Models / China / Gansu / Hubei / Shandong / Yunnan / Zhejiang
(Location: IWMI HQ Call no: e-copy only Record No: H049034)
https://www.adb.org/sites/default/files/publication/455091/internet-plus-agriculture-prc.pdf
https://vlibrary.iwmi.org/pdf/H049034.pdf
https://vlibrary.iwmi.org/pdf/H049034.pdf
(3.48 MB) (3.48 MB)
7 Deng, C.; Wang, H.; Gong, S.; Zhang. J.; Yang, B.; Zhao, Z. 2020. Effects of urbanization on food-energy-water systems in mega-urban regions: a case study of the Bohai MUR, China. Environmental Research Letters, 15(4):044014. [doi: https://doi.org/10.1088/1748-9326/ab6fbb]
Urbanization ; Food systems ; Energy consumption ; Water systems ; Nexus ; Urban areas ; Water resources ; Land use ; Economic development ; Indicators ; Population growth ; Case studies / China / Bohai Mega-Urban Region / Beijing / Hebei / Tianjin / Liaoning / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H049630)
https://iopscience.iop.org/article/10.1088/1748-9326/ab6fbb/pdf
https://vlibrary.iwmi.org/pdf/H049630.pdf
https://vlibrary.iwmi.org/pdf/H049630.pdf
(3.37 MB) (3.37 MB)
The security of food-energy-water (FEW) systems is an issue of global concern, especially in mega-urban regions (MURs) with high-density populations, industries and carbon emissions. To better understand the hidden links between urbanization and FEW systems, the pressure on FEW systems was quantified in a typical rapidly urbanizing region—the Bohai MUR. The correlations between urbanization indicators and the pressure on FEW systems were analyzed and the mechanism of the impact of urbanization on FEW systems was further investigated. The results showed that approximately 23% of cropland was lost, 61% of which was lost via conversion to construction land and urban areas expanded by 132.2% in the Bohai MUR during 1980–2015. The pressure on FEW systems showed an upward trend, with the stress index of the pressure on FEW systems (FEW_SI) ranging from 80.49% to 134.82%. The dominant pressure consisting of that has converted from water system pressure to energy system pressure since 2004. The FEW_SI in the Bohai MUR was enhanced with cropland loss and increases in urbanization indicators. Additionally, land use, populations, incomes, policies and innovation are the main ways that urbanization affects FEW systems in MURs. This study enhances our understanding of the variation in pressure on FEW systems in MURs and the effects of urbanization on FEW systems, which will help stakeholders to enhance the resilience of FEW systems and promote sustainable regional development.
8 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.
9 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.
10 Wang, T.; Zhang, J.; You, L.; Zeng, X.; Ma, Y.; Li, Y.; Huang, G. 2023. Optimal design of two-dimensional water trading considering hybrid “three waters”-government participation for an agricultural watershed. Agricultural Water Management, 288:108457. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108457]
Water markets ; Government ; Participation ; Water conservation ; Uncertainty ; Analysis ; Watersheds ; Models ; Water resources ; Water quality ; Ecology ; Water rights ; Water use ; Decision making ; Stream flow ; Sewage ; Surface water ; Water balance / China / Dagu River Basin / Qingdao / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H052121)
https://www.sciencedirect.com/science/article/pii/S0378377423003220/pdfft?md5=d9572c1601607111fa59e3dd324559bc&pid=1-s2.0-S0378377423003220-main.pdf
https://vlibrary.iwmi.org/pdf/H052121.pdf
https://vlibrary.iwmi.org/pdf/H052121.pdf
(4.97 MB) (4.97 MB)
Sharp increase in water consumption and pollutant emissions makes shortage of clean water the main problem hindering regional agricultural development. Two-dimensional water trading (2DWT) can unify the quantity and quality of water to relieve the water crisis in agricultural watersheds. This study developed a hybrid “three waters”-government participation based two-dimensional water trading model group (TWG-2DWTMs) to support 2DWT planning under various complexities. The linkage among water resources, water quality and ecology (i.e., “three waters”) as well as government participation are considered. The TWG-2DWTMs has been applied in Dagu River basin in Qingdao city, an agricultural watershed, and solved under multiple trading rules and water-saving scenarios. The results indicate that trading rule for government participation with ecological runoff guarantee of river regions and concentration control of monitoring sections (CERG) is the optimal trading rule and should be recommended. CERG can realize the transformation from water rights to discharge permits, and promote economic development while ensuring water ecology and water environment. Furthermore, under CERG, water-saving percentage of 50% is the optimal water-saving scenario; water saving can bring about surplus water rights that can be directly traded or transformed into discharge permits, promoting local sustainable development.
