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基于多项式回归算法的电量水量转换模型构建——以宁夏西干渠管理处马场滩灌溉站为例
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Abstract:
我国农业水价综合改革背景下,严格灌区农业灌溉用水计量,针对各分散灌溉站存在设备陈旧、测量水量成本高、点多面广等问题,急需大规模、低成本、全覆盖的灌溉站水量测量方案。本文采用电流间接测量灌溉站实时灌溉用水量,以宁夏西干渠管理处马场滩灌溉站为例,借助超声波流量计来获取灌溉站电流和水量等历史数据,采用多项式回归算法,构建灌溉站电量水量转换模型,通过验证模型预测的绝对值误差为0.0092,表明构建的模型具有较好的鲁棒性和稳定性,能够实现较为准确地计算灌溉站的用水量,该模型集成到马场滩灌溉水量检测平台中,具有在线动态计算水量、确准度较高、成本低、易于实施等特征,有效满足农业灌溉用水计量的要求,具有较好推广应用价值。
Under the background of the comprehensive reform of agricultural water price in my country, the measurement of agricultural irrigation water in irrigation areas is strictly required. In view of the problems of outdated equipment, high water measurement cost, and wide range of points in each decentralized irrigation station, a large-scale, low-cost, and full-coverage irrigation station water measurement solution is urgently needed. In this paper, the current indirectly measures the re-al-time irrigation water consumption of the irrigation station. Taking the Machangtan irrigation station of Ningxia West Main Canal Management Office as an example, the ultrasonic flowmeter is used to obtain historical data such as the current and water volume of the irrigation station, and the polynomial regression algorithm is used to construct the electricity and water volume of the irriga-tion station. Converting the model, by verifying that the absolute value error of the model predic-tion is 0.0092, it shows that the constructed model has good robustness and stability, and can cal-culate the water consumption of the irrigation station more accurately. The platform has the char-acteristics of online dynamic calculation of water volume, high accuracy, low cost, and easy imple-mentation, which can effectively meet the requirements of agricultural irrigation water metering, and has good application value.
[1] | 冯保清. 我国不同尺度灌溉用水效率评价与管理研究[D]: [博士学位论文]. 北京: 中国水利水电科学研究院, 2013. |
[2] | 赵令, 雷波, 苏涛, 周亮. 我国粮食主产区农业灌溉节水潜力估算研究[J]. 节水灌溉, 2019(8): 130-133. |
[3] | Pedro-Monzonis, M., Solera, A., Ferrer, J., Andreu, J. and Estrela, T. (2016) Water Accounting for Stressed River Basins Based on Water Resources Management Models. Science of the Total Environment, 565, 181-190.
https://doi.org/10.1016/j.scitotenv.2016.04.161 |
[4] | 李仰斌, 刘俊萍. 中国节水灌溉装备与技术发展展望[J]. 排灌机械工程学报, 2020, 38(7): 738-742. |
[5] | 付强, 刘烨, 李天霄, 崔嵩, 刘东, 成琨. 水足迹视角下黑龙江省粮食生产用水分析[J]. 农业机械学报, 2017, 48(6): 184-192. |
[6] | 王玉宝, 吴普特, 孙世坤, 操信春, 刘静. 我国粮食虚拟水流动对水资源和区域经济的影响[J]. 农业机械学报, 2015, 46(10): 208-215. |
[7] | 陈红光, 王琼雅, 李晓宁, 王中君, 李晨阳. 基于区间两阶段鲁棒优化模型的灌区水资源优化配置[J]. 农业机械学报, 2019, 50(3): 271-280. |
[8] | McMahon, T.A. and Peel, M.C. (2019) Uncertainty in Stage-Discharge Rating Curves: Application to Australian Hydrologic Reference Stations Data. Hydrological Sciences Journal, 64, 255-275.
https://doi.org/10.1080/02626667.2019.1577555 |
[9] | 邱江潮, 刘丙军, 杨子博, 彭为. 基于水位流量关系的流量估算不确定性分析[J]. 水科学进展, 2020, 31(2): 214-223. |
[10] | Kiang, J.E., Gazoorian, C., McMillan, H., Coxon, G., Le Coz, J., Westerberg, I.K., et al. (2018) A Comparison of Methods for Streamflow Uncertainty Estimation. Water Resources Research, 54, 7149-7176.
https://doi.org/10.1029/2018WR022708 |
[11] | 熊龙海, 邓孺孺, 刘英飞, 梁业恒. 基于SPOT5遥感影像和 DEM 的河流流量估算[C]//2016中国地理信息科学理论与方法学术年会论文集. 2016: 1-4. |
[12] | 王鹏飞, 杨胜天, 王娟, 潘天力, 章四龙, 巩同梁. 星-机一体的水力几何形态流量估算方法[J]. 水利学报, 2020, 51(4): 492-504. |
[13] | 闫兵. 流量计在农田灌溉中的应用分析[J]. 农机化研究, 2009, 31(6): 248-249+252. |
[14] | 王怀博, 徐利岗, 刘学军, 苏笑曦. 宁夏引黄灌区斗渠量测水设备比测试验研究[J]. 水资源与水工程学报, 2018, 29(6): 250-255. |
[15] | 沈波, 吉庆丰, 张玉建, 刘美华, 许赤. 农业灌溉用水计量方法研究[J]. 江苏水利, 2017(4): 13-17. |
[16] | 温进化, 王贺龙, 王士武. 南方多水源灌区农业灌溉用水量监测及统计研究[J]. 西北大学学报(自然科学版), 2020, 50(5): 755-760+770. https://doi.org/10.16152/j.cnki.xdxbzr.2020-05-008 |
[17] | 王成福, 罗浩, 景少波. 浅析我国农业灌区用水量测技术的现状与发展[J]. 陕西水利, 2016(4): 167-168. |
[18] | 邬智俊, 胡钢, 沈波, 刘美华, 章梅娟. 基于改进粒子群的电水转换关系特征曲线研究[J]. 节水灌溉, 2018(9): 98-101+107. |
[19] | 李娜. 关于农业灌溉用水计量方法的探讨[J]. 水科学与工程技术, 2014(6): 67-71. |
[20] | 王向飞. 电水转换法在地下水开采量计量中的应用——以河北省沧县为例[J]. 海河水利, 2014(6): 50-51. |
[21] | 沈波, 吉庆丰, 张玉建, 刘美华, 许赤. 农业灌溉用水计量方法研究[J]. 江苏水利, 2017(4): 13-17.
https://doi.org/10.16310/j.cnki.jssl.2017.04.004 |
[22] | Bertsimas, D. and Van Parys, B. (2020) Sparse Hierarchical Regression with Polynomials. Machine Learning, 109, 973-997. https://doi.org/10.1007/s10994-020-05868-6 |
[23] | 张东明, 张晓云, 杨小波, 侯心一. 基于正交实验和多项式回归分析方法的非典型接触状态车人碰撞事故参数分析[J]. 上海交通大学学报, 2019, 53(1): 55-61. |
[24] | 李梦慧, 谭鸽伟, 孟亭亭, 杨晶晶. 基于Legendre多项式展开的双基SAR二维频域成像算法[J]. 计算机应用研究, 2020, 37(11): 3476-3480+3491. |