Mohammad Mehdi Moghimi | Shiraz University (original) (raw)

Papers by Mohammad Mehdi Moghimi

Pure and Applied Geophysics

Natural Hazards, Sep 2, 2022

Sustainable Water Resources Management, Aug 7, 2019

Evapotranspiration, as the main component of the hydrologic cycle, will affect plant water demand... more Evapotranspiration, as the main component of the hydrologic cycle, will affect plant water demands and water resources plan. The aims of present research were to evaluate the tendency in reference evapotranspiration (ET 0) by the Mann-Kendall test, the Spearman's Rho test and the linear regression analysis at the 5% significant level using meteorological data of 16 synoptic stations at Southern Iran during period 1980-2010. Results revealed that 1, 3, 6, and 12 monthly ET 0 in most regions of study area showed increasing trends. Only, Shiraz station exhibited the significant decreasing trend in all time scales based on statistical methods. The values of the significant raising tendencies in annual ET 0 varied among − 0.501 at Shiraz and + 3.194 mm/year at Bam. Based on seasonal time scale, also Bam station showed the maximum significant increasing tendency (in summer and spring) based on Mann-Kendall and Spearman's Rho techniques. The monthly analysis of trend in ET 0 series indicated that the highest amounts of stations with significant increase tendency discovered in May. In general, this study result indicates a serious warning about warming and climate change of southern Iran. This subject can cause different effects including increment of water consumption in agricultural sector, increase of water rain waste, enhancement of water waste in dams, reservoirs, lakes, etc., decrease of surface water quality, and food crisis.

Iranian Journal of Watershed Management Science and Engineering, Jul 15, 2008

Theoretical and Applied Climatology

Iranian Journal of Watershed Management Science and Engineering, 2008

Journal of Water and Soil Science, 2018

Sustainable Water Resources Management, 2019

Drought is one of the main natural causes of damages to the ecosystems, agricultural productions,... more Drought is one of the main natural causes of damages to the ecosystems, agricultural productions, water resources, etc. Many indices have been developed to assess drought severity. Reconnaissance Drought Index (RDI) and Effective Reconnaissance Drought Index (eRDI) are two of the newest indices in drought evaluation. These indices are based on ratio of precipitation and potential evapotranspiration. In this study meteorological data of 22 synoptic stations with different climatic conditions in Iran during 1967–2014 were used to calculate values of RDI and eRDI indices. According to the result of means comparison of RDI and eRDI values, in stations with humid condition such as Ramsar and Bandar Anzali difference of the means between RDI and eRDI indices were not significant at 5% level, but in stations with hyper arid and arid condition such as Chahbahar, Bandar Lengeh, Yazd and Zabol, difference of the means in RDI and eRDI was significant at 5% level. Therefore, it is suggested to replace RDI with eRDI in regions with hyper arid and arid conditions, but in regions with sub-humid and humid conditions because of the similarities between RDI and eRDI, RDI index (without need to calculate the effective rainfall) was used.

‫نشريه‬ ‫شمـاره‬ 7 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ‫صفحات‬ ، 55-79 27 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت... more ‫نشريه‬ ‫شمـاره‬ 7 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ‫صفحات‬ ، 55-79 27 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت‬ ،‫بيابان‬ ‫شماره‬ 2 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ، ‫صفحات‬ 55-29 ‫روند‬ ‫بررسي‬ ‫داده‬ ‫اساس‬ ‫بر‬ ‫فصلي‬ ‫خشکسالي‬ ‫تغييرات‬ ‫واقعي‬ ‫های‬ ... 23 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت‬ ،‫بيابان‬ ‫شماره‬ 2 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ، ‫صفحات‬ 55-29 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت‬ ،‫بيابان‬ ‫شماره‬ 2 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ، ‫صفحات‬ 55-29 ACF Residual ‫و‬ PACF Residual ‫بااه‬ ‫مااربااوط‬ ‫شایرا‬ ‫ایساتگاه‬ ‫شاکل‬ ‫در‬ ‫نمونه‬ ‫عنوان‬ ‫به‬ ‫ز‬ 2 ‫شده‬ ‫ارائه‬ .‫است‬ ‫شکل‬ 0-‫نمودارهای‬ ACF Residual ‫و‬ PACF Residual ‫داده‬ ‫سری‬ ‫در‬ ‫بینی‬ ‫پیش‬ ‫از‬ ‫پس‬ ‫شیراز‬ ‫های‬ ‫روند‬ ‫بررسي‬ ‫داده‬ ‫اساس‬ ‫بر‬ ‫فصلي‬ ‫خشکسالي‬ ‫تغييرات‬ ‫واقعي‬ ‫های‬ ... 59 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت‬ ،‫بيابان‬ ‫شماره‬ 2 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ، ‫صفحات‬ 55-29 ‫نشريه‬ ‫علمي‬-‫پژوهشي‬ ‫مديريت‬ ،‫بيابان‬ ‫شماره‬ 2 ، ‫تابستان‬ ‫و‬ ‫بهار‬ 9315 ، ‫صفحات‬ 55-29 No. 7, Spring & Summer, 2016, pp 71-85 D e s e ...