11 Cao, X.; Zhang, J.; Meng, H.; Lai, Y.; Xu, M. 2023. Remote sensing inversion of water quality parameters in the Yellow River Delta. Ecological Indicators, 155:110914. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2023.110914]
Water quality ; Parameters ; Remote sensing ; Models ; Water resources ; Industrial wastewater ; Sewage / China / Shandong / Dongying / Yellow River Delta / Guangli River
(Location: IWMI HQ Call no: e-copy only Record No: H052260)
https://www.sciencedirect.com/science/article/pii/S1470160X23010567/pdfft?md5=2244fadc05264aa29b391ca748f3bcd8&pid=1-s2.0-S1470160X23010567-main.pdf
https://vlibrary.iwmi.org/pdf/H052260.pdf
https://vlibrary.iwmi.org/pdf/H052260.pdf
(30.40 MB) (30.4 MB)
In recent years, with the rapid socio-economic development of the Yellow River Delta (YRD), the pressure on the supply of water resources has continued to rise. The development of oil-based industries has also led to a series of ecological and environmental problems, such as wetland degradation and water quality deterioration. As an increasing number of rivers are getting polluted, resulting in the deterioration of their water quality, monitoring, managing, and protecting water resources in the YRD is particularly important. In this study, water quality monitoring data and simultaneous Sentinel-2 image data from April 30, 2020, to October 26, 2021, were used to construct an experimental sample in the YRD. Water quality parameters (WQPs) concentrations were correlated with Sentinel-2 image element spectral reflectance and sensitive bands were selected. An empirical method based on the characteristic bands was used to invert a total of six water quality indicators, namely dissolved oxygen (DO), permanganate index (CODMn), ammonia nitrogen (NH3-H), total phosphorus (TP), total nitrogen (TN) and turbidity. The results show: (1) A total of five water quality inversion models for DO, TN, CODMn, TP and TN were effective in the areas of the Guangli River, the Tiaohe and the Branch River. The inversion accuracies of the five inversion models (R2of 0.6099, 0.9271, 0.9581, 0.8784 and 0.7387; RMSE of 1.2723, 0.3413, 0.9923, 0.0118 and 1.8476; RPD of 1.53, 2.08, 3.56, 2.76 and 1.53) indicated the feasibility of the water quality inversion method based on Sentinel-2 data using statistical theory for monitoring water quality concentration in the YRD. (2) The spatial distribution of water quality in the YRD was generally characterized by high water quality in the upper reaches and low water quality in the middle and lower reaches (except for some seasonal variations). Among them, the water quality of the upper reaches of the Guangli River was poor, with opposite trends in DO and TN concentrations. In the Tiaohe, CODMn and TP concentrations were not strongly correlated. However, CODMn and TP concentrations were high in the middle reaches where water quality was the worst. The TN concentrations in the Branch River decreased between 2020 and 2021, but the water quality is still in Category V. Therefore, continued attention and appropriate water quality management measures in the YRD are required. Further, by measuring water quality indicators at monitoring stations, regression-fitting equations for WQPs were established to obtain complementary multi-platform observations. Thus, the water quality conditions in the YRD region can be evaluated more accurately and quickly. The research results not only provide an important reference basis for the identification and monitoring of pollution sources, prevention and treatment of water environment pollution in the YRD, but also provide water security for socio-economic and ecological environment security.
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