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首页> 外文期刊>Hydrology and Earth System Sciences >Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa
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Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa

机译:南非Thukela河流域小农雨养农业的原水集水量,需求量和可靠性

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Water productivity in smallholder rain-fed agriculture is of key interestfor improved food and livelihood security. A frequently advocated approachto enhance water productivity is to adopt water harvesting and conservationtechnologies (WH). This study estimates water availability for potential in situWH, and supplemental water demand (SWD) in smallholder agriculture in SouthAfrica's Thukela River Basin (29 000 km2, mean annual precipitation550–2000 mm yr−1). The study includes process dynamics governingrunoff generation and crop water demands, quantification of predictionuncertainty, and an analysis of the reliability of in situ WH.The agro-hydrological model SWAT (Soil and Water Assessment Tool) wascalibrated and evaluated with the Sequential Uncertainty Fitting algorithmagainst observed discharge (at ten stations) and maize yield (the dominantcrop type) for the period 1997–2006. The water availability was based onthe generated surface runoff in smallholder areas. The SWD was derived froma scenario where crop water deficits were met from an unlimited externalwater source. The reliability was calculated as the percentage of years inwhich water availability ≥SWD. This reflects the risks of failureinduced by the temporal variability in the water availability and the SWD.The calibration reduced the predictive uncertainty and resulted in asatisfactory model performance. For smallholder maize yield, the Root MeanSquared Error was 0.02 t ha−1 during both the calibration and theevaluation periods. The width of the uncertainty band was reduced by23% due to the calibration. For discharge during the calibration(evaluation) period, the ten-station range in the weighted coefficient ofdetermination (Φ) was 0.16–0.85 (0.18–0.73), and in the coefficientof determination (R2) 0.42–0.83 (0.28–0.72). The calibration reducedthe width of the uncertainty band by 25% on average.The results show that the smallholder crop water productivity is currentlylow in the basin (spatiotemporal median: 0.08–0.22 kg m−3, 95%prediction uncertainty band (95PPU)). Water is available for in situ WH(spatiotemporal median: 0–17 mm year−1, 95PPU) which may aid inenhancing the crop water productivity by meeting some of the SWD(spatiotemporal median: 0–113 mm year−1, 95PPU). However, thereliability of in situ WH is highly location specific and overall ratherlow. Of the 1850 km2 of smallholder lands, 20–28% display areliability ≥25%, 13–16% a reliability ≥50%, and4–5% a reliability ≥75% (95PPU). This suggests that the risk offailure of in situ WH is relatively high in many areas of the basin.
机译:小农雨养农业的水生产率对于改善粮食和生计安全至关重要。一种经常提倡的提高水生产率的方法是采用水收集和保护技术(WH)。这项研究估计了南非Thukela河流域(29 000 km 2 ,年平均降水量550-2000 mm yr -1)的小农农业中的可用水以及潜在的原地用水量以及补充需水量(SWD)。 )。该研究包括控制径流产生和作物需水的过程动力学,定量预测不确定性以及对原位WH的可靠性进行分析。 农业水文模型SWAT(土壤和水评估工具)已通过校准和评估序列不确定度拟合算法针对观察到的1997-2006年期间的流量(十个站位)和玉米产量(优势农作物类型)。可用水量是基于小农区产生的地表径流。社署来自一种情况,即从无限的外部水源满足了作物缺水的情况。可靠性计算为可用水≥SWD的年百分比。这反映了因供水和SWD的时间变化而引起的故障风险。 校准减少了预测的不确定性,并导致令人满意的模型性能。对于小农户玉米产量,在校准和评估期间的均方根误差均为0.02 t ha -1 。由于校准,不确定带的宽度减少了23%。对于在校准(评估)期间的放电,加权确定系数(Φ)的十工位范围为0.16-0.85(0.18-0.73),而确定系数为十工位范围( R 2 )0.42-0.83(0.28-0.72)。校准使不确定带的宽度平均减少了25%。 结果表明,流域小农作物的水分生产率目前较低(时空中值:0.08–0.22 kg m −3 ,95%预测不确定带(95PPU))。原位WH(时空中值:0–17 mm,年 −1 ,95PPU)可用水,这可以通过满足一些SWD(时空中值:0-1.13 mm)来帮助提高作物水分生产率year −1 ,95PPU)。但是,原位WH的可靠性是高度特定于位置的,总体而言较低。在小农户土地的1850 km 2 中,显示可靠度≥25%的占20-28%,可靠度≥50%的占13-16%,可靠度≥75%的4-5%(95PPU)。这表明在盆地的许多地区,原位WH的风险风险较高。

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