In this research, monthly rainfall of Shiraz synoptic station from March 1971 to February 2016 wa... more In this research, monthly rainfall of Shiraz synoptic station from March 1971 to February 2016 was studied using different time series models by ITSM Software. Results showed that the ARMA (1,12) model based on Hannan-Rissanen method was the best model which fitted to the data. Then, to assess the verification and accuracy of the model, the monthly rainfall for 60 months (from March 2011 to February 2016) was forecasted and compared with the observed rainfall values in this period. The determination coefficient of 99.86 percent (R2=0.9986) and positive correlation (P˂0.05) between the observed data and the predicted values by the ARMA (1,12) model illustrates the goodness of this model in prediction. Finally, based on this model, monthly rainfall values were predicted for the next 60 months that the model had not been trained. Results showed the forecasting ability of the chosen model. So, it can conclude that the ARMA (1,12) model is the best-fitted model overall.

Iran Agricultural Research, 2015

Addressing deficit irrigation scheduling (DIS) for strategic crop production (especially wheat) u... more Addressing deficit irrigation scheduling (DIS) for strategic crop production (especially wheat) under precipitation uncertainty is a priority for irrigation scheduling in drought conditions. This research investigated the precipitation uncertainty by enacting optimistic and pessimistic scenarios for the next 20 years by considering the statistical record of climate in Badjgah area. DIS was conducted in spring in two ways: (1) reducing the quantity of irrigation water at each irrigation event; (2) reducing the number of full irrigation events. Results indicated that, owing to the effect of precipitation increase on yield enhancement, grain yield in the optimistic scenario was on average 7% higher than those obtained in the pessimistic scenario. Furthermore, grain yields obtained via the second method of DIS was on average 8% higher than those obtained by the first method of DIS and further by increasing the water reduction fraction (WRF) to 0.6, this difference reached about 20% due ...

ABSTRACT- Efficient use of irrigation water for summer crops should be considered seriously due t... more ABSTRACT- Efficient use of irrigation water for summer crops should be considered seriously due to rare occurrence of precipitation in summer. This research was focused on the assessment of water use efficiency for dominant crops of summer cropping pattern in the study area (i.e., maize and rice) via considering water productivity (WP) with different water management scenarios at farm level at different climatic conditions. Results indicated that in most cases the maximum WP was not occurred at full irrigation scenario. With increasing irrigation application efficiency (Ea), WP increased and the maximum WP shifted toward higher water reduction fraction (WRF). For maize, in deficit irrigation scheduling (DIS) methods with full irrigation at flowering stage, more deficit irrigation application was economically acceptable. For rice, with increasing Ea and WRF, WP increased and deficit irrigation at different growth stages was economically acceptable. Considering the real cost of water,...

ARTICLE INFO ABSTRACT-In this research, the performance measures of water equity and productivity... more ARTICLE INFO ABSTRACT-In this research, the performance measures of water equity and productivity have been optimized in the entire Doroodzan Irrigation Network by using genetic algorithms. Results indicated that irrigation water management improvement at field scale [increasing irrigation application efficiency (Ea) and water reduction fraction (WRF)] has much more impressive impact on raising the performance measures than the improvement of conveyance efficiency of channels (Ec). Increments of Ea (40% to 90%) and Ec (70% to 90%) resulted in maximum and minimum incremental effects on water equity (on average 48.2% and 17.7%, respectively) and productivity (on average 92.0% and 10%, respectively). The incremental effect of WRF (0.0 to 0.8) on water equity and productivity was on average31.4% and 10%, respectively. Furthermore, the values of performance measures decreased from wet water year to drought water year. Tape irrigation system was considered as the best choice at low quanti...

