控制径流条件下水稻种植的水足迹:斯里兰卡库鲁纳加拉地区的案例研究

M. Palliyaguru, C. Navaratne, D. Wickramasinghe, C. M. Nanayakkara
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引用次数: 0

摘要

水稻种植是全球最大的用水量,也是造成水污染的重要原因。调查水田农业的水足迹可以深入了解污染物是如何影响生态系统的。本研究旨在量化补充灌溉条件下斯里兰卡低地中间地带水稻的总水足迹。进行了渗滤仪研究,以确定根区以下浸出的营养物质的量。试验设计采用完全随机区组设计(CRBD),两因素(种植季节和坡度)和两个水平(Yala和Maha;上和下)。根据作物需水量选项,使用CROPWAT 8.0模型估算两个地点的绿水足迹和蓝水足迹。结果表明,在控制径流条件下,试验期间NO3-N的淋失量为8.61±1.84 kg/ha (8%), PO43—P的淋失量为0.49±0.1 kg/ha(2%)。氮肥诱导的每吨水稻灰水足迹(WFgrey)为193±27 m3/t,磷肥诱导的WFgrey为61±7 m3/t。该研究确定硝酸盐是水污染的关键元素。在径流控制条件下,估算的总水足迹(WFtotal)为1409±95 m3/t,即绿、蓝、灰水足迹的总和,而全球平均值为1325 m3/t。这一估计值比全球平均值高出约6%。因此,这些发现表明需要进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water footprint of paddy cultivation under controlled runoff conditions: A case study in Kurunagala district, Sri Lanka
Paddy cultivation is the largest global consumer of water, and it also significantly contributes to water pollution. Investigating the water footprint of paddy agriculture can provide insights into how pollutants affect the ecosystem. This study aimed to quantify the total water footprint for paddy grown in Sri Lanka's Low Country Intermediate Zone under supplementary irrigation. A lysimeter study was carried out to determine the amount of leached nutrients below the root zone. The experimental design was a Complete Randomized Block Design (CRBD) with two factors (cropping season and gradient) and two levels (Yala and Maha; upper and lower). The green and blue water footprints for both sites were estimated using the CROPWAT 8.0 model by crop water requirement option. The results revealed that the loss of NO3-N through leaching accounted for 8.61 ± 1.84 kg/ha (8%), and the leaching losses of PO43-- P were 0.49 ± 0.1 kg/ha (2%) under controlled runoff conditions during the experimental period. The nitrogen fertilizer-induced grey water footprint (WFgrey) for one tonne of rice produced was 193 ± 27 m3/t, and the phosphorous fertilizer-induced WFgrey was 61 ± 7 m3/t. The study identified nitrate as the critical element for water pollution. The estimated total water footprint (WFtotal), which was the sum of green, blue, and grey water footprint, was 1409 ± 95 m3/t under controlled runoff conditions, while the global average value is 1325 m3/t. The estimated value is about 6% higher than the global average value. Therefore, these findings demonstrate the need for further research.
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