The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Xiaobo Luan - One of the best experts on this subject based on the ideXlab platform.

  • impact of future climate change on regional Crop Water Requirement a case study of hetao irrigation district china
    Water, 2017
    Co-Authors: Tianwa Zhou, Shikun Sun, Yubao Wang, Xiaobo Luan
    Abstract:

    Water shortage is a limiting factor for agricultural production in China, and climate change will affect agricultural Water use. Studying the effects of climate change on Crop irrigation Requirement (CIR) would help to tackle climate change, from both food security and sustainable Water resource use perspectives. This paper applied SDSM (Statistical DownScaling Model) to simulate future meteorological parameters in the Hetao irrigation district (HID) in the time periods 2041–2070 and 2071–2099, and used the Penman–Monteith equation to calculate reference Crop evapotranspiration (ET0), which was further used to calculate Crop evapotranspiration (ETc) and Crop Water Requirement (CWR). CWR and predicted future precipitation were used to calculate CIR. The results show that the climate in the HID will become warmer and wetter; ET0 would would increase by 4% to 7%; ETc and CWR have the same trend as ET0, but different Crops have different increase rates. CIR would increase because of the coefficient of the increase of CWR and the decrease of effective precipitation. Based on the current growing area, the CIR would increase by 198 × 106 to 242 × 106 m3 by the year 2041–2070, and by 342 × 106 to 456 × 106 m3 by the years 2071–2099 respectively. Future climate change will bring greater challenges to regional agricultural Water use.

Bruce Lankford - One of the best experts on this subject based on the ideXlab platform.

  • resource centred thinking in river basins should we revoke the Crop Water Requirement approach to irrigation planning
    Agricultural Water Management, 2004
    Co-Authors: Bruce Lankford
    Abstract:

    Abstract The paper examines the method of using project irrigation Requirements (PIR) in the design and rehabilitation of small-scale smallholder irrigation systems within multi-sector and dynamic river basins. This procedure, which employs equations that determine irrigation and Crop Water Requirements, is found embedded in irrigation thinking and planning methodologies throughout the irrigation world. The paper argues that if the PIR equations are used formally and conventionally without sufficiently accounting for changing demands for Water in semi-arid river basins, they can lead to irrigation designs that over-prioritise Water for individual irrigation systems and as such be labelled ‘irrigation-centred’. Although other adjustments and attempts at re-allocating Water might be undertaken, basin managers are often unable to recognise, accommodate or transcend the irrigation focus that this approach generates thus curtailing the efficacy of re-allocation efforts. This argument is made on the basis of observations in the Usangu Plains of Tanzania of farmer-originated irrigation and donor attempts at rehabilitation and modernisation. Features of a modified planning and design methodology are suggested, which considers irrigation alongside other Water sectors, and focuses on the river basin rather than on the individual system; an alternative which, it is proposed, is more flexible and ‘Water-resource-centred’. The implications of this dualism in approaches (irrigation-centred or resource-centred) for basin management, livelihoods, conflict mediation and formal irrigation rehabilitation projects are explored.

Shikun Sun - One of the best experts on this subject based on the ideXlab platform.

  • impact of future climate change on regional Crop Water Requirement a case study of hetao irrigation district china
    Water, 2017
    Co-Authors: Tianwa Zhou, Shikun Sun, Yubao Wang, Xiaobo Luan
    Abstract:

    Water shortage is a limiting factor for agricultural production in China, and climate change will affect agricultural Water use. Studying the effects of climate change on Crop irrigation Requirement (CIR) would help to tackle climate change, from both food security and sustainable Water resource use perspectives. This paper applied SDSM (Statistical DownScaling Model) to simulate future meteorological parameters in the Hetao irrigation district (HID) in the time periods 2041–2070 and 2071–2099, and used the Penman–Monteith equation to calculate reference Crop evapotranspiration (ET0), which was further used to calculate Crop evapotranspiration (ETc) and Crop Water Requirement (CWR). CWR and predicted future precipitation were used to calculate CIR. The results show that the climate in the HID will become warmer and wetter; ET0 would would increase by 4% to 7%; ETc and CWR have the same trend as ET0, but different Crops have different increase rates. CIR would increase because of the coefficient of the increase of CWR and the decrease of effective precipitation. Based on the current growing area, the CIR would increase by 198 × 106 to 242 × 106 m3 by the year 2041–2070, and by 342 × 106 to 456 × 106 m3 by the years 2071–2099 respectively. Future climate change will bring greater challenges to regional agricultural Water use.