Journal of Water and Climate Change, 2021

This research aims at assessing the impact of drought (in the form of original and modified recon... more This research aims at assessing the impact of drought (in the form of original and modified reconnaissance drought indices (ORDI and MRDI)) on water productivity of rainfed winter wheat in some arid and semi-arid regions of Iran. It focuses on different timescales of drought to determine which period of the year had the greatest significant impact. RDI was modified using the Food and Agriculture Organization of the United Nation method (FAO) (MRDI-1), US Bureau of Reclamation (USBR) (MRDI-2), the Simplified version of Soil Conservation Service of the US Department of Agriculture method (USDA-SCS-simplified) (MRDI-3), and the CROPWAT version of USDA-SCS method (USDA-SCS CROPWAT) (MRDI-4). Results showed that in Tabriz and Zanjan stations, 3-month scale of MRDI-2; in Ghazvin, Arak, and Kerman stations, 6-month scale of MRDI-4; in Sanandaj station, 12-month timescale of MRDI-3; and in Shiraz stations, 1-month timescale of MRDI-1 resulted in the highest values of correlation coefficient...

Irrigation and Drainage, 2021

Pure and Applied Geophysics, 2021

Considering the impact of drought on agricultural products and human food security, the selection... more Considering the impact of drought on agricultural products and human food security, the selection of the appropriate drought index to assess drought conditions is very important. Therefore, in this research, based on the relationship between the percent annual yield loss (AYL) of winter wheat (Triticum sativum) and three commonly used drought indices, i.e. Standardized Precipitation Evapotranspiration Index (SPEI), Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI), the accuracy of these indices was evaluated at 1-, 3-, 6- and 12-month time scales. Results showed that the average AYL at Ahvaz, Babolsar, Esfahan, Gorgan, Kerman, Mashhad, Ramsar, Rasht, Shiraz and Zabol was 66.64, 5.42, 97.52, 10.20, 98.57, 84.99, 2.47, 3.84, 77.03 and 97.07%, respectively. At stations with hyper-arid, semi-arid, Mediterranean, humid and hyper-humid type A climate conditions such as Zabol, Esfahan, Mashhad, Shiraz, Gorgan, Babolsar, Ramsar and Rasht stations, the calculated values of SPEI demonstrated the highest CC with AYL in winter wheat. At Kerman and Ahvaz, with arid climate conditions, the calculated values of the RDI had the greatest CC with AYL in winter wheat. Thus, in general, among the SPI, RDI and SPEI, the use of the SPEI is recommended for the assessment of drought characteristics.

Water Resources Management, 2021

In this study, using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS), th... more In this study, using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS), the sensitivity to the occurrence of different types of droughts including meteorological drought (Med), hydrological drought (Hyd), and agricultural drought (Agd) were evaluated. In this research, at first, some of the effective indicators in each type of droughts were selected (four indicators in Med, three indicators in Hyd, and seven indicators in Agd), then using the ArcGIS 10.3 software, the sensitivity map of drought for each indicator were prepared (all indicators classified in four classes including mild, moderate, severe, and very severe). Then, using the AHP method the weight of each indicator in each type of droughts was determined and the final map of drought sensitivity for different types of droughts was prepared by superposition the maps of effective indicators in each drought. The final map of drought sensitivity was prepared by superposition the Med, Hyd, and Agd sensitivity maps (after determining the weight of each using AHP). In the Med, 43.29% of the study area (Fars province, Iran) was classified in the moderate class of drought sensitivity and 56.71% in the severe class. In the Hyd, 0.46%, 33.25%, 62.49%, and 3.80% of the study area were classified in the mild, moderate, severe, and very severe classes (respectively), and in the Agd, 1.18%, 50.23%, and 48.59% of the study area were classified in the mild, moderate, and severe classes. The results showed that in final drought sensitivity, the Med with a weight equal to 0.36 was the most effective variable, and based on the final map, 38.26% and 61.74% of the study area were classified in the moderate and severe classes of drought sensitivity.