scholarly journals Productivity of Water in Large Rice (Paddy) Irrigation Schemes in the Upper Catchment of the Great Ruaha River Basin, Tanzania

Author(s):  
Makarius Victor ◽  
Theresia Francis
Ecosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Chia‐Ying Ko ◽  
Satoshi Asano ◽  
Meng‐Ju Lin ◽  
Tohru Ikeya ◽  
Elfritzson M. Peralta ◽  
...  

2020 ◽  
Vol 34 (10) ◽  
pp. 2190-2199
Author(s):  
Pardhasaradhi Teluguntla ◽  
Dongryeol Ryu ◽  
Biju George ◽  
Jeffrey P. Walker

2018 ◽  
Author(s):  
Takeo Yoshida ◽  
Takanori Nakano ◽  
Ki-cheol Shin ◽  
Takeo Tsuchihara ◽  
Hiroki Minakawa ◽  
...  

Abstract. Numerous studies have quantified stream–groundwater interactions using geochemical or environmental tracers. However, in watersheds where water is extensively used for rice paddy irrigation, uncertainties in estimation remain due to kinetic fractionation of stable isotopes during evaporation from ponded paddies and seasonal variations of the isotopic composition of recharged water. In this study, we used three different methods (streamflow observation, stable isotopes of water, and Sr isotopes) to quantify groundwater discharge to streams in a watershed substantially impacted by rice paddy irrigation in central Japan. We conducted point- and watershed-scale observations of surface water, soil water, groundwater, and ponded water in rice paddies and examined changes in these isotopic compositions. Point-scale observations revealed that Sr isotopes were more appropriate for quantification because the Sr isotopes in groundwater was significantly different from surface water and less variable in time compared to water isotopes. At watershed-scale, isotopic compositions of stream water changed linearly from upstream end to downstream end, suggesting streamflow consisted of two endmembers. We then quantified groundwater discharge to the stream based on measurement of streamflow and surface lateral inflow/outflow during both irrigation and non-irrigation periods. This water balance method yielded large uncertainties in the estimation due to errors in streamflow measurement, while Sr isotopes provided well constrained estimates during both irrigation and non-irrigation periods. The ratios of groundwater to the stream, estimated from Sr isotopes, was in the range 7–86 % during the irrigation period and 38–66 % during the non-irrigation period. Stable isotopes of water also provided good estimates during the non-irrigation period but underestimated groundwater discharge during the irrigation period due to the ill-defined groundwater end member. The use of Sr isotopes has the potential to aid in quantification of temporal variations in groundwater discharge and to provide important information for water resource managers.


2015 ◽  
Vol 47 (1) ◽  
pp. 137-156
Author(s):  
Masaki Sagehashi ◽  
Hiroko Mori ◽  
Yuta Hareyama ◽  
Kazuyuki Sakuma ◽  
Michihiro Akiba ◽  
...  

Rice paddy water management was integrated into a distributed three-dimensional surface and subsurface coupling hydrological model of the Sakuragawa River watershed. This watershed is located in the Kanto Plain in Japan and includes the hillside of Mt. Tsukuba. Therefore, this watershed includes both steep mountainous areas and rice paddy-dominated flat land. Thus, water management of rice paddies is important and was calculated separately using a paddy model. The use of groundwater for rice paddy irrigation was considered as well as a water supply from outside of the watershed (Kasumigaura Lake). The model parameters were calibrated and validated with reference to the predictability of river water flow and the groundwater level. Using the calibrated model, three-dimensional streamlines, water travel time distributions, and water balance in some grids were clarified. The developed model will facilitate sustainable water resource management in the watershed.


2020 ◽  
Vol 12 (23) ◽  
pp. 3959
Author(s):  
He Li ◽  
Dongjie Fu ◽  
Chong Huang ◽  
Fenzhen Su ◽  
Qingsheng Liu ◽  
...  

Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable rice production, food security, and agricultural development. This study proposes an operational automatic approach to mapping rice paddies using time-series SAR data. The proposed method integrates time-series Sentinel-1 data, auxiliary data of global surface water, and rice phenological characteristics with Google Earth Engine cloud computing platform. A total of 402 Sentinel-1 scenes from 2017 were used for mapping rice paddies extent in the Mun River basin. First, the calculated minimum and maximum values of the backscattering coefficient of permanent water (a classification type within global surface water data) in a year was used as the threshold range for extracting the potential extent. Then, three rice phenological characteristics were extracted based on the time-series curve of each pixel, namely the date of the beginning of the season (DBS), date of maximum backscatter during the peak growing season (DMP), and length of the vegetative stage (LVS). After setting a threshold for each phenological parameter, the final rice paddy extent was identified. Rice paddy map produced in this study was highly accurate and agreed well with field plot data and rice map products from the International Rice Research Institute (IRRI). The results had a total accuracy of 89.52% and an F1 score of 0.91, showing that the spatiotemporal pattern of extracted rice cover was consistent with ground truth samples in the Mun River basin. This approach could be expanded to other rice-growing regions at the national scale, or even the entire Indochina Peninsula and Southeast Asia.


2008 ◽  
Vol 22 (9) ◽  
pp. 1321-1328 ◽  
Author(s):  
Takao Masumoto ◽  
Pham Thanh Hai ◽  
Katsuyuki Shimizu

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