Dept. of Geography, Women's College, Calcutta, Kolkata, 700 003, India.
School of Water Resources Engineering, Jadavpur University, Kolkata 32, India.
Environ Monit Assess. 2021 Sep 27;193(10):675. doi: 10.1007/s10661-021-09469-1.
In this article, we explored how to determine the water productivity of wetlands in a compact and evolving basis with geographic information systems and agro-climatic models. Our research aimed to use the AquaCrop model to determine the extent to which the wetlands in the Bhagirathi-Hooghly Basin in South West Bengal, India, have used their water productivity to meet human needs. The wetland capacity and productivity are declining over time due to pressure from the growing population with declining land area. Various statistical data obtained from the field are calibrated based on the AquaCrop model. The validity of the information collected from the model depends on the prediction error (Pe), coefficient of determination (R), index of agreement (d) and model efficiency (ME) and based on which the goodness of fit develops. It is concluded that the economic dependence of the people living along the wetland has shifted from rice production to fishing and other aquatic plant production. The water productivity of aquatic resources is 7% higher than the water productivity of rice. The study marks the success of a future strategy for wetland development and urges the state government to undertake management policies to create a healthy wetland environment.
在本文中,我们探索了如何使用地理信息系统和农业气候模型,以紧凑和发展的基础来确定湿地的水分生产力。我们的研究旨在使用 AquaCrop 模型来确定印度西孟加拉邦 Bhagirathi-Hooghly 盆地的湿地在多大程度上利用其水分生产力来满足人类需求。由于人口增长和土地面积减少,湿地的容量和生产力随时间下降。根据 AquaCrop 模型对从实地获得的各种统计数据进行校准。模型收集的信息的有效性取决于预测误差 (Pe)、决定系数 (R)、一致性指数 (d) 和模型效率 (ME),并根据这些指标来确定拟合优度。研究结果表明,生活在湿地周边的人们的经济依赖已从水稻生产转向渔业和其他水生植物生产。水生资源的水分生产力比水稻的水分生产力高 7%。该研究标志着湿地开发未来战略的成功,并敦促州政府采取管理政策,创造健康的湿地环境。