  • temporal variability of Water footprint for maize production the case of beijing from 1978 to 2008
    Water Resources Management, 2013
    Co-Authors: Shikun Sun, Yubao Wang, X N Zhao
    Abstract:

    The Water footprint (WF) of Crop production is a comprehensive indicator that can reflect Water consumption types, quantities and environmental impacts during the Crop growth period. This study assesses interannual variability of green, blue and grey WFs of maize production in Beijing from 1978 to 2008. Results indicate that: (1) The multi-year average WF of maize was 1,031 m3 ton−1 which was 56 % green, 25 % blue, and 19 % grey; (2) the climate experienced a warm-dry period in Beijing during the period from 1978 to 2008, and this lead to the increase of Crop Water Requirement and irrigation Water Requirement for maize with trends of 0.52 mm a−1 and 2.86 mm a−1, respectively; (3) under the combined effects of climate change and agricultural inputs, the total WF and green WF presented decreasing trends. The blue and grey WFs had clear increasing trends; (4) statistical analysis revealed that interannual variability of green and blue WFs were caused by both climatic factors (effective precipitation) and non-climatic (agricultural inputs) factors. The grey WF was mainly associated with non-climatic factors, such as chemical fertilizers consumption.

Yubao Wang - One of the best experts on this subject based on the ideXlab platform.

  • impact of future climate change on regional Crop Water Requirement a case study of hetao irrigation district china
    Water, 2017
    Co-Authors: Tianwa Zhou, Shikun Sun, Yubao Wang, Xiaobo Luan
    Abstract:

    Water shortage is a limiting factor for agricultural production in China, and climate change will affect agricultural Water use. Studying the effects of climate change on Crop irrigation Requirement (CIR) would help to tackle climate change, from both food security and sustainable Water resource use perspectives. This paper applied SDSM (Statistical DownScaling Model) to simulate future meteorological parameters in the Hetao irrigation district (HID) in the time periods 2041–2070 and 2071–2099, and used the Penman–Monteith equation to calculate reference Crop evapotranspiration (ET0), which was further used to calculate Crop evapotranspiration (ETc) and Crop Water Requirement (CWR). CWR and predicted future precipitation were used to calculate CIR. The results show that the climate in the HID will become warmer and wetter; ET0 would would increase by 4% to 7%; ETc and CWR have the same trend as ET0, but different Crops have different increase rates. CIR would increase because of the coefficient of the increase of CWR and the decrease of effective precipitation. Based on the current growing area, the CIR would increase by 198 × 106 to 242 × 106 m3 by the year 2041–2070, and by 342 × 106 to 456 × 106 m3 by the years 2071–2099 respectively. Future climate change will bring greater challenges to regional agricultural Water use.

  • temporal variability of Water footprint for maize production the case of beijing from 1978 to 2008
    Water Resources Management, 2013
    Co-Authors: Shikun Sun, Yubao Wang, X N Zhao
    Abstract:

    The Water footprint (WF) of Crop production is a comprehensive indicator that can reflect Water consumption types, quantities and environmental impacts during the Crop growth period. This study assesses interannual variability of green, blue and grey WFs of maize production in Beijing from 1978 to 2008. Results indicate that: (1) The multi-year average WF of maize was 1,031 m3 ton−1 which was 56 % green, 25 % blue, and 19 % grey; (2) the climate experienced a warm-dry period in Beijing during the period from 1978 to 2008, and this lead to the increase of Crop Water Requirement and irrigation Water Requirement for maize with trends of 0.52 mm a−1 and 2.86 mm a−1, respectively; (3) under the combined effects of climate change and agricultural inputs, the total WF and green WF presented decreasing trends. The blue and grey WFs had clear increasing trends; (4) statistical analysis revealed that interannual variability of green and blue WFs were caused by both climatic factors (effective precipitation) and non-climatic (agricultural inputs) factors. The grey WF was mainly associated with non-climatic factors, such as chemical fertilizers consumption.

Gabriel B Senay - One of the best experts on this subject based on the ideXlab platform.

  • remote sensing sensors and applications in environmental resources mapping and modelling
    Sensors, 2007
    Co-Authors: Assefa M Melesse, Qihao Weng, Prasad S Thenkabail, Gabriel B Senay
    Abstract:

    The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is discussed. The review also discusses the use of remotely sensed-based rainfall and potential evapotranspiration for estimating Crop Water Requirement satisfaction index and hence provides early warning information for growers. The review is not an exhaustive application of the remote sensing techniques rather a summary of some important applications in environmental studies and modeling.